Python 3.15 unicodedata.iter_graphemes() integration

[jquast]

We can use unicodedata.iter_graphemes() added in Python 3.15 for a (probably) faster iter_graphemes() and its many dependencies, like wrap().

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (6ddc5ea) to head (a673460).

Additional details and impacted files

@@            Coverage Diff            @@
##            master      #206   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           23        23           
  Lines         1525      1541   +16     
  Branches       365       369    +4     
=========================================
+ Hits          1525      1541   +16     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[jquast]

Paused until codspeed supports python 3.15 -- it should show faster performance

[codspeed-hq]

Merging this PR will improve performance by 40.59%

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

#### 🎉 Hooray! `pytest-codspeed` just leveled up to 5.0.3!

A heads-up, this is a breaking change and it might affect your current performance baseline a bit. But here's the exciting part - it's packed with new, cool features and promises improved result stability 🥳!
Curious about what's new? Visit our releases page to delve into all the awesome details about this new version.

⚡ 33 improved benchmarks
✅ 55 untouched benchmarks

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
⚡	test_iter_graphemes_combining	306.2 µs	76.5 µs	×4
⚡	test_iter_graphemes_emoji	114.4 µs	42.3 µs	×2.7
⚡	test_iter_graphemes_ascii	115 µs	46.1 µs	×2.5
⚡	test_clip_cursor_cr_control_codes_ignore	605.6 µs	320.6 µs	+88.9%
⚡	test_clip_long_cjk_overtype	10.5 ms	5.9 ms	+78.44%
⚡	test_clip_cursor_cr_overwrite	2.8 ms	1.7 ms	+65.29%
⚡	test_clip_long_cjk_past_window	432.2 µs	270.9 µs	+59.53%
⚡	test_clip_long_cjk_control_codes_ignore	432.1 µs	271.9 µs	+58.95%
⚡	test_wcwidth_ascii	21.5 µs	13.7 µs	+56.95%
⚡	test_clip_cursor_csi_backward	829.9 µs	556.5 µs	+49.12%
⚡	test_clip_complex_sgr_no_overtype	251.7 µs	177.2 µs	+42.01%
⚡	test_clip_complex_sgr	258.8 µs	183.1 µs	+41.39%
⚡	test_clip_japanese	112.5 µs	81.9 µs	+37.25%
⚡	test_clip_dense_ansi_control_codes_ignore	545.8 µs	406.3 µs	+34.31%
⚡	test_clip_dense_ansi_no_overtype	543 µs	406.9 µs	+33.45%
⚡	test_wcwidth_emoji	13.9 µs	10.6 µs	+31.37%
⚡	test_wcwidth_combining	14.3 µs	10.9 µs	+30.67%
⚡	test_clip_with_ansi_no_propagate	119.3 µs	94.5 µs	+26.22%
⚡	test_clip_dense_ansi_overtype	642.5 µs	511.1 µs	+25.71%
⚡	test_clip_dense_ansi_past_window	774.6 µs	644.3 µs	+20.22%
...	...	...	...	...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Tip

Curious why this is faster? Comment @codspeedbot explain why this is faster on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing jq/python-315-iter-graphemes (a673460) with master (6ddc5ea)}