Bump tabulate from 0.8.10 to 0.10.0

[dependabot]

Bumps tabulate from 0.8.10 to 0.10.0.

Changelog

Sourced from tabulate's changelog.

• 0.10.0: Add support for Python 3.11, 3.12, 3.13, 3.14. Drop support for Python 3.7, 3.8, 3.9. PRESERVE_STERILITY global is replaced with preserve_sterility function argument. New formatting options: headersglobalalign, headersalign, colglobalalign. New output format: colon_grid (Pandoc grid_tables with alignment) Various bug fixes. Improved error messages.
• 0.9.0: Drop support for Python 2.7, 3.5, 3.6. Migrate to pyproject.toml project layout (PEP 621). New output formats: asciidoc, various *grid and *outline formats. New output features: vertical row alignment, separating lines. New input format: list of dataclasses (Python 3.7 or later). Support infinite iterables as row indices. Improve column width options. Improve support for ANSI escape sequences and document the behavior. Various bug fixes.

Commits

• 3b4cd50 update HOWTOPUBLISH
• 35ee0f6 update mini-benchmark table
• 37ac76e restore tabulate.version
• 37e1ed0 move # nowa: E931 to a different line (flake8)
• 7bacc90 run pre-commit hooks (black)
• 1b69704 Remove spurious cast in string interpolation
• 4d535af Use specific noqa directives
• 76c3d37 Remove spurious space from error message
• 13508e7 Unnecessary list call
• 69f67cd Do not call getattr with a constant value
• Additional commits viewable in compare view

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[github-actions]

📊 Performance Benchmark Report

Comparing dev (baseline) vs dependabot/pip/dev/tabulate-0.10.0 (current)

📈 Detailed Results (All Benchmarks)

📋 Complete results for all benchmarks - includes both significant and insignificant changes

🧪 Test Name	📏 Base	📏 Current	📈 Change	🎯 Status
Bloom Filter Dns Mutation Tracking Performance	4.21ms	4.19ms	-0.4% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	17.30ms	17.66ms	+2.1% ⚪	✅
Large Closest Match Lookup	349.25ms	344.21ms	-1.4% ⚪	✅
Realistic Closest Match Workload	190.29ms	190.17ms	-0.1% ⚪	✅
Event Memory Medium Scan	1784 B/event	1774 B/event	-0.5% ⚪	✅
Event Memory Large Scan	1768 B/event	1766 B/event	-0.2% ⚪	✅
Event Validation Full Scan Startup Small Batch	412.91ms	407.70ms	-1.3% ⚪	✅
Event Validation Full Scan Startup Large Batch	575.67ms	593.26ms	+3.1% ⚪	✅
Make Event Autodetection Small	30.74ms	31.18ms	+1.4% ⚪	✅
Make Event Autodetection Large	312.43ms	317.14ms	+1.5% ⚪	✅
Make Event Explicit Types	13.78ms	13.79ms	+0.1% ⚪	✅
Excavate Single Thread Small	3.904s	3.927s	+0.6% ⚪	✅
Excavate Single Thread Large	9.558s	9.428s	-1.4% ⚪	✅
Excavate Parallel Tasks Small	4.079s	4.091s	+0.3% ⚪	✅
Excavate Parallel Tasks Large	7.167s	7.196s	+0.4% ⚪	✅
Is Ip Performance	3.18ms	3.17ms	-0.2% ⚪	✅
Make Ip Type Performance	11.52ms	11.53ms	+0.1% ⚪	✅
Mixed Ip Operations	4.53ms	4.48ms	-1.1% ⚪	✅
Memory Use Web Crawl	46.1 MB	48.3 MB	+4.9% ⚪	✅
Memory Use Subdomain Enum	19.3 MB	19.3 MB	+0.0% ⚪	✅
Scan Throughput 100	8.574s	8.492s	-1.0% ⚪	✅
Scan Throughput 1000	44.157s	40.412s	-8.5% ⚪	✅
Typical Queue Shuffle	63.72µs	65.32µs	+2.5% ⚪	✅
Priority Queue Shuffle	722.76µs	731.22µs	+1.2% ⚪	✅

🎯 Performance Summary

✅ No significant performance changes detected (all changes <10%)

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🐍 Python Version 3.11.15