Bump tabulate from 0.8.10 to 0.9.0

[dependabot]

Bumps tabulate from 0.8.10 to 0.9.0.

Changelog

Sourced from tabulate's changelog.

• 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

• bf58e37 version bump to 0.9.0, update README (Benchmark, Contributors), CHANGELOG
• fd0a34c Merge pull request #201 from astanin/dev-pep621
• 0a6554e appveyor: upgrade setuptools before build (should fix UNKNOWN package name)
• d99d9ae ignore ImportError when importing version number
• 3e45eac update appveyor.yml to use pyproject.toml instead of setup.py
• 05e88d2 fix test_cli - change script path, do not import .version if init.py is r...
• 4e2eeb1 update tox.ini - use a virtual environment to build a source dist from the so...
• 6e37802 Merge pull request #179 from KOLANYCH-libs:pyproject.toml
• 9172378 fix tests failing after PR#183 (remove 1 space from the expected values)
• 930a943 reformat with black, fix flake warnings
• Additional commits viewable in compare view

Most Recent Ignore Conditions Applied to This Pull Request

Dependency Name	Ignore Conditions
tabulate	[>= 0.10.dev0, < 0.11]

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[github-actions]

📊 Performance Benchmark Report

Comparing dev (baseline) vs dependabot/uv/dev/tabulate-0.9.0 (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	4.37ms	4.52ms	+3.5% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	19.46ms	19.11ms	-1.8% ⚪	✅
Large Closest Match Lookup	376.58ms	361.19ms	-4.1% ⚪	✅
Realistic Closest Match Workload	197.93ms	196.58ms	-0.7% ⚪	✅
Event Memory Medium Scan	1402 B/event	1402 B/event	+0.0% ⚪	✅
Event Memory Large Scan	1527 B/event	1527 B/event	+0.0% ⚪	✅
Event Validation Full Scan Startup Small Batch	405.27ms	420.65ms	+3.8% ⚪	✅
Event Validation Full Scan Startup Large Batch	544.05ms	542.66ms	-0.3% ⚪	✅
Make Event Autodetection Small	26.60ms	26.17ms	-1.6% ⚪	✅
Make Event Autodetection Large	270.91ms	265.20ms	-2.1% ⚪	✅
Make Event Explicit Types	11.84ms	11.63ms	-1.8% ⚪	✅
Excavate Single Thread Small	4.577s	4.237s	-7.4% ⚪	✅
Excavate Single Thread Large	10.334s	10.007s	-3.2% ⚪	✅
Excavate Parallel Tasks Small	4.739s	4.409s	-7.0% ⚪	✅
Excavate Parallel Tasks Large	6.856s	6.571s	-4.2% ⚪	✅
Intercept Throughput Small	889.52ms	887.45ms	-0.2% ⚪	✅
Intercept Throughput Medium	946.05ms	940.80ms	-0.6% ⚪	✅
Dns Throughput Quiet	2.784s	2.819s	+1.3% ⚪	✅
Dns Throughput Loaded	1.973s	1.993s	+1.0% ⚪	✅
Dns Throughput Inherited	2.436s	2.393s	-1.8% ⚪	✅
Is Ip Performance	2.29ms	2.29ms	-0.2% ⚪	✅
Make Ip Type Performance	236.28µs	242.99µs	+2.8% ⚪	✅
Mixed Ip Operations	2.39ms	2.37ms	-0.5% ⚪	✅
Memory Use Web Crawl	1.0 MB	1.0 MB	+0.0% ⚪	✅
Memory Use Subdomain Enum	28.3 MB	28.3 MB	-0.0% ⚪	✅
Memory Use Deep Chain	5.0 MB	5.0 MB	+0.0% ⚪	✅
Memory Use Parallel Chains	10.2 MB	12.6 MB	+23.6% 🔴🔴🔴	⚠️
Scan Throughput 100	2.899s	2.964s	+2.2% ⚪	✅
Scan Throughput 1000	22.739s	21.851s	-3.9% ⚪	✅
Typical Queue Shuffle	5.38µs	5.47µs	+1.6% ⚪	✅
Priority Queue Shuffle	25.97µs	26.95µs	+3.8% ⚪	✅

🎯 Performance Summary

! 1 regression ⚠️
  30 unchanged ✅

🔍 Significant Changes (>10%)

• Memory Use Parallel Chains: 23.6% 🐌 more memory

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🐍 Python Version 3.11.15

[liquidsec]

@dependabot ignore this minor version

[dependabot]

OK, I won't notify you about version 0.9.x again, unless you re-open this PR.