Update cachetools requirement from <7.0.0,>=5.3.2 to >=5.3.2,<8.0.0

[dependabot]

Updates the requirements on cachetools to permit the latest version.

Changelog

Sourced from cachetools's changelog.

v7.0.5 (2026-03-09)

• Minor @cachedmethod performance improvements.

v7.0.4 (2026-03-08)

• Fix and properly document @cachedmethod.cache_key behavior.

• Minor documentation improvements.

v7.0.3 (2026-03-05)

• Fix DeprecationWarning when creating an autospec mock with @cachedmethod decorations.

v7.0.2 (2026-03-02)

• Provide more efficient clear() implementation for all support Cache classes (courtesy Josep Pon Farreny).

v7.0.1 (2026-02-10)

• Various test improvements.

• Update Copilot Instructions.

v7.0.0 (2026-02-01)

• Require Python 3.10 or later (breaking change).

• Drop support for passing info as fourth positional parameter to @cached (breaking change).

• Drop support for cache(self) returning None with @cachedmethod (breaking change).

• Convert the @cachedmethod wrappers to descriptors, deprecating its use with class methods and instances that do not provide a mutable __dict__ attribute (potentially breaking change).

... (truncated)

Commits

• 5dce86f Release v7.0.5.
• af5e688 Minor @​cachedmethod performance improvements.
• 0ca75e6 Relase v7.0.4.
• 5b1fa39 Prepare v7.0.4.
• 18e5930 Fix #218: Fix and properly document @​cachedmethod.cache_key handling.
• 98ec79f Drop "class method" from @​cachedmethod docstring.
• 93822a3 Release v7.0.3.
• 57d2e48 Fix #387: Handle obj=None case for inspection in _DescriptorBase.
• 8011b71 Release v7.0.2.
• 73d1602 Minor cleanups.
• Additional commits viewable in compare view

[github-actions]

📊 Performance Benchmark Report

Comparing dev (baseline) vs dependabot/pip/dev/cachetools-gte-5.3.2-and-lt-8.0.0 (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	4.22ms	4.32ms	+2.5% ⚪	✅
Bloom Filter Large Scale Dns Brute Force	18.00ms	17.57ms	-2.4% ⚪	✅
Large Closest Match Lookup	356.48ms	355.69ms	-0.2% ⚪	✅
Realistic Closest Match Workload	191.18ms	195.84ms	+2.4% ⚪	✅
Event Memory Medium Scan	1783 B/event	1784 B/event	+0.1% ⚪	✅
Event Memory Large Scan	1768 B/event	1768 B/event	+0.0% ⚪	✅
Event Validation Full Scan Startup Small Batch	409.08ms	425.55ms	+4.0% ⚪	✅
Event Validation Full Scan Startup Large Batch	591.00ms	597.95ms	+1.2% ⚪	✅
Make Event Autodetection Small	31.79ms	32.42ms	+2.0% ⚪	✅
Make Event Autodetection Large	321.32ms	322.51ms	+0.4% ⚪	✅
Make Event Explicit Types	14.32ms	14.14ms	-1.2% ⚪	✅
Excavate Single Thread Small	4.060s	4.076s	+0.4% ⚪	✅
Excavate Single Thread Large	9.626s	9.589s	-0.4% ⚪	✅
Excavate Parallel Tasks Small	4.247s	4.181s	-1.5% ⚪	✅
Excavate Parallel Tasks Large	7.321s	7.295s	-0.4% ⚪	✅
Is Ip Performance	3.24ms	3.27ms	+1.0% ⚪	✅
Make Ip Type Performance	11.67ms	11.71ms	+0.4% ⚪	✅
Mixed Ip Operations	4.60ms	4.60ms	-0.1% ⚪	✅
Memory Use Web Crawl	49.6 MB	51.4 MB	+3.7% ⚪	✅
Memory Use Subdomain Enum	19.3 MB	19.3 MB	+0.0% ⚪	✅
Scan Throughput 100	9.539s	7.445s	-22.0% 🟢🟢🟢	🚀
Scan Throughput 1000	46.598s	43.889s	-5.8% ⚪	✅
Typical Queue Shuffle	64.24µs	65.77µs	+2.4% ⚪	✅
Priority Queue Shuffle	740.30µs	731.65µs	-1.2% ⚪	✅

🎯 Performance Summary

+ 1 improvement 🚀
  23 unchanged ✅

🔍 Significant Changes (>10%)

• Scan Throughput 100: 22.0% 🚀 faster

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🐍 Python Version 3.11.15