Benchmark tests prototype

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[codecov]

Codecov Report

❌ Patch coverage is 16.22103% with 470 lines in your changes missing coverage. Please review.
✅ Project coverage is 92%. Comparing base (848266c) to head (e76e1b8).
⚠️ Report is 63 commits behind head on dev.

Files with missing lines	Patch %	Lines
...est/benchmarks/test_event_validation_benchmarks.py	9%	197 Missing ⚠️
bbot/test/benchmarks/test_excavate_benchmarks.py	15%	108 Missing ⚠️
bbot/test/benchmarks/test_ipaddress_benchmarks.py	18%	71 Missing ⚠️
...ot/test/benchmarks/test_bloom_filter_benchmarks.py	21%	42 Missing ⚠️
...t/test/benchmarks/test_closest_match_benchmarks.py	29%	27 Missing ⚠️
...est/benchmarks/test_weighted_shuffle_benchmarks.py	35%	25 Missing ⚠️

Additional details and impacted files

@@          Coverage Diff           @@
##             dev   #2591    +/-   ##
======================================
- Coverage     93%     92%    -1%     
======================================
  Files        404     410     +6     
  Lines      33387   33947   +560     
======================================
+ Hits       30922   31019    +97     
- Misses      2465    2928   +463     

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[github-actions]

🚀 Performance Benchmark Report

ℹ️ No baseline benchmark data available

Showing current results for benchmark-tests only.

📊 Current Results (benchmark-tests) - Click to expand

Results

Test Name	Mean Time	Ops/sec	Min	Max
Bloom Filter Dns Mutation Tracking Performance	8.02ms	124.7 ops/sec	7.72ms	8.54ms
Bloom Filter Large Scale Dns Brute Force	37.20ms	26.9 ops/sec	36.22ms	39.08ms
Large Closest Match Lookup	347.62ms	2.9 ops/sec	345.03ms	353.00ms
Realistic Closest Match Workload	190.01ms	5.3 ops/sec	188.33ms	191.62ms
Event Validation Full Scan Startup Small Batch	442.96ms	2.3 ops/sec	434.96ms	447.98ms
Event Validation Full Scan Startup Large Batch	800.78ms	1.2 ops/sec	754.53ms	838.61ms
Make Event Autodetection Small	31.25ms	32.0 ops/sec	30.84ms	34.29ms
Make Event Autodetection Large	318.98ms	3.1 ops/sec	317.56ms	320.52ms
Make Event Explicit Types	13.94ms	71.7 ops/sec	13.87ms	14.01ms
Excavate Single Thread Small	4.135s	0.2 ops/sec	4.023s	4.179s
Excavate Single Thread Large	9.856s	0.1 ops/sec	9.792s	9.908s
Excavate Parallel Tasks Small	4.322s	0.2 ops/sec	4.221s	4.375s
Excavate Parallel Tasks Large	7.434s	0.1 ops/sec	7.335s	7.500s
Is Ip Performance	3.22ms	310.1 ops/sec	3.10ms	4.40ms
Make Ip Type Performance	11.34ms	88.2 ops/sec	11.25ms	11.78ms
Mixed Ip Operations	4.46ms	224.1 ops/sec	4.42ms	4.87ms
Typical Queue Shuffle	62.40µs	16.0K ops/sec	60.25µs	102.97µs
Priority Queue Shuffle	712.97µs	1.4K ops/sec	694.26µs	902.76µs

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🐍 Python Version 3.11.13