🤖 Update Mock Benchmark Results

[thomhurst]

Automated Mock Benchmark Update

This PR updates the mock benchmark documentation with the latest results from the Mock Benchmarks workflow.

Benchmarks Produced

Individual benchmark artifacts are available for download:

• mock-benchmark-MockCreation
• mock-benchmark-Setup
• mock-benchmark-Invocation
• mock-benchmark-Verification
• mock-benchmark-Callback
• mock-benchmark-CombinedWorkflow
• mock-benchmark-summary (aggregated overview)

Libraries Compared

Libraries are discovered dynamically from the benchmark output. See the generated summary.json for the full list.

Changes

• Updated mock benchmark data in docs/static/benchmarks/mocks/latest.json
• Regenerated mock benchmark documentation in docs/docs/benchmarks/mocks/
• Updated mock benchmark summary in docs/static/benchmarks/mocks/summary.json

Workflow Run

• Run ID: 26861529853
• Triggered: schedule

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🤖 This PR was automatically created and will be merged automatically once CI checks pass.

[codacy-production]

Up to standards ✅

🟢 Issues 0 issues

Results:
0 new issues

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[claude]

Code Review

This is a clean automated benchmark documentation update. I reviewed it across multiple angles:

Data integrity checks (all passed):

• Bar chart values match table Mean values across all 78 benchmarks
• Y-axis upper bounds correctly use ceil(max * 1.2) in every chart
• Units are consistent (ns vs μs) — CombinedWorkflow.md correctly uses μs throughout
• latest.json values match all individual category JSON files exactly
• JSON Mean strings match every Markdown table value
• stats.totalBenchmarks = 78 is correct (Callback×12 + CombinedWorkflow×6 + Invocation×18 + MockCreation×12 + Setup×12 + Verification×18)

Observations (not blocking):

• Invocation benchmarks show unusually high error-to-mean ratios (e.g., FakeItEasy Invocation: Error=1,199.87 ns on Mean=1,977.5 ns ≈ 61%). This is faithfully reproduced from the CI run but may indicate JIT/warm-up noise in those specific micro-benchmarks. Worth monitoring across future runs.
• FakeItEasy Callback allocation dropped from 9.52 KB → 9.4 KB with reduced precision — consistent with how the new run formatted the output, no actual inconsistency.

No issues found. The automation is working correctly. ✅