test: add hypothesis property-based tests for analysis invariants#42
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Property-based testing dependency for analysis invariant tests (#17). Lockfile regenerated with uv lock for CI's --locked sync. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
New tests/test_invariants.py covering algorithmic invariants that must hold for any valid input (issue #17): - integrated LUFS shifts by exactly 20*log10(scale) under amplitude scaling - identical L/R channels: correlation 1.0, width 0, balance 0, no polarity flag - polarity-flipped right channel: correlation -1.0, polarity flag set - time reversal preserves octave-band energies, centroid, and stereo correlation - DC offset above threshold is always flagged by detect_problems - leading silence is excluded by EBU R128 gating (integrated LUFS and true peak unchanged) Hypothesis profiles registered in conftest.py: default "ci" profile is derandomized for reproducibility; "nightly" (HYPOTHESIS_PROFILE=nightly) runs randomized with 200 examples for broader coverage. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Scheduled daily run of tests/test_invariants.py with the randomized "nightly" hypothesis profile (200 examples) for broader coverage than the derandomized default used in CI (#17). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Match the checkout version bumped repo-wide by #39. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
Adds property-based invariant tests with hypothesis, per the plan in #17.
hypothesis>=6.0added to thedevextra;uv.lockregenerated for CI'suv sync --locked.tests/conftest.py:ci(default): derandomized, 20 examples — fully deterministic in CI and locally, satisfying the reproducibility requirement without any pytest flag changes.nightly: randomized, 200 examples — selected viaHYPOTHESIS_PROFILE=nightly.tests/test_invariants.py(7 property tests):20*log10(scale)(±0.1 LU).1.0, width0.0, balance0.0, no polarity flag.-1.0,polarity_invertedset.5e-4threshold is always flagged bydetect_problems..github/workflows/nightly-hypothesis.yml: daily scheduled + manual-dispatch run of the invariant tests with the randomized nightly profile (permissions: contents: read, no untrusted input interpolation).All invariants pass on the current implementation — no bugs revealed, so no follow-up issues or xfails were needed. Tolerances were tuned empirically (time-reversal signal lengthened to 2 s to keep frame-boundary effects well below tolerance; worst observed deviation across 40 random seeds is 0.2 dB against the 1.0 dB bound).
Closes #17
Test plan
uv run pytest tests/test_invariants.py -q— 7 passeduv run pytest tests/ -x -q— 1043 passed, 47 skippeduv tool run ruff check src/ tests/andruff format --check— cleanHYPOTHESIS_PROFILE🤖 Generated with Claude Code