The last Python file over the cap:
_transcribe_media.py 143 _try_import, both duration probes,
get_media_duration, ffmpeg transcode, cleanup
_transcribe_cluster.py 105 _resample_linear, _kmeans_cosine and its
iteration loop
_transcribe_diarize.py 164 the pipeline: audio loading, the classifier,
embedding extraction, diarize_segments
The graph is a tree: _transcribe_media imports nothing local, _cluster takes
only _try_import from it, _diarize imports from both. All 13 top-level
definitions verified AST-identical to HEAD, and an AST scan confirms the
three module constants travelled to the modules that use them.
transcribe_fw.py now imports get_media_duration from _transcribe_media
rather than through _transcribe_diarize. Ruff removed that re-export as
unused and broke the import; running the program is what caught it, and
naming the owning module is the correct fix under the no-barrels rule.
Verified: transcribe_fw.py /nonexistent.wav still exits 2 and --help exits
0; 63 tests pass at 100% line and branch on all three modules; 338 pass in
the directory. Over-cap files 33 -> 32, and no Python file is over the cap
any more - the remaining 32 are 29 shell, 2 kotlin, 1 dart.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011w2Pj4Ek3ZNMQVYcFHgXDY
The largest untested Python file left in the repo, at 356 lines against the
cap. Tests land first so the split that follows is verified against tests
that predate the seam.
63 tests: duration probing through both ffmpeg paths, the transcode fallback
and temp-file cleanup, audio loading's three outcomes, linear resampling,
cosine k-means, the ECAPA classifier loader, per-segment embedding
extraction, and diarize_segments end to end.
numpy is real here, not a double. It is a declared dependency, and the core
of this file is clustering maths - assertions against a mocked numpy would
prove nothing about whether two speakers actually get two labels. The
_try_import seam passes numpy through while stubbing torch and speechbrain,
so the tests still run in CI with neither installed. The clustering tests
assert real properties: two opposed groups separate, magnitude is ignored
because the metric is cosine, and a fixed seed reproduces.
The last three coverage gaps were _load_audio's ffmpeg fallback in both
outcomes, the minimum-slice widening, and the zero-iteration k-means branch.
Split across six test modules after two intermediate arrangements went over
the cap, and one move silently broke a test by separating it from its
doubles - caught by the test count holding at 63 through every rearrangement.
338 tests pass in the directory, up from 275 by exactly the 63 added.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011w2Pj4Ek3ZNMQVYcFHgXDY
