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ponder-lab / Hybridize-Functions-Refactoring / #2617
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main: 84%

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LAST BUILD BRANCH: fed0cbf564e64cc505c53a264e244d915a2c46bd
DEFAULT BRANCH: main
Ran 01 Aug 2026 03:44AM UTC
Jobs 1
Files 33
Run time 1min
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01 Aug 2026 03:40AM UTC coverage: 83.129%. Remained the same
#2617

Pull #820

github

khatchad
Make the dynamic-shape numpy fixture run to completion

The module-level driver called `head_over_dynamic` on the symbolic Keras input and crashed: `get_shape(inp)` is `[None, 5]`, so `np.prod` feeds `None` into the reshape target, which is exactly the hazard the fixture models. The driver now witnesses the crash (`try`/`except` plus an assertion that it happened) instead of exiting nonzero on it, keeping the call site and its argument typing intact for the analysis. The issue's originally reported dtype mismatch belongs to an earlier form of the driver that the wala/ML#722 rework already replaced; the run-to-completion violation is what remained.

Full suite green, pinning that the classification evidence survives the guarded call.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GcqABsog1rtb4m2CDZdcRD
Pull Request #820: Make the dynamic-shape numpy fixture run to completion

2444 of 2940 relevant lines covered (83.13%)

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1 #2617.1 01 Aug 2026 03:44AM UTC 33
83.13
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