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ponder-lab / Hybridize-Functions-Refactoring / #2410 / 1
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LAST BUILD BRANCH: 9669549a73e8cf74e40eabb3d0282681f9b62c21
DEFAULT BRANCH: main
Ran 10 Jul 2026 02:42AM UTC
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10 Jul 2026 02:38AM UTC coverage: 81.235% (+0.005%) from 81.23%
#2410.1

Pull #752

github

khatchad
Harden the numpy shape precondition: poison ambiguous descriptors, cache the index

Two post-merge review findings on #750:

- colorShapeFrom let the last writer win when a value received shape provenance
  from two conflicting sources (e.g. a phi merge), which could "prove" staticness
  from one source only. Poison such a value to an ambiguous descriptor (null
  source, so it resolves to ⊤/unprovable), the conservative outcome.
- indexTensorTypes was rebuilt on every appliesNumpyToParameters call, i.e. per
  call-graph node of every function. Build it once per function and reuse it
  across the function's nodes; indexTensorTypes is now the shared entry point.

Behavior-preserving on the corpus and the unit fixtures (no conflicting
descriptors arise there); suite 570 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01He1ULx8nRoHzGicMryry1A
Pull Request #752: Harden the numpy shape precondition: poison ambiguous descriptors and cache the type index

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