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ponder-lab / Hybridize-Functions-Refactoring / #2798
84%
main: 84%

Build:
Build:
LAST BUILD BRANCH: 0d3fd132bb46186d34f1c50fce05e2f7f0695092
DEFAULT BRANCH: main
Ran 07 Aug 2026 10:32PM UTC
Jobs 1
Files 40
Run time 1min
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07 Aug 2026 10:27PM UTC coverage: 83.659%. Remained the same
#2798

Pull #880

github

khatchad
Cover the enumerate-dispatch reach the 0.52.82 release opened

Nothing in the suite exercised dispatch reached through an
enumerate-loop pair binding, so the release that opened that reach
(wala/ML#826: enumerate now yields (index, element) tuples) moved the
corpus while moving zero pins (#872). The fixture vendors a reduction of
NLPGNN's GPT2 encoder loop: blocks consumed only through
`for i, (block, layer_past) in enumerate(zip(...))` followed by
`block(...)`, with `MLP.call` beneath the dispatch. The pin asserts
`MLP.call` hybridizes (P1), which requires seeing through the pair
binding and two keras-layer dispatches.

Validated two-sided: under Ariadne 0.52.81 the element binding carries
nothing, `MLP.call` earns no call graph node, and the pin fails
(expected P1, was null); at the current 0.52.83 pin the class runs
627/627.

Fixes #872.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X8W9PDNUSQFzZRUAYJmRiE
Pull Request #880: Cover the enumerate-dispatch reach the 0.52.82 release opened

3164 of 3782 relevant lines covered (83.66%)

0.84 hits per line

Jobs
ID Job ID Ran Files Coverage
1 #2798.1 07 Aug 2026 10:32PM UTC 40
83.66
Source Files on build #2798
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