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ponder-lab / Hybridize-Functions-Refactoring / 26302986351
72%
main: 72%

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Build:
LAST BUILD BRANCH: test/precision-audit-batch-14
DEFAULT BRANCH: main
Ran 22 May 2026 05:45PM UTC
Jobs 1
Files 31
Run time 1min
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22 May 2026 05:41PM UTC coverage: 72.219%. Remained the same
26302986351

Pull #532

github

khatchad
Extend precision audit to fixtures 83-93 (`random.*` family)

Cover the `tf.random.*` constructors with the precision-audit helper. All eleven fixtures are IDEAL—Layer 1 (Ariadne) and Layer 2 (Hybridize inference) both match the Python runtime ground truth, no TODO anchors needed.

- **`random.gamma(shape=[10], alpha=[2 floats])`** (83-86): output `(10, 2)` from `shape + broadcast(alpha)`, FLOAT32 default dtype.
- **`random.normal(shape=[4], mean, stddev, tf.float32)`** (87-89): output `(4,)`, FLOAT32 from explicit dtype argument.
- **`random.poisson(shape=[10], lam=[2 floats])`** (90-91): output `(10, 2)` matching `random.gamma`'s broadcasting rule.
- **`random.truncated_normal(shape=[2], ...)`** (92-93): output `(2,)`, FLOAT32 default dtype.

Add the one-arg `testHasLikelyTensorParameterHelper(TensorType expected)` overload back (it was removed when no caller existed); this batch is the first to use it for the symmetric-Layer-1==Layer-2 case.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Pull Request #532: Extend precision audit to fixtures 83-93 (`random.*` family)

1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

Jobs
ID Job ID Ran Files Coverage
1 26302986351.1 22 May 2026 05:45PM UTC 31
72.22
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Source Files on build 26302986351
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