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ponder-lab / Hybridize-Functions-Refactoring / #1633
72%
main: 72%

Build:
Build:
LAST BUILD BRANCH: feat/run-output-fixtures
DEFAULT BRANCH: main
Ran 26 May 2026 01:59PM UTC
Jobs 1
Files 31
Run time 1min
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26 May 2026 01:55PM UTC coverage: 72.219%. Remained the same
#1633

Pull #545

travis-pro

khatchad
Extend precision audit to fixture 145 (multi-context `tf.ones`)

Cover fixture 145 with a multi-context audit assertion: `add(element, element)` is called inside `for element in [tf.ones([1, 2]), tf.ones([2, 2])]`, so each parameter sees two distinct `TensorType` values across loop iterations. FLOAT32 dtype agrees and rank-2 agrees but position-0 dim disagrees (1 vs 2) while position-1 agrees (2 vs 2).

- **Layer 1:** `Set.of(TensorType(FLOAT32, (1, 2)), TensorType(FLOAT32, (2, 2)))` for both `a` and `b`.
- **Layer 2:** `inferInputSignature` produces `TensorType(FLOAT32, (SymbolicDim("?"), NumericDim(2)))`—per-dim consensus where dims agree, wildcard where they disagree. Signature is `[inferred, inferred]`.

This is a IDEAL multi-context case: the inferred signature accurately admits both observed call sites (a `(?, 2)` signature accepts both `(1, 2)` and `(2, 2)` inputs).

Drop the now-unused zero-arg `testHasLikelyTensorParameterHelper()` overload (fixture 145 was its last caller; converted to inline here). Update one cross-reference in the helper Javadoc from `()` to `(boolean, boolean)` accordingly.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Pull Request #545: Extend precision audit to fixture 145 (multi-context `tf.ones`)

1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

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ID Job ID Ran Files Coverage
1 #1633.1 26 May 2026 01:59PM UTC 31
72.22
Source Files on build #1633
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