#1621
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Ran 23 May 2026 03:07AM UTC

Jobs 1

Files 31

Run time 1min

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Committed 23 May 2026 03:03AM UTC coverage: 72.219%. Remained the same

Build # #1621

Build Type

Pull #542

travis-pro

Committed by

khatchad

Commit Message

Extend precision audit to fixtures 126-129 (`tf.experimental.numpy.ndarray`)

Cover the `value_index(a, b)` family that constructs args via `tf.experimental.numpy.ndarray(operation, value_index, dtype)`. Runtime verification (via `python3.10`): `tf.experimental.numpy.ndarray(op, 0, tf.float32)` returns `tensorflow.python.framework.ops.Tensor`—a regular dense Tensor of shape `()` (matching the underlying operation's output shape) and FLOAT32 dtype (from the explicit `dtype` arg).

All four fixtures are IDEAL: `FLOAT32, ()` at both Layer 1 and Layer 2. Same shape pattern as fixture 25 (`tf.Tensor(op, 0, tf.float32)` low-level constructor).

Also fix fixture 127's stale Javadoc—the comment said `tf.keras.layers.Input` but the Python uses `numpy.ndarray`. Corrected to match.

Fixtures 130-133 use the same numpy.ndarray API but with a different surrounding structure (two top-level functions per fixture, `@tf.function`-decorated outer); they need custom handling and are deferred to a follow-up.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Pull Request Pull Request #542: Extend precision audit to fixtures 126-129 (`tf.experimental.numpy.ndarray`)

Coverage Stats

1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

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ID	Job ID	Ran	Files	Coverage
1	#1621.1	23 May 2026 03:07AM UTC	31	72.22

ponder-lab / Hybridize-Functions-Refactoring / #1621
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