26321867817
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Ran 23 May 2026 03:10AM UTC

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Files 31

Run time 1min

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Committed 23 May 2026 03:07AM UTC coverage: 72.219%. Remained the same

Build # 26321867817

Build Type

Pull #543

github

Committed by

khatchad

Commit Message

Extend precision audit to fixture 144 (`tf.data.Dataset.from_tensor_slices`)

Cover fixture 144: `dataset = tf.data.Dataset.from_tensor_slices([1, 2, 3])` with `for element in dataset: add(element, element)`. Runtime verification: dataset iteration yields `EagerTensor` of `INT32, shape=()`—scalar elements.

IDEAL: `INT32, ()` at both Layer 1 and Layer 2.

Fixtures 145-158 share the dataset/tuple/list-iteration family but each needs distinct handling: 145 has multi-context (`tf.ones([1, 2])` and `tf.ones([2, 2])`) like fixture 15; 146 passes a list directly via Phase-3 container detection; 147 expects `getHasTensorParameter() == false`; 148-149 are inlined hybrid tests; 150-158 use single-arg tuple parameters with type hints. Each is its own batch to be reasoned through carefully rather than blasted via the symmetric helper.

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

Pull Request Pull Request #543: Extend precision audit to fixture 144 (`tf.data.Dataset.from_tensor_slices`)

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	26321867817.1	23 May 2026 03:10AM UTC	31	72.22	GitHub Action Run

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