26309299143
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Ran 22 May 2026 08:06PM UTC

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Committed 22 May 2026 08:02PM UTC coverage: 72.219%. Remained the same

Build # 26309299143

Build Type

push

github

Committed by

khatchad

Commit Message

Extend precision audit to fixtures 112-117 (`ragged.range`)

Apply the two-layer audit helper to fixtures 112-117, all exercising `tf.ragged.range(starts, limits, deltas)` with scalar arguments (e.g. `(3, 18, 3)` or `(6, 21, 3)`).

Runtime ground truth (verified via `python3.10`): `tf.ragged.range(3, 18, 3)` returns a `RaggedTensor` of shape `(1, None)` with INT32 dtype—single outer row, ragged inner. Ariadne emits `INT32, (NumericDim(1), null)` matching the static structure, with the ragged inner dim encoded as raw `null` pre-wala/ML#544. Hybridize collapses to `INT32, (NumericDim(1), SymbolicDim("?"))`.

The runtime emission carries the same #524 concern as the other genuinely-ragged constructors (`from_nested_row_splits`, etc.): the inferred `TensorSpec` would reject a `RaggedTensor` argument at call time. Carried forward via the canonical TODO-anchored fixture `testHasLikelyTensorParameter59` and the translation-site comment in `Function#inferInputSignature`.

Distinct from #536 (`ragged.constant([1, 2])`): the flat-list ragged-constant case degenerates to a regular `Tensor` at runtime; `ragged.range` always returns a `RaggedTensor` for the scalar-argument shape used here.

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

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1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

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ID	Job ID	Ran	Files	Coverage
1	26309299143.1	22 May 2026 08:06PM UTC	31	72.22	GitHub Action Run

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