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ponder-lab / Hybridize-Functions-Refactoring / 26309126899
72%
main: 72%

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Build:
LAST BUILD BRANCH: warn/unknown-tf-function-arg
DEFAULT BRANCH: main
Ran 22 May 2026 08:02PM UTC
Jobs 1
Files 31
Run time 1min
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22 May 2026 07:58PM UTC coverage: 72.219%. Remained the same
26309126899

Pull #537

github

khatchad
Extend precision audit to fixtures 109-111 (`sparse.SparseTensor`)

Sister batch to #534 (`sparse.eye`). Each fixture constructs a `tf.sparse.SparseTensor(indices=[[0,0],[1,2]], values=[1,2], dense_shape=[3,4])`—two non-zero values in a (3, 4) sparse matrix. Ariadne emits `INT32, (NumericDim(3), NumericDim(4))`, matching the static `dense_shape`. The inference algorithm passes that through unchanged.

The numerical assertion is clean. The runtime-semantics finding from #533 applies identically here: a `tf.function(input_signature=[TensorSpec(shape=(3, 4), dtype=int32)])` rejects a `SparseTensor` argument at runtime, since TF distinguishes `SparseTensor` from `Tensor` at the API level. The precise emission is `tf.SparseTensorSpec`. Inline TODO comments at fixtures 109-111 reference #533; the numerical assertions pin current behavior unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Pull Request #537: Extend precision audit to fixtures 109-111 (`sparse.SparseTensor`)

1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

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ID Job ID Ran Files Coverage
1 26309126899.1 22 May 2026 08:02PM UTC 31
72.22
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