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ponder-lab / Hybridize-Functions-Refactoring / #1511
72%
main: 72%

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Build:
LAST BUILD BRANCH: test/precision-audit-batch-14
DEFAULT BRANCH: main
Ran 19 May 2026 08:22PM UTC
Jobs 1
Files 31
Run time 1min
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19 May 2026 08:19PM UTC coverage: 72.219% (+0.2%) from 72.036%
#1511

Pull #522

travis-pro

khatchad
Extend precision audit to fixture 59 (`tf.RaggedTensor`)

`tf.RaggedTensor.from_nested_row_splits(values, splits)` — runtime
dtype=int32, shape=(3, None, None). Ariadne emits an INT32 TensorType
with three dims: a known constant 3 followed by two unknown (null)
dims, matching the runtime shape exactly. No precision gap on Layer 1.

Notable Layer-2 behavior: the algorithm replaces null dims with
`SymbolicDim("?")` wildcards in the inferred signature — partial-unknown
per-dim degrades to per-dim wildcards rather than a whole-shape drop.
Documents the graceful-degradation property for ragged-rank inputs.

Inline assertion (not helper-based) because fixtures 60+ that use
`testHasLikelyTensorParameterHelper()` need a separate helper refactor
to carry expected TensorType through to the precision audit.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Pull Request #522: Precision audit: extend two-layer assertions to fixtures 13-58 + 59

1188 of 1645 relevant lines covered (72.22%)

0.72 hits per line

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ID Job ID Ran Files Coverage
1 #1511.1 19 May 2026 08:22PM UTC 31
72.22
Source Files on build #1511
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