#1670
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Ran 26 May 2026 05:20PM UTC

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Files 31

Run time 1min

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Committed 26 May 2026 05:12PM UTC coverage: 72.219%. Remained the same

Build # #1670

Build Type

push

travis-pro

Committed by

web-flow

Commit Message

Extend precision audit to fixture 146 (Phase-3 container with list parameters) (#553)

Fixture 146 was previously a structural-only test asserting only the
hybrid-status and tensor-parameter classification. Extend it to the full
audit: per-parameter `getTensorTypes()` and inferred signature.

Runtime: `add(a, b)` is called as `add(list, list)` where
`list = [tf.ones([1, 2]), tf.ones([2, 2])]`. Both `a` and `b` bind to a
Python list literal containing tensors. The function body `a + b` is
Python list concatenation, not tensor addition.

Audit verdict (IDEAL—not a precision gap):

- `getHasTensorParameter()` is `true`. Phase-3 container detection
  classifies the parameter as tensor-bearing because the list contains
  tensors.
- `a.getTensorTypes()` and `b.getTensorTypes()` are empty. The parameter
  itself is a list, not a tensor; no concrete `TensorType` to emit.
- `inferInputSignature()` drops. Without a concrete per-parameter tensor
  type, `inferSpec` cannot produce a `TensorSpec`.

The drop is correct: the function isn't a tensor function from the
runtime's perspective; it operates on Python lists. The Phase-3
classification correctly signals to hybridization that the function
participates in tensor data flow even though it doesn't take tensors
directly.

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>

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	#1670.1	26 May 2026 05:20PM UTC	31	72.22

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