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ponder-lab / Hybridize-Functions-Refactoring / #2745
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LAST BUILD BRANCH: gh-readonly-queue/main/pr-868-5893066056ffb04ae21c390b04092779c8ebd71a
DEFAULT BRANCH: main
Ran 06 Aug 2026 03:26AM UTC
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Run time 1min
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06 Aug 2026 03:21AM UTC coverage: 83.571%. Remained the same
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Split `input_signatures.csv` into `tensor_specs.csv` and `signature_absences.csv` (#857)

The `input_signatures.csv` emission was keyed per `TensorSpec` entry while
named for the aggregate, so a row count read as a signature count (#854).
Renaming alone would not fix the miscount: the `absent` disposition rows
added for #816 by #818 dominate the emission (about four fifths of rows in
a representative run), so any name stating the row entity would misstate
most rows. Dropping the rows instead would revert #818's deliberate
invariant that every considered function is accounted for in the output.

The emission is therefore partitioned by row kind. `tensor_specs.csv`
holds one row per `TensorSpec` of a modeled signature (source `inferred`
or `supplied`); `signature_absences.csv` holds the recorded absences with
their reasons (a blocking parameter, a function-level reason,
`NOT_ATTEMPTED`, or `UNMODELED`). The union of the two files carries
exactly the rows of the old file, and the every-function-contributes-a-row
invariant now holds across the pair.

The evaluator also writes a `README.md` beside the CSVs at run start,
documenting each emitted file's row grain.

Closes #854.


Claude-Session: https://claude.ai/code/session_01AM8pvSeP5UqDyyTn9h5E2P

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

3052 of 3652 relevant lines covered (83.57%)

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1 #2745.1 06 Aug 2026 03:26AM UTC 39
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