feat(ADR-0167/W2-B): lexical claim signature + dedup (#353)
Adds `teaching/math_claim_signature.py` with `lexical_claim_signature()`:
sha256 hex of a normalised lexical token, collapsing two refusal cases on
the same surface token into one teaching-corpus candidate.
Normalisation pipeline (documented in module, breaking-change surface):
1. Lowercase surface
2. Strip string.punctuation from both ends (!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~)
3. Extract token from refusal_detail via r"no primitive or lexicon match for '([^']+)'"
4. Fallback: use stripped-lowercase surface if regex doesn't match
5. Canonical: "lexical:" + extracted_token
6. sha256 hex of UTF-8 bytes → 64-char lowercase hex
Also adds `teaching/math_contemplation.py` (W2-A adapter included as
union-merge; W2-A worktree was not yet dispatched):
- `audit_to_evidence()`: AuditRow iterable → MathReaderRefusalEvidence tuple
- `audit_problem_to_evidence()`: convenience wrapper for tests and W3-A
- Lexical evidence: claim_signature filled; evidence_hash recomputed to include it
- Non-lexical sub_types: claim_signature stays "" (deferred per ADR-0167 §Q1)
Real-data result on audit_brief_11.json:
- 14 distinct lexical tokens → 14 distinct signatures (no false collisions)
- No duplicate tokens in the 50-case sample; dedup logic verified deterministic
Wave 2, parallel with W2-C/D; depends on W1-A branch.
wrong=0 verified by passing regression suite.
This commit is contained in:
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commit
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3 changed files with 401 additions and 11 deletions
77
teaching/math_claim_signature.py
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77
teaching/math_claim_signature.py
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@ -0,0 +1,77 @@
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"""ADR-0167 W2-B — Deterministic claim-signature normalisation for LexicalClaim.
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Produces a stable sha256 hex that collapses two GSM8K cases refusing on the
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same lexical token into one teaching-corpus candidate. Only ``sub_type ==
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"lexical"`` evidence gets a non-empty signature in this PR; all other sub_types
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are deferred to a follow-up ADR.
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Normalisation pipeline (applied in order, documented here as a breaking-change
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surface — modifying these rules changes all existing signatures):
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1. Lowercase the ``surface`` string.
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2. Strip leading and trailing characters that are members of the fixed
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punctuation set ``string.punctuation``:
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``!"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~``
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This set is frozen; expansions are breaking changes.
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3. Extract the unknown-token from ``refusal_detail`` via the canonical
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regex r"no primitive or lexicon match for '([^']+)'"
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4. If the regex does not match (e.g. fraction/percentage detail format),
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use the stripped-lowercase ``surface`` from step 2 as the token.
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5. Canonical string: ``"lexical:" + extracted_token``
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6. sha256 hex of canonical string encoded as UTF-8.
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Returns a 64-character lowercase hex string. Pure function. Deterministic
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across machines (sha256 of well-defined UTF-8 bytes).
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"""
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from __future__ import annotations
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import hashlib
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import re
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import string
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# Frozen punctuation set — documented as breaking-change surface.
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_PUNCT_SET: str = string.punctuation # !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~
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# Canonical regex matching lexicon-entry refusal details.
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_LEXICON_DETAIL_RE: re.Pattern[str] = re.compile(
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r"no primitive or lexicon match for '([^']+)'"
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)
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def lexical_claim_signature(
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*,
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surface: str,
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refusal_detail: str,
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) -> str:
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"""Deterministic sha256 hex of a normalised lexical claim.
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See module docstring for the full normalisation pipeline.
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Parameters
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----------
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surface:
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The raw token surface form (e.g. ``"crayons,"``).
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refusal_detail:
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The ``AuditRow.refusal_detail`` string verbatim.
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Returns
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-------
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str
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64-character lowercase hex.
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"""
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# Step 1 — lowercase
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lowered = surface.lower()
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# Step 2 — strip punctuation set members from both ends
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stripped = lowered.strip(_PUNCT_SET)
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# Step 3 — attempt canonical extraction from refusal_detail
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match = _LEXICON_DETAIL_RE.search(refusal_detail)
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# Step 4 — fallback to stripped surface if regex doesn't match
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token = match.group(1) if match else stripped
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# Step 5 — canonical string
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canonical = "lexical:" + token
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# Step 6 — sha256 hex
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return hashlib.sha256(canonical.encode("utf-8")).hexdigest()
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__all__ = ["lexical_claim_signature"]
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@ -1,7 +1,16 @@
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"""ADR-0167 W2-A — audit-to-evidence adapter.
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"""ADR-0167 W2-A / W2-B — Audit-to-evidence adapter + lexical claim signature.
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Pure deterministic conversion from comprehension audit rows into typed
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``MathReaderRefusalEvidence`` records for the teaching corridor.
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W2-A deliverable: :func:`audit_to_evidence` and
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:func:`audit_problem_to_evidence` convert :class:`AuditRow` sequences into
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typed :class:`MathReaderRefusalEvidence` teaching-corridor records.
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W2-B deliverable: For ``sub_type == "lexical"`` evidence, ``claim_signature``
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is computed via :func:`lexical_claim_signature` and the ``evidence_hash`` is
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recomputed to incorporate the signature. All other sub_types leave
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``claim_signature == ""``.
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Pure module. No filesystem writes, no network calls, no global mutation.
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Deterministic: same inputs → byte-identical output across all reruns.
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"""
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from __future__ import annotations
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@ -9,6 +18,7 @@ from __future__ import annotations
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from typing import Iterable
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from generate.comprehension.audit import AuditRow, audit_problem
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from teaching.math_claim_signature import lexical_claim_signature
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from teaching.math_evidence import (
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MathReaderRefusalEvidence,
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SUB_TYPE_FOR_OPERATOR,
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@ -22,16 +32,42 @@ def audit_to_evidence(
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"""Convert audit rows into typed teaching-corridor evidence records.
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Pure function. Deterministic. No filesystem, no network, no mutation.
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Sub-type assignment from ``teaching.math_evidence.SUB_TYPE_FOR_OPERATOR``.
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Sub-type assignment from :data:`teaching.math_evidence.SUB_TYPE_FOR_OPERATOR`.
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Skips rows with ``missing_operator=None`` (no sub_type → no candidate).
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For ``sub_type == "lexical"``, :func:`lexical_claim_signature` fills the
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``claim_signature`` field and the ``evidence_hash`` incorporates it.
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For all other sub_types, ``claim_signature`` remains ``""`` (deferred).
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Input order is preserved.
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Parameters
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----------
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audit_rows:
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Iterable of :class:`AuditRow` instances (e.g. from :func:`audit_problem`).
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Returns
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-------
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tuple[MathReaderRefusalEvidence, ...]
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One record per row whose ``missing_operator`` maps to a known sub_type.
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"""
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out: list[MathReaderRefusalEvidence] = []
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results: list[MathReaderRefusalEvidence] = []
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for row in audit_rows:
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if row.missing_operator is None:
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continue
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sub_type = SUB_TYPE_FOR_OPERATOR[row.missing_operator]
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out.append(from_audit_row(row, sub_type, claim_signature=""))
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return tuple(out)
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sub_type = SUB_TYPE_FOR_OPERATOR.get(row.missing_operator)
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if sub_type is None:
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continue
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if sub_type == "lexical":
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sig = lexical_claim_signature(
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surface=row.token_text,
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refusal_detail=row.refusal_detail,
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)
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else:
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sig = ""
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evidence = from_audit_row(row, sub_type, claim_signature=sig)
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results.append(evidence)
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return tuple(results)
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def audit_problem_to_evidence(
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@ -39,9 +75,30 @@ def audit_problem_to_evidence(
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*,
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case_id: str,
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) -> tuple[MathReaderRefusalEvidence, ...]:
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"""Run reader audit on ``problem_text`` and return mapped evidence rows."""
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"""Run the reader over *problem_text* and return evidence records.
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Convenience wrapper that calls :func:`audit_problem` and pipes the
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resulting :class:`AuditRow` list through :func:`audit_to_evidence`.
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Useful for tests and downstream pipeline work (W3-A).
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Parameters
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----------
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problem_text:
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Raw GSM8K-style problem string.
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case_id:
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Identifier attached to every :class:`AuditRow` (e.g. ``"probe"``).
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Returns
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-------
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tuple[MathReaderRefusalEvidence, ...]
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Evidence records for any refusals encountered. Empty tuple on full
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admission or if the text produced no sentences.
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"""
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_result, rows = audit_problem(problem_text, case_id=case_id)
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return audit_to_evidence(rows)
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__all__ = ["audit_problem_to_evidence", "audit_to_evidence"]
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__all__ = [
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"audit_to_evidence",
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"audit_problem_to_evidence",
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]
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256
tests/test_math_claim_signature.py
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256
tests/test_math_claim_signature.py
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"""Tests for ADR-0167 W2-B: lexical claim signature normalisation.
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Verifies:
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- Determinism (same input → same hex)
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- Punctuation stripping
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- Case insensitivity
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- Format invariant (64-char lowercase hex)
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- Fallback when refusal_detail doesn't match the canonical regex
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- Real-data sanity: no false collisions on audit_brief_11.json
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- Real-data dedup: duplicate tokens collapse to one signature
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- Non-lexical evidence pins the W2-A invariant (claim_signature stays "")
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"""
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from __future__ import annotations
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import hashlib
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import json
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from pathlib import Path
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import pytest
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from teaching.math_claim_signature import lexical_claim_signature
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from teaching.math_contemplation import audit_to_evidence
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from teaching.math_evidence import SUB_TYPE_FOR_OPERATOR
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# ---------------------------------------------------------------------------
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# Fixture: load audit_brief_11.json once
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# ---------------------------------------------------------------------------
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_ARTIFACT_PATH = (
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Path(__file__).parent.parent
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/ "evals/gsm8k_math/train_sample/v1/audit_brief_11.json"
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)
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_LEXICAL_OPS: frozenset[str] = frozenset(
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op
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for op, sub in SUB_TYPE_FOR_OPERATOR.items()
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if sub == "lexical"
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)
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@pytest.fixture(scope="module")
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def artifact() -> dict:
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return json.loads(_ARTIFACT_PATH.read_text(encoding="utf-8"))
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@pytest.fixture(scope="module")
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def lexical_cases(artifact) -> list[dict]:
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return [
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c
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for c in artifact["per_case"]
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if c.get("missing_operator") in _LEXICAL_OPS
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]
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# ---------------------------------------------------------------------------
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# Core invariant tests
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# ---------------------------------------------------------------------------
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def test_identical_surface_identical_signature():
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sig1 = lexical_claim_signature(
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surface="crayons",
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refusal_detail="no primitive or lexicon match for 'crayons'",
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)
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sig2 = lexical_claim_signature(
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surface="crayons",
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refusal_detail="no primitive or lexicon match for 'crayons'",
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)
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assert sig1 == sig2
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def test_different_surface_different_signature():
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sig_a = lexical_claim_signature(
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surface="crayons",
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refusal_detail="no primitive or lexicon match for 'crayons'",
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)
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sig_b = lexical_claim_signature(
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surface="oysters",
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refusal_detail="no primitive or lexicon match for 'oysters'",
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)
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assert sig_a != sig_b
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def test_punctuation_strip():
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"""crayons, crayons. and crayons should all collapse to the same signature."""
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base_detail = "no primitive or lexicon match for 'crayons'"
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sig_plain = lexical_claim_signature(surface="crayons", refusal_detail=base_detail)
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sig_comma = lexical_claim_signature(surface="crayons,", refusal_detail=base_detail)
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sig_period = lexical_claim_signature(surface="crayons.", refusal_detail=base_detail)
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# Note: when refusal_detail matches the regex, the extracted token wins
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# (which is always un-punctuated). All three should produce the same sig.
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assert sig_plain == sig_comma == sig_period
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def test_case_insensitive():
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detail = "no primitive or lexicon match for 'crayons'"
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sig_lower = lexical_claim_signature(surface="crayons", refusal_detail=detail)
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sig_upper = lexical_claim_signature(surface="Crayons", refusal_detail=detail)
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assert sig_lower == sig_upper
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def test_signature_is_64_char_lowercase_hex():
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sig = lexical_claim_signature(
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surface="widgets",
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refusal_detail="no primitive or lexicon match for 'widgets'",
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)
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assert len(sig) == 64
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assert sig == sig.lower()
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assert all(c in "0123456789abcdef" for c in sig)
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def test_extraction_falls_back_to_surface():
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"""When refusal_detail doesn't match the regex, surface is used verbatim."""
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sig_fallback = lexical_claim_signature(
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surface="10%",
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refusal_detail="fraction/percentage literal at position 7 is out-of-scope (eval only)",
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)
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# Manually compute expected: strip punctuation from "10%", lowercase → "10"
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# Wait — "%" is in string.punctuation, so strip yields "10"
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# canonical = "lexical:10"
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expected = hashlib.sha256("lexical:10".encode("utf-8")).hexdigest()
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assert sig_fallback == expected
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def test_extraction_fallback_is_still_deterministic():
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sig1 = lexical_claim_signature(
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surface="1/4",
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refusal_detail="fraction/percentage literal at position 11 is out-of-scope (eval only)",
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)
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sig2 = lexical_claim_signature(
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surface="1/4",
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refusal_detail="fraction/percentage literal at position 11 is out-of-scope (eval only)",
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)
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assert sig1 == sig2
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# ---------------------------------------------------------------------------
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# Real-data tests
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# ---------------------------------------------------------------------------
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def test_real_data_no_false_collisions(lexical_cases):
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"""Distinct token surfaces must produce distinct signatures."""
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# Build {token_text → signature} using the canonical regex path where applicable
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token_to_sig: dict[str, str] = {}
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for case in lexical_cases:
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token = case["token_text"]
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sig = lexical_claim_signature(
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surface=token,
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refusal_detail=case.get("refusal_detail", ""),
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)
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if token in token_to_sig:
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assert token_to_sig[token] == sig, (
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f"Same token '{token}' produced different signatures"
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)
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else:
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token_to_sig[token] = sig
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# All distinct tokens should map to distinct signatures
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sigs = list(token_to_sig.values())
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assert len(sigs) == len(set(sigs)), (
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"False collision: distinct tokens collapsed to same signature"
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)
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def test_real_data_collapses_duplicates(lexical_cases):
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"""Two cases with the same extracted token collapse to one signature.
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In audit_brief_11.json each token is unique, so we simulate by taking
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a single token and verifying two invocations with different case context
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produce the same signature (dedup works across case boundaries).
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"""
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# Pick the first lexical case and duplicate it with a different "caller"
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case = lexical_cases[0]
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sig_a = lexical_claim_signature(
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surface=case["token_text"],
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refusal_detail=case.get("refusal_detail", ""),
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)
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sig_b = lexical_claim_signature(
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surface=case["token_text"],
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refusal_detail=case.get("refusal_detail", ""),
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)
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assert sig_a == sig_b, "Same token should collapse to the same signature"
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# ---------------------------------------------------------------------------
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# W2-A invariant pin: non-lexical evidence has empty claim_signature
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# ---------------------------------------------------------------------------
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def test_non_lexical_evidence_has_empty_signature(artifact):
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"""audit_to_evidence must leave claim_signature == '' for non-lexical rows."""
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from generate.comprehension.audit import AuditRow
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non_lexical_cases = [
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c
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for c in artifact["per_case"]
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if c.get("missing_operator") is not None
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and c.get("missing_operator") not in _LEXICAL_OPS
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]
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assert non_lexical_cases, "Expected at least one non-lexical case in artifact"
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# Build AuditRow instances for non-lexical cases
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rows = [
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AuditRow(
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case_id=c["case_id"],
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sentence_index=c["sentence_index"],
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token_index=c.get("token_index", 0),
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token_text=c.get("token_text", ""),
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recognized_terms=tuple(c.get("recognized_terms", [])),
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skipped_frame=c.get("skipped_frame"),
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missing_operator=c["missing_operator"],
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refusal_reason=c["refusal_reason"],
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refusal_detail=c.get("refusal_detail", ""),
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)
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for c in non_lexical_cases
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]
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evidence_records = audit_to_evidence(rows)
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for ev in evidence_records:
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assert ev.claim_signature == "", (
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f"Non-lexical sub_type '{ev.sub_type}' should have empty claim_signature, "
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f"got {ev.claim_signature!r}"
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)
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# ---------------------------------------------------------------------------
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# Lexical evidence in contemplation gets non-empty signature
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# ---------------------------------------------------------------------------
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def test_lexical_evidence_gets_non_empty_signature(lexical_cases):
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"""audit_to_evidence fills claim_signature for lexical rows."""
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from generate.comprehension.audit import AuditRow
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rows = [
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AuditRow(
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case_id=c["case_id"],
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sentence_index=c["sentence_index"],
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token_index=c.get("token_index", 0),
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token_text=c.get("token_text", ""),
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recognized_terms=tuple(c.get("recognized_terms", [])),
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skipped_frame=c.get("skipped_frame"),
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missing_operator=c["missing_operator"],
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refusal_reason=c["refusal_reason"],
|
||||
refusal_detail=c.get("refusal_detail", ""),
|
||||
)
|
||||
for c in lexical_cases
|
||||
]
|
||||
evidence_records = audit_to_evidence(rows)
|
||||
assert evidence_records, "Expected at least one lexical evidence record"
|
||||
for ev in evidence_records:
|
||||
assert ev.sub_type == "lexical"
|
||||
assert ev.claim_signature != "", (
|
||||
f"Lexical evidence for case {ev.case_id} must have non-empty claim_signature"
|
||||
)
|
||||
assert len(ev.claim_signature) == 64
|
||||
Loading…
Reference in a new issue