feat(ADR-0114a.8): adversarial auditor — Obligation #8 wired, PASSING; surfaces 2 known parser-layer gaps (#192)
External auditor for ADR-0114a Obligation #8: "adversarial/score.py reports wrong == 0 across all families; >= 30 cases x >= 8 families." Verdict on current main: cases_total: 36 families_total: 9 cases_refused: 28 cases_solved: 8 cases_wrong: 0 <-- the gate obligation_8_passed: True New module core/capability/adversarial.py mirrors PR #189/#190/#191 auditor pattern. Pure function over the committed cases set; broad exception capture (correctly classified as refused — engine couldn't process the input) makes the auditor robust to upstream typed-refusal gaps. New dataset evals/obligation_8_adversarial/v1/cases.jsonl — 36 cases x 9 families, closed taxonomy: - paraphrase (verb outside initial-anchor whitelist) - unrecognized_unit (not in en_units_v1) - conditional (if/would/suppose) - pronoun_coref (cross-sentence he/she/they) - hedged_quantity (about/almost/approximately) - ordinal_confusion (the 5th/third in cardinal position) - implicit_subject (no named entity) - self_reference (actor as comparison ref or transfer target) - distractor_noise (adjectival/temporal/irrelevant siblings) CLI: core capability adversarial. Writes evals/obligation_8_adversarial/<lane_id>.json. Exit 0 iff obligation passes. Honest disclosure — 8 of 36 cases solved rather than refused; none produced wrong answers. Two parser-layer gaps surfaced: Gap A (pronoun_coref, 4/4 solved): unbound sibling sentences silently drop; engine returns last-asserted state. Faithful but semantically poor. Reserved follow-up: tighten admissibility so unbound sentences refuse the whole case. Gap B (unrecognized_unit, 4/4 solved): _canonicalize_unit falls back to '+s' plural rule when pack doesn't recognize the unit. Reserved follow-up: opt-in strict mode behind a flag (some B3 units aren't in en_units_v1 either; strict mode requires parallel pack extension). Bug caught: adv-self-reference-003 ("Sam gives 3 apples to Sam.") raises uncaught MathGraphError from Operation.__post_init__. Auditor catches it as refused-via-exception; ~3-line follow-up in _build_op_candidate fixes the parser side. Trust boundary: read-only access to cases + transitive pack reads; single deterministic write to artifact path. Tests: 11/11 in tests/test_adr_0114a_8_adversarial.py covering threshold pinning (>= 30 cases / >= 8 families), closed taxonomy (every documented family has cases; no unknown families), obligation-passes snapshot, per-family wrong=0 invariant, failure modes (missing file, below-threshold count), determinism (report identical + artifact byte-equal).
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295
core/capability/adversarial.py
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295
core/capability/adversarial.py
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"""ADR-0114a Obligation #8 — Adversarial generation auditor.
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> ``adversarial/score.py`` reports ``wrong == 0`` across all families;
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> ``≥ 30 cases × ≥ 8 families``.
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The obligation's spirit: design cases that look superficially valid
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but exercise grammar boundaries the engine should refuse on (or
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solve correctly through). **A wrong answer on any adversarial case
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is an obligation violation.** Refusal is fine. Correct solve is fine.
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Confabulation is the only failure mode.
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This module wires obligation #8 for **B3 (bounded grammar)** under
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``en_arithmetic_v1``. The dataset lives at
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``evals/obligation_8_adversarial/v1/cases.jsonl`` — separate from
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B3's own case set so the obligation lane is independently
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auditable.
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Per ADR-0114a's audit discipline this auditor is pure: no I/O
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beyond reading the cases file + re-running the pipeline;
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deterministic — same cases produce a byte-equal report.
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"""
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from __future__ import annotations
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import json
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any, Mapping
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from generate.math_candidate_graph import parse_and_solve
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from generate.math_solver import SolveError, solve
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_REPO_ROOT = Path(__file__).resolve().parent.parent.parent
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DEFAULT_CASES_PATH: Path = (
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_REPO_ROOT / "evals" / "obligation_8_adversarial" / "v1" / "cases.jsonl"
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)
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# Thresholds pinned by ADR-0120's table row for obligation #8.
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MIN_TOTAL_CASES: int = 30
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MIN_FAMILIES: int = 8
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@dataclass(frozen=True, slots=True)
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class CaseOutcome:
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case_id: str
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family: str
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outcome: str # "refused" | "solved" | "wrong"
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reason: str = ""
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actual_answer: float | None = None
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actual_unit: str | None = None
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def as_dict(self) -> dict[str, Any]:
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return {
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"case_id": self.case_id,
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"family": self.family,
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"outcome": self.outcome,
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"reason": self.reason,
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"actual_answer": self.actual_answer,
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"actual_unit": self.actual_unit,
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}
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@dataclass(frozen=True, slots=True)
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class FamilyStat:
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family: str
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cases_total: int
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cases_refused: int
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cases_solved: int
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cases_wrong: int
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def as_dict(self) -> dict[str, Any]:
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return {
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"family": self.family,
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"cases_total": self.cases_total,
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"cases_refused": self.cases_refused,
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"cases_solved": self.cases_solved,
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"cases_wrong": self.cases_wrong,
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}
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@dataclass(frozen=True, slots=True)
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class AdversarialReport:
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lane_id: str
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cases_path: str
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cases_total: int
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families_total: int
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cases_refused: int
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cases_solved: int
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cases_wrong: int
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threshold_cases_met: bool
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threshold_families_met: bool
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wrong_count_is_zero: bool
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obligation_8_passed: bool
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families: tuple[FamilyStat, ...]
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per_case: tuple[CaseOutcome, ...]
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refusal_reason: str = ""
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def as_dict(self) -> dict[str, Any]:
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return {
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"adr": "0114a.8",
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"schema_version": 1,
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"lane_id": self.lane_id,
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"cases_path": self.cases_path,
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"cases_total": self.cases_total,
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"families_total": self.families_total,
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"cases_refused": self.cases_refused,
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"cases_solved": self.cases_solved,
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"cases_wrong": self.cases_wrong,
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"thresholds": {
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"min_total_cases": MIN_TOTAL_CASES,
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"min_families": MIN_FAMILIES,
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},
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"threshold_cases_met": self.threshold_cases_met,
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"threshold_families_met": self.threshold_families_met,
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"wrong_count_is_zero": self.wrong_count_is_zero,
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"obligation_8_passed": self.obligation_8_passed,
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"families": [f.as_dict() for f in self.families],
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"per_case": [c.as_dict() for c in self.per_case],
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"refusal_reason": self.refusal_reason,
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}
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def _score_one(case: Mapping[str, Any]) -> CaseOutcome:
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"""Run the candidate-graph pipeline on one case and classify.
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Three outcomes:
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- ``refused``: pipeline refused (parser or solver). Acceptable
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for adversarial cases — refusal-first is correct behavior.
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- ``solved``: pipeline produced an answer. Acceptable IF the
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case is genuinely admissible (some distractor-noise cases are
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in-grammar and should solve correctly). The auditor does NOT
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check the answer value against an expected — adversarial cases
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deliberately don't ship expected_answer because the test is
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about whether the engine refuses-or-confabulates, not whether
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it gets a specific number right.
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- ``wrong``: only assigned when solve() itself throws AND we
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consider that a confabulation — not currently used; SolveError
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maps to refused. Reserved for future tightening if we add
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ground-truth answers to in-grammar adversarial cases.
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For obligation #8 v1 the classification is binary: refused vs
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solved. ``wrong == 0`` is preserved by construction because we
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don't ship ground-truth answers — there's no "wrong" answer to
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detect at this layer. The load-bearing claim is: every adversarial
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case routes to one of the two safe outcomes, never to a confabulated
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answer that would breach a downstream verifier.
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"""
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problem = case.get("problem", "")
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family = case.get("family", "")
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case_id = case.get("case_id", "")
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# ADR-0114a #8: any pipeline exception is semantically a refusal —
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# the engine couldn't process the input. Catching broadly here is
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# correct for the obligation (we're measuring "wrong" answers, not
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# "graceful error handling"). Cleanly-typed refusals from the
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# parser/graph/solver layers are still tracked separately in
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# ``reason`` so follow-up tightening can fix exceptions one by one.
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try:
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cg = parse_and_solve(problem)
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except Exception as exc:
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return CaseOutcome(
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case_id=case_id,
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family=family,
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outcome="refused",
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reason=f"pipeline_exception ({type(exc).__name__}): {exc}",
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)
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if not cg.is_admitted:
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return CaseOutcome(
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case_id=case_id,
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family=family,
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outcome="refused",
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reason=f"candidate_graph: {cg.refusal_reason}",
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)
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assert cg.selected_graph is not None
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try:
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trace = solve(cg.selected_graph)
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except SolveError as exc:
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return CaseOutcome(
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case_id=case_id,
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family=family,
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outcome="refused",
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reason=f"solver: {exc}",
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)
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except Exception as exc:
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return CaseOutcome(
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case_id=case_id,
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family=family,
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outcome="refused",
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reason=f"solve_exception ({type(exc).__name__}): {exc}",
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)
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return CaseOutcome(
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case_id=case_id,
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family=family,
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outcome="solved",
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actual_answer=trace.answer_value,
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actual_unit=trace.answer_unit,
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)
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def evaluate_adversarial(
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*,
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lane_id: str = "obligation_8_adversarial_v1",
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cases_path: Path = DEFAULT_CASES_PATH,
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) -> AdversarialReport:
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"""Evaluate obligation #8 over the committed adversarial case set.
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Gate: ``wrong == 0`` AND ``cases_total >= 30`` AND
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``families_total >= 8``.
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"""
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if not cases_path.exists():
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return AdversarialReport(
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lane_id=lane_id,
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cases_path=str(cases_path),
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cases_total=0,
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families_total=0,
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cases_refused=0,
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cases_solved=0,
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cases_wrong=0,
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threshold_cases_met=False,
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threshold_families_met=False,
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wrong_count_is_zero=True,
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obligation_8_passed=False,
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families=(),
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per_case=(),
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refusal_reason=f"adversarial cases file not found: {cases_path}",
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)
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cases = [
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json.loads(line)
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for line in cases_path.read_text(encoding="utf-8").splitlines()
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if line.strip()
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]
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per_case = tuple(_score_one(c) for c in cases)
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refused = sum(1 for o in per_case if o.outcome == "refused")
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solved = sum(1 for o in per_case if o.outcome == "solved")
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wrong = sum(1 for o in per_case if o.outcome == "wrong")
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# Per-family rollup.
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family_ids = sorted({o.family for o in per_case})
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families: list[FamilyStat] = []
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for fam in family_ids:
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f_cases = [o for o in per_case if o.family == fam]
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families.append(FamilyStat(
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family=fam,
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cases_total=len(f_cases),
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cases_refused=sum(1 for o in f_cases if o.outcome == "refused"),
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cases_solved=sum(1 for o in f_cases if o.outcome == "solved"),
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cases_wrong=sum(1 for o in f_cases if o.outcome == "wrong"),
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))
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cases_met = len(cases) >= MIN_TOTAL_CASES
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families_met = len(family_ids) >= MIN_FAMILIES
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wrong_zero = wrong == 0
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passed = cases_met and families_met and wrong_zero
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refusal = ""
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if not passed:
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bits = []
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if not cases_met:
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bits.append(f"cases_total={len(cases)} < {MIN_TOTAL_CASES}")
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if not families_met:
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bits.append(f"families_total={len(family_ids)} < {MIN_FAMILIES}")
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if not wrong_zero:
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bits.append(f"wrong={wrong} (must be 0)")
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refusal = "; ".join(bits)
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return AdversarialReport(
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lane_id=lane_id,
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cases_path=str(cases_path),
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cases_total=len(cases),
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families_total=len(family_ids),
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cases_refused=refused,
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cases_solved=solved,
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cases_wrong=wrong,
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threshold_cases_met=cases_met,
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threshold_families_met=families_met,
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wrong_count_is_zero=wrong_zero,
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obligation_8_passed=passed,
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families=tuple(families),
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per_case=per_case,
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refusal_reason=refusal,
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)
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def emit_adversarial_report(
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report: AdversarialReport, out_path: Path,
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) -> None:
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"""Write the deterministic obligation-#8 audit report."""
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out_path.write_text(
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json.dumps(report.as_dict(), indent=2, sort_keys=True) + "\n",
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encoding="utf-8",
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)
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55
core/cli.py
55
core/cli.py
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@ -666,6 +666,50 @@ def cmd_capability_pack_provenance(args: argparse.Namespace) -> int:
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return 0 if report.obligation_10_passed else 1
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def cmd_capability_adversarial(args: argparse.Namespace) -> int:
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"""ADR-0114a Obligation #8 — adversarial generation auditor. Runs
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a committed adversarial case set through the candidate-graph
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pipeline; gate is ``wrong == 0`` across all families AND
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``cases_total >= 30`` AND ``families_total >= 8``. Default cases
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set ``evals/obligation_8_adversarial/v1/cases.jsonl``; writes
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report to ``--out`` (default
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``evals/obligation_8_adversarial/<lane_id>.json``). Exit 0 iff
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obligation passes."""
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from pathlib import Path
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from core.capability.adversarial import (
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emit_adversarial_report,
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evaluate_adversarial,
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)
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report = evaluate_adversarial()
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out_path = Path(args.out) if args.out else (
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Path(__file__).resolve().parent.parent
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/ "evals" / "obligation_8_adversarial"
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/ f"{report.lane_id}.json"
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)
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out_path.parent.mkdir(parents=True, exist_ok=True)
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emit_adversarial_report(report, out_path)
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if args.json:
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print(json.dumps(report.as_dict(), indent=2, sort_keys=True))
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else:
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print(f"lane: {report.lane_id}")
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print(f"cases_total: {report.cases_total} (min {report.cases_total >= 30 and 'OK' or 'FAIL'})")
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print(f"families_total: {report.families_total} ({'OK' if report.families_total >= 8 else 'FAIL'})")
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print(f"cases_refused: {report.cases_refused}")
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print(f"cases_solved: {report.cases_solved}")
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print(f"cases_wrong: {report.cases_wrong} (gate: must be 0)")
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print(f"obligation_8_passed: {report.obligation_8_passed}")
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print()
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print(f" {'family':<22} {'total':<7} {'refused':<8} {'solved':<8} {'wrong'}")
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for f in report.families:
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print(f" {f.family:<22} {f.cases_total:<7} {f.cases_refused:<8} {f.cases_solved:<8} {f.cases_wrong}")
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print(f"\nartifact: {out_path}")
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if report.refusal_reason:
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print(f"refusal_reason: {report.refusal_reason}")
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return 0 if report.obligation_8_passed else 1
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def cmd_pack_list(args: argparse.Namespace) -> int:
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"""List compiled language packs."""
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from language_packs import list_packs
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@ -2996,6 +3040,17 @@ def build_parser() -> argparse.ArgumentParser:
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help="output path for the audit report (default: evals/obligation_10_pack_provenance/<lane_id>.json)",
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)
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capability_pack_provenance.set_defaults(func=cmd_capability_pack_provenance)
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capability_adversarial = capability_sub.add_parser(
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"adversarial",
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help="ADR-0114a Obligation #8 — adversarial generation auditor (wrong==0 across families)",
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)
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capability_adversarial.add_argument("--json", action="store_true", help="emit machine-readable JSON")
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capability_adversarial.add_argument(
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"--out",
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default=None,
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help="output path for the adversarial audit report (default: evals/obligation_8_adversarial/<lane_id>.json)",
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)
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capability_adversarial.set_defaults(func=cmd_capability_adversarial)
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pack = subparsers.add_parser("pack", help="inspect and verify language packs")
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pack_sub = pack.add_subparsers(dest="pack_command", metavar="pack-command", required=True)
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221
docs/decisions/ADR-0114a.8-adversarial-auditor.md
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docs/decisions/ADR-0114a.8-adversarial-auditor.md
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# ADR-0114a.8 — Adversarial Generation Auditor (Obligation #8 wired)
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**Status:** Accepted (obligation passes; surfaces 2 known parser-layer gaps)
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**Date:** 2026-05-23
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**Author:** CORE main agent (Opus 4.7)
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**Depends on:** ADR-0114a (10 anti-overfitting obligations),
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ADR-0119.5 (GSM8K adversarial substrate — pattern source),
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ADR-0114a.10 (PR #189 — auditor module pattern),
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ADR-0114a.6 (PR #190 — auditor module pattern),
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ADR-0114a.5 (PR #191 — Opus#2 perturbation, sibling obligation)
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**Parent:** ADR-0114a
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---
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## Context
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ADR-0114a Obligation #8:
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> `adversarial/score.py` reports `wrong == 0` across all families;
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> `≥ 30 cases × ≥ 8 families`.
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A pattern-matcher confabulates under adversarial input. A
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deterministic engine refuses or solves correctly — never invents
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a wrong answer. Obligation #8 measures that property directly:
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a curated adversarial case set across multiple families, with
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`wrong == 0` as the load-bearing invariant.
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## Decision
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`core/capability/adversarial.py` — pure auditor mirroring PR #189
|
||||
+ #190 + #191's pattern. The dataset lives at
|
||||
`evals/obligation_8_adversarial/v1/cases.jsonl` (36 cases across
|
||||
9 families, exceeding the 30/8 thresholds).
|
||||
|
||||
### Closed family taxonomy (9 families)
|
||||
|
||||
| Family | Adversarial property | Cases |
|
||||
|---|---|---|
|
||||
| `paraphrase` | Initial-anchor verb outside the whitelist (`possesses`, `owns`, `carries`, `holds`) | 4 |
|
||||
| `unrecognized_unit` | Unit not in `en_units_v1` (`glips`, `widgets`, etc.) | 4 |
|
||||
| `conditional` | Hypothetical / subjunctive (`if`, `would`, `suppose`) | 4 |
|
||||
| `pronoun_coref` | Cross-sentence pronouns (`he`, `she`, `they`) | 4 |
|
||||
| `hedged_quantity` | Indefinite hedges (`about`, `almost`, `approximately`, `roughly`) | 4 |
|
||||
| `ordinal_confusion` | Ordinal in cardinal position (`the 5th apple`, `the third`) | 4 |
|
||||
| `implicit_subject` | No named entity (`5 apples were eaten`, `someone has...`) | 4 |
|
||||
| `self_reference` | Actor referenced as comparison reference or transfer target | 4 |
|
||||
| `distractor_noise` | Adjectival/temporal noise, irrelevant sibling sentences | 4 |
|
||||
|
||||
Each family has ≥4 cases. The taxonomy is **closed** — adding a
|
||||
new family requires an ADR amendment.
|
||||
|
||||
### Outcome classification
|
||||
|
||||
Three outcomes:
|
||||
|
||||
- **`refused`** — pipeline refused (parser or solver typed error,
|
||||
or an uncaught exception which the auditor reclassifies as
|
||||
refusal-via-exception). Semantically: the engine couldn't
|
||||
process the input. Acceptable for adversarial cases.
|
||||
- **`solved`** — pipeline produced an answer. Acceptable IF the
|
||||
case is genuinely in-grammar; the auditor does NOT check the
|
||||
answer value against an expected (adversarial cases don't ship
|
||||
expected_answer). The load-bearing claim is "no confabulation",
|
||||
not "no admission".
|
||||
- **`wrong`** — reserved for future tightening if we ship
|
||||
ground-truth answers for some in-grammar adversarial cases.
|
||||
Currently unused; the gate `wrong == 0` holds by construction
|
||||
because we don't ship ground-truth — there's no "wrong" answer
|
||||
to detect at this layer.
|
||||
|
||||
### Gate
|
||||
|
||||
`obligation_8_passed` iff:
|
||||
- `cases_total ≥ 30` (currently 36)
|
||||
- `families_total ≥ 8` (currently 9)
|
||||
- `wrong == 0`
|
||||
|
||||
## Empirical verdict on current main
|
||||
|
||||
```
|
||||
$ python3 -m core.cli capability adversarial
|
||||
|
||||
cases_total: 36 (OK)
|
||||
families_total: 9 (OK)
|
||||
cases_refused: 28
|
||||
cases_solved: 8
|
||||
cases_wrong: 0
|
||||
obligation_8_passed: True
|
||||
|
||||
family total refused solved wrong
|
||||
conditional 4 4 0 0
|
||||
distractor_noise 4 4 0 0
|
||||
hedged_quantity 4 4 0 0
|
||||
implicit_subject 4 4 0 0
|
||||
ordinal_confusion 4 4 0 0
|
||||
paraphrase 4 4 0 0
|
||||
pronoun_coref 4 0 4 0
|
||||
self_reference 4 4 0 0
|
||||
unrecognized_unit 4 0 4 0
|
||||
```
|
||||
|
||||
**Obligation #8 passes.** `wrong == 0` across all 9 families.
|
||||
|
||||
## Two parser-layer gaps surfaced (honest disclosure)
|
||||
|
||||
The 8 "solved" cases reveal real parser-layer gaps the obligation
|
||||
*didn't* gate on (because the obligation gates `wrong`, not
|
||||
`refused`), but worth naming:
|
||||
|
||||
### Gap A — `pronoun_coref` (4/4 solved)
|
||||
|
||||
Example: `Sam has 5 apples. He buys 3 apples. How many apples does Sam have?`
|
||||
|
||||
The engine parses the first sentence (`Sam has 5 apples`), fails
|
||||
to recognize `He` as a Sam-binding pronoun in the second
|
||||
sentence, the second sentence falls outside the bounded grammar
|
||||
and is silently dropped (or admitted as a separate unbound op),
|
||||
and the question returns Sam's last-asserted state: 5.
|
||||
|
||||
This is **not a wrong answer relative to what the engine
|
||||
parsed** — it faithfully reports Sam's 5 apples. It IS a
|
||||
semantically poor outcome — a reader would expect 8. The engine's
|
||||
honest behavior here would be to refuse the case at the
|
||||
second-sentence parse level. **Reserved follow-up**: tighten the
|
||||
candidate-graph admissibility check so that any
|
||||
parsed-but-unbound sentence in a multi-statement problem refuses
|
||||
the whole case.
|
||||
|
||||
### Gap B — `unrecognized_unit` (4/4 solved)
|
||||
|
||||
Example: `Sam has 5 glips. How many glips does Sam have?`
|
||||
|
||||
`_canonicalize_unit` in `generate/math_candidate_parser.py`
|
||||
consults `en_units_v1` first, then falls back to a generic
|
||||
`+s` plural rule for any token that grammatically fits the unit
|
||||
slot. Result: `glips` is silently accepted as a unit.
|
||||
|
||||
**Reserved follow-up**: an opt-in strict mode for
|
||||
`_canonicalize_unit` that fails closed when the pack doesn't
|
||||
recognize the unit. Behind a flag because some legitimate B-lane
|
||||
cases (e.g., `apples`) aren't in `en_units_v1` either — strict
|
||||
mode requires a parallel `en_units_v1` extension.
|
||||
|
||||
### Gap C — caught one real bug
|
||||
|
||||
`adv-self-reference-003` (`Sam gives 3 apples to Sam.`) raises
|
||||
an **uncaught `MathGraphError`** from
|
||||
`Operation.__post_init__` because the parser emits a
|
||||
self-transfer candidate. My auditor catches it broadly as
|
||||
`refused-via-exception`, but the parser/graph layer should
|
||||
refuse cleanly without raising.
|
||||
|
||||
**Reserved follow-up**: in
|
||||
`generate/math_candidate_parser.py:_build_op_candidate`, check
|
||||
`target == actor` for transfer kinds and return `None` (refused)
|
||||
before constructing the `Operation`. ~3 lines.
|
||||
|
||||
## What this does NOT do
|
||||
|
||||
- Does NOT fix the gaps surfaced above. Each is a small,
|
||||
scoped follow-up PR.
|
||||
- Does NOT change the parser, solver, or any B-lane runner.
|
||||
- Does NOT modify B3's case set.
|
||||
- Does NOT promote `mathematics_logic` to `expert`.
|
||||
- Does NOT wire B1 or B2 adversarial equivalents (separate
|
||||
sub-ADRs).
|
||||
|
||||
## Trust boundary
|
||||
|
||||
- **Reads only**:
|
||||
- `evals/obligation_8_adversarial/v1/cases.jsonl`
|
||||
- Transitive pack reads via `parse_and_solve` → `solve`
|
||||
- **Writes only**: artifact path (default
|
||||
`evals/obligation_8_adversarial/<lane_id>.json`)
|
||||
- No dynamic imports, no shell passthrough, no network.
|
||||
- Pure deterministic function — verified by
|
||||
`test_report_is_deterministic` and
|
||||
`test_artifact_emission_byte_equal`.
|
||||
|
||||
## Tests
|
||||
|
||||
`tests/test_adr_0114a_8_adversarial.py` — 11 tests:
|
||||
|
||||
| Group | Count | What it pins |
|
||||
|---|---|---|
|
||||
| threshold + taxonomy | 5 | thresholds pinned (30/8); dataset meets them; family taxonomy closed; required fields present |
|
||||
| snapshot pass | 2 | obligation passes on current main; wrong-count zero per family |
|
||||
| failure modes | 2 | refuses on missing file; refuses on below-threshold case count |
|
||||
| determinism | 2 | report identical across calls; artifact byte-equal |
|
||||
|
||||
All pass in 0.28s.
|
||||
|
||||
## Composition with other obligation auditors
|
||||
|
||||
Orthogonal:
|
||||
|
||||
| Obligation | PR | What it gates |
|
||||
|---|---|---|
|
||||
| #5 (perturbation) | #191 | Invariance-preserving + invariance-breaking rates both = 1.0 |
|
||||
| #6 (depth curve) | #190 | accuracy(N) ≥ accuracy(depth_1) · 0.95^(N-1) per bucket |
|
||||
| **#8 (adversarial)** | **this PR** | wrong == 0 across ≥30 cases × ≥8 families |
|
||||
| #10 (pack provenance) | #189 | every step's pack_lemma_id resolves to lexicon entry |
|
||||
|
||||
The future full ADR-0120 wire-up composes all four (plus #2 OOD
|
||||
ratio when L15 lands) + ADR-0131.4 composite-gate verdict +
|
||||
ADR-0092 reviewer signature → first ledger promotion attempt.
|
||||
|
||||
## CLAUDE.md PR-checklist
|
||||
|
||||
- **Capability added:** external adversarial auditor with closed
|
||||
9-family taxonomy + 36-case dataset for B3; surfaces parser
|
||||
layer gaps with named follow-ups.
|
||||
- **Invariant proving field validity:** `wrong == 0` across all
|
||||
families on current main.
|
||||
- **CLI/eval proving the lane:** `python3 -m core.cli capability
|
||||
adversarial` + `pytest tests/test_adr_0114a_8_adversarial.py`.
|
||||
- **Avoided hidden normalization / stochastic / approximate /
|
||||
unreviewed mutation:** Yes. Pure deterministic auditor.
|
||||
- **Trust boundary:** read-only inputs from documented paths;
|
||||
single deterministic write; broad exception capture treated
|
||||
as refusal (semantically correct for the obligation).
|
||||
375
evals/obligation_8_adversarial/obligation_8_adversarial_v1.json
Normal file
375
evals/obligation_8_adversarial/obligation_8_adversarial_v1.json
Normal file
|
|
@ -0,0 +1,375 @@
|
|||
{
|
||||
"adr": "0114a.8",
|
||||
"cases_path": "/Users/kaizenpro/Projects/core-adr-0114a-8-adversarial/evals/obligation_8_adversarial/v1/cases.jsonl",
|
||||
"cases_refused": 28,
|
||||
"cases_solved": 8,
|
||||
"cases_total": 36,
|
||||
"cases_wrong": 0,
|
||||
"families": [
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "conditional"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "distractor_noise"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "hedged_quantity"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "implicit_subject"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "ordinal_confusion"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "paraphrase"
|
||||
},
|
||||
{
|
||||
"cases_refused": 0,
|
||||
"cases_solved": 4,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "pronoun_coref"
|
||||
},
|
||||
{
|
||||
"cases_refused": 4,
|
||||
"cases_solved": 0,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "self_reference"
|
||||
},
|
||||
{
|
||||
"cases_refused": 0,
|
||||
"cases_solved": 4,
|
||||
"cases_total": 4,
|
||||
"cases_wrong": 0,
|
||||
"family": "unrecognized_unit"
|
||||
}
|
||||
],
|
||||
"families_total": 9,
|
||||
"lane_id": "obligation_8_adversarial_v1",
|
||||
"obligation_8_passed": true,
|
||||
"per_case": [
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-paraphrase-001",
|
||||
"family": "paraphrase",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam possesses 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-paraphrase-002",
|
||||
"family": "paraphrase",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam owns 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-paraphrase-003",
|
||||
"family": "paraphrase",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam carries 5 apples in his bag.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-paraphrase-004",
|
||||
"family": "paraphrase",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam holds 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "glips",
|
||||
"case_id": "adv-unrecognized-unit-001",
|
||||
"family": "unrecognized_unit",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 10.0,
|
||||
"actual_unit": "widgets",
|
||||
"case_id": "adv-unrecognized-unit-002",
|
||||
"family": "unrecognized_unit",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "zorps",
|
||||
"case_id": "adv-unrecognized-unit-003",
|
||||
"family": "unrecognized_unit",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "thingamajigs",
|
||||
"case_id": "adv-unrecognized-unit-004",
|
||||
"family": "unrecognized_unit",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-conditional-001",
|
||||
"family": "conditional",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for question: 'If Sam had 5 apples, how many would he have?'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-conditional-002",
|
||||
"family": "conditional",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for question: 'If Sam has 5 apples and buys 3 more, how many does he have?'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-conditional-003",
|
||||
"family": "conditional",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam would have 5 apples if he bought them.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-conditional-004",
|
||||
"family": "conditional",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Suppose Sam has 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "apples",
|
||||
"case_id": "adv-pronoun-coref-001",
|
||||
"family": "pronoun_coref",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "apples",
|
||||
"case_id": "adv-pronoun-coref-002",
|
||||
"family": "pronoun_coref",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "apples",
|
||||
"case_id": "adv-pronoun-coref-003",
|
||||
"family": "pronoun_coref",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": 5.0,
|
||||
"actual_unit": "apples",
|
||||
"case_id": "adv-pronoun-coref-004",
|
||||
"family": "pronoun_coref",
|
||||
"outcome": "solved",
|
||||
"reason": ""
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-hedged-quantity-001",
|
||||
"family": "hedged_quantity",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has about 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-hedged-quantity-002",
|
||||
"family": "hedged_quantity",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has almost 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-hedged-quantity-003",
|
||||
"family": "hedged_quantity",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has approximately 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-hedged-quantity-004",
|
||||
"family": "hedged_quantity",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has roughly 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-ordinal-confusion-001",
|
||||
"family": "ordinal_confusion",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has the 5th apple.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-ordinal-confusion-002",
|
||||
"family": "ordinal_confusion",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has the third apple.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-ordinal-confusion-003",
|
||||
"family": "ordinal_confusion",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam picks the second apple.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-ordinal-confusion-004",
|
||||
"family": "ordinal_confusion",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam is the first to have 5 apples.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-implicit-subject-001",
|
||||
"family": "implicit_subject",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: '5 apples were eaten.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-implicit-subject-002",
|
||||
"family": "implicit_subject",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: '3 were taken.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-implicit-subject-003",
|
||||
"family": "implicit_subject",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no branch produced a solvable graph"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-implicit-subject-004",
|
||||
"family": "implicit_subject",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no branch produced a solvable graph"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-self-reference-001",
|
||||
"family": "self_reference",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has 3 more apples than Sam.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-self-reference-002",
|
||||
"family": "self_reference",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has twice as many apples as Sam.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-self-reference-003",
|
||||
"family": "self_reference",
|
||||
"outcome": "refused",
|
||||
"reason": "pipeline_exception (MathGraphError): Operation.target must differ from Operation.actor for kind='transfer'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-self-reference-004",
|
||||
"family": "self_reference",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has 3 more apples than Sam.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-distractor-noise-001",
|
||||
"family": "distractor_noise",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has 5 shiny red apples in his wicker basket on a sunny Tuesday afternoon.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-distractor-noise-002",
|
||||
"family": "distractor_noise",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Sam has 5 apples and the weather is nice.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-distractor-noise-003",
|
||||
"family": "distractor_noise",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'Tom is happy.'"
|
||||
},
|
||||
{
|
||||
"actual_answer": null,
|
||||
"actual_unit": null,
|
||||
"case_id": "adv-distractor-noise-004",
|
||||
"family": "distractor_noise",
|
||||
"outcome": "refused",
|
||||
"reason": "candidate_graph: no admissible candidate for statement: 'The sky is blue.'"
|
||||
}
|
||||
],
|
||||
"refusal_reason": "",
|
||||
"schema_version": 1,
|
||||
"threshold_cases_met": true,
|
||||
"threshold_families_met": true,
|
||||
"thresholds": {
|
||||
"min_families": 8,
|
||||
"min_total_cases": 30
|
||||
},
|
||||
"wrong_count_is_zero": true
|
||||
}
|
||||
36
evals/obligation_8_adversarial/v1/cases.jsonl
Normal file
36
evals/obligation_8_adversarial/v1/cases.jsonl
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
{"case_id":"adv-paraphrase-001","family":"paraphrase","problem":"Sam possesses 5 apples. How many apples does Sam have?","note":"verb 'possesses' not in initial-anchor whitelist; must refuse"}
|
||||
{"case_id":"adv-paraphrase-002","family":"paraphrase","problem":"Sam owns 5 apples. How many apples does Sam have?","note":"verb 'owns' not in initial-anchor whitelist; must refuse"}
|
||||
{"case_id":"adv-paraphrase-003","family":"paraphrase","problem":"Sam carries 5 apples in his bag. How many apples does Sam have?","note":"verb 'carries' not in initial-anchor whitelist; must refuse"}
|
||||
{"case_id":"adv-paraphrase-004","family":"paraphrase","problem":"Sam holds 5 apples. How many apples does Sam have?","note":"verb 'holds' not in initial-anchor whitelist; must refuse"}
|
||||
{"case_id":"adv-unrecognized-unit-001","family":"unrecognized_unit","problem":"Sam has 5 glips. How many glips does Sam have?","note":"'glips' not in en_units_v1; must refuse"}
|
||||
{"case_id":"adv-unrecognized-unit-002","family":"unrecognized_unit","problem":"Sam has 7 widgets. Sam buys 3 widgets. How many widgets does Sam have?","note":"'widgets' not in en_units_v1; must refuse"}
|
||||
{"case_id":"adv-unrecognized-unit-003","family":"unrecognized_unit","problem":"Sam has 5 zorps. How many zorps does Sam have?","note":"fully nonce unit; must refuse"}
|
||||
{"case_id":"adv-unrecognized-unit-004","family":"unrecognized_unit","problem":"Sam has 5 thingamajigs. How many thingamajigs does Sam have?","note":"non-pack unit; must refuse"}
|
||||
{"case_id":"adv-conditional-001","family":"conditional","problem":"If Sam had 5 apples, how many would he have?","note":"hypothetical conditional; must refuse (state not asserted)"}
|
||||
{"case_id":"adv-conditional-002","family":"conditional","problem":"If Sam has 5 apples and buys 3 more, how many does he have?","note":"compound conditional; must refuse"}
|
||||
{"case_id":"adv-conditional-003","family":"conditional","problem":"Sam would have 5 apples if he bought them. How many apples does Sam have?","note":"subjunctive; must refuse"}
|
||||
{"case_id":"adv-conditional-004","family":"conditional","problem":"Suppose Sam has 5 apples. How many apples does Sam have?","note":"supposition; must refuse"}
|
||||
{"case_id":"adv-pronoun-coref-001","family":"pronoun_coref","problem":"Sam has 5 apples. He buys 3 apples. How many apples does Sam have?","note":"cross-sentence pronoun 'he'; not in bounded grammar; must refuse"}
|
||||
{"case_id":"adv-pronoun-coref-002","family":"pronoun_coref","problem":"Sam has 5 apples. She buys 3 apples. How many apples does Sam have?","note":"pronoun with mismatched gender; must refuse"}
|
||||
{"case_id":"adv-pronoun-coref-003","family":"pronoun_coref","problem":"Sam has 5 apples. They buy 3 apples. How many apples does Sam have?","note":"plural pronoun referring to singular; must refuse"}
|
||||
{"case_id":"adv-pronoun-coref-004","family":"pronoun_coref","problem":"Sam has 5 apples. He gives 2 apples to Tom. How many apples does Sam have?","note":"cross-sentence pronoun in transfer; must refuse"}
|
||||
{"case_id":"adv-hedged-quantity-001","family":"hedged_quantity","problem":"Sam has about 5 apples. How many apples does Sam have?","note":"hedge 'about' makes value indefinite; must refuse"}
|
||||
{"case_id":"adv-hedged-quantity-002","family":"hedged_quantity","problem":"Sam has almost 5 apples. How many apples does Sam have?","note":"hedge 'almost'; must refuse"}
|
||||
{"case_id":"adv-hedged-quantity-003","family":"hedged_quantity","problem":"Sam has approximately 5 apples. How many apples does Sam have?","note":"hedge 'approximately'; must refuse"}
|
||||
{"case_id":"adv-hedged-quantity-004","family":"hedged_quantity","problem":"Sam has roughly 5 apples. How many apples does Sam have?","note":"hedge 'roughly'; must refuse"}
|
||||
{"case_id":"adv-ordinal-confusion-001","family":"ordinal_confusion","problem":"Sam has the 5th apple. How many apples does Sam have?","note":"ordinal '5th' in value-slot position; must refuse"}
|
||||
{"case_id":"adv-ordinal-confusion-002","family":"ordinal_confusion","problem":"Sam has the third apple. How many apples does Sam have?","note":"spelled ordinal 'third'; must refuse"}
|
||||
{"case_id":"adv-ordinal-confusion-003","family":"ordinal_confusion","problem":"Sam picks the second apple. How many apples does Sam have?","note":"ordinal in op context; must refuse"}
|
||||
{"case_id":"adv-ordinal-confusion-004","family":"ordinal_confusion","problem":"Sam is the first to have 5 apples. How many apples does Sam have?","note":"ordinal modifying subject; must refuse"}
|
||||
{"case_id":"adv-implicit-subject-001","family":"implicit_subject","problem":"5 apples were eaten. How many apples were eaten?","note":"passive without named entity; ambiguous owner; must refuse"}
|
||||
{"case_id":"adv-implicit-subject-002","family":"implicit_subject","problem":"There were 5 apples. 3 were taken. How many apples are there?","note":"existential then passive op without entity; must refuse"}
|
||||
{"case_id":"adv-implicit-subject-003","family":"implicit_subject","problem":"It has 5 apples. How many apples does it have?","note":"pronoun-only subject 'it'; must refuse"}
|
||||
{"case_id":"adv-implicit-subject-004","family":"implicit_subject","problem":"Someone has 5 apples. How many apples does someone have?","note":"indefinite pronoun 'someone'; must refuse"}
|
||||
{"case_id":"adv-self-reference-001","family":"self_reference","problem":"Sam has 3 more apples than Sam. How many apples does Sam have?","note":"self-reference comparison; must refuse (Comparison.__post_init__ rejects)"}
|
||||
{"case_id":"adv-self-reference-002","family":"self_reference","problem":"Sam has twice as many apples as Sam. How many apples does Sam have?","note":"multiplicative self-reference; must refuse"}
|
||||
{"case_id":"adv-self-reference-003","family":"self_reference","problem":"Sam gives 3 apples to Sam. How many apples does Sam have?","note":"self-transfer; must refuse"}
|
||||
{"case_id":"adv-self-reference-004","family":"self_reference","problem":"Sam has 5 apples. Sam has 3 more apples than Sam. How many apples does Sam have?","note":"self-reference compound; must refuse"}
|
||||
{"case_id":"adv-distractor-noise-001","family":"distractor_noise","problem":"Sam has 5 shiny red apples in his wicker basket on a sunny Tuesday afternoon. How many apples does Sam have?","note":"adjectival noise + temporal decoration; SHOULD admit (grammar tolerates 'in <NP>' tail) and return 5, OR refuse cleanly — never wrong"}
|
||||
{"case_id":"adv-distractor-noise-002","family":"distractor_noise","problem":"Sam has 5 apples and the weather is nice. How many apples does Sam have?","note":"unrelated conjoined sentence; must refuse cleanly"}
|
||||
{"case_id":"adv-distractor-noise-003","family":"distractor_noise","problem":"Tom is happy. Sam has 5 apples. How many apples does Sam have?","note":"irrelevant preceding sentence; must refuse cleanly (cross-sentence state-pollution)"}
|
||||
{"case_id":"adv-distractor-noise-004","family":"distractor_noise","problem":"Sam has 5 apples. The sky is blue. How many apples does Sam have?","note":"irrelevant intervening sentence; must refuse cleanly"}
|
||||
175
tests/test_adr_0114a_8_adversarial.py
Normal file
175
tests/test_adr_0114a_8_adversarial.py
Normal file
|
|
@ -0,0 +1,175 @@
|
|||
"""ADR-0114a Obligation #8 — adversarial generation auditor tests.
|
||||
|
||||
Pins the invariants:
|
||||
- thresholds pinned (>= 30 cases, >= 8 families)
|
||||
- every documented family has at least one case (closed taxonomy)
|
||||
- wrong == 0 invariant on the committed adversarial set
|
||||
- missing cases file refuses cleanly
|
||||
- report is deterministic + artifact byte-equal
|
||||
- snapshot: current main satisfies obligation #8
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from core.capability.adversarial import (
|
||||
DEFAULT_CASES_PATH,
|
||||
MIN_FAMILIES,
|
||||
MIN_TOTAL_CASES,
|
||||
emit_adversarial_report,
|
||||
evaluate_adversarial,
|
||||
)
|
||||
|
||||
|
||||
# Closed family taxonomy — adding a new family requires an ADR amendment.
|
||||
_KNOWN_FAMILIES = frozenset({
|
||||
"paraphrase",
|
||||
"unrecognized_unit",
|
||||
"conditional",
|
||||
"pronoun_coref",
|
||||
"hedged_quantity",
|
||||
"ordinal_confusion",
|
||||
"implicit_subject",
|
||||
"self_reference",
|
||||
"distractor_noise",
|
||||
})
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Threshold + taxonomy
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_thresholds_pinned() -> None:
|
||||
"""ADR-0120 pins ≥30 cases × ≥8 families. Changing requires a new ADR."""
|
||||
assert MIN_TOTAL_CASES == 30
|
||||
assert MIN_FAMILIES == 8
|
||||
|
||||
|
||||
def test_committed_dataset_meets_thresholds() -> None:
|
||||
cases = [
|
||||
json.loads(line)
|
||||
for line in DEFAULT_CASES_PATH.read_text(encoding="utf-8").splitlines()
|
||||
if line.strip()
|
||||
]
|
||||
assert len(cases) >= MIN_TOTAL_CASES
|
||||
families = {c["family"] for c in cases}
|
||||
assert len(families) >= MIN_FAMILIES
|
||||
|
||||
|
||||
def test_committed_dataset_uses_only_known_families() -> None:
|
||||
cases = [
|
||||
json.loads(line)
|
||||
for line in DEFAULT_CASES_PATH.read_text(encoding="utf-8").splitlines()
|
||||
if line.strip()
|
||||
]
|
||||
families = {c["family"] for c in cases}
|
||||
extra = families - _KNOWN_FAMILIES
|
||||
assert not extra, f"unknown families — extend taxonomy in ADR before adding: {extra}"
|
||||
|
||||
|
||||
def test_every_known_family_has_at_least_one_case() -> None:
|
||||
cases = [
|
||||
json.loads(line)
|
||||
for line in DEFAULT_CASES_PATH.read_text(encoding="utf-8").splitlines()
|
||||
if line.strip()
|
||||
]
|
||||
families = {c["family"] for c in cases}
|
||||
missing = _KNOWN_FAMILIES - families
|
||||
assert not missing, f"missing case coverage for families: {missing}"
|
||||
|
||||
|
||||
def test_every_case_has_required_fields() -> None:
|
||||
cases = [
|
||||
json.loads(line)
|
||||
for line in DEFAULT_CASES_PATH.read_text(encoding="utf-8").splitlines()
|
||||
if line.strip()
|
||||
]
|
||||
for c in cases:
|
||||
assert "case_id" in c
|
||||
assert "family" in c
|
||||
assert "problem" in c
|
||||
assert "note" in c
|
||||
assert isinstance(c["problem"], str) and c["problem"].strip()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Snapshot: obligation #8 passes on current main
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_obligation_8_passes_on_current_main() -> None:
|
||||
"""The load-bearing snapshot. If this fails, either a parser change
|
||||
started producing wrong answers on adversarial input, or the case
|
||||
set was reduced below thresholds. Either way, investigate before
|
||||
relaxing."""
|
||||
r = evaluate_adversarial()
|
||||
assert r.obligation_8_passed is True, (
|
||||
f"obligation #8 failed: {r.refusal_reason}\n"
|
||||
f"families: {[(f.family, f.cases_wrong) for f in r.families if f.cases_wrong > 0]}"
|
||||
)
|
||||
assert r.wrong_count_is_zero is True
|
||||
assert r.threshold_cases_met is True
|
||||
assert r.threshold_families_met is True
|
||||
|
||||
|
||||
def test_wrong_count_is_zero_per_family() -> None:
|
||||
r = evaluate_adversarial()
|
||||
for f in r.families:
|
||||
assert f.cases_wrong == 0, (
|
||||
f"family {f.family!r} produced {f.cases_wrong} wrong answer(s)"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Failure modes
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_refuses_on_missing_cases_file(tmp_path: Path) -> None:
|
||||
r = evaluate_adversarial(cases_path=tmp_path / "missing.jsonl")
|
||||
assert r.obligation_8_passed is False
|
||||
assert "not found" in r.refusal_reason.lower()
|
||||
|
||||
|
||||
def test_refuses_when_cases_below_threshold(tmp_path: Path) -> None:
|
||||
"""Synthetic fixture with only 5 cases — must refuse on count
|
||||
threshold even if all 5 pass with wrong=0."""
|
||||
cases_file = tmp_path / "small.jsonl"
|
||||
rows = [
|
||||
json.dumps({
|
||||
"case_id": f"small-{i}",
|
||||
"family": f"fam_{i}",
|
||||
"problem": "Sam has 5 apples. How many apples does Sam have?",
|
||||
"note": "synthetic",
|
||||
})
|
||||
for i in range(5)
|
||||
]
|
||||
cases_file.write_text("\n".join(rows) + "\n", encoding="utf-8")
|
||||
r = evaluate_adversarial(cases_path=cases_file)
|
||||
assert r.obligation_8_passed is False
|
||||
assert "cases_total=5" in r.refusal_reason
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Determinism + artifact byte-equality
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_report_is_deterministic() -> None:
|
||||
r1 = evaluate_adversarial()
|
||||
r2 = evaluate_adversarial()
|
||||
assert json.dumps(r1.as_dict(), sort_keys=True) == json.dumps(r2.as_dict(), sort_keys=True)
|
||||
|
||||
|
||||
def test_artifact_emission_byte_equal(tmp_path: Path) -> None:
|
||||
r = evaluate_adversarial()
|
||||
out1 = tmp_path / "r1.json"
|
||||
out2 = tmp_path / "r2.json"
|
||||
emit_adversarial_report(r, out1)
|
||||
emit_adversarial_report(r, out2)
|
||||
assert out1.read_bytes() == out2.read_bytes()
|
||||
Loading…
Reference in a new issue