core/evals/setup_oracle/runner.py
Shay 5b193280a5 feat(setup-oracle): independent R1 gold + the reader refuses, never misreads (PR-5b)
Pure-gold. Defines what "correct" means for the R1 (comparative / derived-symbol /
multi-step) shapes the reader cannot read yet, and verifies the current reader REFUSES
them rather than misreading them. NO frame extraction, no parser change, no serving.

- evals/setup_oracle/r1_gold.jsonl — 10 INDEPENDENT, self-contained fixtures (id, text,
  relations, expected_units, query, notes) covering: twice/half-as-many (multiplicative),
  more/fewer-than -> total, a multi-step derived chain (jon=3*ivy; kim=jon+2), a derived
  subtotal reused downstream (total=lee+mae; per_box=total/3), an inverse target, and the
  hard negatives (ambiguous referent, missing base quantity, distractor quantity). The
  gold is the authority — each fixture is reviewable without joining files.
- run_r1() scores the CURRENT reader against this gold.

Investigative result (the deliverable): **10/10 setup_refused, setup_wrong=0, setup_correct=0.**
The reader refuses every R1 shape with a TYPED reason (non_digit_quantity /
no_quantity_template / unreadable_quantity_clause / admissibility_refused) — it NEVER
misreads an R1 case as a simpler form. So the wrong=0 posture holds all the way down, and
PR-5c (the R1 frame) starts from a clean foundation: every R1 case is currently a safe
refusal, and the frame's job is refusal -> correct, with the oracle ensuring no
setup_wrong is ever introduced.

`python -m evals.setup_oracle r1` prints the auditable R1 report (exit 0 iff
setup_wrong==0). The 15-case setup gate + relational_metric answer lane are untouched.
2026-06-06 17:18:45 -07:00

174 lines
6.6 KiB
Python

"""Setup-oracle runner — grade the reader's comprehended structure + UNITS vs gold.
For each relational_metric case: comprehend the prose into a binding-graph and compare,
against the INDEPENDENT gold, three axes:
1. the relation STRUCTURE (facts + typed equations — from the IR, not a reparse),
2. the per-symbol UNITS (read from the binding-graph, vs the expected_units fixture),
3. the question TARGET (symbol, state-index, form, expected unit).
A mismatch on ANY axis is ``setup_wrong`` — the wrong=0-critical count — even if the
answer would be right. This is a STRICTER gate than the relational_metric (answer) lane,
and the gate every future GSM8K frame family must pass before serving.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
from evals.relational_metric.runner import _load_cases
from evals.setup_oracle.signature import (
gold_unknown_signature,
reader_symbol_units,
reader_unknown_signature,
relation_signature,
symbol_unit_signature,
)
from generate.meaning_graph.reader import Refusal
from generate.quantitative_comprehension import comprehend_quantitative, to_relational_metric
_EXPECTED_UNITS_PATH = Path(__file__).resolve().parent / "expected_units.json"
_R1_GOLD_PATH = Path(__file__).resolve().parent / "r1_gold.jsonl"
def _load_expected_units() -> dict[str, dict[str, str]]:
raw = json.loads(_EXPECTED_UNITS_PATH.read_text(encoding="utf-8"))
return {k: v for k, v in raw.items() if not k.startswith("_")}
def _load_r1_gold() -> list[dict[str, Any]]:
return [
json.loads(line)
for line in _R1_GOLD_PATH.read_text(encoding="utf-8").splitlines()
if line.strip()
]
def run() -> dict[str, Any]:
"""Score the reader's setup (structure + units + target) against the independent gold."""
cases = _load_cases()
expected_units = _load_expected_units()
setup_correct = setup_wrong = setup_refused = 0
wrongs: list[dict[str, Any]] = []
for case in cases:
comp = comprehend_quantitative(case["text"])
if isinstance(comp, Refusal):
setup_refused += 1
continue
projected = to_relational_metric(comp)
if projected is None:
setup_refused += 1
continue
reader_relations, _reader_query = projected
case_units = expected_units.get(case.get("id", ""), {})
reader_rel = relation_signature(reader_relations)
gold_rel = relation_signature(case["relations"])
reader_units = reader_symbol_units(comp.binding_graph)
gold_units = symbol_unit_signature(case_units)
reader_unk = reader_unknown_signature(comp.binding_graph)
gold_unk = gold_unknown_signature(case["relations"], case["query"], case_units)
if reader_rel == gold_rel and reader_units == gold_units and reader_unk == gold_unk:
setup_correct += 1
else:
setup_wrong += 1
wrongs.append(
{
"id": case.get("id"),
"relations_match": reader_rel == gold_rel,
"units_match": reader_units == gold_units,
"target_match": reader_unk == gold_unk,
"reader_units": reader_units,
"gold_units": gold_units,
"reader_target": reader_unk,
"gold_target": gold_unk,
}
)
return {
"lane": "setup_oracle",
"grades": "structure + per-symbol units + question target (symbol/state/form/unit)",
"total": len(cases),
"setup_correct": setup_correct,
"setup_wrong": setup_wrong,
"setup_refused": setup_refused,
"wrongs": wrongs,
"counts": {
"setup_correct": setup_correct,
"setup_wrong": setup_wrong,
"setup_refused": setup_refused,
},
}
def run_r1() -> dict[str, Any]:
"""Score the CURRENT reader against the independent, self-contained R1 gold.
The reader cannot read most R1 shapes (multiplicative, multi-step, partition) yet.
The SUCCESS CRITERION is **``setup_wrong == 0``**: it must REFUSE every unsupported
shape, NEVER misread it as a simpler form. ``setup_refused`` is the unsupported count;
``setup_correct`` is any shape already faithfully supported. A ``setup_wrong`` is a
pre-existing wrong-reading hazard to fix BEFORE building the R1 frame (PR-5c).
"""
fixtures = _load_r1_gold()
setup_correct = setup_wrong = setup_refused = 0
details: list[dict[str, Any]] = []
for fx in fixtures:
comp = comprehend_quantitative(fx["text"])
if isinstance(comp, Refusal):
setup_refused += 1
details.append({"id": fx["id"], "outcome": "refused", "reason": comp.reason})
continue
projected = to_relational_metric(comp)
if projected is None:
setup_refused += 1
details.append({"id": fx["id"], "outcome": "refused", "reason": "unprojectable"})
continue
reader_relations, _ = projected
units = fx["expected_units"]
reader_rel = relation_signature(reader_relations)
gold_rel = relation_signature(fx["relations"])
reader_units = reader_symbol_units(comp.binding_graph)
gold_units = symbol_unit_signature(units)
reader_unk = reader_unknown_signature(comp.binding_graph)
gold_unk = gold_unknown_signature(fx["relations"], fx["query"], units)
if reader_rel == gold_rel and reader_units == gold_units and reader_unk == gold_unk:
setup_correct += 1
details.append({"id": fx["id"], "outcome": "correct"})
else:
setup_wrong += 1
details.append(
{
"id": fx["id"],
"outcome": "WRONG",
"relations_match": reader_rel == gold_rel,
"units_match": reader_units == gold_units,
"target_match": reader_unk == gold_unk,
"reader_relations": reader_rel,
"gold_relations": gold_rel,
"reader_target": reader_unk,
"gold_target": gold_unk,
}
)
return {
"lane": "setup_oracle_r1",
"total": len(fixtures),
"setup_correct": setup_correct,
"setup_wrong": setup_wrong,
"setup_refused": setup_refused,
"details": details,
"counts": {
"setup_correct": setup_correct,
"setup_wrong": setup_wrong,
"setup_refused": setup_refused,
},
}
__all__ = ["run", "run_r1"]