First Phase of ADR-0114's expert-capability roadmap. Decomposed into four sub-phases so each lands as its own auditable step: 1.1 schema + 5 seed cases + invariants ← this commit 1.2 45 more dev-set cases ← delegated (Codex) 1.3 the parser itself ← exit: ≥0.90 on dev set 1.4 runtime binding ← if non-trivial What landed - generate/math_problem_graph.py — typed dataclasses (Quantity, InitialPossession, Operation, Unknown, MathProblemGraph) + frozen validation + canonical_bytes() byte-deterministic serialization + graph_from_dict roundtrip. - evals/gsm8k_parser_dev/cases.jsonl — 5 seed cases (gpd-001..005) covering single-add, single-subtract, multi-step, two-entity transfer, and multi-entity sum constructions. Every case carries a ground_truth_graph and the documented patterns it exercises. - evals/gsm8k_parser_dev/README.md — authoring contract: schema, pattern registry, canonicalization rules, Phase 1.1 scope boundary, hand-solving rubric, distribution target for the remaining 45 cases. This is the spec Phase 1.2 authors work against. - tests/test_math_problem_graph.py — 26 cases pinning four invariants: round-trip byte equality, canonical_bytes() determinism, schema rejection of malformed graphs, and ground_truth_graph ↔ expected_answer agreement (a hand-solver inside the test module falsifies mis-authored cases). Why this is sticky The Phase 1.1 schema is load-bearing for Phase 1.2 (the 45 authored cases will be written against it) AND Phase 1.3 (the parser will be graded byte-equal against ground-truth graphs in this schema). Changing the schema after Phase 1.2 lands requires an amendment ADR + rewriting authored cases. The schema choices here are intentionally conservative. Tests: 26/26 new; 67/67 smoke green. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
194 lines
6.9 KiB
Python
194 lines
6.9 KiB
Python
"""ADR-0115 Phase 1.1 — math problem graph schema invariants.
|
|
|
|
Pins:
|
|
|
|
1. The five seed cases in ``evals/gsm8k_parser_dev/cases.jsonl`` round-trip
|
|
through ``graph_from_dict`` → ``as_json`` without changing bytes.
|
|
|
|
2. ``MathProblemGraph.canonical_bytes()`` is deterministic: same logical
|
|
graph constructed twice produces identical bytes.
|
|
|
|
3. Construction-time validation refuses malformed graphs.
|
|
|
|
4. Pyhand-solving each seed case from its ground-truth graph reproduces the
|
|
``expected_answer`` — this catches mis-authored ground-truth graphs.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from generate.math_problem_graph import (
|
|
InitialPossession,
|
|
MathGraphError,
|
|
MathProblemGraph,
|
|
Operation,
|
|
Quantity,
|
|
Unknown,
|
|
graph_from_dict,
|
|
)
|
|
|
|
|
|
_REPO_ROOT = Path(__file__).resolve().parent.parent
|
|
_CASES = _REPO_ROOT / "evals" / "gsm8k_parser_dev" / "cases.jsonl"
|
|
|
|
|
|
def _load_cases() -> list[dict]:
|
|
return [json.loads(line) for line in _CASES.read_text().splitlines() if line.strip()]
|
|
|
|
|
|
class TestSeedCasesRoundTrip:
|
|
@pytest.mark.parametrize("case", _load_cases(), ids=lambda c: c["id"])
|
|
def test_graph_loads(self, case: dict) -> None:
|
|
graph = graph_from_dict(case["ground_truth_graph"])
|
|
assert isinstance(graph, MathProblemGraph)
|
|
|
|
@pytest.mark.parametrize("case", _load_cases(), ids=lambda c: c["id"])
|
|
def test_round_trip_byte_equal(self, case: dict) -> None:
|
|
graph = graph_from_dict(case["ground_truth_graph"])
|
|
reloaded = graph_from_dict(graph.as_json())
|
|
assert graph.canonical_bytes() == reloaded.canonical_bytes()
|
|
|
|
|
|
class TestCanonicalBytesDeterminism:
|
|
def test_two_identical_graphs_produce_identical_bytes(self) -> None:
|
|
g1 = MathProblemGraph(
|
|
entities=("Sam",),
|
|
initial_state=(
|
|
InitialPossession("Sam", Quantity(5, "apples")),
|
|
),
|
|
operations=(Operation("Sam", "add", Quantity(3, "apples")),),
|
|
unknown=Unknown("Sam", "apples"),
|
|
)
|
|
g2 = MathProblemGraph(
|
|
entities=("Sam",),
|
|
initial_state=(
|
|
InitialPossession("Sam", Quantity(5, "apples")),
|
|
),
|
|
operations=(Operation("Sam", "add", Quantity(3, "apples")),),
|
|
unknown=Unknown("Sam", "apples"),
|
|
)
|
|
assert g1.canonical_bytes() == g2.canonical_bytes()
|
|
assert g1 == g2
|
|
|
|
|
|
class TestSchemaRejectsMalformed:
|
|
def test_quantity_rejects_string_value(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Quantity("5", "apples") # type: ignore[arg-type]
|
|
|
|
def test_quantity_rejects_empty_unit(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Quantity(5, "")
|
|
|
|
def test_operation_rejects_unknown_kind(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Operation("Sam", "explode", Quantity(3, "apples"))
|
|
|
|
def test_transfer_requires_target(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Operation("Sam", "transfer", Quantity(3, "apples"))
|
|
|
|
def test_non_transfer_rejects_target(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Operation("Sam", "add", Quantity(3, "apples"), target="Tom")
|
|
|
|
def test_transfer_self_rejected(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
Operation("Sam", "transfer", Quantity(3, "apples"), target="Sam")
|
|
|
|
def test_graph_rejects_duplicate_entities(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
MathProblemGraph(
|
|
entities=("Sam", "Sam"),
|
|
initial_state=(),
|
|
operations=(),
|
|
unknown=Unknown("Sam", "apples"),
|
|
)
|
|
|
|
def test_graph_rejects_unknown_entity_in_initial(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
MathProblemGraph(
|
|
entities=("Sam",),
|
|
initial_state=(InitialPossession("Tom", Quantity(5, "apples")),),
|
|
operations=(),
|
|
unknown=Unknown("Sam", "apples"),
|
|
)
|
|
|
|
def test_graph_rejects_unknown_entity_in_question(self) -> None:
|
|
with pytest.raises(MathGraphError):
|
|
MathProblemGraph(
|
|
entities=("Sam",),
|
|
initial_state=(),
|
|
operations=(),
|
|
unknown=Unknown("Tom", "apples"),
|
|
)
|
|
|
|
|
|
def _hand_solve(graph: MathProblemGraph) -> tuple[float, str]:
|
|
"""Reference solver — ADR-0116 supersedes this with a real solver.
|
|
|
|
Used here only to falsify mis-authored ground-truth graphs in the seed
|
|
set. Sufficient for the patterns Phase 1.1 covers.
|
|
"""
|
|
state: dict[tuple[str, str], float] = {}
|
|
for p in graph.initial_state:
|
|
state[(p.entity, p.quantity.unit)] = float(p.quantity.value)
|
|
for op in graph.operations:
|
|
key = (op.actor, op.operand.unit)
|
|
cur = state.get(key, 0.0)
|
|
v = float(op.operand.value)
|
|
if op.kind == "add":
|
|
state[key] = cur + v
|
|
elif op.kind == "subtract":
|
|
state[key] = cur - v
|
|
elif op.kind == "transfer":
|
|
assert op.target is not None
|
|
state[key] = cur - v
|
|
tgt_key = (op.target, op.operand.unit)
|
|
state[tgt_key] = state.get(tgt_key, 0.0) + v
|
|
elif op.kind == "multiply":
|
|
state[key] = cur * v
|
|
elif op.kind == "divide":
|
|
state[key] = cur / v
|
|
if graph.unknown.entity is None:
|
|
total = sum(
|
|
v for (_, unit), v in state.items() if unit == graph.unknown.unit
|
|
)
|
|
return total, graph.unknown.unit
|
|
return state[(graph.unknown.entity, graph.unknown.unit)], graph.unknown.unit
|
|
|
|
|
|
class TestGroundTruthGraphsAgreeWithExpectedAnswers:
|
|
"""Falsifies mis-authored seed cases.
|
|
|
|
For each seed case, hand-solving the ground-truth graph using the
|
|
documented operation semantics must reproduce ``expected_answer`` and
|
|
``expected_unit``.
|
|
"""
|
|
|
|
@pytest.mark.parametrize("case", _load_cases(), ids=lambda c: c["id"])
|
|
def test_hand_solve_matches_expected(self, case: dict) -> None:
|
|
graph = graph_from_dict(case["ground_truth_graph"])
|
|
computed, unit = _hand_solve(graph)
|
|
assert unit == case["expected_unit"], (
|
|
f"{case['id']}: unit mismatch — graph says {unit!r}, "
|
|
f"expected {case['expected_unit']!r}"
|
|
)
|
|
# Accept int/float equivalence; problems are integer-valued.
|
|
assert computed == case["expected_answer"], (
|
|
f"{case['id']}: hand-solve produced {computed} but case "
|
|
f"declared expected_answer={case['expected_answer']}"
|
|
)
|
|
|
|
|
|
class TestCaseIdsAreSequential:
|
|
def test_ids_are_gpd_zero_padded_sequential(self) -> None:
|
|
cases = _load_cases()
|
|
for i, c in enumerate(cases, start=1):
|
|
assert c["id"] == f"gpd-{i:03d}", (
|
|
f"case {i}: expected id 'gpd-{i:03d}', got {c['id']!r}"
|
|
)
|