reasoning-gym/tests/test_rearc.py
2025-02-08 11:42:49 +00:00

92 lines
3 KiB
Python

import pytest
from reasoning_gym import create_dataset
from reasoning_gym.arc.rearc import ReArcConfig, ReArcDataset
from reasoning_gym.arc.rearc_board_format import format_board
def test_rearc_config_validation():
"""Test validation of ReArc configuration parameters"""
with pytest.raises(AssertionError):
ReArcConfig(diff_lb=0.5, diff_ub=0.3).validate()
with pytest.raises(AssertionError):
ReArcConfig(size=0).validate()
def test_rearc_deterministic():
"""Test dataset reproducibility with fixed seed"""
config = ReArcConfig(seed=42, size=500, diff_lb=0, diff_ub=1)
ds1 = ReArcDataset(config)
ds2 = ReArcDataset(config)
for i in range(len(ds1)):
assert ds1[i] == ds2[i], "ReArc datasets with same seed should match exactly"
def test_rearc_items():
"""Test basic structure and metadata of generated items"""
config = ReArcConfig(seed=42, size=500, diff_lb=0, diff_ub=1)
dataset = ReArcDataset(config)
for item in dataset:
assert isinstance(item, dict)
assert "question" in item
assert "answer" in item
assert "metadata" in item
meta = item["metadata"]
assert "input" in meta
assert "output" in meta
assert "task_id" in meta
assert "rng" in meta
assert "pso" in meta
# Validate difficulty bounds
assert config.diff_lb <= meta["rng"] <= config.diff_ub
assert config.diff_lb <= meta["pso"] <= config.diff_ub
def test_rearc_solution_validation():
"""Test solution verification and scoring"""
config = ReArcConfig(size=500, seed=123)
dataset = ReArcDataset(config)
for item in dataset:
# Test correct solution
correct = format_board(item["metadata"]["output"], dataset.board_format_opts)
assert dataset.score_answer(correct, item["metadata"]) == 1.0
## Test invalid format
# assert dataset.score_answer("invalid_grid", item["metadata"]) == 0.05
# Test empty answer
# assert dataset.score_answer(None, item["metadata"]) == 0.0
def test_rearc_scoring_edge_cases():
"""Test scoring for partial and malformed answers"""
config = ReArcConfig(size=500, seed=456)
dataset = ReArcDataset(config)
for item in dataset:
# Partial match
partial = format_board([[0, 0], [0, 0]], dataset.board_format_opts)
assert 0.0 < dataset.score_answer(partial, item["metadata"]) < 1.0
# Malformed answer
assert dataset.score_answer("[[invalid", item["metadata"]) == 0.01
# Case sensitivity
answer = format_board(item["metadata"]["output"], dataset.board_format_opts).lower()
assert dataset.score_answer(answer, item["metadata"]) == 1.0
def test_rearc_visualization():
"""Test visualization function runs without errors"""
config = ReArcConfig(size=2, seed=789)
dataset = ReArcDataset(config)
for item in dataset:
dataset.visualise_pair(item)
# No assertion needed - just verify no exceptions