mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
dced3bfc45
* init * fix tests * unify codeio * filtered for libraries not present in reasoning-gym * fix more bounds * puzzle24 * knight swap curriculum * fix number sorting * fix attributes * add validation of config in creation of dataset * dry run for instantiating and validating the datasets * remove unused imports * fix curriculum tests to reference newly updated attribute names
88 lines
3.3 KiB
Python
88 lines
3.3 KiB
Python
import pytest
|
|
|
|
from reasoning_gym.cognition.rubiks_cube import RubiksCubeConfig, RubiksCubeCurriculum, RubiksCubeDataset
|
|
|
|
|
|
def test_rubikscube_config_validation():
|
|
"""Test that invalid configs raise appropriate errors"""
|
|
with pytest.raises(AssertionError):
|
|
config = RubiksCubeConfig(cube_size=1) # Too small
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = RubiksCubeConfig(max_scramble_steps=0) # Don't give an unscrambled cube
|
|
config.validate()
|
|
|
|
|
|
def test_rubikscube_deterministic():
|
|
"""Test that dataset generates same items with same seed"""
|
|
config = RubiksCubeConfig(seed=42, size=15) # Only check first 15 entries for speed
|
|
dataset1 = RubiksCubeDataset(config)
|
|
dataset2 = RubiksCubeDataset(config)
|
|
assert len(dataset1) == 15
|
|
assert len(dataset2) == 15
|
|
|
|
for i in range(len(dataset1)):
|
|
assert dataset1[i] == dataset2[i]
|
|
|
|
|
|
def test_rubikscube_items():
|
|
"""Test basic properties and solution of generated items"""
|
|
config = RubiksCubeConfig(
|
|
cube_size=3,
|
|
min_scramble_steps=4,
|
|
max_scramble_steps=4,
|
|
seed=42,
|
|
size=100,
|
|
)
|
|
dataset = RubiksCubeDataset(config)
|
|
|
|
for item in dataset:
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert "metadata" in item
|
|
|
|
# Check metadata contains required fields
|
|
assert "cube_size" in item["metadata"]
|
|
assert "cube_size" in item["metadata"]
|
|
assert "scramble_steps" in item["metadata"]
|
|
assert "scramble_moves" in item["metadata"]
|
|
assert "example_correct_answer" in item["metadata"]
|
|
|
|
assert dataset.score_answer(answer=item["metadata"]["example_correct_answer"], entry=item) == 1.0
|
|
assert dataset.score_answer(answer="a wrong solution", entry=item) == 0.01
|
|
assert dataset.score_answer(answer=None, entry=item) == 0.0
|
|
|
|
if item["metadata"]["example_correct_answer"] != "R":
|
|
assert dataset.score_answer(answer="R", entry=item) == 0.05
|
|
|
|
assert dataset.score_answer(answer="R2 R3 R4 R5 R'2 R'3", entry=item) == 0.05
|
|
|
|
if len(item["metadata"]["example_correct_answer"]) > 0:
|
|
assert dataset.score_answer(answer="", entry=item) == 0.01
|
|
|
|
|
|
def test_rubiks_cube_curriculum():
|
|
curriculum = RubiksCubeCurriculum()
|
|
|
|
base_value = {"size": 150, "seed": 1}
|
|
|
|
base_cfg: RubiksCubeConfig = curriculum.generate_configuration(base_value)
|
|
assert base_cfg.seed == 1
|
|
assert base_cfg.size == 150
|
|
assert base_cfg.cube_size == 3
|
|
assert base_cfg.min_scramble_steps == 3 and base_cfg.max_scramble_steps == 10
|
|
|
|
# test incrementing attribute levels for cube_size & scramble_stepsd attributes
|
|
curriculum.increment_attr_level("cube_size")
|
|
curriculum.increment_attr_level("scramble_steps")
|
|
increased_cfg = curriculum.generate_configuration(base_value)
|
|
assert increased_cfg.cube_size == 4
|
|
assert increased_cfg.min_scramble_steps == 3 and increased_cfg.max_scramble_steps == 25
|
|
|
|
# test decrementing attribute level for cube_size again
|
|
curriculum.decrement_attr_level("cube_size")
|
|
partially_decreased_cfg = curriculum.generate_configuration(base_value)
|
|
assert partially_decreased_cfg.cube_size == 3
|
|
assert partially_decreased_cfg.min_scramble_steps == 3 and partially_decreased_cfg.max_scramble_steps == 25
|