reasoning-gym/tests/test_set_operations.py

81 lines
2.5 KiB
Python

import pytest
from reasoning_gym.logic.set_operations import SetOperationsConfig, SetOperationsCurriculum, SetOperationsDataset
def test_config_validation():
with pytest.raises(AssertionError):
config = SetOperationsConfig(min_set_size=0)
config.validate()
with pytest.raises(AssertionError):
config = SetOperationsConfig(min_set_size=10, max_set_size=5)
config.validate()
def test_deterministic():
config = SetOperationsConfig(seed=42, size=10)
ds1 = SetOperationsDataset(config)
ds2 = SetOperationsDataset(config)
for i in range(len(ds1)):
assert ds1[i] == ds2[i]
def test_item_structure():
config = SetOperationsConfig(seed=42, size=50)
ds = SetOperationsDataset(config)
for i in range(len(ds)):
item = ds[i]
assert isinstance(item, dict)
assert "question" in item
assert "answer" in item
assert "metadata" in item
assert item["metadata"]["source_dataset"] == "set_operations"
def test_answer_correctness():
config = SetOperationsConfig(seed=42, size=50)
ds = SetOperationsDataset(config)
for i in range(len(ds)):
item = ds[i]
score = ds.score_answer(item["answer"], item)
assert score >= 1.0, f"Item {i}: oracle answer scored {score}"
def test_score_wrong_answer():
config = SetOperationsConfig(seed=42, size=10)
ds = SetOperationsDataset(config)
item = ds[0]
assert ds.score_answer(None, item) == 0.0
assert ds.score_answer("{999, 998, 997}", item) == 0.0
def test_curriculum():
curriculum = SetOperationsCurriculum()
base_value = {"size": 50, "seed": 1}
base_cfg = curriculum.generate_configuration(base_value)
assert base_cfg.seed == 1
curriculum.increment_attr_level("set_size")
increased_cfg = curriculum.generate_configuration(base_value)
assert increased_cfg.max_set_size >= base_cfg.max_set_size
def test_task_types():
for task_type in (
"union",
"intersection",
"difference",
"symmetric_difference",
"cardinality",
"power_set_size",
"complement",
"chained",
):
config = SetOperationsConfig(seed=42, size=10, task_types=(task_type,), task_weights=[1.0])
ds = SetOperationsDataset(config)
for i in range(len(ds)):
item = ds[i]
assert item["metadata"]["task_type"] == task_type
score = ds.score_answer(item["answer"], item)
assert score >= 1.0, f"Task {task_type}, item {i}: oracle scored {score}"