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https://github.com/open-thought/reasoning-gym.git
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86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
import pytest
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from reasoning_gym.arithmetic.number_theory import NumberTheoryConfig, NumberTheoryCurriculum, NumberTheoryDataset
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def test_config_validation():
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with pytest.raises(AssertionError):
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config = NumberTheoryConfig(min_value=1)
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config.validate()
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with pytest.raises(AssertionError):
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config = NumberTheoryConfig(min_value=50, max_value=10)
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config.validate()
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def test_deterministic():
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config = NumberTheoryConfig(seed=42, size=10)
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ds1 = NumberTheoryDataset(config)
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ds2 = NumberTheoryDataset(config)
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for i in range(len(ds1)):
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assert ds1[i] == ds2[i]
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def test_item_structure():
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config = NumberTheoryConfig(seed=42, size=50)
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ds = NumberTheoryDataset(config)
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for i in range(len(ds)):
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item = ds[i]
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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assert item["metadata"]["source_dataset"] == "number_theory"
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def test_answer_correctness():
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config = NumberTheoryConfig(seed=42, size=50)
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ds = NumberTheoryDataset(config)
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for i in range(len(ds)):
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item = ds[i]
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score = ds.score_answer(item["answer"], item)
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assert score >= 1.0, f"Item {i}: oracle answer scored {score}"
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def test_diophantine_verification():
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config = NumberTheoryConfig(seed=42, size=20, task_types=("diophantine",), task_weights=[1.0])
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ds = NumberTheoryDataset(config)
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for i in range(len(ds)):
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item = ds[i]
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a = item["metadata"]["a"]
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b = item["metadata"]["b"]
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c = item["metadata"]["c"]
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parts = {}
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for part in item["answer"].split(","):
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k, v = part.split("=")
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parts[k.strip()] = int(v.strip())
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assert a * parts["x"] + b * parts["y"] == c
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def test_score_wrong_answer():
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config = NumberTheoryConfig(seed=42, size=10)
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ds = NumberTheoryDataset(config)
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item = ds[0]
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assert ds.score_answer(None, item) == 0.0
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def test_curriculum():
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curriculum = NumberTheoryCurriculum()
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base_value = {"size": 50, "seed": 1}
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base_cfg = curriculum.generate_configuration(base_value)
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assert base_cfg.seed == 1
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curriculum.increment_attr_level("value_range")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.max_value >= base_cfg.max_value
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def test_task_types():
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for task_type in ("mod_arith", "mod_exp", "totient", "crt", "mod_inverse", "diophantine"):
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config = NumberTheoryConfig(seed=42, size=10, task_types=(task_type,), task_weights=[1.0])
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ds = NumberTheoryDataset(config)
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for i in range(len(ds)):
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item = ds[i]
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assert item["metadata"]["task_type"] == task_type
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score = ds.score_answer(item["answer"], item)
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assert score >= 1.0, f"Task {task_type}, item {i}: oracle scored {score}"
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