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119 lines
3.8 KiB
Python
119 lines
3.8 KiB
Python
"""Tests for Spiral Matrix questions generation"""
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import pytest
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from reasoning_gym.algorithmic.spiral_matrix import SpiralMatrixConfig, SpiralMatrixCurriculum, SpiralMatrixDataset
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def test_spiral_matrix_config_validation():
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"""Test that invalid configs raise appropriate errors"""
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with pytest.raises(AssertionError):
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config = SpiralMatrixConfig(max_n=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = SpiralMatrixConfig(max_n=0) # Zero not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = SpiralMatrixConfig(max_n=1) # One not allowed
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config.validate()
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def test_spiral_matrix_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = SpiralMatrixConfig(seed=42, size=10)
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dataset1 = SpiralMatrixDataset(config)
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dataset2 = SpiralMatrixDataset(config)
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for i in range(len(dataset1)):
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assert dataset1[i] == dataset2[i]
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def test_spiral_matrix_dataset_items():
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"""Test basic properties of generated items"""
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config = SpiralMatrixConfig(max_n=5, size=10, seed=42)
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dataset = SpiralMatrixDataset(config)
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for i in range(len(dataset)):
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item = dataset[i]
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# Check item structure
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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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# Check metadata
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assert "matrix" in item["metadata"]
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assert "solution" in item["metadata"]
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matrix = item["metadata"]["matrix"]
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solution = item["metadata"]["solution"]
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# Verify list dimensions
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assert len(matrix) <= config.max_n
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assert all(len(row) <= config.max_n for row in matrix)
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assert sum(len(row) for row in matrix) == len(solution)
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def test_spiral_matrix_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = SpiralMatrixConfig(size=5, seed=42)
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dataset = SpiralMatrixDataset(config)
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items = list(dataset)
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assert len(items) == config.size
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# Test multiple iterations yield same items
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assert items == list(dataset)
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def test_spiral_matrix_answer():
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"""Test the _get_spiral method"""
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config = SpiralMatrixConfig(seed=42)
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dataset = SpiralMatrixDataset(config)
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# 2D grid
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matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
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assert dataset._get_spiral(matrix) == [1, 2, 3, 6, 9, 8, 7, 4, 5]
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# Answer is identical (up to trimming)
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entry = {"answer": "1 2 3 6 9 8 7 4 5"}
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answer = "\n\n1 2 3 6 9 8 7 4 5\n"
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assert dataset.score_answer(answer, entry) == 1.0
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# Score answer in list format (partially correct)
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entry = {"answer": "1 2 3 6 9 8 7 4 5"}
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answer = "[1, 2, 3, 6, 9, 8, 7, 4, 5]"
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assert dataset.score_answer(answer, entry) == 0.1
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# Answer is incorrect
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entry = {"answer": "1 2 3 6 9 8 7 4 5"}
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answer = "1 2 3"
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assert dataset.score_answer(answer, entry) == 0.0
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# Answer is none
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entry = {"answer": "1 2 3 6 9 8 7 4 5"}
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answer = None
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assert dataset.score_answer(answer, entry) == 0.0
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def test_spiral_matrix_curriculum():
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curriculum = SpiralMatrixCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg: SpiralMatrixConfig = curriculum.generate_configuration(base_value)
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assert base_cfg.seed == 1
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assert base_cfg.size == 150
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assert base_cfg.min_n == 10 and base_cfg.max_n == 10
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# test incrementing attribute levels
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curriculum.increment_attr_level("n")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.min_n == 10 and increased_cfg.max_n == 25
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# test decrementing attribute levels
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curriculum.decrement_attr_level("n")
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decreased_cfg = curriculum.generate_configuration(base_value)
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assert decreased_cfg.min_n == 10 and decreased_cfg.max_n == 10
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