import pytest from reasoning_gym.algorithmic.game_of_life import GameOfLifeConfig, GameOfLifeDataset def test_game_of_life_config_validation(): """Test that invalid configs raise appropriate errors""" with pytest.raises(AssertionError): config = GameOfLifeConfig(grid_size_x=2) # Too small config.validate() with pytest.raises(AssertionError): config = GameOfLifeConfig(grid_size_y=1000) # Too large config.validate() with pytest.raises(AssertionError): config = GameOfLifeConfig(grid_size_x=5, grid_size_y=5, filled_cells=26) # Too many cells config.validate() def test_game_of_life_deterministic(): """Test that dataset generates same items with same seed""" config = GameOfLifeConfig(seed=42, size=10) dataset1 = GameOfLifeDataset(config) dataset2 = GameOfLifeDataset(config) for i in range(len(dataset1)): assert dataset1[i] == dataset2[i] def test_game_of_life_basic_properties(): """Test basic properties and solution of generated items""" config = GameOfLifeConfig(seed=42, size=10, grid_size_x=20, grid_size_y=20, filled_cells=200, simulation_steps=1) dataset = GameOfLifeDataset(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 "grid_size_x" in item["metadata"] assert "grid_size_y" in item["metadata"] assert "filled_cells" in item["metadata"] assert "simulation_steps" in item["metadata"] # Test the scoring assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0 assert dataset.score_answer(answer=None, entry=item) == 0.0 assert dataset.score_answer(answer="invalid json", entry=item) == 0.01 def test_game_of_life_iteration(): """Test that iteration respects dataset size""" config = GameOfLifeConfig(size=5, seed=42) # Small size for testing dataset = GameOfLifeDataset(config) # Test manual iteration items = [] for item in dataset: items.append(item) assert len(items) == config.size, "Iterator should yield exactly size items" # Test list conversion items = list(dataset) assert len(items) == config.size, "Iterator should yield exactly size items" # Test multiple iterations first_items = list(dataset) second_items = list(dataset) assert first_items == second_items, "Multiple iterations should yield same items"