"""Tests for simple equation task generation""" import pytest from reasoning_gym.algebra.simple_equations import ( SimpleEquationsConfig, SimpleEquationsCurriculum, SimpleEquationsDataset, ) def test_simple_equations_config_validation(): """Test that invalid configs raise appropriate errors""" with pytest.raises(AssertionError): config = SimpleEquationsConfig(min_terms=0) # Too few terms config.validate() with pytest.raises(AssertionError): config = SimpleEquationsConfig(min_terms=5, max_terms=3) # max < min terms config.validate() with pytest.raises(AssertionError): config = SimpleEquationsConfig(min_value=0) # Too small value config.validate() with pytest.raises(AssertionError): config = SimpleEquationsConfig(min_value=100, max_value=50) # max < min value config.validate() with pytest.raises(AssertionError): config = SimpleEquationsConfig(operators=()) # Empty operators config.validate() with pytest.raises(AssertionError): config = SimpleEquationsConfig(operators=("+", "^")) # Invalid operator config.validate() def test_simple_equations_dataset_deterministic(): """Test that dataset generates same items with same seed""" config = SimpleEquationsConfig(seed=42, size=10) dataset1 = SimpleEquationsDataset(config) dataset2 = SimpleEquationsDataset(config) for i in range(len(dataset1)): assert dataset1[i] == dataset2[i] def test_simple_equations_dataset_items(): """Test basic properties of generated items""" config = SimpleEquationsConfig(min_terms=2, max_terms=4, min_value=1, max_value=100, size=10, seed=42) dataset = SimpleEquationsDataset(config) for i in range(len(dataset)): item = dataset[i] # Check item structure assert isinstance(item, dict) assert "question" in item assert "answer" in item assert "metadata" in item # Check metadata assert "equation" in item["metadata"] assert "variable" in item["metadata"] # Verify answer is numeric (allowing negative numbers) answer = item["answer"] assert answer.replace("-", "").isdigit() # Verify equation format equation = item["metadata"]["equation"] assert "=" in equation assert item["metadata"]["variable"] in equation def test_simple_equations_dataset_iteration(): """Test that iteration respects dataset size""" config = SimpleEquationsConfig(size=5, seed=42) dataset = SimpleEquationsDataset(config) items = list(dataset) assert len(items) == config.size # Test multiple iterations yield same items assert items == list(dataset) def test_simple_equations_solution_verification(): """Test that generated equations have correct solutions""" config = SimpleEquationsConfig( min_terms=2, max_terms=3, min_value=1, max_value=10, # Small values for predictable results operators=("+", "-", "*"), # Simple operators for easy verification operators_weights=[0.5, 0.5, 0.0], size=10, seed=42, ) dataset = SimpleEquationsDataset(config) for item in dataset: # Extract equation parts equation = item["metadata"]["equation"] variable = item["metadata"]["variable"] solution = int(item["answer"]) # Verify solution by substitution equation_parts = equation.split("=") left_side = equation_parts[0].strip() right_side = int(equation_parts[1].strip()) # Replace variable with solution evaluated = eval(left_side.replace(variable, str(solution))) assert evaluated == right_side def test_simple_equations_operators(): """Test equation generation with different operator combinations""" for operators, operators_weights in [ (("+", "-", "*"), [1.0, 0.0, 0.0]), # 100% for + (("+", "-", "*"), [0.5, 0.5, 0.0]), # 50% for +, 50% for - (("+", "-", "*"), [0.0, 0.0, 1.0]), # 100% for * (("+", "-", "*"), [0.5, 0.0, 0.5]), # 50% for +, 50% for * (("+", "-", "*"), [0.33, 0.33, 0.33]), # 33% for +, 33% for -, 33% for * ]: config = SimpleEquationsConfig(operators=operators, operators_weights=operators_weights, size=5, seed=42) dataset = SimpleEquationsDataset(config) for item in dataset: equation = item["metadata"]["equation"] # Verify only allowed operators are used for op in "+-*": if op in equation: assert op in operators, str(equation) def test_simple_equations_curriculum(): """Test the curriculum for simple equations.""" curriculum = SimpleEquationsCurriculum() base_value = {"size": 150, "seed": 1} base_cfg: SimpleEquationsConfig = curriculum.generate_configuration(base_value) assert base_cfg.seed == 1 assert base_cfg.size == 150 assert base_cfg.min_terms == 2 assert base_cfg.max_terms == 5 assert base_cfg.min_value == 1 assert base_cfg.max_value == 100 assert base_cfg.operators_weights == [0.4, 0.4, 0.2] # Increase and validate increase in level curriculum.increment_attr_level("min_terms") curriculum.increment_attr_level("max_terms") curriculum.increment_attr_level("min_value") curriculum.increment_attr_level("max_value") curriculum.increment_attr_level("operators_weights") increased_cfg: SimpleEquationsConfig = curriculum.generate_configuration(base_value) assert increased_cfg.min_terms == 3 assert increased_cfg.max_terms == 10 assert increased_cfg.min_value == 10 assert increased_cfg.max_value == 10000 assert increased_cfg.operators_weights == [0.35, 0.35, 0.3] # Decrease and validate decrease in level curriculum.decrement_attr_level("min_terms") curriculum.decrement_attr_level("max_terms") curriculum.decrement_attr_level("min_value") curriculum.decrement_attr_level("max_value") curriculum.decrement_attr_level("operators_weights") decreased_cfg: SimpleEquationsConfig = curriculum.generate_configuration(base_value) assert decreased_cfg.min_terms == 2 assert decreased_cfg.max_terms == 5 assert decreased_cfg.min_value == 1 assert decreased_cfg.max_value == 100 assert decreased_cfg.operators_weights == [0.4, 0.4, 0.2] # Test upper bound boundary condition for _ in range(10): curriculum.increment_attr_level("min_terms") curriculum.increment_attr_level("max_terms") curriculum.increment_attr_level("min_value") curriculum.increment_attr_level("max_value") curriculum.increment_attr_level("operators_weights") upper_bound_cfg: SimpleEquationsConfig = curriculum.generate_configuration(base_value) assert upper_bound_cfg.min_terms == 5 assert upper_bound_cfg.max_terms == 20 assert upper_bound_cfg.min_value == 1000 assert upper_bound_cfg.max_value == 100000000 assert upper_bound_cfg.operators_weights == [0.2, 0.2, 0.6] # Test lower bound boundary condition for _ in range(10): curriculum.decrement_attr_level("min_terms") curriculum.decrement_attr_level("max_terms") curriculum.decrement_attr_level("min_value") curriculum.decrement_attr_level("max_value") curriculum.decrement_attr_level("operators_weights") lower_bound_cfg: SimpleEquationsConfig = curriculum.generate_configuration(base_value) assert lower_bound_cfg.min_terms == 2 assert lower_bound_cfg.max_terms == 5 assert lower_bound_cfg.min_value == 1 assert lower_bound_cfg.max_value == 100 assert lower_bound_cfg.operators_weights == [0.4, 0.4, 0.2]