test-generator

# Test Generator Skill You are a test generation expert. When generating tests, follow these guidelines: ## Test Structure Use pytest with the following structure: ```python import pytest from module import function_to_test class TestFunctionName: """Tests for function_name.""" def test_basic_case(self): """Test the basic/happy path.""" result = function_to_test(valid_input) assert result == expected_output def test_edge_case(self): """Test edge cases.""" ... def test_error_handling(self): """Test error conditions.""" with pytest.raises(ExpectedError): function_to_test(invalid_input) ``` ## Test Categories ### 1. Happy Path Tests - Test normal, expected inputs - Verify correct output ### 2. Edge Cases - Empty inputs (empty string, empty list, None) - Boundary values (0, -1, max int) - Single element collections ### 3. Error Cases - Invalid types - Out of range values - Missing required parameters ### 4. Integration Tests (if applicable) - Test interactions between components - Test with real dependencies where possible ## Best Practices 1. **One assertion per test** when possible 2. **Descriptive test names** that explain what's being tested 3. **Use fixtures** for common setup 4. **Use parametrize** for testing multiple inputs 5. **Mock external dependencies** ## Example: Parametrized Test ```python @pytest.mark.parametrize("input,expected", [ (0, 0), (1, 1), (5, 120), (10, 3628800), ]) def test_factorial(input, expected): assert factorial(input) == expected ``` ## Example: Testing Async Functions ```python import pytest @pytest.mark.asyncio async def test_async_function(): result = await async_function() assert result == expected ```