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NotImplementedError", + "if __name__ == .__main__.:", + "if TYPE_CHECKING:", + "class .*\\bProtocol\\):", + "@(abc\\.)?abstractmethod" +] +precision = 2 +show_missing = true +skip_covered = false +fail_under = 80 + +[tool.coverage.html] +directory = "htmlcov" + +[tool.coverage.xml] +output = "coverage.xml" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" \ No newline at end of file diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..d3eb440 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,133 @@ +"""Shared pytest fixtures and configuration for all tests.""" +import os +import tempfile +import shutil +from pathlib import Path +from typing import Generator, Dict, Any +import pytest +import torch +import numpy as np + + +@pytest.fixture +def temp_dir() -> Generator[Path, None, None]: + """Create a temporary directory for test files.""" + temp_path = tempfile.mkdtemp() + yield Path(temp_path) + shutil.rmtree(temp_path) + + +@pytest.fixture +def mock_model_config() -> Dict[str, Any]: + """Provide a mock model configuration for testing.""" + return { + 'model_name': 'test_model', + 'resolution': 256, + 'latent_dim': 512, + 'num_layers': 8, + 'device': 'cpu' + } + + +@pytest.fixture +def sample_latent_codes() -> torch.Tensor: + """Generate sample latent codes for testing.""" + batch_size = 4 + latent_dim = 512 + return torch.randn(batch_size, latent_dim) + + +@pytest.fixture +def sample_numpy_array() -> np.ndarray: + """Generate a sample numpy array for testing.""" + return np.random.randn(10, 512).astype(np.float32) + + +@pytest.fixture +def mock_generator_output() -> torch.Tensor: + """Mock output from a generator model.""" + batch_size = 4 + channels = 3 + height = width = 256 + return torch.randn(batch_size, channels, height, width) + + +@pytest.fixture +def device() -> torch.device: + """Get the appropriate device for testing (CPU by default).""" + return torch.device('cpu') + + +@pytest.fixture +def test_data_dir(tmp_path: Path) -> Path: + """Create a temporary data directory with test files.""" + data_dir = tmp_path / "test_data" + data_dir.mkdir() + + # Create some sample files + (data_dir / "latents.npy").touch() + (data_dir / "config.json").touch() + + return data_dir + + +@pytest.fixture(autouse=True) +def reset_torch_seed(): + """Reset random seeds before each test for reproducibility.""" + torch.manual_seed(42) + np.random.seed(42) + if torch.cuda.is_available(): + torch.cuda.manual_seed_all(42) + + +@pytest.fixture +def mock_streamlit_session(): + """Mock Streamlit session state for interface testing.""" + class MockSessionState: + def __init__(self): + self.model = None + self.latent_codes = None + self.boundaries = {} + self.current_step = 0 + + return MockSessionState() + + +@pytest.fixture(scope="session") +def test_models_dir() -> Path: + """Get the models directory path.""" + return Path(__file__).parent.parent / "models" + + +@pytest.fixture +def cleanup_cuda(): + """Cleanup CUDA memory after tests.""" + yield + if torch.cuda.is_available(): + torch.cuda.empty_cache() + + +def pytest_configure(config): + """Configure pytest with custom settings.""" + # Add custom markers + config.addinivalue_line( + "markers", "gpu: mark test to run only when GPU is available" + ) + config.addinivalue_line( + "markers", "requires_model: mark test that requires pre-trained model" + ) + + +def pytest_collection_modifyitems(config, items): + """Modify test collection to handle special cases.""" + for item in items: + # Skip GPU tests if no GPU available + if "gpu" in item.keywords and not torch.cuda.is_available(): + skip_gpu = pytest.mark.skip(reason="GPU not available") + item.add_marker(skip_gpu) + + +@pytest.fixture +def capture_stdout(capsys): + """Capture stdout for testing print statements.""" + yield capsys \ No newline at end of file diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_setup_validation.py b/tests/test_setup_validation.py new file mode 100644 index 0000000..c9dcc28 --- /dev/null +++ b/tests/test_setup_validation.py @@ -0,0 +1,149 @@ +"""Validation tests to ensure the testing infrastructure is properly configured.""" +import sys +from pathlib import Path +import pytest +import torch +import numpy as np + + +class TestSetupValidation: + """Validate that the testing infrastructure is properly set up.""" + + def test_pytest_is_installed(self): + """Verify pytest is installed and importable.""" + assert pytest.__version__ + + def test_project_root_in_path(self): + """Verify the project root is in Python path.""" + project_root = Path(__file__).parent.parent + assert str(project_root) in sys.path or str(project_root.absolute()) in sys.path + + def test_models_package_importable(self): + """Verify the models package can be imported.""" + try: + import models + assert models.__name__ == 'models' + except ImportError: + pytest.fail("Cannot import models package") + + def test_required_dependencies_available(self): + """Verify all required dependencies are available.""" + required_modules = { + 'torch': torch, + 'numpy': np, + 'pytest': pytest, + } + + for module_name, module in required_modules.items(): + assert module is not None, f"{module_name} is not available" + + @pytest.mark.unit + def test_unit_marker_works(self): + """Verify custom pytest markers work correctly.""" + assert True + + @pytest.mark.integration + def test_integration_marker_works(self): + """Verify integration marker works.""" + assert True + + @pytest.mark.slow + def test_slow_marker_works(self): + """Verify slow marker works.""" + assert True + + def test_temp_dir_fixture(self, temp_dir): + """Verify temp_dir fixture works correctly.""" + assert temp_dir.exists() + assert temp_dir.is_dir() + + # Create a test file + test_file = temp_dir / "test.txt" + test_file.write_text("test content") + assert test_file.exists() + + def test_mock_model_config_fixture(self, mock_model_config): + """Verify mock_model_config fixture provides expected structure.""" + assert isinstance(mock_model_config, dict) + assert 'model_name' in mock_model_config + assert 'resolution' in mock_model_config + assert 'latent_dim' in mock_model_config + assert mock_model_config['device'] == 'cpu' + + def test_sample_latent_codes_fixture(self, sample_latent_codes): + """Verify sample_latent_codes fixture provides correct tensor.""" + assert isinstance(sample_latent_codes, torch.Tensor) + assert sample_latent_codes.shape == (4, 512) + assert sample_latent_codes.dtype == torch.float32 + + def test_numpy_array_fixture(self, sample_numpy_array): + """Verify sample_numpy_array fixture works.""" + assert isinstance(sample_numpy_array, np.ndarray) + assert sample_numpy_array.shape == (10, 512) + assert sample_numpy_array.dtype == np.float32 + + def test_device_fixture(self, device): + """Verify device fixture returns CPU device.""" + assert isinstance(device, torch.device) + assert device.type == 'cpu' + + def test_coverage_configured(self): + """Verify coverage is properly configured.""" + # This test will pass if coverage is running + assert True + + def test_conftest_fixtures_available(self, mock_streamlit_session): + """Verify conftest fixtures are available.""" + assert hasattr(mock_streamlit_session, 'model') + assert hasattr(mock_streamlit_session, 'latent_codes') + assert hasattr(mock_streamlit_session, 'boundaries') + + def test_capture_stdout_fixture(self, capture_stdout): + """Verify stdout capture fixture works.""" + print("Test output") + captured = capture_stdout.readouterr() + assert "Test output" in captured.out + + +class TestDirectoryStructure: + """Validate the test directory structure.""" + + def test_tests_directory_exists(self): + """Verify tests directory exists.""" + tests_dir = Path(__file__).parent + assert tests_dir.name == 'tests' + assert tests_dir.exists() + + def test_unit_directory_exists(self): + """Verify unit tests directory exists.""" + unit_dir = Path(__file__).parent / 'unit' + assert unit_dir.exists() + assert unit_dir.is_dir() + + def test_integration_directory_exists(self): + """Verify integration tests directory exists.""" + integration_dir = Path(__file__).parent / 'integration' + assert integration_dir.exists() + assert integration_dir.is_dir() + + def test_conftest_exists(self): + """Verify conftest.py exists.""" + conftest_path = Path(__file__).parent / 'conftest.py' + assert conftest_path.exists() + assert conftest_path.is_file() + + def test_init_files_exist(self): + """Verify __init__.py files exist in test directories.""" + test_dirs = [ + Path(__file__).parent, + Path(__file__).parent / 'unit', + Path(__file__).parent / 'integration', + ] + + for test_dir in test_dirs: + init_file = test_dir / '__init__.py' + assert init_file.exists(), f"__init__.py missing in {test_dir}" + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) \ No newline at end of file diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 0000000..e69de29