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b/pyproject.toml @@ -0,0 +1,89 @@ +[tool.poetry] +name = "dine-domain-adaptation" +version = "0.1.0" +description = "DINE: Domain Adaptation with Debiased Representation Learning" +authors = ["Your Name "] +readme = "README.md" +packages = [{include = "*.py", from = "."}] + +[tool.poetry.dependencies] +python = "^3.8" +torch = "^2.0.0" +torchvision = "^0.15.0" +numpy = "^1.21.0" +scipy = "^1.7.0" +scikit-learn = "^1.0.0" +tqdm = "^4.62.0" + +[tool.poetry.group.dev.dependencies] +pytest = "^7.4.0" +pytest-cov = "^4.1.0" +pytest-mock = "^3.11.0" + +[tool.poetry.scripts] +test = "pytest:main" +tests = "pytest:main" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +minversion = "6.0" +addopts = [ + "-ra", + "-q", + "--strict-markers", + "--strict-config", + "--cov=.", + "--cov-report=term-missing", + "--cov-report=html:htmlcov", + "--cov-report=xml", +] +testpaths = ["tests"] +python_files = ["test_*.py", "*_test.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] +markers = [ + "unit: marks tests as unit tests (deselect with '-m \"not unit\"')", + "integration: marks tests as integration tests (deselect with '-m \"not integration\"')", + "slow: marks tests as slow (deselect with '-m \"not slow\"')", +] + +[tool.coverage.run] +source = ["."] +omit = [ + "tests/*", + "*/tests/*", + "test_*", + "*_test.py", + "*/site-packages/*", + "*/.venv/*", + "*/venv/*", + "setup.py", + "conftest.py", +] +branch = true + +[tool.coverage.report] +exclude_lines = [ + "pragma: no cover", + "def __repr__", + "if self.debug:", + "if settings.DEBUG", + "raise AssertionError", + "raise NotImplementedError", + "if 0:", + "if __name__ == .__main__.:", + "class .*\\bProtocol\\):", + "@(abc\\.)?abstractmethod", +] +ignore_errors = true +show_missing = true +fail_under = 80 + +[tool.coverage.html] +directory = "htmlcov" + +[tool.coverage.xml] +output = "coverage.xml" \ 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..fd8309b --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,158 @@ +""" +Shared pytest fixtures for the DINE project test suite. + +This module provides common fixtures and test utilities that can be used +across all test modules in the project. +""" + +import os +import tempfile +import shutil +from pathlib import Path +from unittest.mock import Mock, MagicMock +import pytest +import torch +import numpy as np + + +@pytest.fixture +def temp_dir(): + """Create a temporary directory for test files.""" + temp_dir = tempfile.mkdtemp() + yield Path(temp_dir) + shutil.rmtree(temp_dir, ignore_errors=True) + + +@pytest.fixture +def sample_config(): + """Provide a sample configuration dictionary for testing.""" + return { + 'batch_size': 32, + 'learning_rate': 0.001, + 'epochs': 10, + 'resize_size': 256, + 'crop_size': 224, + 'num_classes': 65, + 'dataset': 'office-home' + } + + +@pytest.fixture +def mock_args(): + """Mock command line arguments for testing.""" + args = Mock() + args.dset = 'office-home' + args.s_dset_path = './data/office-home/Art_list.txt' + args.t_dset_path = './data/office-home/Clipart_list.txt' + args.output_dir = './output' + args.gpu_id = '0' + args.net = 'resnet50' + args.seed = 2020 + args.max_epoch = 50 + args.batch_size = 36 + args.lr = 1e-2 + args.alpha = 0.3 + args.bottleneck_dim = 256 + args.epsilon = 1e-5 + args.layer = 'wn' + args.classifier = 'bn' + args.distance = 'cosine' + args.threshold = 10 + args.smooth = 0.1 + return args + + +@pytest.fixture +def sample_tensor(): + """Provide a sample tensor for testing.""" + return torch.randn(10, 3, 224, 224) + + +@pytest.fixture +def sample_labels(): + """Provide sample labels for testing.""" + return torch.randint(0, 65, (10,)) + + +@pytest.fixture +def mock_dataloader(): + """Mock PyTorch DataLoader for testing.""" + mock_loader = Mock() + mock_loader.__iter__ = Mock(return_value=iter([ + (torch.randn(4, 3, 224, 224), torch.randint(0, 65, (4,))) + for _ in range(3) + ])) + mock_loader.__len__ = Mock(return_value=3) + return mock_loader + + +@pytest.fixture +def mock_model(): + """Mock PyTorch model for testing.""" + model = Mock() + model.eval = Mock() + model.train = Mock() + model.parameters = Mock(return_value=[torch.randn(10, 10, requires_grad=True)]) + model.state_dict = Mock(return_value={'layer.weight': torch.randn(10, 10)}) + model.load_state_dict = Mock() + return model + + +@pytest.fixture +def sample_image_list_file(temp_dir): + """Create a sample image list file for testing.""" + image_list_file = temp_dir / "sample_list.txt" + with open(image_list_file, 'w') as f: + f.write("image1.jpg 0\n") + f.write("image2.jpg 1\n") + f.write("image3.jpg 2\n") + return image_list_file + + +@pytest.fixture +def mock_numpy_array(): + """Provide a mock numpy array for testing.""" + return np.random.randn(100, 256) + + +@pytest.fixture +def setup_test_environment(temp_dir, monkeypatch): + """Setup test environment with temporary directories and environment variables.""" + # Create necessary directories + data_dir = temp_dir / "data" + output_dir = temp_dir / "output" + data_dir.mkdir() + output_dir.mkdir() + + # Set environment variables + monkeypatch.setenv("CUDA_VISIBLE_DEVICES", "0") + + return { + 'data_dir': data_dir, + 'output_dir': output_dir, + 'temp_dir': temp_dir + } + + +@pytest.fixture(autouse=True) +def set_deterministic_behavior(): + """Set deterministic behavior for reproducible tests.""" + torch.manual_seed(42) + np.random.seed(42) + if torch.cuda.is_available(): + torch.cuda.manual_seed(42) + torch.cuda.manual_seed_all(42) + + # Ensure deterministic behavior + torch.backends.cudnn.deterministic = True + torch.backends.cudnn.benchmark = False + + +@pytest.fixture +def mock_optimizer(): + """Mock PyTorch optimizer for testing.""" + optimizer = Mock() + optimizer.param_groups = [{'lr': 0.01, 'lr0': 0.01}] + optimizer.zero_grad = Mock() + optimizer.step = Mock() + return optimizer \ 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_infrastructure.py b/tests/test_infrastructure.py new file mode 100644 index 0000000..17d7b23 --- /dev/null +++ b/tests/test_infrastructure.py @@ -0,0 +1,115 @@ +""" +Infrastructure validation tests. + +These tests verify that the testing infrastructure is properly configured +and all necessary dependencies are available. +""" + +import pytest +import torch +import numpy as np +import sklearn +import scipy +from pathlib import Path + + +class TestInfrastructure: + """Test the testing infrastructure setup.""" + + def test_pytorch_available(self): + """Test that PyTorch is available and working.""" + tensor = torch.tensor([1, 2, 3]) + assert tensor.sum().item() == 6 + + def test_numpy_available(self): + """Test that NumPy is available and working.""" + array = np.array([1, 2, 3]) + assert np.sum(array) == 6 + + def test_sklearn_available(self): + """Test that scikit-learn is available.""" + from sklearn.metrics import accuracy_score + y_true = [1, 1, 0, 0] + y_pred = [1, 1, 0, 0] + assert accuracy_score(y_true, y_pred) == 1.0 + + def test_scipy_available(self): + """Test that SciPy is available.""" + from scipy.spatial.distance import cdist + import numpy as np + + x = np.array([[1, 2], [3, 4]]) + y = np.array([[5, 6], [7, 8]]) + distances = cdist(x, y) + assert distances.shape == (2, 2) + + @pytest.mark.unit + def test_unit_marker(self): + """Test that unit test marker works.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Test that integration test marker works.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Test that slow test marker works.""" + assert True + + def test_fixtures_available(self, temp_dir, sample_config, mock_args): + """Test that custom fixtures are available and working.""" + # Test temp_dir fixture + assert temp_dir.exists() + assert temp_dir.is_dir() + + # Test sample_config fixture + assert isinstance(sample_config, dict) + assert 'batch_size' in sample_config + + # Test mock_args fixture + assert hasattr(mock_args, 'dset') + assert mock_args.dset == 'office-home' + + def test_project_structure(self): + """Test that the project has the expected structure.""" + project_root = Path(__file__).parent.parent + + # Check main Python files exist + assert (project_root / "DINE_dist.py").exists() + assert (project_root / "DINE_ft.py").exists() + assert (project_root / "network.py").exists() + assert (project_root / "loss.py").exists() + assert (project_root / "data_list.py").exists() + + # Check pyproject.toml exists + assert (project_root / "pyproject.toml").exists() + + # Check test structure + tests_dir = project_root / "tests" + assert tests_dir.exists() + assert (tests_dir / "__init__.py").exists() + assert (tests_dir / "conftest.py").exists() + assert (tests_dir / "unit" / "__init__.py").exists() + assert (tests_dir / "integration" / "__init__.py").exists() + + def test_deterministic_behavior(self): + """Test that deterministic behavior is set for reproducible tests.""" + # Test torch deterministic behavior + torch.manual_seed(42) + tensor1 = torch.randn(5) + + torch.manual_seed(42) + tensor2 = torch.randn(5) + + assert torch.allclose(tensor1, tensor2) + + # Test numpy deterministic behavior + np.random.seed(42) + array1 = np.random.randn(5) + + np.random.seed(42) + array2 = np.random.randn(5) + + assert np.allclose(array1, array2) \ 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