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"pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + +[metadata] +lock-version = "2.1" +python-versions = "^3.8" +content-hash = "f51ee00fbb850076530b2b2ac5e4ff6ca819452b2961525af3d333b0e8d9c1b5" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..38b6141a --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,104 @@ +[tool.poetry] +name = "openood" +version = "1.5" +description = "This package provides a unified test platform for Out-of-Distribution detection." +authors = ["openood dev team "] +readme = "README.md" +homepage = "https://github.com/Jingkang50/OpenOOD" +repository = "https://github.com/Jingkang50/OpenOOD" +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: Apache Software License", + "Operating System :: OS Independent", +] +packages = [{include = "openood"}] + +[tool.poetry.dependencies] +python = "^3.8" +torch = ">=1.13.1" +torchvision = ">=0.13" +scikit-learn = "*" +json5 = "*" +matplotlib = "*" +scipy = "*" +tqdm = "*" +pyyaml = ">=5.4.1" +pre-commit = "*" +opencv-python = ">=4.4.0.46" +imgaug = ">=0.4.0" +pandas = "*" +diffdist = ">=0.1" +Cython = ">=0.29.30" +faiss-cpu = ">=1.7.2" +gdown = ">=4.7.1" + +[tool.poetry.group.dev.dependencies] +pytest = "^7.4.0" +pytest-cov = "^4.1.0" +pytest-mock = "^3.11.1" + +[tool.poetry.scripts] +test = "pytest:main" +tests = "pytest:main" + +[tool.pytest.ini_options] +minversion = "7.0" +testpaths = ["tests"] +python_files = ["test_*.py", "*_test.py"] +python_classes = ["Test*", "*Test"] +python_functions = ["test_*"] +addopts = [ + "-v", + "--strict-markers", + "--cov=openood", + "--cov-report=term-missing", + "--cov-report=html", + "--cov-report=xml", + "--cov-fail-under=0", # TODO: Set to 80 once tests are written +] +markers = [ + "unit: Unit tests", + "integration: Integration tests", + "slow: Slow running tests", +] +filterwarnings = [ + "ignore::DeprecationWarning", + "ignore::PendingDeprecationWarning", +] + +[tool.coverage.run] +source = ["openood"] +omit = [ + "*/tests/*", + "*/test_*.py", + "*/__init__.py", + "*/setup.py", + "*/venv/*", + "*/.venv/*", +] + +[tool.coverage.report] +exclude_lines = [ + "pragma: no cover", + "def __repr__", + "def __str__", + "raise AssertionError", + "raise NotImplementedError", + "if __name__ == .__main__.:", + "if TYPE_CHECKING:", + "class .*\\bProtocol\\):", + "@(abc\\.)?abstractmethod", +] +precision = 2 +show_missing = true +skip_covered = false + +[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 00000000..e69de29b diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 00000000..ecb37240 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,260 @@ +"""Shared pytest fixtures and configuration for OpenOOD tests.""" + +import tempfile +import shutil +from pathlib import Path +from typing import Dict, Any, List, Generator +import pytest +import torch +import numpy as np +import yaml +import json + + +@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_config() -> Dict[str, Any]: + """Provide a mock configuration dictionary for testing.""" + return { + "dataset": { + "name": "cifar10", + "data_dir": "/tmp/data", + "batch_size": 32, + "num_workers": 2, + }, + "network": { + "name": "resnet18", + "pretrained": False, + "num_classes": 10, + }, + "optimizer": { + "name": "sgd", + "lr": 0.1, + "momentum": 0.9, + "weight_decay": 5e-4, + }, + "scheduler": { + "name": "cosine", + "num_epochs": 100, + }, + "trainer": { + "name": "base", + "save_dir": "/tmp/checkpoints", + "save_epoch": 10, + }, + "evaluator": { + "name": "ood", + "save_output": True, + }, + } + + +@pytest.fixture +def sample_tensor() -> torch.Tensor: + """Provide a sample tensor for testing.""" + return torch.randn(4, 3, 32, 32) + + +@pytest.fixture +def sample_labels() -> torch.Tensor: + """Provide sample labels for testing.""" + return torch.randint(0, 10, (4,)) + + +@pytest.fixture +def sample_features() -> torch.Tensor: + """Provide sample feature vectors for testing.""" + return torch.randn(4, 512) + + +@pytest.fixture +def mock_model(): + """Provide a mock neural network model.""" + class MockModel(torch.nn.Module): + def __init__(self, num_classes=10): + super().__init__() + self.conv = torch.nn.Conv2d(3, 64, 3, padding=1) + self.pool = torch.nn.AdaptiveAvgPool2d(1) + self.fc = torch.nn.Linear(64, num_classes) + + def forward(self, x): + x = self.conv(x) + x = torch.nn.functional.relu(x) + x = self.pool(x) + x = x.view(x.size(0), -1) + return self.fc(x) + + return MockModel() + + +@pytest.fixture +def sample_dataset_config(temp_dir: Path) -> Dict[str, Any]: + """Create a sample dataset configuration.""" + data_dir = temp_dir / "data" + data_dir.mkdir(exist_ok=True) + + # Create mock image list files + train_list = data_dir / "train.txt" + val_list = data_dir / "val.txt" + test_list = data_dir / "test.txt" + + # Write sample image paths + for file_path, num_samples in [(train_list, 100), (val_list, 20), (test_list, 20)]: + with open(file_path, 'w') as f: + for i in range(num_samples): + f.write(f"image_{i}.jpg {i % 10}\n") + + return { + "data_dir": str(data_dir), + "train_list": str(train_list), + "val_list": str(val_list), + "test_list": str(test_list), + "num_classes": 10, + } + + +@pytest.fixture +def yaml_config_file(temp_dir: Path, mock_config: Dict[str, Any]) -> Path: + """Create a temporary YAML configuration file.""" + config_path = temp_dir / "config.yml" + with open(config_path, 'w') as f: + yaml.dump(mock_config, f) + return config_path + + +@pytest.fixture +def json_config_file(temp_dir: Path, mock_config: Dict[str, Any]) -> Path: + """Create a temporary JSON configuration file.""" + config_path = temp_dir / "config.json" + with open(config_path, 'w') as f: + json.dump(mock_config, f) + return config_path + + +@pytest.fixture +def mock_checkpoint(temp_dir: Path, mock_model) -> Path: + """Create a mock model checkpoint file.""" + checkpoint_path = temp_dir / "checkpoint.pth" + torch.save({ + 'epoch': 50, + 'model_state_dict': mock_model.state_dict(), + 'optimizer_state_dict': {}, + 'loss': 0.123, + }, checkpoint_path) + return checkpoint_path + + +@pytest.fixture +def sample_metrics() -> Dict[str, float]: + """Provide sample evaluation metrics.""" + return { + "accuracy": 0.95, + "auroc": 0.89, + "aupr_in": 0.91, + "aupr_out": 0.87, + "fpr95": 0.15, + } + + +@pytest.fixture +def mock_dataloader(sample_tensor: torch.Tensor, sample_labels: torch.Tensor): + """Create a mock dataloader for testing.""" + from torch.utils.data import TensorDataset, DataLoader + + dataset = TensorDataset(sample_tensor, sample_labels) + return DataLoader(dataset, batch_size=2, shuffle=False) + + +@pytest.fixture +def numpy_rng(): + """Provide a seeded numpy random number generator.""" + return np.random.RandomState(42) + + +@pytest.fixture +def torch_device(): + """Provide the appropriate torch device (CPU/GPU).""" + return torch.device("cuda" if torch.cuda.is_available() else "cpu") + + +@pytest.fixture(autouse=True) +def reset_torch_seed(): + """Reset torch random seed before each test.""" + torch.manual_seed(42) + if torch.cuda.is_available(): + torch.cuda.manual_seed_all(42) + + +@pytest.fixture +def sample_ood_scores() -> Dict[str, np.ndarray]: + """Provide sample OOD detection scores.""" + num_id = 100 + num_ood = 100 + + # Generate scores where ID samples have lower scores than OOD + id_scores = np.random.normal(0, 1, num_id) + ood_scores = np.random.normal(2, 1, num_ood) + + return { + "id_scores": id_scores, + "ood_scores": ood_scores, + "id_labels": np.zeros(num_id), + "ood_labels": np.ones(num_ood), + } + + +@pytest.fixture +def mock_logger(temp_dir: Path): + """Create a mock logger for testing.""" + import logging + + logger = logging.getLogger("test_logger") + logger.setLevel(logging.DEBUG) + + # Add file handler + log_file = temp_dir / "test.log" + handler = logging.FileHandler(log_file) + handler.setLevel(logging.DEBUG) + + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + handler.setFormatter(formatter) + logger.addHandler(handler) + + return logger + + +@pytest.fixture +def sample_transform(): + """Provide a sample image transformation pipeline.""" + from torchvision import transforms + + return transforms.Compose([ + transforms.Resize((32, 32)), + transforms.ToTensor(), + transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), + ]) + + +@pytest.fixture +def mock_args(): + """Provide mock command-line arguments.""" + class MockArgs: + config = "configs/test_config.yml" + dataset = "cifar10" + network = "resnet18" + batch_size = 32 + num_workers = 2 + gpu = "0" + seed = 42 + output_dir = "/tmp/output" + checkpoint = None + verbose = False + + return MockArgs() \ No newline at end of file diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_infrastructure_validation.py b/tests/test_infrastructure_validation.py new file mode 100644 index 00000000..38deec50 --- /dev/null +++ b/tests/test_infrastructure_validation.py @@ -0,0 +1,165 @@ +"""Validation tests to verify the testing infrastructure is properly set up.""" + +import pytest +import torch +import numpy as np +from pathlib import Path +import sys +import importlib + + +class TestInfrastructureSetup: + """Test class to validate the testing infrastructure.""" + + def test_pytest_installed(self): + """Verify pytest is installed and importable.""" + assert pytest.__version__ is not None + + def test_pytest_cov_installed(self): + """Verify pytest-cov is installed.""" + try: + import pytest_cov + assert pytest_cov is not None + except ImportError: + pytest.fail("pytest-cov is not installed") + + def test_pytest_mock_installed(self): + """Verify pytest-mock is installed.""" + try: + import pytest_mock + assert pytest_mock is not None + except ImportError: + pytest.fail("pytest-mock is not installed") + + def test_openood_importable(self): + """Verify the openood package can be imported.""" + try: + import openood + assert openood is not None + except ImportError: + pytest.fail("openood package cannot be imported") + + def test_fixtures_available(self, temp_dir, mock_config, sample_tensor): + """Verify that custom fixtures are available and working.""" + assert isinstance(temp_dir, Path) + assert temp_dir.exists() + + assert isinstance(mock_config, dict) + assert "dataset" in mock_config + assert "network" in mock_config + + assert isinstance(sample_tensor, torch.Tensor) + assert sample_tensor.shape == (4, 3, 32, 32) + + def test_markers_configured(self, request): + """Verify custom markers are properly configured.""" + markers = request.config.getini("markers") + assert any("unit:" in marker for marker in markers) + assert any("integration:" in marker for marker in markers) + assert any("slow:" in marker for marker in markers) + + @pytest.mark.unit + def test_unit_marker(self): + """Test that unit marker works.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Test that integration marker works.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Test that slow marker works.""" + assert True + + def test_temp_dir_cleanup(self, temp_dir): + """Verify temp_dir fixture creates and cleans up properly.""" + test_file = temp_dir / "test.txt" + test_file.write_text("test content") + assert test_file.exists() + # Cleanup will be verified after test completes + + def test_mock_model_fixture(self, mock_model, sample_tensor): + """Verify mock model fixture works correctly.""" + output = mock_model(sample_tensor) + assert output.shape == (4, 10) # batch_size=4, num_classes=10 + + def test_yaml_config_fixture(self, yaml_config_file): + """Verify YAML config file fixture works.""" + assert yaml_config_file.exists() + assert yaml_config_file.suffix == ".yml" + + import yaml + with open(yaml_config_file, 'r') as f: + config = yaml.safe_load(f) + assert isinstance(config, dict) + assert "dataset" in config + + def test_coverage_configured(self): + """Verify coverage is properly configured.""" + # This test will pass if coverage is running + assert True + + def test_torch_device_fixture(self, torch_device): + """Verify torch device fixture works.""" + assert isinstance(torch_device, torch.device) + assert torch_device.type in ["cpu", "cuda"] + + def test_numpy_rng_fixture(self, numpy_rng): + """Verify numpy RNG fixture provides consistent results.""" + value1 = numpy_rng.rand() + # Create a new RNG with same seed + rng2 = np.random.RandomState(42) + value2 = rng2.rand() + assert value1 == value2 + + def test_sample_ood_scores_fixture(self, sample_ood_scores): + """Verify OOD scores fixture provides proper data.""" + assert "id_scores" in sample_ood_scores + assert "ood_scores" in sample_ood_scores + assert len(sample_ood_scores["id_scores"]) == 100 + assert len(sample_ood_scores["ood_scores"]) == 100 + # OOD scores should generally be higher than ID scores + assert np.mean(sample_ood_scores["ood_scores"]) > np.mean(sample_ood_scores["id_scores"]) + + +class TestDirectoryStructure: + """Test that the directory structure is set up correctly.""" + + 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_file = Path(__file__).parent / "conftest.py" + assert conftest_file.exists() + assert conftest_file.is_file() + + def test_init_files_exist(self): + """Verify __init__.py files exist in test directories.""" + tests_dir = Path(__file__).parent + + for subdir in [".", "unit", "integration"]: + init_file = tests_dir / subdir / "__init__.py" + assert init_file.exists(), f"Missing __init__.py in {subdir}" + + +if __name__ == "__main__": + # Run validation tests + 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 00000000..e69de29b