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+import pytest +import pandas as pd +import numpy as np + + +@pytest.fixture +def temp_dir() -> Generator[Path, None, None]: + """Create a temporary directory for tests.""" + with tempfile.TemporaryDirectory() as tmp_dir: + yield Path(tmp_dir) + + +@pytest.fixture +def sample_data_dir(temp_dir: Path) -> Path: + """Create a temporary directory with sample data files.""" + data_dir = temp_dir / "data" + data_dir.mkdir() + + # Create sample JSONL file + sample_jsonl = data_dir / "sample.jsonl" + with open(sample_jsonl, 'w') as f: + f.write('{"task_id": "test_1", "prompt": "def hello():", "completion": "print(\\"Hello\\")"}\n') + f.write('{"task_id": "test_2", "prompt": "def add(a, b):", "completion": "return a + b"}\n') + + return data_dir + + +@pytest.fixture +def sample_dataframe() -> pd.DataFrame: + """Create a sample pandas DataFrame for testing.""" + return pd.DataFrame({ + 'task_id': ['test_1', 'test_2', 'test_3'], + 'prompt': ['def hello():', 'def add(a, b):', 'def multiply(x, y):'], + 'completion': ['print("Hello")', 'return a + b', 'return x * y'], + 'score': [0.8, 0.9, 0.7] + }) + + +@pytest.fixture +def sample_numpy_array() -> np.ndarray: + """Create a sample numpy array for testing.""" + return np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + + +@pytest.fixture +def mock_model() -> Mock: + """Create a mock ML model for testing.""" + model = Mock() + model.predict.return_value = np.array([0.8, 0.9, 0.7]) + model.fit.return_value = model + return model + + +@pytest.fixture +def mock_tokenizer() -> Mock: + """Create a mock tokenizer for testing.""" + tokenizer = Mock() + tokenizer.encode.return_value = [101, 7592, 102] + tokenizer.decode.return_value = "Hello World" + tokenizer.vocab_size = 30522 + return tokenizer + + +@pytest.fixture +def sample_config() -> Dict[str, Any]: + """Create a sample configuration dictionary.""" + return { + 'model_name': 'test_model', + 'batch_size': 16, + 'max_length': 512, + 'temperature': 0.7, + 'top_p': 0.9, + 'device': 'cpu', + 'seed': 42 + } + + +@pytest.fixture +def mock_evaluation_result() -> Dict[str, Any]: + """Create a mock evaluation result.""" + return { + 'pass_at_1': 0.75, + 'pass_at_10': 0.85, + 'total_samples': 100, + 'passed_samples': 75, + 'timeout_samples': 5, + 'error_samples': 20 + } + + +@pytest.fixture +def sample_code_snippets() -> Dict[str, str]: + """Create sample code snippets for testing.""" + return { + 'python_function': ''' +def fibonacci(n): + if n <= 1: + return n + return fibonacci(n-1) + fibonacci(n-2) + '''.strip(), + + 'python_class': ''' +class Calculator: + def add(self, a, b): + return a + b + + def multiply(self, a, b): + return a * b + '''.strip(), + + 'java_function': ''' +public int factorial(int n) { + if (n <= 1) return 1; + return n * factorial(n - 1); +} + '''.strip(), + + 'cpp_function': ''' +#include +int main() { + std::cout << "Hello World!" << std::endl; + return 0; +} + '''.strip() + } + + +@pytest.fixture +def mock_dataset() -> Mock: + """Create a mock dataset for testing.""" + dataset = Mock() + dataset.__len__ = Mock(return_value=100) + dataset.__getitem__ = Mock(side_effect=lambda i: { + 'task_id': f'test_{i}', + 'prompt': f'def function_{i}():', + 'completion': f'return {i}' + }) + return dataset + + +@pytest.fixture +def mock_metrics() -> Mock: + """Create mock metrics for testing.""" + metrics = Mock() + metrics.compute.return_value = { + 'accuracy': 0.85, + 'precision': 0.82, + 'recall': 0.88, + 'f1': 0.85 + } + return metrics + + +@pytest.fixture +def sample_jsonl_content() -> str: + """Create sample JSONL content for testing.""" + return '''{"task_id": "HumanEval/0", "prompt": "def has_close_elements(numbers, threshold):\\n", "completion": " for i in range(len(numbers)):\\n for j in range(i+1, len(numbers)):\\n if abs(numbers[i] - numbers[j]) < threshold:\\n return True\\n return False"} +{"task_id": "HumanEval/1", "prompt": "def separate_paren_groups(paren_string):\\n", "completion": " result = []\\n current_string = ''\\n current_depth = 0\\n for c in paren_string:\\n if c == '(':\\n current_depth += 1\\n current_string += c\\n elif c == ')':\\n current_depth -= 1\\n current_string += c\\n if current_depth == 0:\\n result.append(current_string)\\n current_string = ''\\n return result"}''' + + +@pytest.fixture +def mock_file_system(temp_dir: Path) -> Dict[str, Path]: + """Create a mock file system structure for testing.""" + structure = {} + + # Create directories + dirs = ['data', 'models', 'outputs', 'configs'] + for dir_name in dirs: + dir_path = temp_dir / dir_name + dir_path.mkdir() + structure[dir_name] = dir_path + + # Create sample files + files = { + 'config.json': '{"model": "test", "temperature": 0.7}', + 'sample.py': 'def hello(): print("Hello World")', + 'requirements.txt': 'pytest\\nnumpy\\npandas' + } + + for file_name, content in files.items(): + file_path = temp_dir / file_name + file_path.write_text(content) + structure[file_name] = file_path + + return structure + + +@pytest.fixture(autouse=True) +def cleanup_env(): + """Automatically cleanup environment variables after each test.""" + original_env = os.environ.copy() + yield + + # Restore original environment + os.environ.clear() + os.environ.update(original_env) + + +@pytest.fixture +def mock_torch_model() -> Mock: + """Create a mock PyTorch model for testing.""" + model = Mock() + model.eval = Mock(return_value=model) + model.train = Mock(return_value=model) + model.forward = Mock(return_value=Mock(logits=Mock(shape=(1, 10)))) + model.parameters = Mock(return_value=iter([Mock(shape=(10, 5))])) + return model + + +@pytest.fixture +def mock_huggingface_model() -> Mock: + """Create a mock HuggingFace model for testing.""" + model = Mock() + model.generate.return_value = Mock(sequences=[[101, 7592, 102]]) + model.config = Mock(vocab_size=30522, max_length=512) + return model + + +# Markers for different test categories +pytestmark = [ + pytest.mark.filterwarnings("ignore::DeprecationWarning"), + pytest.mark.filterwarnings("ignore::PendingDeprecationWarning") +] \ 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_validation.py b/tests/test_infrastructure_validation.py new file mode 100644 index 0000000..3f4cba2 --- /dev/null +++ b/tests/test_infrastructure_validation.py @@ -0,0 +1,156 @@ +""" +Validation tests to ensure the testing infrastructure is working correctly. +These tests verify that pytest, coverage, and fixtures are properly configured. +""" + +import pytest +import os +import pandas as pd +import numpy as np +from pathlib import Path + + +class TestInfrastructureValidation: + """Test class to validate testing infrastructure setup.""" + + def test_pytest_working(self): + """Test that pytest is working correctly.""" + assert True + + def test_fixtures_available(self, temp_dir, sample_dataframe, sample_config): + """Test that common fixtures are available and working.""" + # Test temp_dir fixture + assert isinstance(temp_dir, Path) + assert temp_dir.exists() + + # Test sample_dataframe fixture + assert isinstance(sample_dataframe, pd.DataFrame) + assert len(sample_dataframe) == 3 + assert 'task_id' in sample_dataframe.columns + + # Test sample_config fixture + assert isinstance(sample_config, dict) + assert 'model_name' in sample_config + assert sample_config['model_name'] == 'test_model' + + def test_numpy_available(self, sample_numpy_array): + """Test that numpy is available and fixtures work.""" + assert isinstance(sample_numpy_array, np.ndarray) + assert sample_numpy_array.shape == (3, 3) + + def test_mock_functionality(self, mock_model, mock_tokenizer): + """Test that mock fixtures are working.""" + # Test mock model + predictions = mock_model.predict([1, 2, 3]) + assert len(predictions) == 3 + + # Test mock tokenizer + tokens = mock_tokenizer.encode("test") + assert tokens == [101, 7592, 102] + + decoded = mock_tokenizer.decode([101, 7592, 102]) + assert decoded == "Hello World" + + def test_file_operations(self, temp_dir): + """Test file operations in temporary directory.""" + test_file = temp_dir / "test.txt" + test_file.write_text("Hello Testing") + + assert test_file.exists() + assert test_file.read_text() == "Hello Testing" + + @pytest.mark.unit + def test_unit_marker(self): + """Test that unit marker is working.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Test that integration marker is working.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Test that slow marker is working.""" + assert True + + def test_sample_data_fixture(self, sample_data_dir): + """Test that sample data fixture creates proper structure.""" + assert sample_data_dir.exists() + assert sample_data_dir.is_dir() + + jsonl_file = sample_data_dir / "sample.jsonl" + assert jsonl_file.exists() + + content = jsonl_file.read_text() + lines = content.strip().split('\n') + assert len(lines) == 2 + assert 'task_id' in lines[0] + + def test_code_snippets_fixture(self, sample_code_snippets): + """Test that code snippets fixture provides various languages.""" + assert 'python_function' in sample_code_snippets + assert 'java_function' in sample_code_snippets + assert 'cpp_function' in sample_code_snippets + + python_code = sample_code_snippets['python_function'] + assert 'def fibonacci' in python_code + + def test_environment_cleanup(self, cleanup_env): + """Test that environment cleanup fixture works.""" + # Set a test environment variable + os.environ['TEST_VAR'] = 'test_value' + assert os.environ.get('TEST_VAR') == 'test_value' + + # After test completion, cleanup_env should restore the environment + # This is tested implicitly by the fixture + + +class TestCoverageValidation: + """Test class to validate coverage configuration.""" + + def test_coverage_includes_main_modules(self): + """Test that our main modules are included in coverage.""" + # This test mainly exists to be counted in coverage + from pathlib import Path + + # Check that main project directories exist + project_root = Path(__file__).parent.parent + codefuse_eval = project_root / "codefuseEval" + codefuse_eval_2023 = project_root / "codefuseEval_202503" + + # These may not exist yet, but the paths should be valid + assert isinstance(codefuse_eval, Path) + assert isinstance(codefuse_eval_2023, Path) + + def test_function_with_multiple_branches(self): + """Test function with multiple code paths for coverage testing.""" + def sample_function(value): + if value > 10: + return "high" + elif value > 5: + return "medium" + else: + return "low" + + # Test all branches + assert sample_function(15) == "high" + assert sample_function(8) == "medium" + assert sample_function(3) == "low" + + def test_exception_handling(self): + """Test exception handling for coverage.""" + def risky_function(divide_by_zero=False): + try: + if divide_by_zero: + return 1 / 0 + return "success" + except ZeroDivisionError: + return "error" + + assert risky_function(False) == "success" + assert risky_function(True) == "error" + + +if __name__ == "__main__": + pytest.main([__file__]) \ 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