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and text generation" +authors = ["Your Name "] +readme = "README.md" +packages = [{include = "chatbot"}, {include = "embeddings"}, {include = "machine_translation"}, {include = "pos_tagging"}, {include = "sentiment_analysis"}, {include = "text_generation"}] + +[tool.poetry.dependencies] +python = "^3.8" +tensorflow = "^2.13.0" +torch = "^2.0.0" +numpy = "^1.24.0" +pyyaml = "^6.0" +requests = "^2.31.0" + +[tool.poetry.group.test.dependencies] +pytest = "^7.4.0" +pytest-cov = "^4.1.0" +pytest-mock = "^3.11.0" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +testpaths = ["tests"] +python_files = ["test_*.py", "*_test.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] +addopts = [ + "--strict-markers", + "--strict-config", + "--verbose", + "--cov=chatbot", + "--cov=embeddings", + "--cov=machine_translation", + "--cov=pos_tagging", + "--cov=sentiment_analysis", + "--cov=text_generation", + "--cov-report=term-missing", + "--cov-report=html:htmlcov", + "--cov-report=xml:coverage.xml", + "--cov-fail-under=80" +] +markers = [ + "unit: Unit tests", + "integration: Integration tests", + "slow: Tests that take a long time to run" +] + +[tool.coverage.run] +source = ["chatbot", "embeddings", "machine_translation", "pos_tagging", "sentiment_analysis", "text_generation"] +omit = [ + "*/tests/*", + "*/test_*.py", + "*_test.py", + "*/conftest.py", + "*/__pycache__/*", + "*/tf1/*", + "*.txt" +] + +[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__.:" +] +show_missing = true +skip_covered = false + +[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..4eeab7c --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,156 @@ +import pytest +import tempfile +import shutil +import os +from pathlib import Path +import numpy as np +import tensorflow as tf +import torch + + +@pytest.fixture +def temp_dir(): + """Create a temporary directory for tests.""" + temp_dir = tempfile.mkdtemp() + yield temp_dir + shutil.rmtree(temp_dir) + + +@pytest.fixture +def sample_config(): + """Provide a sample configuration dictionary for testing.""" + return { + 'MODEL_SIZE': 512, + 'NUM_LAYERS': 6, + 'H': 8, + 'BATCH_SIZE': 32, + 'VOCAB_SIZE': 10000, + 'MAX_LENGTH': 128 + } + + +@pytest.fixture +def sample_text_data(): + """Provide sample text data for testing.""" + return [ + "Hello, how are you today?", + "I am doing well, thank you.", + "What is the weather like?", + "It's sunny and warm outside.", + "Would you like to go for a walk?" + ] + + +@pytest.fixture +def sample_numpy_array(): + """Provide a sample numpy array for testing.""" + return np.random.rand(10, 5) + + +@pytest.fixture +def sample_tensorflow_tensor(): + """Provide a sample TensorFlow tensor for testing.""" + return tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.float32) + + +@pytest.fixture +def sample_torch_tensor(): + """Provide a sample PyTorch tensor for testing.""" + return torch.tensor([[1, 2, 3], [4, 5, 6]], dtype=torch.float32) + + +@pytest.fixture +def mock_model_config(): + """Mock model configuration for testing.""" + return { + 'embedding_size': 128, + 'hidden_size': 256, + 'num_layers': 2, + 'dropout_rate': 0.1, + 'learning_rate': 0.001 + } + + +@pytest.fixture +def sample_dataset_info(): + """Sample dataset information for testing.""" + return { + 'vocab_size': 5000, + 'max_length': 50, + 'data_size': 1000, + 'num_classes': 2 + } + + +@pytest.fixture +def temp_checkpoint_dir(temp_dir): + """Create a temporary checkpoint directory.""" + checkpoint_dir = os.path.join(temp_dir, 'checkpoints') + os.makedirs(checkpoint_dir, exist_ok=True) + return checkpoint_dir + + +@pytest.fixture +def sample_yaml_config(temp_dir): + """Create a sample YAML config file for testing.""" + config_path = os.path.join(temp_dir, 'config.yml') + config_content = """ +MODEL_SIZE: 512 +NUM_LAYERS: 6 +H: 8 +BATCH_SIZE: 32 +""" + with open(config_path, 'w') as f: + f.write(config_content) + return config_path + + +@pytest.fixture +def sample_text_file(temp_dir): + """Create a sample text file for testing.""" + file_path = os.path.join(temp_dir, 'sample.txt') + content = "This is a sample text file for testing purposes.\n" + content += "It contains multiple lines of text.\n" + content += "Each line can be used for different test scenarios.\n" + + with open(file_path, 'w') as f: + f.write(content) + return file_path + + +@pytest.fixture(autouse=True) +def reset_random_seeds(): + """Reset random seeds before each test for reproducibility.""" + np.random.seed(42) + tf.random.set_seed(42) + torch.manual_seed(42) + + +@pytest.fixture +def mock_tokenizer(): + """Mock tokenizer for testing.""" + class MockTokenizer: + def __init__(self): + self.vocab_size = 1000 + + def encode(self, text): + return [1, 2, 3, 4, 5] # Mock encoding + + def decode(self, tokens): + return "mock decoded text" + + return MockTokenizer() + + +@pytest.fixture +def small_batch_data(): + """Provide small batch of data for testing.""" + batch_size = 4 + sequence_length = 10 + vocab_size = 100 + + return { + 'input_ids': np.random.randint(0, vocab_size, (batch_size, sequence_length)), + 'attention_mask': np.ones((batch_size, sequence_length)), + 'labels': np.random.randint(0, 2, (batch_size,)) + } \ 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..b5c0d33 --- /dev/null +++ b/tests/test_infrastructure.py @@ -0,0 +1,183 @@ +""" +Validation tests to ensure the testing infrastructure is working correctly. +These tests verify that pytest, fixtures, and testing tools are properly configured. +""" +import pytest +import tempfile +import os +from pathlib import Path +import numpy as np +import tensorflow as tf +import torch + + +def test_basic_functionality(): + """Test basic pytest functionality.""" + assert 1 + 1 == 2 + assert "hello" == "hello" + assert [1, 2, 3] == [1, 2, 3] + + +def test_fixtures_available(temp_dir, sample_config): + """Test that fixtures from conftest.py are available.""" + # Test temp_dir fixture + assert os.path.exists(temp_dir) + assert os.path.isdir(temp_dir) + + # Test sample_config fixture + assert isinstance(sample_config, dict) + assert 'MODEL_SIZE' in sample_config + assert sample_config['MODEL_SIZE'] == 512 + + +def test_numpy_functionality(sample_numpy_array): + """Test numpy functionality and fixture.""" + assert isinstance(sample_numpy_array, np.ndarray) + assert sample_numpy_array.shape == (10, 5) + + # Test basic numpy operations + mean_val = np.mean(sample_numpy_array) + assert isinstance(mean_val, (float, np.floating)) + + +def test_tensorflow_functionality(sample_tensorflow_tensor): + """Test TensorFlow functionality and fixture.""" + assert isinstance(sample_tensorflow_tensor, tf.Tensor) + assert sample_tensorflow_tensor.shape == (2, 3) + + # Test basic TensorFlow operations + result = tf.reduce_sum(sample_tensorflow_tensor) + assert isinstance(result.numpy(), (int, float, np.number)) + + +def test_pytorch_functionality(sample_torch_tensor): + """Test PyTorch functionality and fixture.""" + assert isinstance(sample_torch_tensor, torch.Tensor) + assert sample_torch_tensor.shape == (2, 3) + + # Test basic PyTorch operations + result = torch.sum(sample_torch_tensor) + assert isinstance(result.item(), (int, float)) + + +def test_mock_tokenizer(mock_tokenizer): + """Test mock tokenizer fixture.""" + assert hasattr(mock_tokenizer, 'vocab_size') + assert hasattr(mock_tokenizer, 'encode') + assert hasattr(mock_tokenizer, 'decode') + + # Test tokenizer methods + encoded = mock_tokenizer.encode("test text") + assert isinstance(encoded, list) + + decoded = mock_tokenizer.decode([1, 2, 3]) + assert isinstance(decoded, str) + + +def test_temp_file_creation(temp_dir): + """Test creating and working with temporary files.""" + test_file = os.path.join(temp_dir, 'test.txt') + + # Write to file + with open(test_file, 'w') as f: + f.write("Test content") + + # Read from file + with open(test_file, 'r') as f: + content = f.read() + + assert content == "Test content" + assert os.path.exists(test_file) + + +@pytest.mark.unit +def test_unit_marker(): + """Test that unit marker is available.""" + assert True + + +@pytest.mark.integration +def test_integration_marker(): + """Test that integration marker is available.""" + assert True + + +@pytest.mark.slow +def test_slow_marker(): + """Test that slow marker is available.""" + assert True + + +def test_sample_data_fixtures(sample_text_data, sample_dataset_info, small_batch_data): + """Test various sample data fixtures.""" + # Test text data + assert isinstance(sample_text_data, list) + assert len(sample_text_data) > 0 + assert all(isinstance(text, str) for text in sample_text_data) + + # Test dataset info + assert isinstance(sample_dataset_info, dict) + assert 'vocab_size' in sample_dataset_info + assert 'max_length' in sample_dataset_info + + # Test batch data + assert isinstance(small_batch_data, dict) + assert 'input_ids' in small_batch_data + assert 'labels' in small_batch_data + + +def test_random_seed_consistency(): + """Test that random seeds are properly set for reproducibility.""" + # Test numpy + np.random.seed(42) + val1 = np.random.random() + np.random.seed(42) + val2 = np.random.random() + assert val1 == val2 + + # Test torch + torch.manual_seed(42) + tensor1 = torch.rand(3) + torch.manual_seed(42) + tensor2 = torch.rand(3) + assert torch.equal(tensor1, tensor2) + + +def test_pytest_configuration(): + """Test that pytest is properly configured.""" + # This test ensures pytest is running with the expected configuration + assert pytest.__version__ is not None + + # Verify we can use pytest features + with pytest.raises(ValueError): + raise ValueError("Test exception handling") + + +class TestBasicClass: + """Test class-based testing works.""" + + def test_class_method(self): + """Test method within a test class.""" + assert hasattr(self, '__class__') + assert self.__class__.__name__ == 'TestBasicClass' + + def test_class_with_fixture(self, sample_config): + """Test that fixtures work within test classes.""" + assert isinstance(sample_config, dict) + + +def test_coverage_tracking(): + """Test that coverage tracking would work for actual modules.""" + # This test doesn't actually test coverage, but ensures the infrastructure + # is in place to track coverage when real modules are tested + + def dummy_function(x): + if x > 0: + return x * 2 + else: + return 0 + + # Test both branches for coverage + assert dummy_function(5) == 10 + assert dummy_function(-1) == 0 + assert dummy_function(0) == 0 \ 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