Exception Binding

Your example usage is clear, but you might want to add logging or error handling to make it more robust. ```python try: document = {'title': 'Example Document', 'author': 'John Doe'} metadata = extract_metadata(document) normal…

futures = {executor.submit(vectorize_document, doc): doc for doc in docs} for future in as_completed(futures): try: vectors.append(future.result()) except Exception as e: …

# Validate input dimensions if sparse_scores.shape != dense_scores.shape: raise ValueError("Mismatched dimensions between sparse and dense scores") # Normalize scores to ensure they are on the same scale…

```python import spacy # Load the SpaCy model nlp = spacy.load("en_core_web_sm") # Define a function to tokenize text def tokenize_text(text): try: doc = nlp(text) tokens = [token.text for token in doc] return …

6. **RuntimeError**: Raised when an error is detected that doesn't fall in any of the other categories. - **Example**: An unexpected condition that disrupts the normal flow of the program. - **Handling**: Use general exception handlin…