Example usage

# Encrypt the data encryptor = cipher.encryptor() padder = padding.PKCS7(128).padder() padded_data = padder.update(data) + padder.finalize() encrypted_data = encryptor.update(padded_data) + encryptor.finalize() retu…

text = page.extract_text() logging.info(f"Extracted text from page {page_num + 1}: {text[:100]}...") except PyPDF2.utils.PdfReadError as e: logging.error(f"PDFReadError: {e} - Document: {document_…

return mean_precision, mean_recall, mean_f1, mean_ap def simulate_bm25_retrieval(query, documents): # Placeholder for actual BM25 retrieval logic # Return a subset of documents as retrieved documents return documents[:3] #…

#### Step 3: Query Routing System Integration Modify your query routing system to incorporate the pre-fetching logic. ```python def handle_query(query, user_id): # Check if the query is in the pre-fetched results if user_id in pre…

Cache the query result with an optional TTL (Time To Live). """ redis_client.setex(query, ttl, json.dumps(result)) def get_cached_query(query): """ Retrieve the cached query result. """ cached_result = redis_cli…

bleu_score = sentence_bleu([original.split()], reformulated.split()) bleu_scores.append(bleu_score) return sum(bleu_scores) / len(bleu_scores) # Example usage original_queries = ['What is the meaning of life?', 'How do …

return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs reformulated_outputs = [] for input_ in inputs: output = input…