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print(f"Result from {library_name}: {result}") except ImportError as e: logging.error(f"Import error for {library_name}: {e}") except AttributeError as e: logging.error(f"Attribute error for {library…

encrypted_data = encrypt_data(key, data) print(f"Encrypted data: {encrypted_data.hex()}") # Decrypt the data try: decrypted_data = decrypt_data(key, encrypted_data) print(f"Decrypted data: {decrypted_data.decode()}") except Excepti…

[2025-03-19 16:32] ajaxdavis: - make a tool that is recursive that keeps asking for more data then what the tool already has, to try map out what the autons will actually give you [2025-03-19 16:42] ajaxdavis: ``` write my code my as if it …

print(f"Rate limit exceeded. Retrying in {backoff_factor ** retries} seconds.") time.sleep(backoff_factor ** retries) retries += 1 else: response.raise_for_status() # Raise an excepti…

# Configure logging logging.basicConfig(level=logging.INFO) class TeamTask(BaseModel): task_id: int = Field(..., gt=0) role: str = Field(..., min_length=1) @app.exception_handler(RequestValidationError) async def validation_except…

```python import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') class IngestionTask: def __init__(self, task_name: str, documents: List[str]): self.task_name = task_name …

except okta.exceptions.OktaError as oe: logging.error(f"Okta error occurred: {oe}") except Exception as e: logging.error(f"Unexpected error occurred: {e}") return False # Test the function if __name__ == "__main…

raise AccessControlError(f"unable to implement control: {e}") # Example usage if __name__ == "__main__": # Configure logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') …

def __init__(self, control_id, control_name): self.control_id = control_id self.control_name = control_name def implement_control(self): raise NotImplementedError("Subclasses should implement this method") …

print(f"Processed {file_path} successfully") except Exception as e: print(f"Failed to process {file_path}: {e}") if __name__ == "__main__": main() ``` ### Explanation 1. **Concurrency Manag…

try: # Get the log message from the request body message = await request.json() log_message = message.get("message") if not log_message: raise HTTPException(status_code=400, detail="Message is…

# Indexing code pass except Exception as e: logging.error(f"Error indexing document: {e}", exc_info=True) # Example usage documents = ["doc1", "doc2", "doc3"] catch_bm25_indexing_failures(documents) ``` …

M = 8 # Number of sub-quantizers nbits = 8 # Number of bits per sub-quantizer index = faiss.IndexIVFPQ(quantizer, 128, nlist, M, nbits) try: # Train the index index.train(vectors) except Exception as e: logging.error(f"Error …

except requests.exceptions.RequestException as e: raise HTTPException(status_code=500, detail=str(e)) @app.get("/health") def health_check(): return {"status": "OK"} ``` ### Step 5: Handle Errors and Exceptions Handle pot…

raise HTTPException(status_code=500, detail=str(e)) # Dependency to validate JWT token async def get_current_user(token: str = Depends(oauth2_scheme)): # Validate the token using Keycloak # Replace with actual validation lo…

async def get_current_user(token: str = Depends(oauth2_scheme)): # Replace with actual validation logic using Keycloak if not token: raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Not authenticated") …

class TokenLimitExceededError(Exception): pass # Example usage try: context = " ".join([f"token_{i}" for i in range(2000)]) segmented_context = segment_context(context) for segment in segmented_context: print(segmen…

return {doc_id: all_data[doc_id] for doc_id in allowed_doc_ids} else: raise PermissionError("Insufficient privileges") def handle_request(token, document_ids): try: userinfo = authenticate_user(token) …

logger.error(f"Request handling error: {e}") raise # Example usage token = "your_token" document_ids = [f"doc_{i}" for i in range(1000)] # Example document IDs filtered_data = handle_request(token, document_ids) print(filt…

from flask_limiter import Limiter from flask_limiter.util import get_remote_address from flask_timeout import FlaskTimeout app = Flask(__name__) limiter = Limiter(app, key_func=get_remote_address) timeout = FlaskTimeout(app) # Set the tim…

[Turn 8924] User: I'm trying to optimize the feedback loop logic for our RAG system, specifically focusing on achieving a 20% skill boost by reviewing 5 feedback strategies, but I'm encountering issues with the "FeedbackParseError" that's i…

logger.error(f"Unexpected error processing feedback: {e}", exc_info=True) return {"status": "error", "message": "An unexpected error occurred"}, 500 def parse_feedback(feedback_data): try: # Example parsing logi…

y_pred = model.predict(X_test) accuracy = accuracy_score(y_test, y_pred) logging.debug(f"Model evaluation completed. Accuracy: {accuracy:.4f}") report = classification_report(y_test, y_pred) matrix = confusion_matri…

- The `average_precision_score` function from `sklearn.metrics` calculates MAP. Note that the `k` parameter is used to specify the top k items to consider. - The `visualize_correlation` function plots the correlation between NDCG@5 and MAP@…

:param max_retries: Maximum number of retries. :param backoff_factor: Factor to multiply the backoff time. :param allowed_exceptions: Tuple of exceptions that trigger a retry. :return: The result of the evaluation function. …

future = executor.submit(evaluate_test, test_data) futures.append(future) # Wait for all futures to complete for future in concurrent.futures.as_completed(futures): try: …

By following these steps, you can systematically compare Markdown and PDF for documentation readability. This approach ensures that you have a consistent and comprehensive method to evaluate both formats, helping you achieve your goal of 95…

print(f"Tokens: {tokens}") rewritten_query = rewrite_query(tokens) print(f"Rewritten query: {rewritten_query}") return rewritten_query except Exception as e: print(f"Caught exception: {e}") …

print(f"Failed to rewrite query '{query}': {e}") ``` ### Explanation 1. **Logging Configuration**: - `filename='error.log'`: Specifies the log file name. - `level=logging.ERROR`: Sets the logging level to `ERROR` to capture …

corrected_query = ' '.join(words) # log the result logging.info(f'Successfully corrected query: {query} -> {corrected_query}') self.success_count += 1 except Exception as …

### Suggested Improvements 1. **Function Renaming**: - Rename `correction_logic` to `apply_correction_rules` for clarity. 2. **Error Handling**: - Add error handling to manage potential issues, such as missing columns or invalid dat…

for future in as_completed(futures): results.extend(future.result()) return results # Example usage: queries = ["What is the capital of France?", "Who is the president of the United States?", ...] reformulated_q…

suggestions = hspell.suggest(word) if suggestions: corrected_word = suggestions[0] else: corrected_word = word else: corrected_word = word end_t…

except Exception as e: print(f"Failed to process text: {multi_language_query}. Error: {str(e)}") ``` ### Explanation 1. **Ensure Consistent Text Encoding**: - The `ensure_encoding` function ensures that the text is consistently enc…

- Profile your code to identify bottlenecks and benchmark different approaches to see which performs best. - Use tools like `cProfile` to measure the performance of your code and identify areas for improvement. By leveraging vectorized …