code: def clean_active_mlflow_run():
      """Trick MLFLow into thinking there are no active runs."""
      global _active_run_stack
      old_run_stack = _active_run_stack.copy()
      _active_run_stack.clear()
      yield
      active_run = _active_run_stack[-1]
      _active_run_stack.clear()
      _active_run_stack.extend(old_run_stack)
      _active_run_stack.append(active_run)
  
imports: import secrets
  from contextlib import contextmanager
  from pycaret.loggers.base_logger import BaseLogger
  from pycaret.utils.generic import mlflow_remove_bad_chars
label_desc: Use image node_id 2 for calling a global function with example usage: clean_active_mlflow_run() without return types