code: def _handle_py4j_error(reraised_error_type, reraised_error_text):
      """
      Logs information about an exception that is currently being handled
      and reraises it with the specified error text as a message.
      """
      traceback.print_exc()
      tb = sys.exc_info()[2]
      reraise(
          reraised_error_type,
          reraised_error_type(reraised_error_text),
          tb,
      )
  
file_path: mlflow/mlflow/mleap/__init__.py
imports: import logging
  import os
  import pathlib
  import sys
  import traceback
  import mlflow
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model, ModelInputExample, ModelSignature
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.utils import _save_example
  from mlflow.utils import reraise
  from mlflow.utils.annotations import deprecated, keyword_only
  from mlflow.utils.file_utils import path_to_local_file_uri
label_desc: Use image node_id 4 for calling a global function with example usage: _handle_py4j_error(reraised_error_type, reraised_error_text) without return types