code: def _save_model(model, path, serialization_format):
      with open(path, "wb") as out:
          if serialization_format == SERIALIZATION_FORMAT_PICKLE:
              pickle.dump(model, out)
          else:
              import cloudpickle
  
              cloudpickle.dump(model, out)
  
imports: import logging
  import os
  import pickle
  from typing import Any, Dict, Optional
  import flavor
  import numpy
  import pandas
  import sktime
  import yaml
  from sktime.utils.multiindex import flatten_multiindex
  import mlflow
  from mlflow import pyfunc
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.utils import _save_example
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.environment import _CONDA_ENV_FILE_NAME, _CONSTRAINTS_FILE_NAME, _PYTHON_ENV_FILE_NAME, _REQUIREMENTS_FILE_NAME, _mlflow_conda_env, _process_conda_env, _process_pip_requirements, _PythonEnv, _validate_env_arguments
  from mlflow.utils.file_utils import write_to
  from mlflow.utils.model_utils import _add_code_from_conf_to_system_path, _get_flavor_configuration, _validate_and_copy_code_paths, _validate_and_prepare_target_save_path
  from mlflow.utils.requirements_utils import _get_pinned_requirement
label_desc: Use image node_id 6 for calling a global function with example usage: _save_model(model, path, serialization_format) without return types