code: def test_model_native_save_load(prophet_model, model_path):
      model = prophet_model.model
      mlflow.prophet.save_model(pr_model=model, path=model_path)
      loaded_model = mlflow.prophet.load_model(model_uri=model_path)
  
      np.testing.assert_array_equal(
          generate_forecast(model, FORECAST_HORIZON),
          loaded_model.predict(
              future_horizon_df(loaded_model, FORECAST_HORIZON)
          )[TARGET_FIELD_NAME],
      )
  
imports: import json
  import os
  from collections import namedtuple
  from datetime import date, datetime, timedelta
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import prophet
  import pytest
  import yaml
  from packaging.version import Version
  from prophet import Prophet
  import mlflow
  import mlflow.prophet
  import mlflow.pyfunc.scoring_server
  import mlflow.utils
  from mlflow import pyfunc
  from mlflow.models import Model, infer_signature
  from mlflow.models.utils import _read_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.model_utils import _get_flavor_configuration
  from tests.helper_functions import _assert_pip_requirements, _compare_conda_env_requirements, _compare_logged_code_paths, _is_available_on_pypi, _mlflow_major_version_string, assert_register_model_called_with_local_model_path, pyfunc_serve_and_score_model
label_desc: Use image node_id 6 for calling a global function with example usage: test_model_native_save_load(prophet_model, model_path) without return types