code: def test_pmdarima_pyfunc_raises_invalid_df_input(
      auto_arima_model, model_path
  ):
      mlflow.pmdarima.save_model(
          pmdarima_model=auto_arima_model, path=model_path
      )
      loaded_pyfunc = mlflow.pyfunc.load_model(model_uri=model_path)
  
      with pytest.raises(
          MlflowException, match="The provided prediction pd.DataFrame "
      ):
          loaded_pyfunc.predict(
              pd.DataFrame([{"n_periods": 60}, {"n_periods": 100}])
          )
  
      with pytest.raises(
          MlflowException,
          match="The provided prediction configuration ",
      ):
          loaded_pyfunc.predict(pd.DataFrame([{"invalid": True}]))
  
      with pytest.raises(
          MlflowException, match="The provided `n_periods` value "
      ):
          loaded_pyfunc.predict(pd.DataFrame([{"n_periods": "60"}]))
  
imports: import json
  import os
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import pmdarima
  import pytest
  import yaml
  import mlflow.pmdarima
  import mlflow.pyfunc.scoring_server
  from mlflow import pyfunc
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model, ModelSignature, 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.types import DataType
  from mlflow.types.schema import ColSpec, Schema
  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
  from tests.prophet.test_prophet_model_export import DataGeneration
label_desc: Use image node_id 22 for calling a global function with example usage: test_pmdarima_pyfunc_raises_invalid_df_input(auto_arima_model, model_path) without return types