code: def custom_load_file_as_array(local_data_file_path, dataset_format):
      return [local_data_file_path, dataset_format]
  
imports: import os
  import pathlib
  import tempfile
  import time
  from datetime import datetime
  from unittest import mock
  from unittest.mock import Mock
  import pandas
  import pytest
  from pyspark.sql import SparkSession
  from mlflow.exceptions import MlflowException
  from mlflow.recipes.steps.ingest import IngestStep
  from mlflow.recipes.utils import _RECIPE_CONFIG_FILE_NAME
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.utils.file_utils import read_yaml
label_desc: Use image node_id 14 for calling a global function with example usage: custom_load_file_as_array(local_data_file_path, dataset_format) and returns: list