code: def test_data_image():
      with tempfile.TemporaryDirectory() as tmpdir:
          image_dest_folder = os.path.join(tmpdir, "generated_images")
          input_features = [
              image_feature(folder=image_dest_folder),
          ]
          output_features = [binary_feature()]
          dataset_csv = generate_data(
              input_features,
              output_features,
              os.path.join(tmpdir, "dataset.csv"),
              num_examples=20,
          )
          yield input_features, output_features, dataset_csv
  
imports: import os
  import tempfile
  from typing import List, Set
  from unittest import mock
  import numpy
  import pandas
  import pytest
  from ludwig.api import LudwigModel
  from ludwig.constants import COLUMN, ENCODER, INPUT_FEATURES, NAME, OUTPUT_FEATURES, PREPROCESSING, SPLIT, TYPE
  from ludwig.schema.model_types.base import ModelConfig
  from ludwig.types import FeatureConfigDict, ModelConfigDict
  from ludwig.utils.misc_utils import merge_dict
  from tests.integration_tests.utils import binary_feature, category_feature, generate_data, image_feature, minio_test_creds, number_feature, private_param, remote_tmpdir, text_feature
  import dask.dataframe
  from ray.tune.experiment.trial import Trial
  from ludwig.automl import auto_train, create_auto_config, train_with_config
  from ludwig.automl.automl import OUTPUT_DIR
  from ludwig.hyperopt.execution import RayTuneExecutor
label_desc: Use image node_id 7 for calling a global function with example usage: test_data_image() without return types