code: def test_hyperopt_executor_variant_generator(
      csv_filename, ray_mock_dir, ray_cluster_7cpu
  ):
      search_alg = SCENARIOS[0]["search_alg"]
      executor = SCENARIOS[0]["executor"]
      run_hyperopt_executor(
          search_alg, executor, csv_filename, ray_mock_dir
      )
  
imports: import os.path
  import shutil
  import uuid
  from unittest.mock import patch
  import pytest
  from ludwig.api import LudwigModel
  from ludwig.callbacks import Callback
  from ludwig.constants import ACCURACY, AUTO, BATCH_SIZE, EXECUTOR, MAX_CONCURRENT_TRIALS, TRAINER
  from ludwig.globals import HYPEROPT_STATISTICS_FILE_NAME
  from ludwig.hyperopt.results import HyperoptResults
  from ludwig.hyperopt.run import hyperopt
  from ludwig.hyperopt.utils import update_hyperopt_params_with_defaults
  from ludwig.schema.model_config import ModelConfig
  from tests.integration_tests.utils import binary_feature, create_data_set_to_use, generate_data, number_feature
label_desc: Use image node_id 5 for calling a global function with example usage: test_hyperopt_executor_variant_generator(csv_filename, ray_mock_dir, ray_cluster_7cpu) without return types