code: def test_numpy_pandas_support_transform_batch_wrong_format(
      create_dummy_preprocessors,
  ):
      # Case 1: simple dataset. No support
      (
          with_nothing,
          with_pandas,
          with_numpy,
          with_pandas_and_numpy,
          with_pandas_and_numpy_preferred,
      ) = create_dummy_preprocessors
  
      batch = [1, 2, 3]
      with pytest.raises(ValueError):
          with_nothing.transform_batch(batch)
  
      with pytest.raises(ValueError):
          with_pandas.transform_batch(batch)
  
      with pytest.raises(ValueError):
          with_numpy.transform_batch(batch)
  
      with pytest.raises(ValueError):
          with_pandas_and_numpy.transform_batch(batch)
  
      with pytest.raises(ValueError):
          with_pandas_and_numpy_preferred.transform_batch(batch)
  
imports: import re
  import warnings
  from typing import Dict, Union
  from unittest.mock import patch
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import BatchFormat
  from ray.data.preprocessor import Preprocessor
  from ray.data.preprocessors import BatchMapper, Categorizer, Chain, Concatenator, CountVectorizer, FeatureHasher, HashingVectorizer, LabelEncoder, MaxAbsScaler, MinMaxScaler, MultiHotEncoder, Normalizer, OneHotEncoder, OrdinalEncoder, PowerTransformer, RobustScaler, SimpleImputer, StandardScaler, Tokenizer
label_desc: Use image node_id 8 for calling a global function with example usage: test_numpy_pandas_support_transform_batch_wrong_format(create_dummy_preprocessors) without return types