code: def test_column_transformer_transform_should_support_indexes(
      test_case: ColumnChooserTestCase,
  ):
      data_inputs = test_case.data_inputs
      column_transformer = ColumnTransformer(
          test_case.column_transformer_tuple_list, test_case.n_dimension
      )
  
      outputs = column_transformer.transform(data_inputs)
  
      assert np.array_equal(
          outputs, test_case.expected_processed_outputs
      )
  
imports: import copy
  from typing import Any, Tuple
  import numpy
  import pytest
  from neuraxle.base import BaseStep
  from neuraxle.steps.column_transformer import ColumnTransformer
label_desc: Use image node_id 1 for calling a global function with example usage: test_column_transformer_transform_should_support_indexes(test_case) without return types