code: def assert_data_fitted_properly(
      actual_fitted_data, expected_fitted_data
  ):
      for actual_fitted, expected_fitted in zip(
          actual_fitted_data, expected_fitted_data
      ):
          assert np.array_equal(actual_fitted[0], expected_fitted[0])
          assert np.array_equal(actual_fitted[1], expected_fitted[1])
  
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 7 for calling a global function with example usage: assert_data_fitted_properly(actual_fitted_data, expected_fitted_data) without return types