code: def _add_fitted_data(self, data_inputs, expected_outputs):
      self.fitted_data.append(
          (copy.deepcopy(data_inputs), copy.deepcopy(expected_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 4 for calling the MultiplyBy2 obj's underlying member method code with example usage: obj._add_fitted_data(data_inputs, expected_outputs) without return types