code: def transform(self, data_inputs) -> Tuple[Any, Any]:
      ids, dis, eos = data_inputs
  
      new_dis = []
      new_eos = []
      for di, eo in zip(dis, eos):
          new_dis.append(di * 2)
          new_eos.append(eo * 2)
  
      return ids, new_dis, new_eos
  
file_path: Neuraxle/testing_neuraxle/steps/test_output_transformer_wrapper.py
imports: from typing import Any, Tuple
  from neuraxle.base import BaseTransformer
  from neuraxle.base import ExecutionContext
  from neuraxle.data_container import DataContainer
  from neuraxle.hyperparams.space import HyperparameterSamples, HyperparameterSpace
  from neuraxle.pipeline import Pipeline
  from neuraxle.steps.output_handlers import IdsAndInputAndOutputTransformerMixin
label_desc: Use image node_id 2 for calling the MultiplyBy2OutputTransformer obj's underlying member method code with example usage: obj.transform(data_inputs) and returns: ids,  new_dis,  new_eos