class_docstr: This should raise an error because it does not return the same length for data_inputs and expected_outputs
class_docstr_tok: ["This","should","raise","an","error","because","it","does","not","return","the","same","length","for","data_inputs","and","expected_outputs"]
code: def __init__(self):
      super().__init__()
  
imports: import numpy
  import pytest
  from neuraxle.base import BaseTransformer
  from neuraxle.base import ExecutionContext
  from neuraxle.base import ForceHandleMixin
  from neuraxle.data_container import EOT
  from neuraxle.data_container import DataContainer
  from neuraxle.hyperparams.space import HyperparameterSamples
  from neuraxle.pipeline import Pipeline
  from neuraxle.steps.misc import FitCallbackStep, TapeCallbackFunction
  from neuraxle.steps.numpy import MultiplyByN
  from neuraxle.steps.output_handlers import IdsInputAndOutputTransformerWrapper, OutputTransformerWrapper
label_desc: Use image node_id 1 to create a new ChangeLenDataInputs object from inherited base classes: BaseTransformer with example: obj = ChangeLenDataInputs()