code: def __init__(self, multiply_by=1):
      super().__init__(
          hyperparams=HyperparameterSamples(
              {"multiply_by": multiply_by}
          )
      )
  
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 MultiplyByNInputAndOutput object from inherited base classes: BaseTransformer with example: obj = MultiplyByNInputAndOutput(multiply_by)