class_docstr: This should double the data given in entry. Expects to be wrapped in an InputAndOutputTransformerWrapper.
class_docstr_tok: ["This","should","double","the","data","given","in","entry",".","Expects","to","be","wrapped","in","an","InputAndOutputTransformerWrapper","."]
code: def __init__(self):
      BaseTransformer.__init__(self)
      ForceHandleMixin.__init__(self)
  
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 DoubleData object from inherited base classes: ForceHandleMixin, BaseTransformer with example: obj = DoubleData()