class_docstr: Please make your steps inherit from ForceHandleMixin when they only implement handle_methods, but also
  when you want to make impossible the use of regular fit, transform, and fit_transform methods
  Also, make sure that BaseStep is the last step you inherit from.
class_docstr_tok: ["Please","make","your","steps","inherit","from","ForceHandleMixin","when","they","only","implement","handle_methods",",","but","also","when","you","want","to","make","impossible","the","use","of","regular","fit",",","transform",",","and","fit_transform","methods","Also",",","make","sure","that","BaseStep","is","the","last","step","you","inherit","from","."]
docstr: Change the shape of the data container.
  and/or
  Apply any side effects based on the data container
  And/or
  Change the execution flow of the pipeline
docstr_tok: ["Change","the","shape","of","the","data","container",".","and\/or","Apply","any","side","effects","based","on","the","data","container","And\/or","Change","the","execution","flow","of","the","pipeline"]
code: def _transform_data_container(
      self, data_container: DACT, context: CX
  ) -> DACT:
      """
      Change the shape of the data container.
      and/or
      Apply any side effects based on the data container
      And/or
      Change the execution flow of the pipeline
      """
      context.logger.info(
          "Handling the 'transform' with handler method!"
      )
      return data_container
  
file_path: Neuraxle/examples/getting_started/plot_force_handle_mixin.py
imports: from typing import Tuple
  import numpy
  from neuraxle.base import DACT, BaseStep
  from neuraxle.base import ExecutionContext
  from neuraxle.base import ForceHandleMixin
label_desc: Use image node_id 3 for calling the ForceHandleMixinStep obj's underlying member method code with example usage: obj._transform_data_container(data_container, context) and returns: data_container