class_docstr: A step that can sends the expected_outputs to the wrapped step
  so that it can transform the expected outputs.
docstr: Handle fit transform by passing expected outputs to the wrapped step fit method.
  Update the expected outputs with the outputs.
  
  :param context: execution context
  :type context: ExecutionContext
  :param data_container: data container to fit on
  :return: self, data container
docstr_tok: ["Handle","fit","transform","by","passing","expected","outputs","to","the","wrapped","step","fit","method",".","Update","the","expected","outputs","with","the","outputs",".",":","param","context",":","execution","context",":","type","context",":","ExecutionContext",":","param","data_container",":","data","container","to","fit","on",":","return",":","self",",","data","container"]
code: def _fit_transform_data_container(
      self, data_container: DACT, context: CX
  ) -> Tuple[BaseStep, DACT]:
      """
      Handle fit transform by passing expected outputs to the wrapped step fit method.
      Update the expected outputs with the outputs.
  
      :param context: execution context
      :type context: ExecutionContext
      :param data_container: data container to fit on
      :return: self, data container
      """
      (
          self.wrapped,
          new_expected_outputs_data_container,
      ) = self.wrapped.handle_fit_transform(
          DACT(
              data_inputs=data_container.expected_outputs,
              ids=data_container.ids,
              expected_outputs=None,
          ),
          context,
      )
      self._set_expected_outputs(
          data_container, new_expected_outputs_data_container, context
      )
  
      return self, data_container
  
imports: import copy
  from typing import Tuple
  from neuraxle.base import BaseStep
  from neuraxle.base import ExecutionContext
  from neuraxle.base import ForceHandleOnlyMixin, MetaStep, MixinForBaseTransformer
  from neuraxle.data_container import DataContainer
label_desc: Use image node_id 4 for calling the OutputTransformerWrapper obj's underlying member method code with example usage: obj._fit_transform_data_container(data_container, context) and returns: self,  data_container