code: def _did_process(self, data_container: DACT, context: CX) -> DACT:
      ids, di, eo = data_container.data_inputs
      self._assert(
          di is None
          or eo is None
          or ids is None
          or (len(di) == len(eo) and len(ids) == len(di)),
          f"{self.name}: Found different len for non-null data inputs, and expected outputs. "
          f"Please return the same the same amount of data inputs, and expected outputs, or "
          f"otherwise create your own handler methods to do more funky things.",
          context,
      )
  
      data_container.set_ids(ids=ids)
      data_container.set_data_inputs(data_inputs=di)
      data_container.set_expected_outputs(expected_outputs=eo)
  
      data_container = super()._did_process(data_container, context)
  
      self._assert(
          len(data_container.ids) == len(data_container.data_inputs),
          f"{self.name}: Caching broken because there is a different len of current ids, and data inputs. Please use InputAndOutputTransformerWrapper if you plan to change the len of the data inputs.",
          context,
      )
  
      return 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 1 for calling the _DidProcessIdsInputOutputHandlerMixin obj's underlying member method code with example usage: obj._did_process(data_container, context) and returns: data_container