class_docstr: Full map of two countable action spaces. This works in a similar way to the
  PartialDiscreteActionSpaceMap, but maps the entire source action space into the entire target action space, without
  masking any actions.
  For example, if there are 10 multiselect actions in the output space, the actions 0-9 will be mapped to those
  multiselect actions.
class_docstr_tok: ["Full","map","of","two","countable","action","spaces",".","This","works","in","a","similar","way","to","the","PartialDiscreteActionSpaceMap",",","but","maps","the","entire","source","action","space","into","the","entire","target","action","space",",","without","masking","any","actions",".","For","example",",","if","there","are","10","multiselect","actions","in","the","output","space",",","the","actions","0-9","will","be","mapped","to","those","multiselect","actions","."]
code: def get_unfiltered_action_space(
      self, output_action_space: ActionSpace
  ) -> DiscreteActionSpace:
      self.target_actions = output_action_space.actions
      return super().get_unfiltered_action_space(output_action_space)
  
imports: from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
  from rl_coach.spaces import ActionSpace, DiscreteActionSpace
label_desc: Use image node_id 2 for calling the FullDiscreteActionSpaceMap obj's underlying member method code with example usage: obj.get_unfiltered_action_space(output_action_space) and returns: super