docstr: Make a single step in the environment using the given action
  
  :param action: an action to use for stepping the environment. Should follow the definition of the action space.
  :return: the environment response as returned in get_last_env_response
code: def step(self, action: ActionType) -> EnvResponse:
      """
      Make a single step in the environment using the given action
  
      :param action: an action to use for stepping the environment. Should follow the definition of the action space.
      :return: the environment response as returned in get_last_env_response
      """
      action = self.action_space.clip_action_to_space(action)
      if self.action_space and not self.action_space.contains(action):
          raise ValueError(
              "The given action does not match the action space definition. "
              "Action = {}, action space definition = {}".format(
                  action, self.action_space
              )
          )
  
      # store the last agent action done and allow passing None actions to repeat the previously done action
      if action is None:
          action = self.last_action
      self.last_action = action
      if (
          self.visualization_parameters.add_rendered_image_to_env_response
      ):
          current_rendered_image = self.get_rendered_image()
  
      self.current_episode_steps_counter += 1
      if self.phase != RunPhase.UNDEFINED:
          self.total_steps_counter += 1
  
      # act
      self._take_action(action)
  
      # observe
      self._update_state()
  
      if self.is_rendered:
          self.render()
  
      self.total_reward_in_current_episode += self.reward
  
      if (
          self.visualization_parameters.add_rendered_image_to_env_response
      ):
          self.info["image"] = current_rendered_image
  
      self.last_env_response = EnvResponse(
          reward=self.reward,
          next_state=self.state,
          goal=self.goal,
          game_over=self.done,
          info=self.info,
      )
  
      # store observations for video / gif dumping
      if self.should_dump_video_of_the_current_episode(
          episode_terminated=False
      ) and (
          self.visualization_parameters.dump_mp4
          or self.visualization_parameters.dump_gifs
      ):
          self.last_episode_images.append(self.get_rendered_image())
  
      return self.last_env_response
  
imports: import operator
  import time
  from collections import OrderedDict
  from typing import Union, List, Tuple, Dict
  import numpy
  from rl_coach import logger
  from rl_coach.base_parameters import Parameters
  from rl_coach.base_parameters import VisualizationParameters
  from rl_coach.core_types import GoalType, ActionType, EnvResponse, RunPhase
  from rl_coach.environments.environment_interface import EnvironmentInterface
  from rl_coach.logger import screen
  from rl_coach.renderer import Renderer
  from rl_coach.spaces import ActionSpace, ObservationSpace, DiscreteActionSpace, RewardSpace, StateSpace
  from rl_coach.utils import squeeze_list, force_list
label_desc: Use image node_id 11 for calling the Environment obj's underlying member method code with example usage: obj.step(action) and returns: self