code: def __collect_observations(self):
      observation = {}
      if self.state is not None:
          observation["screen"] = self.state.screen_buffer
          if self.channels == 1:
              observation["screen"] = self.state.screen_buffer[
                  ..., None
              ]
          if self.depth:
              observation["depth"] = self.state.depth_buffer[..., None]
          if self.labels:
              observation["labels"] = self.state.labels_buffer[
                  ..., None
              ]
          if self.automap:
              observation["automap"] = self.state.automap_buffer
              if self.channels == 1:
                  observation["automap"] = self.state.automap_buffer[
                      ..., None
                  ]
          if self.num_game_variables > 0:
              observation[
                  "gamevariables"
              ] = self.state.game_variables.astype(np.float32)
      else:
          # there is no state in the terminal step, so a zero observation is returned instead
          for (
              space_key,
              space_item,
          ) in self.observation_space.spaces.items():
              observation[space_key] = np.zeros(
                  space_item.shape, dtype=space_item.dtype
              )
  
      return observation
  
imports: import itertools
  import warnings
  from typing import Optional
  import gym
  import numpy
  import pygame
  from gym.utils import EzPickle
  import vizdoom.vizdoom
label_desc: Use image node_id 7 for calling the VizdoomEnv obj's underlying member method code with example usage: obj.__collect_observations() and returns: observation