class_docstr: Event topic class with logging statistics based only on observations, therefore applicable to any valid
  reinforcement learning environment.
class_docstr_tok: ["Event","topic","class","with","logging","statistics","based","only","on","observations",",","therefore","applicable","to","any","valid","reinforcement","learning","environment","."]
docstr: observation to be visualized 
docstr_tok: ["observation","to","be","visualized"]
code: def observation_to_visualize(
      self, step_key: str, name: str, value: int
  ):
      """observation to be visualized"""
  
imports: from abc import ABC
  import warnings
  from typing import TypeVar, Union, Any, Tuple, Dict, Optional, List, Callable
  import matplotlib.pyplot
  import numpy
  from maze.core.annotations import override, unused
  from maze.core.env.action_conversion import ActionType
  from maze.core.env.base_env import BaseEnv
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.observation_conversion import ObservationType
  from maze.core.env.simulated_env_mixin import SimulatedEnvMixin
  from maze.core.env.structured_env import StructuredEnv
  from maze.core.log_stats.event_decorators import define_plot, define_epoch_stats, define_episode_stats, define_step_stats, define_stats_grouping
  from maze.core.log_stats.reducer_functions import histogram
  from maze.core.utils.factory import Factory
  from maze.core.wrappers.wrapper import Wrapper
label_desc: Use image node_id 1 for calling the ObservationVisualizationEvents obj's underlying member method code with example usage: obj.observation_to_visualize(step_key, name, value) without return types