class_docstr: A trading environment made for use with Gym-compatible reinforcement
  learning algorithms.
  
  Parameters
  ----------
  action_scheme : `ActionScheme`
      A component for generating an action to perform at each step of the
      environment.
  reward_scheme : `RewardScheme`
      A component for computing reward after each step of the environment.
  observer : `Observer`
      A component for generating observations after each step of the
      environment.
  informer : `Informer`
      A component for providing information after each step of the
      environment.
  renderer : `Renderer`
      A component for rendering the environment.
  kwargs : keyword arguments
      Additional keyword arguments needed to create the environment.
class_docstr_tok: ["A","trading","environment","made","for","use","with","Gym-compatible","reinforcement","learning","algorithms",".","Parameters","--","--","--","--","--","action_scheme",":","`","ActionScheme","`","A","component","for","generating","an","action","to","perform","at","each","step","of","the","environment",".","reward_scheme",":","`","RewardScheme","`","A","component","for","computing","reward","after","each","step","of","the","environment",".","observer",":","`","Observer","`","A","component","for","generating","observations","after","each","step","of","the","environment",".","informer",":","`","Informer","`","A","component","for","providing","information","after","each","step","of","the","environment",".","renderer",":","`","Renderer","`","A","component","for","rendering","the","environment",".","kwargs",":","keyword","arguments","Additional","keyword","arguments","needed","to","create","the","environment","."]
docstr: Renders the environment.
docstr_tok: ["Renders","the","environment","."]
code: def render(self, **kwargs) -> None:
      """Renders the environment."""
      self.renderer.render(self, **kwargs)
  
file_path: tensortrade/tensortrade/env/generic/environment.py
imports: import uuid
  import logging
  from typing import Dict, Any, Tuple
  from random import randint
  import gym
  import numpy
  from tensortrade.core import TimeIndexed, Clock, Component
  from tensortrade.env.generic import ActionScheme, RewardScheme, Observer, Stopper, Informer, Renderer
label_desc: Use image node_id 5 for calling the TradingEnv obj's underlying member method code with example usage: obj.render() without return types