code: def __init__(
      self,
      level,
      robot=None,
      controller=None,
      apply_dr: bool = False,
      dr_every_n_steps_min: int = 10,
      dr_every_n_steps_max: int = 20,
      use_joint_vel_obs=False,
  ):
      super().__init__(level=level)
      self.base_parameters = RobosuiteBaseParameters()
      self.extra_parameters = {}
      self.robot = robot
      self.controller = controller
      self.apply_dr = apply_dr
      self.dr_every_n_steps_min = dr_every_n_steps_min
      self.dr_every_n_steps_max = dr_every_n_steps_max
      self.use_joint_vel_obs = use_joint_vel_obs
      self.custom_controller_config_fpath = None
  
imports: from typing import Union, Dict, Any
  from enum import Enum, Flag, auto
  from copy import deepcopy
  import numpy
  import random
  from collections import namedtuple
  from rl_coach.base_parameters import Parameters, VisualizationParameters
  from rl_coach.environments.environment import Environment, EnvironmentParameters, LevelSelection
  from rl_coach.spaces import BoxActionSpace, VectorObservationSpace, StateSpace, PlanarMapsObservationSpace
  import rl_coach.environments.robosuite.cube_exp
label_desc: Use image node_id 1 to create a new RobosuiteEnvironmentParameters object from inherited base classes: EnvironmentParameters with example: obj = RobosuiteEnvironmentParameters(level, robot, controller, apply_dr, dr_every_n_steps_min, dr_every_n_steps_max, use_joint_vel_obs)