class_docstr: A dummy gym.spaces.Box multitask environment.
  
  Args:
      random (bool): If observations are randomly generated or not.
      obs_dim (iterable): Observation space dimension.
      action_dim (iterable): Action space dimension.
docstr: Step the environment.
  
  Args:
      action (int): Action input.
  
  Returns:
      np.ndarray: Observation.
      float: Reward.
      bool: If the environment is terminated.
      dict: Environment information.
code: def step(self, action):
      """Step the environment.
  
      Args:
          action (int): Action input.
  
      Returns:
          np.ndarray: Observation.
          float: Reward.
          bool: If the environment is terminated.
          dict: Environment information.
  
      """
      return (
          self.observation_space.sample(),
          0,
          False,
          dict(dummy="dummy", task_name=self.task),
      )
  
file_path: garage/tests/fixtures/envs/dummy/dummy_multitask_box_env.py
imports: from random import choices
  from tests.fixtures.envs.dummy import DummyBoxEnv
label_desc: Use image node_id 5 for calling the DummyMultiTaskBoxEnv obj's underlying member method code with example usage: obj.step(action) and returns: self,  int,  False,  dict