code: def _goal_reached(self):
      observation = self._get_obs()
      if np.any(
          np.abs(
              observation["achieved_goal"] - observation["desired_goal"]
          )
          > self.goal_reaching_thresholds
      ):
          return False
      else:
          return True
  
file_path: coach/rl_coach/environments/mujoco/pendulum_with_goals.py
imports: import os
  import gym
  import numpy
  from gym import spaces
  from gym.envs.registration import EnvSpec
  from mujoco_py import load_model_from_path, MjSim, MjViewer, MjRenderContextOffscreen
label_desc: Use image node_id 2 for calling the PendulumWithGoals obj's underlying member method code with example usage: obj._goal_reached() and returns: False, True