code: def reset(self):
      self.state = self.np_random.uniform(
          low=-0.05, high=0.05, size=(4,)
      )
      self.steps_beyond_done = None
      return np.array(self.state)
  
file_path: PARL/examples/tutorials/lesson5/ddpg/env.py
imports: import math
  import gym
  from gym import spaces, logger
  from gym.utils import seeding
  import numpy
label_desc: Use image node_id 5 for calling the ContinuousCartPoleEnv obj's underlying member method code with example usage: obj.reset() and returns: np