code: def get_perturbable_vars(scope):
      """
      Get the trainable variables that can be perturbed when using
      parameter noise.
  
      :param scope: (str) tensorflow scope of the variables
      :return: ([tf.Variables])
      """
      return [
          var
          for var in tf_util.get_trainable_vars(scope)
          if "LayerNorm" not in var.name
      ]
  
imports: from functools import reduce
  import os
  import time
  from collections import deque
  import pickle
  import warnings
  import gym
  import numpy
  import tensorflow
  import tensorflow.contrib
  from mpi4py import MPI
  from stable_baselines import logger
  from stable_baselines.common import tf_util, OffPolicyRLModel, SetVerbosity, TensorboardWriter
  from stable_baselines.common.vec_env import VecEnv
  from stable_baselines.common.mpi_adam import MpiAdam
  from stable_baselines.common.buffers import ReplayBuffer
  from stable_baselines.common.math_util import unscale_action, scale_action
  from stable_baselines.common.mpi_running_mean_std import RunningMeanStd
  from stable_baselines.ddpg.policies import DDPGPolicy
label_desc: Use image node_id 6 for calling a global function with example usage: get_perturbable_vars(scope) and returns: unknown