code: def sample_final_epsilon():
      """
      Sample a final epsilon value to anneal towards from a distribution.
      These values are specified in section 5.1 of http://arxiv.org/pdf/1602.01783v1.pdf
      """
      final_epsilons = np.array([0.1, 0.01, 0.5])
      probabilities = np.array([0.4, 0.3, 0.3])
      return np.random.choice(final_epsilons, 1, p=list(probabilities))[
          0
      ]
  
imports: from __future__ import division, print_function, absolute_import
  import threading
  import random
  import numpy
  import time
  from skimage.transform import resize
  from skimage.color import rgb2gray
  from collections import deque
  import gym
  import tensorflow.compat.v1
  import tflearn
label_desc: Use image node_id 2 for calling a global function with example usage: sample_final_epsilon() and returns: np