docstr: Update priorities of sampled transitions
docstr_tok: ["Update","priorities","of","sampled","transitions"]
code: def update_priorities(self, idxes, priorities):
      """Update priorities of sampled transitions"""
      assert len(idxes) == len(priorities)
      for idx, priority in zip(idxes, priorities):
          assert priority > 0
          assert 0 <= idx < len(self._storage)
          self._it_sum[idx] = priority**self._alpha
          self._it_min[idx] = priority**self._alpha
  
          self._max_priority = max(self._max_priority, priority)
  
imports: import argparse
  import operator
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 5 for calling the PrioritizedReplayBuffer obj's underlying member method code with example usage: obj.update_priorities(idxes, priorities) without return types