code: def update_priorities(self, indices, priorities):
      priorities.pow_(self.priority_exponent)
      [
          self.transitions.update(index, priority)
          for index, priority in zip(indices, priorities)
      ]
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/rainbow_dqn/replay_memory.py
imports: import collections
  import random
  import torch
  from serpent.machine_learning.reinforcement_learning.rainbow_dqn.segment_tree import SegmentTree
label_desc: Use image node_id 6 for calling the ReplayMemory obj's underlying member method code with example usage: obj.update_priorities(indices, priorities) without return types