code: def setUp(
      self,
      normalize_by_max,
      wait_priority_after_sampling,
      default_priority_func,
      uniform_ratio,
      return_sample_weights,
  ):
      self.capacity = 100
      self.normalize_by_max = normalize_by_max
      self.wait_priority_after_sampling = wait_priority_after_sampling
      self.default_priority_func = default_priority_func
      self.uniform_ratio = uniform_ratio
      self.return_sample_weights = return_sample_weights
  
imports: import collections
  import copy
  import os
  import tempfile
  import unittest
  import numpy
  import pytest
  import torch
  from pfrl import replay_buffer, replay_buffers
label_desc: Use image node_id 1 for calling the TestPrioritizedEpisodicReplayBuffer obj's underlying member method code with example usage: obj.setUp(normalize_by_max, wait_priority_after_sampling, default_priority_func, uniform_ratio, return_sample_weights) without return types