code: def setUp(self):
      self.batch_size = 30
      self.action_size = 3
      self.n_taus = 5
      self.quantiles = torch.randn(
          self.batch_size,
          self.n_taus,
          self.action_size,
          dtype=torch.float,
      )
      self.av = action_value.QuantileDiscreteActionValue(self.quantiles)
      self.q_values = self.quantiles.mean(axis=1)
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from pfrl import action_value
  from pfrl.testing import torch_assert_allclose
label_desc: Use image node_id 1 for calling the TestQuantileDiscreteActionValue obj's underlying member method code with example usage: obj.setUp() without return types