code: def setUp(self):
      self.batch_size = 30
      self.action_size = 3
      self.q_values = np.random.normal(
          size=(self.batch_size, self.action_size)
      ).astype(np.float32)
      self.qout = action_value.DiscreteActionValue(
          torch.from_numpy(self.q_values)
      )
  
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 TestDiscreteActionValue obj's underlying member method code with example usage: obj.setUp() without return types