code: def test_evaluate_actions_as_quantiles(self):
      sample_actions = torch.randint(
          self.action_size, size=(self.batch_size,)
      )
      z = self.av.evaluate_actions_as_quantiles(sample_actions)
      self.assertIsInstance(z, torch.Tensor)
      for b in range(self.batch_size):
          torch_assert_allclose(
              z[b], self.quantiles[b, :, sample_actions[b]]
          )
  
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 3 for calling the TestQuantileDiscreteActionValue obj's underlying member method code with example usage: obj.test_evaluate_actions_as_quantiles() without return types