code: def test_evaluate_actions_as_distribution(self):
      sample_actions = torch.as_tensor(
          np.random.randint(self.action_size, size=self.batch_size)
      )
      ret = self.qout.evaluate_actions_as_distribution(sample_actions)
      self.assertIsInstance(ret, torch.Tensor)
      for b in range(self.batch_size):
          np.testing.assert_almost_equal(
              ret.detach().cpu().numpy()[b],
              self.atom_probs[b, sample_actions[b]],
              decimal=5,
          )
  
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 6 for calling the TestDistributionalDiscreteActionValue obj's underlying member method code with example usage: obj.test_evaluate_actions_as_distribution() without return types