code: def test_evaluate_actions(self):
      sample_actions = np.random.randn(
          self.batch_size, self.action_size
      ).astype(np.float32)
      sample_actions = torch.from_numpy(sample_actions)
      ret = self.av.evaluate_actions(sample_actions)
      assertions.assertIsInstance(ret, torch.Tensor)
      np.testing.assert_equal(
          ret.numpy(), self.evaluator(sample_actions).numpy()
      )
  
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 4 for calling the TestSingleActionValue obj's underlying member method code with example usage: obj.test_evaluate_actions() without return types