code: def test_log_loss_from_probs_boundary(
      self, small_value, expected_loss
  ):
      pred = np.array([[0.0, 1]] * 2)
      y = np.array([0, 1])
      loss = utils.log_loss(y, pred, small_value=small_value)
      np.testing.assert_allclose(
          loss, np.array([expected_loss, 0]), atol=1e-7
      )
  
imports: from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_privacy.privacy.privacy_tests import utils
label_desc: Use image node_id 3 for calling the TestLogLoss obj's underlying member method code with example usage: obj.test_log_loss_from_probs_boundary(small_value, expected_loss) without return types