code: def test_replace_masked_values_replaces_masked_values_with_finite_value(
      self,
  ):
      tensor = torch.FloatTensor(
          [[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]]
      )
      mask = torch.FloatTensor([[1, 1, 0]])
      replaced = util.replace_masked_values(
          tensor, mask.unsqueeze(-1), 2
      ).data.numpy()
      assert_almost_equal(
          replaced, [[[1, 2, 3, 4], [5, 6, 7, 8], [2, 2, 2, 2]]]
      )
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_almost_equal
  import torch
  import pytest
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.nn import util
label_desc: Use image node_id 25 for calling the TestNnUtil obj's underlying member method code with example usage: obj.test_replace_masked_values_replaces_masked_values_with_finite_value() without return types