code: # Copyright 2020 MONAI Consortium
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #     http://www.apache.org/licenses/LICENSE-2.0
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import unittest
  
  import numpy as np
  from parameterized import parameterized
  
  from monai.transforms import MaskIntensityd
  
  TEST_CASE_1 = [
      {"keys": "img", "mask_data": np.array([[[0, 0, 0], [0, 1, 0], [0, 0, 0]]])},
      {"img": np.array([[[1, 1, 1], [2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5], [6, 6, 6]]])},
      np.array([[[0, 0, 0], [0, 2, 0], [0, 0, 0]], [[0, 0, 0], [0, 5, 0], [0, 0, 0]]]),
  ]
  
  TEST_CASE_2 = [
      {"keys": "img", "mask_data": np.array([[[0, 0, 0], [0, 5, 0], [0, 0, 0]]])},
      {"img": np.array([[[1, 1, 1], [2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5], [6, 6, 6]]])},
      np.array([[[0, 0, 0], [0, 2, 0], [0, 0, 0]], [[0, 0, 0], [0, 5, 0], [0, 0, 0]]]),
  ]
  
  TEST_CASE_3 = [
      {"keys": "img", "mask_data": np.array([[[0, 0, 0], [0, 1, 0], [0, 0, 0]], [[0, 1, 0], [0, 1, 0], [0, 1, 0]]])},
      {"img": np.array([[[1, 1, 1], [2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5], [6, 6, 6]]])},
      np.array([[[0, 0, 0], [0, 2, 0], [0, 0, 0]], [[0, 4, 0], [0, 5, 0], [0, 6, 0]]]),
  ]
  
  
  class TestMaskIntensityd(unittest.TestCase):
      @parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3])
      def test_value(self, argments, image, expected_data):
          result = MaskIntensityd(**argments)(image)
          np.testing.assert_allclose(result["img"], expected_data)
  
  
  if __name__ == "__main__":
      unittest.main()
  
apis: numpy.array numpy.testing.assert_allclose