text: # Copyright (c) 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 AddExtremePointsChannel
  from tests.utils import TEST_NDARRAYS, assert_allclose
  
  IMG_CHANNEL = 3
  TESTS = []
  for p in TEST_NDARRAYS:
      for q in TEST_NDARRAYS:
          TESTS.append(
              [
                  {
                      "img": p(np.zeros((IMG_CHANNEL, 4, 3))),
                      "label": q(np.array([[[0, 1, 0], [0, 0, 1], [0, 1, 0], [1, 0, 0]]])),
                      "sigma": 1.0,
                      "rescale_min": 0.0,
                      "rescale_max": 1.0,
                  },
                  p(
                      np.array(
                          [
                              [0.38318458, 0.98615628, 0.85551184],
                              [0.35422316, 0.94430935, 1.0],
                              [0.46000731, 0.57319659, 0.46000722],
                              [0.64577687, 0.38318464, 0.0],
                          ]
                      )
                  ),
              ]
          )
  
          TESTS.append(
              [
                  {
                      "img": p(np.zeros((IMG_CHANNEL, 4, 3))),
                      "label": q(np.array([[[0, 1, 0], [1, 1, 1], [0, 1, 0], [0, 1, 0]]])),
                      "sigma": 1.0,
                      "rescale_min": 0.0,
                      "rescale_max": 1.0,
                  },
                  p(
                      np.array(
                          [
                              [0.44628328, 0.80495411, 0.44628328],
                              [0.6779086, 1.0, 0.67790854],
                              [0.33002687, 0.62079221, 0.33002687],
                              [0.0, 0.31848389, 0.0],
                          ]
                      )
                  ),
              ]
          )
  
  
  class TestAddExtremePointsChannel(unittest.TestCase):
      @parameterized.expand(TESTS)
      def test_correct_results(self, input_data, expected):
          add_extreme_points_channel = AddExtremePointsChannel()
          result = add_extreme_points_channel(**input_data)
          assert_allclose(result[IMG_CHANNEL], expected, rtol=1e-4)
  
  
  if __name__ == "__main__":
      unittest.main()
  