text: # 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 monai.transforms.transforms import Rotate90
  from tests.utils import NumpyImageTestCase2D
  
  
  class TestRotate90(NumpyImageTestCase2D):
  
      def test_rotate90_default(self):
          rotate = Rotate90()
          rotated = rotate(self.imt[0])
          expected = list()
          for channel in self.imt[0]:
              expected.append(np.rot90(channel, 1, (0, 1)))
          expected = np.stack(expected)
          self.assertTrue(np.allclose(rotated, expected))
  
      def test_k(self):
          rotate = Rotate90(k=2)
          rotated = rotate(self.imt[0])
          expected = list()
          for channel in self.imt[0]:
              expected.append(np.rot90(channel, 2, (0, 1)))
          expected = np.stack(expected)
          self.assertTrue(np.allclose(rotated, expected))
  
      def test_spatial_axes(self):
          rotate = Rotate90(spatial_axes=(0, 1))
          rotated = rotate(self.imt[0])
          expected = list()
          for channel in self.imt[0]:
              expected.append(np.rot90(channel, 1, (0, 1)))
          expected = np.stack(expected)
          self.assertTrue(np.allclose(rotated, expected))
  
      def test_prob_k_spatial_axes(self):
          rotate = Rotate90(k=2, spatial_axes=(0, 1))
          rotated = rotate(self.imt[0])
          expected = list()
          for channel in self.imt[0]:
              expected.append(np.rot90(channel, 2, (0, 1)))
          expected = np.stack(expected)
          self.assertTrue(np.allclose(rotated, expected))
  
  
  if __name__ == '__main__':
      unittest.main()
  