text: # Copyright 2020 The FastEstimator Authors. All Rights Reserved.
  #
  # 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 fastestimator.op.numpyop.univariate import CLAHE
  
  
  class TestCLAHE(unittest.TestCase):
      @classmethod
      def setUpClass(cls):
          cls.single_input = [np.random.randint(16, size=(28, 28, 3), dtype=np.uint8)]
          cls.single_output_shape = (28, 28, 3)
          cls.multi_input = [
              np.random.randint(16, size=(28, 28, 3), dtype=np.uint8),
              np.random.randint(16, size=(28, 28, 3), dtype=np.uint8)
          ]
          cls.multi_output_shape = (28, 28, 3)
  
      def test_single_input(self):
          clahe = CLAHE(inputs='x', outputs='x')
          output = clahe.forward(data=self.single_input, state={})
          with self.subTest('Check output type'):
              self.assertEqual(type(output), list)
          with self.subTest('Check output image shape'):
              self.assertEqual(output[0].shape, self.single_output_shape)
  
      def test_multi_input(self):
          clahe = CLAHE(inputs='x', outputs='x')
          output = clahe.forward(data=self.multi_input, state={})
          with self.subTest('Check output type'):
              self.assertEqual(type(output), list)
          with self.subTest('Check output list length'):
              self.assertEqual(len(output), 2)
          for img_output in output:
              with self.subTest('Check output mask shape'):
                  self.assertEqual(img_output.shape, self.multi_output_shape)
  