text: # Copyright (c) 2020 PaddlePaddle 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 paddle.vision.datasets import *
  
  
  class TestCifar10Train(unittest.TestCase):
      def test_main(self):
          cifar = Cifar10(mode='train')
          self.assertTrue(len(cifar) == 50000)
  
          # traversal whole dataset may cost a
          # long time, randomly check 1 sample
          idx = np.random.randint(0, 50000)
          data, label = cifar[idx]
          self.assertTrue(len(data.shape) == 1)
          self.assertTrue(data.shape[0] == 3072)
          self.assertTrue(0 <= int(label) <= 9)
  
  
  class TestCifar10Test(unittest.TestCase):
      def test_main(self):
          cifar = Cifar10(mode='test')
          self.assertTrue(len(cifar) == 10000)
  
          # traversal whole dataset may cost a
          # long time, randomly check 1 sample
          idx = np.random.randint(0, 10000)
          data, label = cifar[idx]
          self.assertTrue(len(data.shape) == 1)
          self.assertTrue(data.shape[0] == 3072)
          self.assertTrue(0 <= int(label) <= 9)
  
  
  class TestCifar100Train(unittest.TestCase):
      def test_main(self):
          cifar = Cifar100(mode='train')
          self.assertTrue(len(cifar) == 50000)
  
          # traversal whole dataset may cost a
          # long time, randomly check 1 sample
          idx = np.random.randint(0, 50000)
          data, label = cifar[idx]
          self.assertTrue(len(data.shape) == 1)
          self.assertTrue(data.shape[0] == 3072)
          self.assertTrue(0 <= int(label) <= 99)
  
  
  class TestCifar100Test(unittest.TestCase):
      def test_main(self):
          cifar = Cifar100(mode='test')
          self.assertTrue(len(cifar) == 10000)
  
          # traversal whole dataset may cost a
          # long time, randomly check 1 sample
          idx = np.random.randint(0, 10000)
          data, label = cifar[idx]
          self.assertTrue(len(data.shape) == 1)
          self.assertTrue(data.shape[0] == 3072)
          self.assertTrue(0 <= int(label) <= 99)
  
  
  if __name__ == '__main__':
      unittest.main()
  