text: """Copyright 2019 Google LLC
  
  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
  
      https://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.
  """
  
  from tensorflow.python.platform import googletest
  from metrics import load_pos_neg_attr
  from metrics import compute_and_save_attr
  import random
  import os
  
  class PipelineTest(googletest.TestCase):
  
    def test_compute_and_load_attr_correct(self):
        models = ['obj', 'scene']
        datas = ['scene', 'obj']
        num_imgs = 3
  
        # Sample num_imgs images to compute attributions
        random.seed(0)
        indices = random.sample(range(100), num_imgs)
        
        compute_and_save_attr(models[0], datas[0], indices, 10)
        compute_and_save_attr(models[1], datas[1], indices, 10)
  
        sal_dir_pos = os.path.join(os.getcwd(), 'sal_scratch', models[0] + '-' + datas[0])
        sal_dir_neg = os.path.join(os.getcwd(), 'sal_scratch', models[1] + '-' + datas[1])
  
        # Saliency maps directory contains the right files
        self.assertEqual(len(os.listdir(sal_dir_pos)), num_imgs)
        self.assertEqual(len(os.listdir(sal_dir_neg)), num_imgs)
        self.assertEqual(sorted(os.listdir(sal_dir_pos)), sorted(os.listdir(sal_dir_neg)))
  
        attr_pos, attr_neg = load_pos_neg_attr(models[0], datas[0],
                                               models[1], datas[1])
  
        attr_dir_pos = os.path.join(os.getcwd(), 'attr_scratch', models[0] + '-' + datas[0])
        attr_dir_neg = os.path.join(os.getcwd(), 'attr_scratch', models[1] + '-' + datas[1])
  
        # Attributions directory contains the right files      
        self.assertEqual(len(os.listdir(attr_dir_pos)), num_imgs)
        self.assertEqual(len(os.listdir(attr_dir_neg)), num_imgs)
        self.assertEqual(sorted(os.listdir(attr_dir_pos)), sorted(os.listdir(attr_dir_neg)))
  
        # Attribution is higher in obj model than in scene model for these examples
        self.assertEqual(attr_pos.shape, attr_neg.shape)
        method_indices = [6, 0, 1, 4, 5, 10, 2, 8]
        for i in range(num_imgs):
            for j in method_indices:
                self.assertLess(attr_neg[i,j], attr_pos[i, j])    
  
  if __name__ == '__main__':
      googletest.main()
  