text: # Copyright 2017 The TensorFlow 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.
  # ==============================================================================
  
  """Tests for object_detection.utils.static_shape."""
  
  import tensorflow as tf
  
  from object_detection.utils import static_shape
  
  
  class StaticShapeTest(tf.test.TestCase):
  
    def test_return_correct_batchSize(self):
      tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
      self.assertEqual(32, static_shape.get_batch_size(tensor_shape))
  
    def test_return_correct_height(self):
      tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
      self.assertEqual(299, static_shape.get_height(tensor_shape))
  
    def test_return_correct_width(self):
      tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
      self.assertEqual(384, static_shape.get_width(tensor_shape))
  
    def test_return_correct_depth(self):
      tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
      self.assertEqual(3, static_shape.get_depth(tensor_shape))
  
    def test_die_on_tensor_shape_with_rank_three(self):
      tensor_shape = tf.TensorShape(dims=[32, 299, 384])
      with self.assertRaises(ValueError):
        static_shape.get_batch_size(tensor_shape)
        static_shape.get_height(tensor_shape)
        static_shape.get_width(tensor_shape)
        static_shape.get_depth(tensor_shape)
  
  if __name__ == '__main__':
    tf.test.main()
  