old_contents: # Copyright 2018 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 slices module."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.contrib.autograph.operators import slices
  from tensorflow.python.framework import constant_op
  from tensorflow.python.ops import list_ops
  from tensorflow.python.platform import test
  
  
  class SlicesTest(test.TestCase):
  
    def test_set_item_tensor_list(self):
      initial_list = constant_op.constant([[1, 2], [3, 4]])
      elem_shape = constant_op.constant([2])
      l = list_ops.tensor_list_from_tensor(initial_list, element_shape=elem_shape)
      l = slices.set_item(l, 0, [5, 6])
  
      with self.test_session() as sess:
        t = list_ops.tensor_list_stack(l, element_dtype=initial_list.dtype)
        self.assertAllEqual(sess.run(t), [[5, 6], [3, 4]])
  
    def test_get_item_tensor_list(self):
      initial_list = constant_op.constant([[1, 2], [3, 4]])
      elem_shape = constant_op.constant([2])
      l = list_ops.tensor_list_from_tensor(initial_list, element_shape=elem_shape)
      t = slices.get_item(
          l, 1, slices.GetItemOpts(element_dtype=initial_list.dtype))
  
      with self.test_session() as sess:
        self.assertAllEqual(sess.run(t), [3, 4])
  
    def test_get_item_tensor_string(self):
      initial_str = constant_op.constant("abcd")
      t = slices.get_item(initial_str, 1, slices.GetItemOpts(element_dtype=initial_str.dtype))
  
      with self.test_session() as sess:
        self.assertEqual(sess.run(t), b"b")
  
      initial_list_str = constant_op.constant(["abcd", "bcde"])
      t = slices.get_item(initial_list_str, 1, slices.GetItemOpts(element_dtype=initial_str.dtype))
  
      with self.test_session() as sess:
        self.assertEqual(sess.run(t), b"bcde")
  
  
  if __name__ == '__main__':
    test.main()
  
new_contents: # Copyright 2018 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 slices module."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.contrib.autograph.operators import slices
  from tensorflow.python.framework import constant_op
  from tensorflow.python.ops import list_ops
  from tensorflow.python.platform import test
  
  
  class SlicesTest(test.TestCase):
  
    def test_set_item_tensor_list(self):
      initial_list = constant_op.constant([[1, 2], [3, 4]])
      elem_shape = constant_op.constant([2])
      l = list_ops.tensor_list_from_tensor(initial_list, element_shape=elem_shape)
      l = slices.set_item(l, 0, [5, 6])
  
      with self.test_session() as sess:
        t = list_ops.tensor_list_stack(l, element_dtype=initial_list.dtype)
        self.assertAllEqual(sess.run(t), [[5, 6], [3, 4]])
  
    def test_get_item_tensor_list(self):
      initial_list = constant_op.constant([[1, 2], [3, 4]])
      elem_shape = constant_op.constant([2])
      l = list_ops.tensor_list_from_tensor(initial_list, element_shape=elem_shape)
      t = slices.get_item(
          l, 1, slices.GetItemOpts(element_dtype=initial_list.dtype))
  
      with self.test_session() as sess:
        self.assertAllEqual(sess.run(t), [3, 4])
  
    def test_get_item_tensor_string(self):
      initial_str = constant_op.constant('abcd')
      t = slices.get_item(initial_str, 1, slices.GetItemOpts(element_dtype=initial_str.dtype))
  
      with self.test_session() as sess:
        self.assertEqual(sess.run(t), b'b')
  
      initial_list_str = constant_op.constant(['abcd', 'bcde'])
      t = slices.get_item(initial_list_str, 1, slices.GetItemOpts(element_dtype=initial_str.dtype))
  
      with self.test_session() as sess:
        self.assertEqual(sess.run(t), b"bcde")
  
  
  if __name__ == '__main__':
    test.main()
  
subject: use single quotation marks for single-line strings