old_contents: # Copyright 2016 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 string_strip_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python.ops import string_ops
  from tensorflow.python.platform import test
  
  
  class StringStripOpTest(test.TestCase):
    """ Test cases for tf.string_strip."""
  
    def test_string_strip(self):
      strings = ["pigs on the wing", "animals"]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [b"pigs on the wing", b"animals"])
  
    def test_string_strip_2d(self):
      strings = [["pigs on the wing", "animals"],
                 [" hello ", "\n\tworld \r \n"]]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [[b"pigs on the wing", b"animals"],
                                     [b"hello", b"world"]])
  
    def test_string_strip_with_empty_strings(self):
      strings = [" hello ", "", "world ", " \t \r \n "]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [b"hello", b"", b"world", b""])
  
  
  if __name__ == "__main__":
    test.main()
  
new_contents: # Copyright 2016 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 string_strip_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python.ops import string_ops
  from tensorflow.python.platform import test
  
  
  class StringStripOpTest(test.TestCase):
    """ Test cases for tf.strings.strip."""
  
    def test_string_strip(self):
      strings = ["pigs on the wing", "animals"]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [b"pigs on the wing", b"animals"])
  
    def test_string_strip_2d(self):
      strings = [["pigs on the wing", "animals"],
                 [" hello ", "\n\tworld \r \n"]]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [[b"pigs on the wing", b"animals"],
                                     [b"hello", b"world"]])
  
    def test_string_strip_with_empty_strings(self):
      strings = [" hello ", "", "world ", " \t \r \n "]
  
      with self.cached_session() as sess:
        output = string_ops.string_strip(strings)
        output = sess.run(output)
        self.assertAllEqual(output, [b"hello", b"", b"world", b""])
  
  
  if __name__ == "__main__":
    test.main()
  
subject: Replace `tf.string_strip` with `tf.strings.strip`