text: # 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_join_op."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  
  
  class StringJoinOpTest(tf.test.TestCase):
  
    def testStringJoin(self):
      input0 = ["a", "b"]
      input1 = "a"
      input2 = [["b"], ["c"]]
  
      with self.test_session():
        output = tf.string_join([input0, input1])
        self.assertAllEqual(output.eval(), [b"aa", b"ba"])
  
        output = tf.string_join([input0, input1], separator="--")
        self.assertAllEqual(output.eval(), [b"a--a", b"b--a"])
  
        output = tf.string_join([input0, input1, input0], separator="--")
        self.assertAllEqual(output.eval(), [b"a--a--a", b"b--a--b"])
  
        output = tf.string_join([input1] * 4, separator="!")
        self.assertEqual(output.eval(), b"a!a!a!a")
  
        output = tf.string_join([input2] * 2, separator="")
        self.assertAllEqual(output.eval(), [[b"bb"], [b"cc"]])
  
        with self.assertRaises(ValueError):  # Inconsistent shapes
          tf.string_join([input0, input2]).eval()
  
  
  if __name__ == "__main__":
    tf.test.main()
  