old_contents: # Copyright 2015 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 DecodeRaw op from parsing_ops."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  import gzip
  import sys
  import zlib
  
  from six import StringIO
  
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.platform import test
  
  
  class DecodeCompressedOpTest(test.TestCase):
  
    def _compress(self, bytes, compression_type):
      if compression_type == "":
        return bytes
      elif compression_type == "ZLIB":
        return zlib.compress(bytes)
      else:
        out = StringIO()
        with gzip.GzipFile(fileobj=out, mode="w") as f:
          f.write(bytes)
        return out.getvalue()
  
    def testDecompress(self):
      for compression_type in ["ZLIB", "GZIP", ""]:
        with self.test_session():
          in_bytes = array_ops.placeholder(dtypes.string, shape=[2])
          decompressed = parsing_ops.decode_compressed(
              in_bytes, compression_type=compression_type)
          self.assertEqual([2], decompressed.get_shape().as_list())
  
          result = decompressed.eval(
              feed_dict={in_bytes: [self._compress("AaAA", compression_type),
                                    self._compress("bBbb", compression_type)]})
          self.assertAllEqual(["AaAA", "bBbb"], result)
  
    def testDecompressWithRaw(self):
      for compression_type in ["ZLIB", "GZIP", ""]:
        with self.test_session():
          in_bytes = array_ops.placeholder(dtypes.string, shape=[None])
          decompressed = parsing_ops.decode_compressed(
              in_bytes, compression_type=compression_type)
          decode = parsing_ops.decode_raw(decompressed, out_type=dtypes.int16)
  
          result = decode.eval(
              feed_dict={in_bytes: [self._compress("AaBC", compression_type)]})
          self.assertAllEqual(
              [[ord("A") + ord("a") * 256, ord("B") + ord("C") * 256]], result)
  
  
  if __name__ == "__main__":
    test.main()
  
new_contents: # Copyright 2015 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 DecodeRaw op from parsing_ops."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import numpy as np
  import gzip
  import sys
  import zlib
  
  from six import BytesIO
  
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.platform import test
  
  
  class DecodeCompressedOpTest(test.TestCase):
  
    def _compress(self, bytes, compression_type):
      if compression_type == "":
        return bytes
      elif compression_type == "ZLIB":
        return zlib.compress(bytes)
      else:
        out = BytesIO()
        with gzip.GzipFile(fileobj=out, mode="wb") as f:
          f.write(bytes)
        return out.getvalue()
  
    def testDecompress(self):
      for compression_type in ["ZLIB", "GZIP", ""]:
        with self.test_session():
          in_bytes = array_ops.placeholder(dtypes.string, shape=[2])
          decompressed = parsing_ops.decode_compressed(
              in_bytes, compression_type=compression_type)
          self.assertEqual([2], decompressed.get_shape().as_list())
  
          result = decompressed.eval(
              feed_dict={in_bytes: [self._compress(b"AaAA", compression_type),
                                    self._compress(b"bBbb", compression_type)]})
          self.assertAllEqual([b"AaAA", b"bBbb"], result)
  
    def testDecompressWithRaw(self):
      for compression_type in ["ZLIB", "GZIP", ""]:
        with self.test_session():
          in_bytes = array_ops.placeholder(dtypes.string, shape=[None])
          decompressed = parsing_ops.decode_compressed(
              in_bytes, compression_type=compression_type)
          decode = parsing_ops.decode_raw(decompressed, out_type=dtypes.int16)
  
          result = decode.eval(
              feed_dict={in_bytes: [self._compress(b"AaBC", compression_type)]})
          self.assertAllEqual(
              [[ord("A") + ord("a") * 256, ord("B") + ord("C") * 256]], result)
  
  
  if __name__ == "__main__":
    test.main()
  
subject: Fix python 3 error `a bytes-like object is required, not 'str'`