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 record_input_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import os
  
  from tensorflow.python.lib.io import tf_record
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
  
  
  class RecordInputOpTest(test.TestCase):
  
    def generateTestData(self, prefix, n, m):
      for i in range(n):
        f = os.path.join(self.get_temp_dir(), prefix + "." + str(i))
        w = tf_record.TFRecordWriter(f)
  
        for j in range(m):
          w.write("{0:0{width}}".format(i * m + j, width=10))
  
      w.close()
  
    def testRecordInputSimple(self):
      with self.test_session() as sess:
        self.generateTestData("basic", 1, 1)
  
        yield_op = data_flow_ops.RecordInput(
            file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
            parallelism=1,
            buffer_size=1,
            batch_size=1,
            name="record_input").get_yield_op()
  
        self.assertEqual(sess.run(yield_op), "0000000000")
  
    def testRecordInputEpochs(self):
      files = 100
      records_per_file = 100
      with self.test_session() as sess:
        self.generateTestData("basic", files, records_per_file)
  
        records = data_flow_ops.RecordInput(
            file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
            parallelism=2,
            buffer_size=2000,
            batch_size=1,
            shift_ratio=0.33,
            seed=10,
            name="record_input")
  
        yield_op = records.get_yield_op()
  
        # cycle over 3 epochs and make sure we never duplicate
        for _ in range(3):
          epoch_set = set()
          for _ in range(files * records_per_file):
            r = sess.run(yield_op)
            self.assertTrue(r[0] not in epoch_set)
            epoch_set.add(r[0])
  
  
  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 record_input_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import os
  
  from tensorflow.python.lib.io import tf_record
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
  
  
  class RecordInputOpTest(test.TestCase):
  
    def generateTestData(self, prefix, n, m):
      for i in range(n):
        f = os.path.join(self.get_temp_dir(), prefix + "." + str(i))
        w = tf_record.TFRecordWriter(f)
  
        for j in range(m):
          w.write("{0:0{width}}".format(i * m + j, width=10).encode("utf-8"))
  
      w.close()
  
    def testRecordInputSimple(self):
      with self.test_session() as sess:
        self.generateTestData("basic", 1, 1)
  
        yield_op = data_flow_ops.RecordInput(
            file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
            parallelism=1,
            buffer_size=1,
            batch_size=1,
            name="record_input").get_yield_op()
  
        self.assertEqual(sess.run(yield_op), b"0000000000")
  
    def testRecordInputEpochs(self):
      files = 100
      records_per_file = 100
      with self.test_session() as sess:
        self.generateTestData("basic", files, records_per_file)
  
        records = data_flow_ops.RecordInput(
            file_pattern=os.path.join(self.get_temp_dir(), "basic.*"),
            parallelism=2,
            buffer_size=2000,
            batch_size=1,
            shift_ratio=0.33,
            seed=10,
            name="record_input")
  
        yield_op = records.get_yield_op()
  
        # cycle over 3 epochs and make sure we never duplicate
        for _ in range(3):
          epoch_set = set()
          for _ in range(files * records_per_file):
            r = sess.run(yield_op)
            self.assertTrue(r[0] not in epoch_set)
            epoch_set.add(r[0])
  
  
  if __name__ == "__main__":
    test.main()
  
subject: Fix error in record_input_test due python2 vs 3 difference in writing strings. Change: 144786198