# 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
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"""Tests for learn.dataframe.transforms.reader_source."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf

import tensorflow.contrib.learn.python.learn.dataframe.transforms.reader_source as rs


class ReaderSourceTestCase(tf.test.TestCase):
  """Test class for ReaderSource."""

  def setUp(self):
    super(ReaderSourceTestCase, self).setUp()
    self.work_units = [str(x) for x in range(1000)]

  def testNoShuffle(self):
    id_source = rs.ReaderSource(reader_cls=tf.IdentityReader,
                                work_units=self.work_units,
                                batch_size=1,
                                shuffle=False,
                                num_threads=1)
    index_column, value_column = id_source()
    index_tensor = index_column.build()
    value_tensor = value_column.build()
    self.assertEqual([1], index_tensor.get_shape().as_list())
    self.assertEqual([1], value_tensor.get_shape().as_list())
    with self.test_session() as sess:
      tf.initialize_all_variables().run()
      coord = tf.train.Coordinator()
      threads = tf.train.start_queue_runners(sess=sess, coord=coord)
      for i in range(50):
        index, value = sess.run([index_tensor, value_tensor])
        self.assertEqual(i, int(index[0]))
        self.assertEqual(i, int(value[0]))
      coord.request_stop()
      coord.join(threads)

  def testYesShuffle(self):
    id_source = rs.ReaderSource(reader_cls=tf.IdentityReader,
                                work_units=self.work_units,
                                batch_size=1,
                                shuffle=True,
                                num_threads=10,
                                seed=1234)
    index_column, value_column = id_source()
    cache = {}
    index_tensor = index_column.build(cache)
    value_tensor = value_column.build(cache)
    self.assertEqual([1], index_tensor.get_shape().as_list())
    self.assertEqual([1], value_tensor.get_shape().as_list())
    seen = set([])
    with self.test_session() as sess:
      tf.initialize_all_variables().run()
      coord = tf.train.Coordinator()
      threads = tf.train.start_queue_runners(sess=sess, coord=coord)
      for _ in range(500):
        index, value = sess.run([index_tensor, value_tensor])
        self.assertEqual(index, value)
        self.assertNotIn(int(value[0]), seen)
        seen.add(int(value[0]))
      coord.request_stop()
      coord.join(threads)


if __name__ == "__main__":
  tf.test.main()
