old_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You 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.
  #
  
  """Test for the autocomplete example."""
  
  from __future__ import absolute_import
  
  import unittest
  
  from nose.plugins.attrib import attr
  
  import apache_beam as beam
  from apache_beam.examples.complete import autocomplete
  from apache_beam.testing.test_pipeline import TestPipeline
  from apache_beam.testing.util import assert_that
  from apache_beam.testing.util import equal_to
  
  
  class AutocompleteTest(unittest.TestCase):
  
    WORDS = ['this', 'this', 'that', 'to', 'to', 'to']
    KINGLEAR_HASH_SUM = 3104188901048578415956L
    KINGLEAR_INPUT = 'gs://dataflow-samples/shakespeare/kinglear.txt'
  
    def test_top_prefixes(self):
      with TestPipeline() as p:
        words = p | beam.Create(self.WORDS)
        result = words | autocomplete.TopPerPrefix(5)
        # values must be hashable for now
        result = result | beam.Map(lambda k_vs: (k_vs[0], tuple(k_vs[1])))
        assert_that(result, equal_to(
            [
                ('t', ((3, 'to'), (2, 'this'), (1, 'that'))),
                ('to', ((3, 'to'), )),
                ('th', ((2, 'this'), (1, 'that'))),
                ('thi', ((2, 'this'), )),
                ('this', ((2, 'this'), )),
                ('tha', ((1, 'that'), )),
                ('that', ((1, 'that'), )),
            ]))
  
    @attr('IT')
    def test_autocomplete_it(self):
      with TestPipeline(is_integration_test=True) as p:
        words = p | beam.io.ReadFromText(self.KINGLEAR_INPUT)
        result = words | autocomplete.TopPerPrefix(10)
        # values must be hashable for now
        result = result | beam.Map(lambda k_vs: (k_vs[0], tuple(k_vs[1])))
        checksum = result | beam.Map(hash) | beam.CombineGlobally(sum)
  
        assert_that(checksum, equal_to([self.KINGLEAR_HASH_SUM]))
  
  
  if __name__ == '__main__':
    unittest.main()
  
new_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You 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.
  #
  
  """Test for the autocomplete example."""
  
  from __future__ import absolute_import
  
  import unittest
  
  from nose.plugins.attrib import attr
  
  import apache_beam as beam
  from apache_beam.examples.complete import autocomplete
  from apache_beam.testing.test_pipeline import TestPipeline
  from apache_beam.testing.util import assert_that
  from apache_beam.testing.util import equal_to
  
  
  class AutocompleteTest(unittest.TestCase):
  
    WORDS = ['this', 'this', 'that', 'to', 'to', 'to']
    KINGLEAR_HASH_SUM = 3104188901048578415956
    KINGLEAR_INPUT = 'gs://dataflow-samples/shakespeare/kinglear.txt'
  
    def test_top_prefixes(self):
      with TestPipeline() as p:
        words = p | beam.Create(self.WORDS)
        result = words | autocomplete.TopPerPrefix(5)
        # values must be hashable for now
        result = result | beam.Map(lambda k_vs: (k_vs[0], tuple(k_vs[1])))
        assert_that(result, equal_to(
            [
                ('t', ((3, 'to'), (2, 'this'), (1, 'that'))),
                ('to', ((3, 'to'), )),
                ('th', ((2, 'this'), (1, 'that'))),
                ('thi', ((2, 'this'), )),
                ('this', ((2, 'this'), )),
                ('tha', ((1, 'that'), )),
                ('that', ((1, 'that'), )),
            ]))
  
    @attr('IT')
    def test_autocomplete_it(self):
      with TestPipeline(is_integration_test=True) as p:
        words = p | beam.io.ReadFromText(self.KINGLEAR_INPUT)
        result = words | autocomplete.TopPerPrefix(10)
        # values must be hashable for now
        result = result | beam.Map(lambda k_vs: (k_vs[0], tuple(k_vs[1])))
        checksum = result | beam.Map(hash) | beam.CombineGlobally(sum)
  
        assert_that(checksum, equal_to([self.KINGLEAR_HASH_SUM]))
  
  
  if __name__ == '__main__':
    unittest.main()
  
subject: Fix issue