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 estimate_pi example."""
  
  import logging
  import unittest
  
  from apache_beam.examples.complete import estimate_pi
  from apache_beam.test_pipeline import TestPipeline
  from apache_beam.transforms.util import assert_that
  from apache_beam.transforms.util import DataflowAssertException
  
  
  def in_between(lower, upper):
    def _in_between(actual):
      _, _, estimate = actual[0]
      if estimate < lower or estimate > upper:
        raise DataflowAssertException(
            'Failed assert: %f not in [%f, %f]' % (estimate, lower, upper))
    return _in_between
  
  
  class EstimatePiTest(unittest.TestCase):
  
    def test_basics(self):
      p = TestPipeline()
      result = p | 'Estimate' >> estimate_pi.EstimatePiTransform(5000)
  
      # Note: Probabilistically speaking this test can fail with a probability
      # that is very small (VERY) given that we run at least 10 million trials.
      assert_that(result, in_between(3.13, 3.15))
      p.run()
  
  
  if __name__ == '__main__':
    logging.getLogger().setLevel(logging.INFO)
    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 estimate_pi example."""
  
  import logging
  import unittest
  
  from apache_beam.examples.complete import estimate_pi
  from apache_beam.test_pipeline import TestPipeline
  from apache_beam.transforms.util import assert_that
  from apache_beam.transforms.util import DataflowAssertException
  
  
  def in_between(lower, upper):
    def _in_between(actual):
      _, _, estimate = actual[0]
      if estimate < lower or estimate > upper:
        raise DataflowAssertException(
            'Failed assert: %f not in [%f, %f]' % (estimate, lower, upper))
    return _in_between
  
  
  class EstimatePiTest(unittest.TestCase):
  
    def test_basics(self):
      p = TestPipeline()
      result = p | 'Estimate' >> estimate_pi.EstimatePiTransform(5000)
  
      # Note: Probabilistically speaking this test can fail with a probability
      # that is very small (VERY) given that we run at least 500 thousand trials.
      assert_that(result, in_between(3.125, 3.155))
      p.run()
  
  
  if __name__ == '__main__':
    logging.getLogger().setLevel(logging.INFO)
    unittest.main()
  
subject: Increase the bounds on the test to reduce flakiness