estimate_pi_test.py

#
# 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.
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#

"""Test for the estimate_pi example."""

import logging
import unittest

from apache_beam.examples.complete import estimate_pi
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import BeamAssertException


def in_between(lower, upper):
  def _in_between(actual):
    _, _, estimate = actual[0]
    if estimate < lower or estimate > upper:
      raise BeamAssertException(
          'Failed assert: %f not in [%f, %f]' % (estimate, lower, upper))
  return _in_between


class EstimatePiTest(unittest.TestCase):

  def test_basics(self):
    with TestPipeline() as p:
      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))


if __name__ == '__main__':
  logging.getLogger().setLevel(logging.INFO)
  unittest.main()