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* [BEAM-5878] add tests for kwonly args in python 3 * [BEAM-5878] skip python3 sytntax tests in pylint and tox on python 2
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sdks/python/apache_beam/transforms/transforms_keyword_only_args_py3_only_test.py
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# | ||
# 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. | ||
# | ||
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"""Unit tests for side inputs.""" | ||
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from __future__ import absolute_import | ||
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import logging | ||
import unittest | ||
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import apache_beam as beam | ||
from apache_beam.testing.test_pipeline import TestPipeline | ||
from apache_beam.testing.util import assert_that | ||
from apache_beam.testing.util import equal_to | ||
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@unittest.skip('TODO BEAM-5878: support kwonly args in python 3') | ||
class KeywordOnlyArgsTests(unittest.TestCase): | ||
# Enable nose tests running in parallel | ||
_multiprocess_can_split_ = True | ||
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def test_side_input_keyword_only_args(self): | ||
pipeline = TestPipeline() | ||
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def sort_with_side_inputs(x, *s, reverse=False): | ||
for y in s: | ||
yield sorted([x] + y, reverse=reverse) | ||
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pcol = pipeline | 'start' >> beam.Create([1, 2]) | ||
side = pipeline | 'side' >> beam.Create([3, 4]) # 2 values in side input. | ||
result1 = pcol | 'compute1' >> beam.FlatMap( | ||
sort_with_side_inputs, | ||
beam.pvalue.AsList(side), reverse=True) | ||
assert_that(result1, equal_to([[4,3,1], [4,3,2]]), label='assert1') | ||
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result2 = pcol | 'compute2' >> beam.FlatMap( | ||
sort_with_side_inputs, | ||
beam.pvalue.AsIter(side)) | ||
assert_that(result2, equal_to([[1,3,4], [2,3,4]]), label='assert2') | ||
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result3 = pcol | 'compute3' >> beam.FlatMap( | ||
sort_with_side_inputs) | ||
assert_that(result3, equal_to([]), label='assert3') | ||
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result4 = pcol | 'compute4' >> beam.FlatMap( | ||
sort_with_side_inputs, reverse=True) | ||
assert_that(result4, equal_to([]), label='assert4') | ||
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pipeline.run() | ||
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def test_combine_keyword_only_args(self): | ||
pipeline = TestPipeline() | ||
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def bounded_sum(values, *s, bound=500): | ||
return min(sum(values) + sum(s), bound) | ||
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pcoll = pipeline | 'start' >> beam.Create([6, 3, 1]) | ||
result1 = pcoll | 'sum1' >> beam.CombineGlobally(bounded_sum, 5, 8, bound=20) | ||
result2 = pcoll | 'sum2' >> beam.CombineGlobally(bounded_sum, 5, 8) | ||
result3 = pcoll | 'sum3' >> beam.CombineGlobally(bounded_sum) | ||
result4 = pcoll | 'sum4' >> beam.CombineGlobally(bounded_sum, bound=5) | ||
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assert_that(result1, equal_to([20]), label='assert1') | ||
assert_that(result2, equal_to([23]), label='assert2') | ||
assert_that(result3, equal_to([10]), label='assert3') | ||
assert_that(result4, equal_to([5]), label='assert4') | ||
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pipeline.run() | ||
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def test_do_fn_keyword_only_args(self): | ||
pipeline = TestPipeline() | ||
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class MyDoFn(beam.DoFn): | ||
def process(self, element, *s, bound=500): | ||
return [min(sum(s) + element, bound)] | ||
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pcoll = pipeline | 'start' >> beam.Create([6, 3, 1]) | ||
result1 = pcoll | 'sum1' >> beam.ParDo(MyDoFn(), 5, 8, bound=15) | ||
result2 = pcoll | 'sum2' >> beam.ParDo(MyDoFn(), 5, 8) | ||
result3 = pcoll | 'sum3' >> beam.ParDo(MyDoFn()) | ||
result4 = pcoll | 'sum4' >> beam.ParDo(MyDoFn(), bound=5) | ||
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assert_that(result1, equal_to([15,15,14]), label='assert1') | ||
assert_that(result2, equal_to([19,16,14]), label='assert2') | ||
assert_that(result3, equal_to([6,3,1]), label='assert3') | ||
assert_that(result4, equal_to([5,3,1]), label='assert4') | ||
pipeline.run() | ||
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if __name__ == '__main__': | ||
logging.getLogger().setLevel(logging.DEBUG) | ||
unittest.main() |
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