| # coding=utf-8 |
| # |
| # 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. |
| # |
| |
| from __future__ import absolute_import |
| from __future__ import print_function |
| |
| import unittest |
| |
| import mock |
| |
| from apache_beam.testing.test_pipeline import TestPipeline |
| from apache_beam.testing.util import assert_that |
| from apache_beam.testing.util import equal_to |
| |
| from . import partition |
| |
| |
| def check_partitions(actual1, actual2, actual3): |
| # [START partitions] |
| annuals = [ |
| {'icon': '🍅', 'name': 'Tomato', 'duration': 'annual'}, |
| ] |
| biennials = [ |
| {'icon': '🥕', 'name': 'Carrot', 'duration': 'biennial'}, |
| ] |
| perennials = [ |
| {'icon': '🍓', 'name': 'Strawberry', 'duration': 'perennial'}, |
| {'icon': '🍆', 'name': 'Eggplant', 'duration': 'perennial'}, |
| {'icon': '🥔', 'name': 'Potato', 'duration': 'perennial'}, |
| ] |
| # [END partitions] |
| assert_that(actual1, equal_to(annuals), label='assert annuals') |
| assert_that(actual2, equal_to(biennials), label='assert biennials') |
| assert_that(actual3, equal_to(perennials), label='assert perennials') |
| |
| |
| def check_split_datasets(actual1, actual2): |
| # [START train_test] |
| train_dataset = [ |
| {'icon': '🍓', 'name': 'Strawberry', 'duration': 'perennial'}, |
| {'icon': '🥕', 'name': 'Carrot', 'duration': 'biennial'}, |
| {'icon': '🥔', 'name': 'Potato', 'duration': 'perennial'}, |
| ] |
| test_dataset = [ |
| {'icon': '🍆', 'name': 'Eggplant', 'duration': 'perennial'}, |
| {'icon': '🍅', 'name': 'Tomato', 'duration': 'annual'}, |
| ] |
| # [END train_test] |
| assert_that(actual1, equal_to(train_dataset), label='assert train') |
| assert_that(actual2, equal_to(test_dataset), label='assert test') |
| |
| |
| @mock.patch('apache_beam.Pipeline', TestPipeline) |
| # pylint: disable=line-too-long |
| @mock.patch('apache_beam.examples.snippets.transforms.elementwise.partition.print', lambda elem: elem) |
| # pylint: enable=line-too-long |
| class PartitionTest(unittest.TestCase): |
| def test_partition_function(self): |
| partition.partition_function(check_partitions) |
| |
| def test_partition_lambda(self): |
| partition.partition_lambda(check_partitions) |
| |
| def test_partition_multiple_arguments(self): |
| partition.partition_multiple_arguments(check_split_datasets) |
| |
| |
| if __name__ == '__main__': |
| unittest.main() |