python/pyspark/pandas/tests/groupby/test_split_apply_skew.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
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# distributed under the License is distributed on an "AS IS" BASIS,
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import unittest

from pyspark.testing.pandasutils import PandasOnSparkTestCase
from pyspark.testing.sqlutils import SQLTestUtils
from pyspark.pandas.tests.groupby.test_split_apply import GroupbySplitApplyTestingFuncMixin


class GroupbySplitApplySkewMixin(GroupbySplitApplyTestingFuncMixin):
    def test_split_apply_combine_on_series(self):
        funcs = [
            ((False, False), ["skew"]),
        ]
        self._test_split_apply_func(funcs)


class GroupbySplitApplySkewTests(
    GroupbySplitApplySkewMixin,
    PandasOnSparkTestCase,
    SQLTestUtils,
):
    pass


if __name__ == "__main__":
    from pyspark.pandas.tests.groupby.test_split_apply_skew import *  # noqa: F401

    try:
        import xmlrunner

        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
    except ImportError:
        testRunner = None
    unittest.main(testRunner=testRunner, verbosity=2)