python/pyspark/pandas/tests/window/test_expanding_error.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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import pyspark.pandas as ps
from pyspark.pandas.window import Expanding
from pyspark.testing.pandasutils import PandasOnSparkTestCase


class ExpandingErrorMixin:
    def test_expanding_error(self):
        with self.assertRaisesRegex(ValueError, "min_periods must be >= 0"):
            ps.range(10).expanding(-1)

        with self.assertRaisesRegex(
            TypeError, "psdf_or_psser must be a series or dataframe; however, got:.*int"
        ):
            Expanding(1, 2)


class ExpandingErrorTests(
    ExpandingErrorMixin,
    PandasOnSparkTestCase,
):
    pass


if __name__ == "__main__":
    import unittest
    from pyspark.pandas.tests.window.test_expanding_error 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)