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# Licensed to the Apache Software Foundation (ASF) under one or more
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# 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
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#    http://www.apache.org/licenses/LICENSE-2.0
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import unittest

import pandas as pd
from pyspark import pandas as ps
from pyspark.pandas.tests.test_numpy_compat import NumPyCompatTestsMixin
from pyspark.testing.connectutils import ReusedConnectTestCase
from pyspark.testing.pandasutils import PandasOnSparkTestUtils


class NumPyCompatParityTests(NumPyCompatTestsMixin, PandasOnSparkTestUtils, ReusedConnectTestCase):
    @property
    def pdf(self):
        return pd.DataFrame(
            {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [4, 5, 6, 3, 2, 1, 0, 0, 0]},
            index=[0, 1, 3, 5, 6, 8, 9, 9, 9],
        )

    @property
    def psdf(self):
        return ps.from_pandas(self.pdf)

    @unittest.skip(
        "TODO(SPARK-43656): Fix pyspark.sql.column._to_java_column to accept Connect Column."
    )
    def test_np_spark_compat_frame(self):
        super().test_np_spark_compat_frame()

    @unittest.skip(
        "TODO(SPARK-43656): Fix pyspark.sql.column._to_java_column to accept Connect Column."
    )
    def test_np_spark_compat_series(self):
        super().test_np_spark_compat_series()


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

    try:
        import xmlrunner  # type: ignore[import]

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