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[SPARK-46699][PS][TESTS] Split
ArithmeticTests
### What changes were proposed in this pull request? Split `ArithmeticTests` ### Why are the changes needed? its parity test is slow ### Does this PR introduce _any_ user-facing change? no, test-only ### How was this patch tested? ci ### Was this patch authored or co-authored using generative AI tooling? no Closes #44708 from zhengruifeng/ps_test_split_num_arithmetic. Authored-by: Ruifeng Zheng <[email protected]> Signed-off-by: Hyukjin Kwon <[email protected]>
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43 changes: 43 additions & 0 deletions
43
python/pyspark/pandas/tests/connect/data_type_ops/test_parity_num_mod.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| # | ||
| # 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. | ||
| # | ||
| import unittest | ||
|
|
||
| from pyspark.pandas.tests.data_type_ops.test_num_mod import NumModTestsMixin | ||
| from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase | ||
| from pyspark.testing.pandasutils import PandasOnSparkTestUtils | ||
| from pyspark.testing.connectutils import ReusedConnectTestCase | ||
|
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||
|
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| class NumModParityTests( | ||
| NumModTestsMixin, | ||
| PandasOnSparkTestUtils, | ||
| OpsTestBase, | ||
| ReusedConnectTestCase, | ||
| ): | ||
| pass | ||
|
|
||
|
|
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| if __name__ == "__main__": | ||
| from pyspark.pandas.tests.connect.data_type_ops.test_parity_num_mod import * # noqa | ||
|
|
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| try: | ||
| import xmlrunner # type: ignore[import] | ||
|
|
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| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) | ||
| except ImportError: | ||
| testRunner = None | ||
| unittest.main(testRunner=testRunner, verbosity=2) |
43 changes: 43 additions & 0 deletions
43
python/pyspark/pandas/tests/connect/data_type_ops/test_parity_num_mul_div.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| # | ||
| # 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. | ||
| # | ||
| import unittest | ||
|
|
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| from pyspark.pandas.tests.data_type_ops.test_num_mul_div import NumMulDivTestsMixin | ||
| from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase | ||
| from pyspark.testing.pandasutils import PandasOnSparkTestUtils | ||
| from pyspark.testing.connectutils import ReusedConnectTestCase | ||
|
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|
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| class NumMulDivParityTests( | ||
| NumMulDivTestsMixin, | ||
| PandasOnSparkTestUtils, | ||
| OpsTestBase, | ||
| ReusedConnectTestCase, | ||
| ): | ||
| pass | ||
|
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||
|
|
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| if __name__ == "__main__": | ||
| from pyspark.pandas.tests.connect.data_type_ops.test_parity_num_mul_div import * # noqa | ||
|
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| try: | ||
| import xmlrunner # type: ignore[import] | ||
|
|
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| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) | ||
| except ImportError: | ||
| testRunner = None | ||
| unittest.main(testRunner=testRunner, verbosity=2) |
43 changes: 43 additions & 0 deletions
43
python/pyspark/pandas/tests/connect/data_type_ops/test_parity_num_pow.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| # | ||
| # 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. | ||
| # | ||
| import unittest | ||
|
|
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| from pyspark.pandas.tests.data_type_ops.test_num_pow import NumPowTestsMixin | ||
| from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase | ||
| from pyspark.testing.pandasutils import PandasOnSparkTestUtils | ||
| from pyspark.testing.connectutils import ReusedConnectTestCase | ||
|
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| class NumPowParityTests( | ||
| NumPowTestsMixin, | ||
| PandasOnSparkTestUtils, | ||
| OpsTestBase, | ||
| ReusedConnectTestCase, | ||
| ): | ||
| pass | ||
|
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||
|
|
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| if __name__ == "__main__": | ||
| from pyspark.pandas.tests.connect.data_type_ops.test_parity_num_pow import * # noqa | ||
|
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| try: | ||
| import xmlrunner # type: ignore[import] | ||
|
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| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) | ||
| except ImportError: | ||
| testRunner = None | ||
| unittest.main(testRunner=testRunner, verbosity=2) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| # | ||
| # 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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||
| import unittest | ||
|
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| import pandas as pd | ||
| import numpy as np | ||
|
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| from pyspark import pandas as ps | ||
| from pyspark.testing.pandasutils import PandasOnSparkTestCase | ||
| from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase | ||
|
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| class NumModTestsMixin: | ||
| @property | ||
| def float_pser(self): | ||
| return pd.Series([1, 2, 3], dtype=float) | ||
|
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| @property | ||
| def float_psser(self): | ||
| return ps.from_pandas(self.float_pser) | ||
|
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| def test_mod(self): | ||
| pdf, psdf = self.pdf, self.psdf | ||
| for col in self.numeric_df_cols: | ||
| pser, psser = pdf[col], psdf[col] | ||
| self.assert_eq(pser % pser, psser % psser) | ||
| self.assert_eq(pser % pser.astype(bool), psser % psser.astype(bool)) | ||
| self.assert_eq(pser % True, psser % True) | ||
| if col in ["int", "int32"]: | ||
| self.assert_eq( | ||
| pd.Series([np.nan, np.nan, np.nan], dtype=float, name=col), psser % False | ||
| ) | ||
| else: | ||
| self.assert_eq( | ||
| pd.Series([np.nan, np.nan, np.nan], dtype=pser.dtype, name=col), psser % False | ||
| ) | ||
|
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| for n_col in self.non_numeric_df_cols: | ||
| if n_col == "bool": | ||
| self.assert_eq(pdf["float"] % pdf[n_col], psdf["float"] % psdf[n_col]) | ||
| else: | ||
| self.assertRaises(TypeError, lambda: psser % psdf[n_col]) | ||
|
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|
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| class NumModTests( | ||
| NumModTestsMixin, | ||
| OpsTestBase, | ||
| PandasOnSparkTestCase, | ||
| ): | ||
| pass | ||
|
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| if __name__ == "__main__": | ||
| from pyspark.pandas.tests.data_type_ops.test_num_mod import * # noqa: F401 | ||
|
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| try: | ||
| import xmlrunner | ||
|
|
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| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) | ||
| except ImportError: | ||
| testRunner = None | ||
| unittest.main(testRunner=testRunner, verbosity=2) |
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