47d62af2a9
### What changes were proposed in this pull request? Now that we merged the Koalas main code into the PySpark code base (#32036), we should port the Koalas internal implementation unit tests to PySpark. ### Why are the changes needed? Currently, the pandas-on-Spark modules are not tested fully. We should enable the internal implementation unit tests. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Enable internal implementation unit tests. Closes #32137 from xinrong-databricks/port.test_internal_impl. Lead-authored-by: Xinrong Meng <xinrong.meng@databricks.com> Co-authored-by: xinrong-databricks <47337188+xinrong-databricks@users.noreply.github.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
105 lines
3.6 KiB
Python
105 lines
3.6 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import pandas as pd
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from pyspark.pandas.testing.utils import ReusedSQLTestCase, SQLTestUtils
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from pyspark.pandas.utils import (
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lazy_property,
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validate_arguments_and_invoke_function,
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validate_bool_kwarg,
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)
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some_global_variable = 0
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class UtilsTest(ReusedSQLTestCase, SQLTestUtils):
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# a dummy to_html version with an extra parameter that pandas does not support
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# used in test_validate_arguments_and_invoke_function
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def to_html(self, max_rows=None, unsupported_param=None):
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args = locals()
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pdf = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
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validate_arguments_and_invoke_function(pdf, self.to_html, pd.DataFrame.to_html, args)
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def to_clipboard(self, sep=",", **kwargs):
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args = locals()
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pdf = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
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validate_arguments_and_invoke_function(
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pdf, self.to_clipboard, pd.DataFrame.to_clipboard, args
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)
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# Support for **kwargs
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self.to_clipboard(sep=",", index=False)
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def test_validate_arguments_and_invoke_function(self):
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# This should pass and run fine
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self.to_html()
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self.to_html(unsupported_param=None)
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self.to_html(max_rows=5)
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# This should fail because we are explicitly setting an unsupported param
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# to a non-default value
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with self.assertRaises(TypeError):
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self.to_html(unsupported_param=1)
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def test_lazy_property(self):
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obj = TestClassForLazyProp()
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# If lazy prop is not working, the second test would fail (because it'd be 2)
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self.assert_eq(obj.lazy_prop, 1)
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self.assert_eq(obj.lazy_prop, 1)
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def test_validate_bool_kwarg(self):
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# This should pass and run fine
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koalas = True
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self.assert_eq(validate_bool_kwarg(koalas, "koalas"), True)
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koalas = False
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self.assert_eq(validate_bool_kwarg(koalas, "koalas"), False)
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koalas = None
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self.assert_eq(validate_bool_kwarg(koalas, "koalas"), None)
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# This should fail because we are explicitly setting a non-boolean value
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koalas = "true"
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with self.assertRaisesRegex(
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ValueError, 'For argument "koalas" expected type bool, received type str.'
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):
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validate_bool_kwarg(koalas, "koalas")
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class TestClassForLazyProp:
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def __init__(self):
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self.some_variable = 0
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@lazy_property
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def lazy_prop(self):
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self.some_variable += 1
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return self.some_variable
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if __name__ == "__main__":
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import unittest
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from pyspark.pandas.tests.test_utils import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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