03306a6df3
## What changes were proposed in this pull request? This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/tests.py` into ...: ``` pyspark ... ├── testing ... │ └── utils.py ├── tests │ ├── __init__.py │ ├── test_appsubmit.py │ ├── test_broadcast.py │ ├── test_conf.py │ ├── test_context.py │ ├── test_daemon.py │ ├── test_join.py │ ├── test_profiler.py │ ├── test_rdd.py │ ├── test_readwrite.py │ ├── test_serializers.py │ ├── test_shuffle.py │ ├── test_taskcontext.py │ ├── test_util.py │ └── test_worker.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ```bash SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23033 from HyukjinKwon/SPARK-26036. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
87 lines
3 KiB
Python
87 lines
3 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 unittest
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from py4j.protocol import Py4JJavaError
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from pyspark import keyword_only
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from pyspark.testing.utils import PySparkTestCase
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class KeywordOnlyTests(unittest.TestCase):
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class Wrapped(object):
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@keyword_only
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def set(self, x=None, y=None):
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if "x" in self._input_kwargs:
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self._x = self._input_kwargs["x"]
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if "y" in self._input_kwargs:
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self._y = self._input_kwargs["y"]
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return x, y
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def test_keywords(self):
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w = self.Wrapped()
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x, y = w.set(y=1)
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self.assertEqual(y, 1)
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self.assertEqual(y, w._y)
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self.assertIsNone(x)
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self.assertFalse(hasattr(w, "_x"))
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def test_non_keywords(self):
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w = self.Wrapped()
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self.assertRaises(TypeError, lambda: w.set(0, y=1))
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def test_kwarg_ownership(self):
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# test _input_kwargs is owned by each class instance and not a shared static variable
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class Setter(object):
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@keyword_only
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def set(self, x=None, other=None, other_x=None):
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if "other" in self._input_kwargs:
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self._input_kwargs["other"].set(x=self._input_kwargs["other_x"])
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self._x = self._input_kwargs["x"]
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a = Setter()
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b = Setter()
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a.set(x=1, other=b, other_x=2)
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self.assertEqual(a._x, 1)
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self.assertEqual(b._x, 2)
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class UtilTests(PySparkTestCase):
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def test_py4j_exception_message(self):
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from pyspark.util import _exception_message
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with self.assertRaises(Py4JJavaError) as context:
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# This attempts java.lang.String(null) which throws an NPE.
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self.sc._jvm.java.lang.String(None)
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self.assertTrue('NullPointerException' in _exception_message(context.exception))
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def test_parsing_version_string(self):
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from pyspark.util import VersionUtils
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self.assertRaises(ValueError, lambda: VersionUtils.majorMinorVersion("abced"))
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if __name__ == "__main__":
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from pyspark.tests.test_util import *
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try:
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import xmlrunner
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports')
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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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