bbbdaa82a4
## What changes were proposed in this pull request? Currently, some of PySpark tests sill assume the tests could be ran in Python 2.6 by importing `unittest2`. For instance: ```python if sys.version_info[:2] <= (2, 6): try: import unittest2 as unittest except ImportError: sys.stderr.write('Please install unittest2 to test with Python 2.6 or earlier') sys.exit(1) else: import unittest ``` While I am here, I removed some of unused imports and reordered imports per PEP 8. We officially dropped Python 2.6 support a while ago and started to discuss about Python 2 drop. It's better to remove them out. ## How was this patch tested? Manually tests, and existing tests via Jenkins. Closes #23077 from HyukjinKwon/SPARK-26105. Lead-authored-by: hyukjinkwon <gurwls223@apache.org> Co-authored-by: Bryan Cutler <cutlerb@gmail.com> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
36 lines
1.2 KiB
Python
36 lines
1.2 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 pyspark import SparkContext
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from pyspark.serializers import PickleSerializer
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from pyspark.sql import SparkSession
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def make_serializer():
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return PickleSerializer()
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class MLlibTestCase(unittest.TestCase):
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def setUp(self):
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self.sc = SparkContext('local[4]', "MLlib tests")
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self.spark = SparkSession(self.sc)
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def tearDown(self):
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self.spark.stop()
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