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>
51 lines
2 KiB
Python
51 lines
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.ml.linalg import Vectors
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from pyspark.ml.stat import ChiSquareTest
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from pyspark.sql import DataFrame
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from pyspark.testing.mlutils import SparkSessionTestCase
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class ChiSquareTestTests(SparkSessionTestCase):
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def test_chisquaretest(self):
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data = [[0, Vectors.dense([0, 1, 2])],
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[1, Vectors.dense([1, 1, 1])],
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[2, Vectors.dense([2, 1, 0])]]
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df = self.spark.createDataFrame(data, ['label', 'feat'])
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res = ChiSquareTest.test(df, 'feat', 'label')
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# This line is hitting the collect bug described in #17218, commented for now.
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# pValues = res.select("degreesOfFreedom").collect())
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self.assertIsInstance(res, DataFrame)
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fieldNames = set(field.name for field in res.schema.fields)
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expectedFields = ["pValues", "degreesOfFreedom", "statistics"]
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self.assertTrue(all(field in fieldNames for field in expectedFields))
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if __name__ == "__main__":
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from pyspark.ml.tests.test_stat 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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