spark-instrumented-optimizer/python/pyspark/testing/mllibutils.py

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#
# 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 sys
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
from pyspark import SparkContext
from pyspark.serializers import PickleSerializer
from pyspark.sql import SparkSession
def make_serializer():
return PickleSerializer()
class MLlibTestCase(unittest.TestCase):
def setUp(self):
self.sc = SparkContext('local[4]', "MLlib tests")
self.spark = SparkSession(self.sc)
def tearDown(self):
self.spark.stop()