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

#
# 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 unittest

from pyspark import SparkContext
from pyspark.sql import SparkSession


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()