#
#  Copyright 2019 The FATE Authors. All Rights Reserved.
#
#  Licensed 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.
#
from pyspark import SparkContext
sc = SparkContext('local', 'test')
a = []
for i in range(10):
    a.append((i, str(i)))
rdd1 = sc.parallelize(a)
rdd2 = rdd1.mapValues(f=lambda x: x + "1")

for k, v in rdd2.collect():
    print(f"{type(k)}: {k} {type(v)} {v}")