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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.
*/
package org.apache.sysds.runtime.controlprogram.paramserv.dp;
import java.util.List;
import org.apache.sysds.runtime.matrix.data.MatrixBlock;
import scala.Tuple2;
/**
* Spark Disjoint_Round_Robin data partitioner:
*/
public class DRRSparkScheme extends DataPartitionSparkScheme {
private static final long serialVersionUID = -3130831851505549672L;
protected DRRSparkScheme() {
// No-args constructor used for deserialization
}
@Override
public Result doPartitioning(int numWorkers, int rblkID, MatrixBlock features, MatrixBlock labels) {
List<Tuple2<Integer, Tuple2<Long, MatrixBlock>>> pfs = nonShuffledPartition(rblkID, features);
List<Tuple2<Integer, Tuple2<Long, MatrixBlock>>> pls = nonShuffledPartition(rblkID, labels);
return new Result(pfs, pls);
}
}