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Declarative Machine Learning

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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.sysml.runtime.instructions.spark.functions;

import org.apache.spark.api.java.function.PairFunction;

import scala.Tuple2;

import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;

/**
 * General purpose copy function for binary block rdds. This function can be used in
 * mapToPair (copy matrix indexes and blocks). It supports both deep and shallow copies 
 * of key/value pairs.
 * 
 */
public class CopyBlockPairFunction implements PairFunction,MatrixIndexes, MatrixBlock>
{
	private static final long serialVersionUID = -196553327495233360L;

	private boolean _deepCopy = true;
	
	public CopyBlockPairFunction() {
		this(true);
	}
	
	public CopyBlockPairFunction(boolean deepCopy) {
		_deepCopy = deepCopy;
	}

	@Override
	public Tuple2 call(Tuple2 arg0) 
		throws Exception 
	{	
		if( _deepCopy ) {
			MatrixIndexes ix = new MatrixIndexes(arg0._1());
			MatrixBlock block = new MatrixBlock();
			block.copy(arg0._2());
			return new Tuple2(ix,block);
		}
		else {
			return arg0;
		}
	}
}