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Declarative Machine Learning
/*
* 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.matrix.data;
import org.apache.hadoop.io.Writable;
public class IdenticalConverter implements Converter
{
private Pair pair=new Pair();
private boolean hasValue=false;
@Override
public void convert(Writable k1, Writable v1) {
pair.set(k1, v1);
hasValue=true;
}
public boolean hasNext() {
return hasValue;
}
public Pair next() {
if(!hasValue)
return null;
hasValue=false;
return pair;
}
@Override
public void setBlockSize(int rl, int cl) {
}
}