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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.instructions.spark.functions;
import java.util.Iterator;
import org.apache.spark.api.java.function.FlatMapFunction;
import scala.Tuple2;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.BinaryBlockToTextCellConverter;
public class ConvertMatrixBlockToIJVLines implements FlatMapFunction, String> {
private static final long serialVersionUID = 3555147684480763957L;
int brlen; int bclen;
public ConvertMatrixBlockToIJVLines(int brlen, int bclen) {
this.brlen = brlen;
this.bclen = bclen;
}
@Override
public Iterable call(Tuple2 kv) throws Exception {
final BinaryBlockToTextCellConverter converter = new BinaryBlockToTextCellConverter();
converter.setBlockSize(brlen, bclen);
converter.convert(kv._1, kv._2);
return new Iterable() {
@Override
public Iterator iterator() {
return new Iterator() {
@Override
public void remove() {}
@Override
public String next() {
return converter.next().getValue().toString();
}
@Override
public boolean hasNext() {
return converter.hasNext();
}
};
}
};
}
}