| /* |
| * 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.matrix.data; |
| |
| |
| import java.util.Iterator; |
| |
| import org.apache.hadoop.io.NullWritable; |
| import org.apache.hadoop.io.Text; |
| import org.apache.sysds.runtime.util.UtilFunctions; |
| |
| |
| |
| public class BinaryBlockToTextCellConverter implements |
| Converter<MatrixIndexes, MatrixBlock, NullWritable, Text> |
| { |
| private Iterator<IJV> sparseIterator=null; |
| private double[] denseArray=null; |
| private int denseArraySize=0; |
| private int nextInDenseArray=-1; |
| private boolean sparse=true; |
| private int thisBlockWidth=0; |
| private MatrixIndexes startIndexes=new MatrixIndexes(); |
| private boolean hasValue=false; |
| private int brow; |
| private int bcolumn; |
| |
| private Text value=new Text(); |
| private Pair<NullWritable, Text> pair=new Pair<>(NullWritable.get(), value); |
| |
| private void reset() |
| { |
| sparseIterator=null; |
| denseArray=null; |
| denseArraySize=0; |
| nextInDenseArray=-1; |
| sparse=true; |
| thisBlockWidth=0; |
| } |
| |
| /** |
| * Before calling convert, please make sure to setBlockSize(blen, blen); |
| */ |
| @Override |
| public void convert(MatrixIndexes k1, MatrixBlock v1) { |
| reset(); |
| startIndexes.setIndexes(UtilFunctions.computeCellIndex(k1.getRowIndex(), brow,0), |
| UtilFunctions.computeCellIndex(k1.getColumnIndex(),bcolumn,0)); |
| sparse=v1.isInSparseFormat(); |
| thisBlockWidth=v1.getNumColumns(); |
| if(sparse) |
| { |
| sparseIterator=v1.getSparseBlockIterator(); |
| } |
| else |
| { |
| if(v1.getDenseBlock()==null) |
| return; |
| denseArray=v1.getDenseBlockValues(); |
| nextInDenseArray=0; |
| denseArraySize=v1.getNumRows()*v1.getNumColumns(); |
| } |
| hasValue=(v1.getNonZeros()>0); |
| } |
| |
| @Override |
| public boolean hasNext() { |
| if(sparse) |
| { |
| if(sparseIterator==null) |
| hasValue=false; |
| else |
| hasValue=sparseIterator.hasNext(); |
| }else |
| { |
| if(denseArray==null) |
| hasValue=false; |
| else |
| { |
| while(nextInDenseArray<denseArraySize && denseArray[nextInDenseArray]==0) |
| nextInDenseArray++; |
| hasValue=(nextInDenseArray<denseArraySize); |
| } |
| } |
| return hasValue; |
| } |
| |
| @Override |
| public Pair<NullWritable, Text> next() { |
| if(!hasValue) |
| return null; |
| long i, j; |
| double v; |
| if(sparse) |
| { |
| if(sparseIterator==null) |
| return null; |
| else |
| { |
| IJV cell = sparseIterator.next(); |
| i = cell.getI() + startIndexes.getRowIndex(); |
| j = cell.getJ() + startIndexes.getColumnIndex(); |
| v = cell.getV(); |
| } |
| |
| }else |
| { |
| if(denseArray==null) |
| return null; |
| else |
| { |
| i=startIndexes.getRowIndex() + nextInDenseArray/thisBlockWidth; |
| j=startIndexes.getColumnIndex() + nextInDenseArray%thisBlockWidth; |
| v=denseArray[nextInDenseArray]; |
| nextInDenseArray++; |
| } |
| } |
| value.set(i+" "+j+" "+v); |
| return pair; |
| } |
| |
| @Override |
| public void setBlockSize(int nr, int nc) { |
| brow=nr; |
| bcolumn=nc; |
| } |
| } |