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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 java.io.DataInput;
import java.io.DataOutput;
import java.io.Externalizable;
import java.io.IOException;
import java.io.ObjectInput;
import java.io.ObjectOutput;
import org.apache.hadoop.io.RawComparator;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.WritableComparator;
import org.apache.sysml.runtime.util.UtilFunctions;
/**
* This represent the indexes to the blocks of the matrix.
* Please note that these indexes are 1-based, whereas the data in the block are zero-based (as they are double arrays).
*/
public class MatrixIndexes implements WritableComparable, RawComparator, Externalizable
{
private static final long serialVersionUID = -1521166657518127789L;
private long _row = -1;
private long _col = -1;
///////////////////////////
// constructors
public MatrixIndexes() {
//do nothing
}
public MatrixIndexes(long r, long c) {
setIndexes(r,c);
}
public MatrixIndexes(MatrixIndexes indexes) {
setIndexes(indexes._row, indexes._col);
}
///////////////////////////
// get/set methods
public long getRowIndex() {
return _row;
}
public long getColumnIndex() {
return _col;
}
public void setIndexes(long r, long c) {
_row = r;
_col = c;
}
public void setIndexes(MatrixIndexes that) {
_row = that._row;
_col = that._col;
}
@Override
public int compareTo(MatrixIndexes other) {
if( _row != other._row )
return (_row > other._row ? 1 : -1);
else if( _col != other._col)
return (_col > other._col ? 1 : -1);
return 0;
}
@Override
public boolean equals(Object other) {
if( !(other instanceof MatrixIndexes))
return false;
MatrixIndexes tother = (MatrixIndexes)other;
return (_row==tother._row && _col==tother._col);
}
@Override
public int hashCode() {
return UtilFunctions.longlongHashCode(_row, _col);
}
@Override
public String toString() {
return "("+_row+", "+_col+")";
}
////////////////////////////////////////////////////
// implementation of Writable read/write
@Override
public void readFields(DataInput in)
throws IOException
{
_row = in.readLong();
_col = in.readLong();
}
@Override
public void write(DataOutput out)
throws IOException
{
out.writeLong( _row );
out.writeLong( _col );
}
////////////////////////////////////////////////////
// implementation of Externalizable read/write
/**
* Redirects the default java serialization via externalizable to our default
* hadoop writable serialization for consistency/maintainability.
*
* @param is object input
* @throws IOException if IOException occurs
*/
public void readExternal(ObjectInput is)
throws IOException
{
//default deserialize (general case)
readFields(is);
}
/**
* Redirects the default java serialization via externalizable to our default
* hadoop writable serialization for consistency/maintainability.
*
* @param os object output
* @throws IOException if IOException occurs
*/
public void writeExternal(ObjectOutput os)
throws IOException
{
//default serialize (general case)
write(os);
}
////////////////////////////////////////////////////
// implementation of RawComparator
@Override
public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2)
{
//compare row
long v1 = WritableComparator.readLong(b1, s1);
long v2 = WritableComparator.readLong(b2, s2);
if(v1!=v2)
return v1