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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.udf.lib;
import java.util.Arrays;
import java.util.Comparator;
import org.apache.sysml.udf.FunctionParameter;
import org.apache.sysml.udf.Matrix;
import org.apache.sysml.udf.PackageFunction;
import org.apache.sysml.udf.Scalar;
import org.apache.sysml.udf.Matrix.ValueType;
/**
* Wrapper class for Order rows based on values in a column
*
*/
@Deprecated
public class OrderWrapper extends PackageFunction
{
private static final long serialVersionUID = 1L;
private static final String OUTPUT_FILE = "TMP";
//return matrix
private Matrix ret;
@Override
public int getNumFunctionOutputs()
{
return 1;
}
@Override
public FunctionParameter getFunctionOutput(int pos)
{
if(pos == 0)
return ret;
throw new RuntimeException("Invalid function output being requested");
}
@Override
public void execute()
{
try
{
Matrix inM = (Matrix) getFunctionInput(0);
double [][] inData = inM.getMatrixAsDoubleArray();
int col = Integer.parseInt(((Scalar)getFunctionInput(1)).getValue());
boolean desc = Boolean.parseBoolean(((Scalar)getFunctionInput(2)).getValue());
//sort input matrix (in-place)
if( !desc ) //asc
Arrays.sort(inData, new AscRowComparator(col-1));
else //desc
Arrays.sort(inData, new DescRowComparator(col-1));
//create and copy output matrix
String dir = createOutputFilePathAndName( OUTPUT_FILE );
ret = new Matrix( dir, inM.getNumRows(), inM.getNumCols(), ValueType.Double );
ret.setMatrixDoubleArray(inData);
}
catch (Exception e)
{
throw new RuntimeException("Error executing external order function", e);
}
}
private static class AscRowComparator implements Comparator
{
private int _col = -1;
public AscRowComparator( int col )
{
_col = col;
}
@Override
public int compare(double[] arg0, double[] arg1)
{
return (arg0[_col] < arg1[_col] ? -1 : (arg0[_col] == arg1[_col] ? 0 : 1));
}
}
private static class DescRowComparator implements Comparator
{
private int _col = -1;
public DescRowComparator( int col )
{
_col = col;
}
@Override
public int compare(double[] arg0, double[] arg1)
{
return (arg0[_col] > arg1[_col] ? -1 : (arg0[_col] == arg1[_col] ? 0 : 1));
}
}
}