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/*LICENSE_START*/
/*
* Copyright 1995-2002 Washington University School of Medicine
*
* http://brainmap.wustl.edu
*
* This file is part of CARET.
*
* CARET is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* CARET is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with CARET; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*/
/*LICENSE_END*/
#include <iostream>
#include "BrainModelSurfaceMetricInGroupDifference.h"
#include "DebugControl.h"
#include "FileUtilities.h"
#include "MathUtilities.h"
#include "MetricFile.h"
/**
* constructor.
*/
BrainModelSurfaceMetricInGroupDifference::BrainModelSurfaceMetricInGroupDifference(
BrainSet* bs,
const QString& inputMetricShapeFileNameIn,
const QString& outputMetricShapeFileNameIn,
const bool absoluteValueFlagIn)
: BrainModelAlgorithm(bs)
{
inputMetricShapeFileName = inputMetricShapeFileNameIn;
outputMetricShapeFileName = outputMetricShapeFileNameIn;
absoluteValueFlag = absoluteValueFlagIn;
}
/**
* destructor.
*/
BrainModelSurfaceMetricInGroupDifference::~BrainModelSurfaceMetricInGroupDifference()
{
}
/**
* execute the algorithm.
*/
void
BrainModelSurfaceMetricInGroupDifference::execute() throw (BrainModelAlgorithmException)
{
//
// Make sure file names are specified
//
if (inputMetricShapeFileName.isEmpty()) {
throw BrainModelAlgorithmException("Input filename is empty.");
}
if (outputMetricShapeFileName.isEmpty()) {
throw BrainModelAlgorithmException("Output filename is empty.");
}
//
// Read in the input files
//
MetricFile inputMetricFile;
try {
inputMetricFile.readFile(inputMetricShapeFileName);
}
catch (FileException& e) {
throw BrainModelAlgorithmException(e);
}
//
// Examine data files
//
const int numNodes = inputMetricFile.getNumberOfNodes();
const int numCols = inputMetricFile.getNumberOfColumns();
if ((numNodes <= 0) ||
(numCols <= 0)) {
const QString msg = FileUtilities::basename(inputMetricShapeFileName)
+ " contains no data.";
throw BrainModelAlgorithmException(msg);
}
if (numCols < 2) {
throw BrainModelAlgorithmException("The input metric file must contain at least two columns.");
}
//
// Get the number of combinations which will be the number of columns in the output files
//
const int numOutputColumns = MathUtilities::combinations(numCols, 2);
//
// Create the output metric file
//
MetricFile outputMetricFile;
outputMetricFile.setNumberOfNodesAndColumns(numNodes, numOutputColumns);
//
// Pair up each possible combination of nodes
//
int currentColumn = 0;
for (int j = 0; j < (numCols - 1); j++) {
for (int k = (j + 1); k < numCols; k++) {
if (currentColumn >= numOutputColumns) {
const QString msg =
"Compute number of column combinations " + QString::number(numOutputColumns) + "\n"
+ "has been exceeded when combining columns \n"
+ QString::number(j) + " and " + QString::number(k);
throw BrainModelAlgorithmException(msg);
}
//
// Set the column name
//
const QString columnName = "Columns " + QString::number(j)
+ " and " + QString::number(k);
outputMetricFile.setColumnName(currentColumn, columnName);
//
// Set column comment
//
const QString columnComment = inputMetricFile.getColumnName(j)
+ " AND "
+ inputMetricFile.getColumnName(k);
outputMetricFile.setColumnComment(currentColumn, columnComment);
//
// Compute the differences for each node
//
for (int i = 0; i < numNodes; i++) {
float diff = inputMetricFile.getValue(i, j) - inputMetricFile.getValue(i, k);
if (absoluteValueFlag) {
if (diff < 0) {
diff = -diff;
}
}
outputMetricFile.setValue(i, currentColumn, diff);
}
//
// Next output column
//
currentColumn++;
}
}
try {
//
// Write the metric file
//
outputMetricFile.writeFile(outputMetricShapeFileName);
}
catch (FileException& e) {
throw BrainModelAlgorithmException(e);
}
}
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