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/**
*
* This file is part of Tulip (www.tulip-software.org)
*
* Authors: David Auber and the Tulip development Team
* from LaBRI, University of Bordeaux 1 and Inria Bordeaux - Sud Ouest
*
* Tulip is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* Tulip 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.
*
*/
#include <time.h>
#include <tulip/TulipPlugin.h>
#include <tulip/StableIterator.h>
using namespace std;
using namespace tlp;
namespace {
const char * paramHelp[] = {
// minsize
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "unsigned int" ) \
HTML_HELP_DEF( "default", "100" ) \
HTML_HELP_BODY() \
"This parameter defines the minimal amount of node used to build the randomized tree." \
HTML_HELP_CLOSE(),
// maxsize
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "unsigned int" ) \
HTML_HELP_DEF( "default", "1000" ) \
HTML_HELP_BODY() \
"This parameter defines the maximal amount of node used to build the randomized tree." \
HTML_HELP_CLOSE(),
// tree layout
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "bool" ) \
HTML_HELP_DEF( "default", "false" ) \
HTML_HELP_BODY() \
"This parameter indicates if the generated tree has to be drawn with a tree layout algorithm." \
HTML_HELP_CLOSE(),
};
}
/** \addtogroup import */
/*@{*/
/// Random Tree - Import of a random tree
/** This plugin enables to create a random tree
*
* User can specify the minimal/maximal numbers of nodes used to build of the tree.
*/
class RandomTree:public ImportModule {
public:
RandomTree(AlgorithmContext context):ImportModule(context) {
addParameter<unsigned int>("minsize",paramHelp[0],"100");
addParameter<unsigned int>("maxsize",paramHelp[1],"1000");
addParameter<bool>("tree layout",paramHelp[2],"false");
addDependency<LayoutAlgorithm>("Tree Leaf", "1.0");
}
~RandomTree() {
}
bool buildNode(node n, unsigned int sizeM) {
if (graph->numberOfNodes()>sizeM+2) return false;
bool result=true;
int randNumber=rand();
if (randNumber>RAND_MAX/2) {
node n1,n2;
n1=graph->addNode();
n2=graph->addNode();
graph->addEdge(n,n1);
graph->addEdge(n,n2);
result= result && buildNode(n1,sizeM);
result= result && buildNode(n2,sizeM);
}
return result;
}
bool importGraph() {
srand(clock());
unsigned int minSize = 100;
unsigned int maxSize = 1000;
bool needLayout = false;
if (dataSet!=0) {
dataSet->get("minsize", minSize);
dataSet->get("maxsize", maxSize);
dataSet->get("tree layout", needLayout);
}
if (maxSize == 0) {
if (pluginProgress)
pluginProgress->setError(string("Error: maxsize cannot be null"));
return false;
}
if (minSize > maxSize) {
if (pluginProgress)
pluginProgress->setError(string("Error: maxsize must be greater than minsize"));
return false;
}
if (pluginProgress)
pluginProgress->showPreview(false);
bool ok=true;
int i=0;
while (ok) {
if (pluginProgress->progress(i%100,100)!=TLP_CONTINUE) break;
i++;
graph->clear();
node n=graph->addNode();
ok = !buildNode(n,maxSize);
if (graph->numberOfNodes()<minSize-2) ok=true;
}
if (pluginProgress->progress(100,100)==TLP_CANCEL)
return false;
if (needLayout) {
// apply Tree Leaf
DataSet dSet;
string errMsg;
LayoutProperty *layout = graph->getProperty<LayoutProperty>("viewLayout");
return graph->computeProperty("Tree Leaf", layout, errMsg,
pluginProgress, &dSet);
}
return true;
}
};
/*@}*/
IMPORTPLUGINOFGROUP(RandomTree,"Uniform Random Binary Tree","Auber","16/02/2001","","1.1","Graphs")
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