/usr/include/tulip/cxx/minmaxproperty.cxx is in libtulip-dev 4.6.0dfsg-2+b5.
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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
*
* 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 <tulip/Graph.h>
#include <tulip/Coord.h>
template<typename nodeType, typename edgeType, typename propType>
tlp::MinMaxProperty<nodeType, edgeType, propType>::MinMaxProperty(tlp::Graph* graph, const std::string& name, typename nodeType::RealType NodeMin,
typename nodeType::RealType NodeMax, typename edgeType::RealType EdgeMin, typename edgeType::RealType EdgeMax)
: AbstractProperty<nodeType, edgeType, propType>(graph, name), _nodeMin(NodeMin), _nodeMax(NodeMax), _edgeMin(EdgeMin), _edgeMax(EdgeMax), needGraphListener(false) {
}
template<typename nodeType, typename edgeType, typename propType>
typename nodeType::RealType tlp::MinMaxProperty<nodeType, edgeType, propType>::getNodeMin(tlp::Graph* graph) {
if(!graph) {
graph = this->propType::graph;
}
unsigned int graphID = graph->getId();
MINMAX_MAP(nodeType)::const_iterator it = minMaxNode.find(graphID);
if (it == minMaxNode.end())
return computeMinMaxNode(graph).first;
return it->second.first;
}
template<typename nodeType, typename edgeType, typename propType>
typename nodeType::RealType tlp::MinMaxProperty<nodeType, edgeType, propType>::getNodeMax(tlp::Graph* graph) {
if(!graph) {
graph = this->propType::graph;
}
unsigned int graphID = graph->getId();
MINMAX_MAP(nodeType)::const_iterator it = minMaxNode.find(graphID);
if (it == minMaxNode.end())
return computeMinMaxNode(graph).second;
return it->second.second;
}
template<typename nodeType, typename edgeType, typename propType>
typename edgeType::RealType tlp::MinMaxProperty<nodeType, edgeType, propType>::getEdgeMin(tlp::Graph* graph) {
if(!graph) {
graph = this->propType::graph;
}
unsigned int graphID = graph->getId();
MINMAX_MAP(edgeType)::const_iterator it = minMaxEdge.find(graphID);
if (it == minMaxEdge.end())
return computeMinMaxEdge(graph).first;
return it->second.first;
}
template<typename nodeType, typename edgeType, typename propType>
typename edgeType::RealType tlp::MinMaxProperty<nodeType, edgeType, propType>::getEdgeMax(tlp::Graph* graph) {
if(!graph) {
graph = this->propType::graph;
}
unsigned int graphID = graph->getId();
MINMAX_MAP(edgeType)::const_iterator it = minMaxEdge.find(graphID);
if (it == minMaxEdge.end())
return computeMinMaxEdge(graph).second;
return it->second.second;
}
template<typename nodeType, typename edgeType, typename propType>
MINMAX_PAIR(nodeType) tlp::MinMaxProperty<nodeType, edgeType, propType>::computeMinMaxNode(Graph* graph) {
if(!graph) {
graph = this->propType::graph;
}
typename nodeType::RealType maxN2 = _nodeMin, minN2 = _nodeMax;
if (AbstractProperty<nodeType,edgeType,propType>::numberOfNonDefaultValuatedNodes() == 0)
maxN2 = minN2 = AbstractProperty<nodeType,edgeType,propType>::nodeDefaultValue;
else {
Iterator<node>* nodeIterator = graph->getNodes();
while (nodeIterator->hasNext()) {
node n=nodeIterator->next();
typename nodeType::RealType tmp = this->getNodeValue(n);
if (tmp > maxN2) {
maxN2 = tmp;
}
if (tmp < minN2) {
minN2 = tmp;
}
}
delete nodeIterator;
// be careful to empty graph
if (maxN2 < minN2)
minN2 = maxN2;
}
unsigned int sgi = graph->getId();
// graph observation is now delayed
// until we need to do some minmax computation
// this will minimize the graph loading
if (minMaxNode.find(sgi) == minMaxNode.end() &&
minMaxEdge.find(sgi) == minMaxEdge.end()) {
// launch graph hierarchy observation
graph->addListener(this);
}
MINMAX_PAIR(nodeType) minmax(minN2, maxN2);
return minMaxNode[sgi] = minmax;
}
template<typename nodeType, typename edgeType, typename propType>
MINMAX_PAIR(edgeType) tlp::MinMaxProperty<nodeType, edgeType, propType>::computeMinMaxEdge(Graph* graph) {
typename edgeType::RealType maxE2 = _edgeMin, minE2 = _edgeMax;
if (AbstractProperty<nodeType,edgeType,propType>::numberOfNonDefaultValuatedEdges() == 0)
maxE2 = minE2 = AbstractProperty<nodeType,edgeType,propType>::edgeDefaultValue;
else {
Iterator<edge>* edgeIterator = graph->getEdges();
while (edgeIterator->hasNext()) {
edge ite=edgeIterator->next();
typename edgeType::RealType tmp = this->getEdgeValue(ite);
if (tmp>maxE2)
maxE2 = tmp;
if (tmp<minE2)
minE2 = tmp;
}
delete edgeIterator;
// be careful to no edges graph
if (maxE2 < minE2)
minE2 = maxE2;
}
unsigned int sgi = graph->getId();
// graph observation is now delayed
// until we need to do some minmax computation
// this will minimize the graph loading time
if (minMaxNode.find(sgi) == minMaxNode.end() &&
minMaxEdge.find(sgi) == minMaxEdge.end()) {
// launch graph hierarchy observation
graph->addListener(this);
}
MINMAX_PAIR(edgeType) minmax(minE2, maxE2);
return minMaxEdge[sgi] = minmax;
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::removeListenersAndClearNodeMap() {
// we need to clear one of our map
// this will invalidate some minmax computations
// so the graphs corresponding to these cleared minmax computations
// may not have to be longer observed if they have no validated
// minmax computation in the other map
// loop to remove unneeded graph observation
// it is the case if minmax computation
//
MINMAX_MAP(nodeType)::const_iterator it = minMaxNode.begin();
MINMAX_MAP(nodeType)::const_iterator ite = minMaxNode.end();
for(; it != ite; ++it) {
unsigned int gi = it->first;
MINMAX_MAP(edgeType)::const_iterator itg = minMaxEdge.find(gi);
if (itg == minMaxEdge.end()) {
// no computation in the other map
// we can stop observing the current graph
Graph* g =
(propType::graph->getId() == gi) ?
(needGraphListener ? NULL : propType::graph) :
propType::graph->getDescendantGraph(gi);
if (g)
g->removeListener(this);
}
}
// finally clear the map
minMaxNode.clear();
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::removeListenersAndClearEdgeMap() {
// we need to clear one of our map
// this will invalidate some minmax computations
// so the graphs corresponding to these cleared minmax computations
// may not have to be longer observed if they have no validated
// minmax computation in the other map
// loop to remove unneeded graph observation
// it is the case if minmax computation
//
MINMAX_MAP(edgeType)::const_iterator it = minMaxEdge.begin();
MINMAX_MAP(edgeType)::const_iterator ite = minMaxEdge.end();
for(; it != ite; ++it) {
unsigned int gi = it->first;
MINMAX_MAP(nodeType)::const_iterator itg = minMaxNode.find(gi);
if (itg == minMaxNode.end()) {
// no computation in the other map
// we can stop observing the current graph
Graph* g =
(propType::graph->getId() == gi) ?
(needGraphListener ? NULL : propType::graph) :
propType::graph->getDescendantGraph(gi);
if (g)
g->removeListener(this);
}
}
// finally clear the map
minMaxEdge.clear();
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::updateNodeValue(tlp::node n, typename nodeType::RealType newValue) {
MINMAX_MAP(nodeType)::const_iterator it = minMaxNode.begin();
if (it != minMaxNode.end()) {
typename nodeType::RealType oldV = this->getNodeValue(n);
if (newValue != oldV) {
// loop on subgraph min/max
for(; it != minMaxNode.end(); ++it) {
// if min/max is ok for the current subgraph
// check if min or max has to be updated
typename nodeType::RealType minV = it->second.first;
typename nodeType::RealType maxV = it->second.second;
// check if min or max has to be updated
if ((newValue < minV) || (newValue > maxV) || (oldV == minV) || (oldV == maxV)) {
removeListenersAndClearNodeMap();
break;
}
}
}
}
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::updateEdgeValue(tlp::edge e, typename edgeType::RealType newValue) {
MINMAX_MAP(edgeType)::const_iterator it = minMaxEdge.begin();
if (it != minMaxEdge.end()) {
typename edgeType::RealType oldV = this->getEdgeValue(e);
if (newValue != oldV) {
// loop on subgraph min/max
for(; it != minMaxEdge.end(); ++it) {
// if min/max is ok for the current subgraph
// check if min or max has to be updated
typename edgeType::RealType minV = it->second.first;
typename edgeType::RealType maxV = it->second.second;
// check if min or max has to be updated
if ((newValue < minV) || (newValue > maxV) || (oldV == minV) || (oldV == maxV)) {
removeListenersAndClearEdgeMap();
break;
}
}
}
}
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::updateAllNodesValues(typename nodeType::RealType newValue) {
MINMAX_MAP(nodeType)::const_iterator it = minMaxNode.begin();
// loop on subgraph min/max
MINMAX_PAIR(nodeType) minmax(newValue, newValue);
for(; it != minMaxNode.end(); ++it) {
unsigned int gid = it->first;
minMaxNode[gid] = minmax;
}
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::updateAllEdgesValues(typename edgeType::RealType newValue) {
MINMAX_MAP(edgeType)::const_iterator it = minMaxEdge.begin();
// loop on subgraph min/max
MINMAX_PAIR(edgeType) minmax(newValue, newValue);
for(; it != minMaxEdge.end(); ++it) {
unsigned int gid = it->first;
minMaxEdge[gid] = minmax;
}
}
template<typename nodeType, typename edgeType, typename propType>
void tlp::MinMaxProperty<nodeType, edgeType, propType>::treatEvent(const tlp::Event& ev) {
const GraphEvent* graphEvent = dynamic_cast<const tlp::GraphEvent*>(&ev);
if (graphEvent) {
tlp::Graph* graph = graphEvent->getGraph();
switch(graphEvent->getType()) {
case GraphEvent::TLP_ADD_NODE:
removeListenersAndClearNodeMap();
break;
case GraphEvent::TLP_DEL_NODE: {
unsigned int sgi = graph->getId();
MINMAX_MAP(nodeType)::iterator it = minMaxNode.find(sgi);
if (it != minMaxNode.end()) {
typename nodeType::RealType oldV =
this->getNodeValue(graphEvent->getNode());
// check if min or max has to be updated
if ((oldV == it->second.first) || (oldV == it->second.second)) {
minMaxNode.erase(it);
if ((minMaxEdge.find(sgi) == minMaxEdge.end()) &&
(!needGraphListener || (graph != propType::graph)))
// graph observation is no longer needed
graph->removeListener(this);
}
}
break;
}
case GraphEvent::TLP_ADD_EDGE:
removeListenersAndClearEdgeMap();
break;
case GraphEvent::TLP_DEL_EDGE: {
unsigned int sgi = graph->getId();
MINMAX_MAP(edgeType)::iterator it = minMaxEdge.find(sgi);
if (it != minMaxEdge.end()) {
typename edgeType::RealType oldV =
this->getEdgeValue(graphEvent->getEdge());
// check if min or max has to be updated
if ((oldV == it->second.first) || (oldV == it->second.second)) {
minMaxEdge.erase(it);
if ((minMaxNode.find(sgi) == minMaxNode.end()) &&
(!needGraphListener || (graph != propType::graph)))
// graph observation is no longer needed
graph->removeListener(this);
}
}
break;
}
default:
// we don't care about the rest
break;
}
}
}
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