2016-04-18 12:56:49 +00:00
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/* Gestion du SOCIOGRAMME SPATIAL
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*
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* [1] - Récupération du conteneur (élément du DOM/HTML)
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* [2] - Construction de la classe (objet type)
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* [3] - Construction de l'objet SIGMA
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* [4] - Récupération des données
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* [5] - Paramétrage de SIGMA
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* [6] - On extrait les noeuds/liens des données reçues
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* [7] - On ajoute les noeuds/liens à SIGMA
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* [8] - On positionne le tout dans l'espace
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* [9] - On bind() les évènements
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* [10]- On affiche le rendu
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*
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*/
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/* [1] Récupération du conteneur
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2016-04-18 20:45:55 +00:00
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======================================*/
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2016-04-18 12:56:49 +00:00
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function sociogramClass(container){
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this.container = container;
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this.log('sociogram created');
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2016-04-18 15:01:11 +00:00
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}
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2016-04-18 12:56:49 +00:00
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/* [2] Construction de la classe
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2016-04-18 20:45:55 +00:00
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======================================*/
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2016-04-18 12:56:49 +00:00
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sociogramClass.prototype = {
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container: this.container,
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sigma: null,
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request: { path: 'charts/network_data' },
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response: null,
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nodes: [],
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edges: [],
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rad: 500,
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nodeDistance: 100,
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/* (0) Ajout de méthodes à @this.sigma.graph */
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overloadGraph: function(){},
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/* (1) Point d'amorçage */
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load: function(){},
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/* (2) Retourne la distance avec le noeud le plus près de la position (@x, @y) */
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nodeAt: function(x, y){},
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/* (3) Positionnement spatial d'un noeud d'id @nodeId à une position @pos(x,y) */
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arrange: function(nodeId, pos, alone){},
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/* (4) Extraction de des @this.nodes depuis @this.response */
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extractNodesFromResponse: function(){},
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/* (5) Extraction de des @this.edges depuis @this.response */
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extractEdgesFromResponse: function(){},
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/* (6) Ajout des noeuds @this.nodes au rendu */
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renderNodes: function(){},
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/* (7) Ajout des liens @this.edges au rendu */
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renderEdges: function(){},
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/* (8) Ajout des fonctions dans @this.sigma.graph */
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overload: {
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// {1} Renvoie la liste des voisins directs et indirects du noeud d'id @nodeId //
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nodeNeighbors: function(nodeId){},
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// {2} Renvoie la liste des voisins directs du noeud d'id @nodeId //
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nodeDirectNeighbors: function(nodeId){}
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},
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/* (9) Fonctions de callback pour les évènements */
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bindings: {
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// {1} Action quand on clique sur un noeud //
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clickNode: function(thisPtr, e){},
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// {2} Action quand on clique dans le vide //
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clickStage: function(thisPtr, e){}
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},
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log: function(message){
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console.log('--[SOCIOGRAM]--');
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console.warn(message);
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console.log('--[/SOCIOGRAM]--');
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}
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};
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/* SURCHARGE DU GRAPH (@this.sigma.graph) -> Ajout de méthodes
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*
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*/
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sociogramClass.prototype.overloadGraph = function(){
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sigma.classes.graph.addMethod('nodeNeighbors', this.overload.nodeNeighbors);
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sigma.classes.graph.addMethod('nodeDirectNeighbors', this.overload.nodeDirectNeighbors);
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this.log('graph overloaded');
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2016-04-18 14:21:24 +00:00
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};
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2016-04-18 12:56:49 +00:00
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/* (1) Point d'amorçage */
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sociogramClass.prototype.load = function(){
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// {1} On instancie SIGMA //
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this.sigma = new sigma({ renderer: { container: this.container, 'type': 'canvas' } });
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var thisPtr = this;
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// {2} On récupère les données via l'API //
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api.send(this.request, function(response){
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thisPtr.log(response);
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// Si erreur, on quitte
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2016-04-18 20:45:55 +00:00
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if( response.ModuleError != 0 ) return;
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2016-04-18 12:56:49 +00:00
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// On enregistre la réponse
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thisPtr.response = response;
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// {3} On paramètre SIGMA //
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thisPtr.sigma.settings({
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defaultNodeColor: '#348ed8',
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defaultLabelSize: 14,
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defaultLabelBGColor: "#ddd",
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defaultHoverLabelBGColor: "#002147",
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defaultLabelHoverColor: "#fff",
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labelThreshold: 10,
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defaultEdgeType: "line"
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});
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// {4} On recupere les noeuds et les liens //
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thisPtr.extractNodesFromResponse();
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thisPtr.extractEdgesFromResponse();
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// {5} On ajoute les noeuds et les liens au rendu //
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thisPtr.addNodes();
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thisPtr.addEdges();
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// {6} On définit les évènements //
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// On affiche que les voisins d'un noeud quand on clique sur lui
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thisPtr.sigma.bind('clickNode', function(e){
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thisPtr.bindings.clickNode(thisPtr, e);
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});
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// On affiche tous les noeuds quand on clique dans le vide
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thisPtr.sigma.bind('clickStage', function(e){
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thisPtr.bindings.clickStage(thisPtr, e);
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});
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// {7} On positionne spatialement les noeuds //
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thisPtr.sigma.graph.nodes().forEach(function(n){ thisPtr.arrange(n.id, null, true); });
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// {8} On affiche le rendu //
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thisPtr.sigma.camera.ratio = 1.2;
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thisPtr.sigma.refresh();
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});
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};
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/* RETOURNE LA DISTANCE AVEC LE NOEUD LE PLUS PRES
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*
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* @x<float> Abscisse du point
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* @y<float> Ordonnees du point
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*
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* @return distance<float> Retourne la distance du noeud le plus proche
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*
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*/
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sociogramClass.prototype.nodeAt = function(x, y){
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var nodes = this.sigma.graph.nodes();
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var minDistance = null;
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2016-04-18 15:01:11 +00:00
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for( var nodeId in nodes ){
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2016-04-18 12:56:49 +00:00
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var distance = Math.sqrt( Math.pow(x-nodes[nodeId].x, 2) + Math.pow(y-nodes[nodeId].y, 2) );
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2016-04-18 20:45:55 +00:00
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if( minDistance == null || distance < minDistance )
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2016-04-18 12:56:49 +00:00
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minDistance = distance;
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}
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return minDistance;
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};
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/* POSITIONNE LES VOISINS AUTOUR DU NOEUD COURANT
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*
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* @nodeId<String> Id du noeud courant
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* @pos<Object> Contient {x, y} position initiale, sinon la position actuelle du noeud
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*
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*/
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sociogramClass.prototype.arrange = function(nodeId, pos, alone){
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var node = this.sigma.graph.nodes(nodeId);
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// Si le noeud est deja place, on ne fais rien
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if( node.x != 0 || node.y != 0 ) return;
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2016-04-18 12:56:49 +00:00
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2016-04-18 20:45:55 +00:00
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pos = (pos==null) ? {x: node.x, y: node.y} : pos; // On recupere la position
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2016-04-18 12:56:49 +00:00
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// Tant que le noeud est trop proche d'un autre, on l'eloigne
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// UNIQUEMENT si alone n'est pas NULL
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if( alone ){
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while( this.nodeAt(pos.x, pos.y) < 2*this.nodeDistance ){
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pos = {
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x: pos.x + 2*this.nodeDistance*Math.cos(Math.random()*2*Math.PI),
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y: pos.y + 2*this.nodeDistance*Math.sin(Math.random()*2*Math.PI)
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};
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}
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}
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// On recupere les voisins directs
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var neighborsId = this.sigma.graph.nodeDirectNeighbors(nodeId);
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var neighbors = {};
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var neighborsCount = 0;
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2016-04-18 15:01:11 +00:00
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for( var neighborId in neighborsId ){
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2016-04-18 12:56:49 +00:00
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neighbors[neighborId] = this.sigma.graph.nodes(neighborId);
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neighborsCount++;
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}
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// On positionne le noeud
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node.x = pos.x;
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node.y = pos.y;
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var angles = [];
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// On positionne chaque voisin si c'est pas deja fait
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for( neighborId in neighbors ){
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var current = this.sigma.graph.nodes(neighborId);
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// Si n'est pas deja positionne
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2016-04-18 20:45:55 +00:00
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if( current.x == 0 && current.y == 0 ){
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2016-04-18 12:56:49 +00:00
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// On cherche un angle tant qu'il est pas trop pres d'un deja pris
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var angle, alreadyUsed = false;
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do{
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angle = Math.random()*2*Math.PI;
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for( var i = 0 ; i < angles.length ; i++ )
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if( Math.abs(angle-angles[i]) > Math.PI/10 ){
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alreadyUsed = true;
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break;
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}
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}while( alreadyUsed );
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current.x = pos.x + this.nodeDistance*Math.cos(angle);
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current.y = pos.y + this.nodeDistance*Math.sin(angle);
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this.arrange(current.id);
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}
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}
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this.sigma.refresh();
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};
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/* RENVOIE LA LISTE DES VOISINS (DIRECTS & INDIRECTS) D'UN NOEUD DONNÉ
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*
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* @nodeId<String> Id du noeud en question
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* @return neighbors<array> Liste des voisins directs+indirects
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*
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*/
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sociogramClass.prototype.overload.nodeNeighbors = function(nodeId){
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var neighbors = this.allNeighborsIndex[nodeId];
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// Pile des voisins pour lesquels il faut chercher leurs voisins
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var stack = [];
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2016-04-18 15:01:11 +00:00
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for( var neighborId in neighbors ) stack.push(neighborId);
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2016-04-18 12:56:49 +00:00
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// Tant qu'il reste des voisins a trouver
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while( stack.length > 0 ){
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var subneighbors = this.allNeighborsIndex[stack[0]];
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2016-04-18 15:01:11 +00:00
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for( var subId in subneighbors )
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2016-04-18 12:56:49 +00:00
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// Si le voisin est pas deja dans la liste/pile, on l'ajoute a la liste des voisins
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if( neighbors[subId] == null ){
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2016-04-18 12:56:49 +00:00
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stack.push(subId); // On ajoute a la pile
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neighbors[subId] = subneighbors[subId]; // On ajoute a la liste complete
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}
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stack.shift();
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}
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// On retourne le resultat
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return neighbors;
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};
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/* RENVOIE LA LISTE DES VOISINS DIRECTS D'UN NOEUD DONNÉ
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*
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* @nodeId<String> Id du noeud en question
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*
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* @return neighbors<array> Liste des voisins directs
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*
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*/
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sociogramClass.prototype.overload.nodeDirectNeighbors = function(nodeId){
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return this.allNeighborsIndex[nodeId];
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};
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/* EXTRAIT LES NOEUDS DE LA RÉPONSE DE L'API
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*
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*/
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sociogramClass.prototype.extractNodesFromResponse = function(){
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this.nodes = [];
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// Pour chaque alter
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for( var i = 0 ; i < this.response.data.alter.length ; i++ )
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this.nodes.push({
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'id': 'n-'+this.response.data.alter[i][0],
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'label': this.response.data.alter[i][1],
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'x': 0,
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'y': 0,
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'size': this.response.data.alter[i][2]
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});
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};
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/* EXTRAIT LES NOEUDS DE LA RÉPONSE DE L'API
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*
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*/
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sociogramClass.prototype.extractEdgesFromResponse = function(){
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this.edges = [];
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// Pour chaque inter
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for( var i = 0 ; i < this.response.data.inter.length ; i++ )
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this.edges.push({
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'id': 'e-'+this.response.data.inter[i][0]+'-'+this.response.data.inter[i][1],
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'source': 'n-'+this.response.data.inter[i][0],
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'target': 'n-'+this.response.data.inter[i][1]
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});
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};
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/* AJOUTE LES NOEUDS AU RENDU (SIGMA GRAPH)
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*
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*/
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sociogramClass.prototype.addNodes = function(){
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/* (5) On ajoute nos noeuds */
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for( var i = 0 ; i < this.nodes.length ; i++)
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this.sigma.graph.addNode(this.nodes[i]);
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};
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/* AJOUTE LES LIENS AU RENDU (SIGMA GRAPH)
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*
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*/
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sociogramClass.prototype.addEdges = function(){
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/* (6) On ajoute nos liens */
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for( var i = 0 ; i < this.edges.length ; i++)
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this.sigma.graph.addEdge(this.edges[i]);
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};
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/* FONCTION ACTIVÉE LORS DU CLIC SUR UN NOEUD
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*
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*/
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sociogramClass.prototype.bindings.clickNode = function(thisPtr, e){
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console.log( thisPtr );
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var nodeId = e.data.node.id;
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// On recupere les voisins
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var neighborNodes = thisPtr.sigma.graph.nodeNeighbors(nodeId);
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neighborNodes[nodeId] = e.data.node; // on ajoute le noeud clique
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thisPtr.sigma.graph.nodes().forEach(function(n) {
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2016-04-18 20:45:55 +00:00
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if( neighborNodes[n.id] != null ) n.color = n.originalColor;
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2016-04-20 12:40:44 +00:00
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else n.color = '#888';
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2016-04-18 12:56:49 +00:00
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});
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thisPtr.sigma.refresh();
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};
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/* FONCTION ACTIVÉE LORS DU CLIC DANS LE VIDE
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*
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*/
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sociogramClass.prototype.bindings.clickStage = function(thisPtr, e){
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thisPtr.sigma.graph.nodes().forEach(function(n){ n.color = n.originalColor; });
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thisPtr.sigma.refresh();
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};
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// var i,
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// s,
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// o,
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// L = 10,
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// N = 100,
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// E = 500,
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// g = {
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// nodes: [],
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// edges: []
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// },
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// step = 0;
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// // Generate a random graph:
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// for (i = 0; i < N; i++) {
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// o = {
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// id: 'n' + i,
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// label: 'Node ' + i,
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// circular_x: L * Math.cos(Math.PI * 2 * i / N - Math.PI / 2),
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// circular_y: L * Math.sin(Math.PI * 2 * i / N - Math.PI / 2),
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// circular_size: Math.random(),
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// circular_color: '#' + (
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// Math.floor(Math.random() * 16777215).toString(16) + '000000'
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// ).substr(0, 6),
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// grid_x: i % L,
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// grid_y: Math.floor(i / L),
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// grid_size: 1,
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// grid_color: '#ccc'
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// };
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// ['x', 'y', 'size', 'color'].forEach(function(val) {
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// o[val] = o['grid_' + val];
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// });
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// g.nodes.push(o);
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// }
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// for (i = 0; i < E; i++)
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// g.edges.push({
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// id: 'e' + i,
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// source: 'n' + (Math.random() * N | 0),
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// target: 'n' + (Math.random() * N | 0),
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// });
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// // Instantiate sigma:
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// s = new sigma({
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// graph: g,
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// renderer: { container: document.getElementById('graph-container'), 'type': 'canvas' },
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// settings: {
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// animationsTime: 1000
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// }
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// });
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// setInterval(function(){
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// var prefix = ['grid_', 'circular_'][step = +!step];
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// sigma.plugins.animate(
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// s,
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// {
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// x: prefix + 'x',
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// y: prefix + 'y',
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// size: prefix + 'size',
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// color: prefix + 'color'
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// }
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// );
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// }, 10000);
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