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https://github.com/gsi-upm/soil
synced 2024-11-22 19:22:29 +00:00
Dumping results as option
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parent
05c1b5c003
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@ -1,6 +1,6 @@
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name: ControlModelM2_sim
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max_time: 100
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num_trials: 2
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max_time: 15
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num_trials: 1
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network_params:
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generator: barabasi_albert_graph
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n: 100
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2
run.py
2
run.py
@ -11,5 +11,5 @@ def run(model, params=None):
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if __name__ == "__main__":
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soil = Model(dump=True)
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soil = Model(dump=False)
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run(soil)
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10
server.py
10
server.py
@ -12,6 +12,7 @@ import logging
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import logging
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import threading
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import io
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import networkx as nx
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from datetime import timedelta
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from contextlib import contextmanager
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@ -88,7 +89,6 @@ class SocketHandler(tornado.websocket.WebSocketHandler):
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self.send_log('INFO.soil', 'Using config: {name}'.format(name=self.config['name']))
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self.name = self.config['name']
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self.run_simulation()
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settings = []
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@ -114,7 +114,7 @@ class SocketHandler(tornado.websocket.WebSocketHandler):
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logger.info('Trial {} requested!'.format(msg['data']))
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self.send_log('INFO.user', 'Trial {} requested!'.format(msg['data']))
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self.write_message({'type': 'get_trial',
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'data': self.application.model.get_trial(self.name, msg['data']) })
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'data': self.get_trial( int(msg['data'] )) })
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elif msg['type'] == 'run_simulation':
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self.send_log('INFO.soil', 'Running new simulation for {name}'.format(name=self.config['name']))
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@ -147,7 +147,7 @@ class SocketHandler(tornado.websocket.WebSocketHandler):
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def run_simulation(self):
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# Run simulation and capture logs
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with self.logging(self.application.model.name):
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self.application.model.run(self.config)
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self.simulation = self.application.model.run(self.config)
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trials = []
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for i in range(self.config['num_trials']):
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@ -155,6 +155,10 @@ class SocketHandler(tornado.websocket.WebSocketHandler):
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self.write_message({'type': 'trials',
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'data': trials })
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def get_trial(self, trial):
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G = self.simulation[trial].history_to_graph()
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return nx.node_link_data(G)
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@contextmanager
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def logging(self, logger):
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self.capture_logging = True
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@ -21,27 +21,27 @@ ws.onmessage = function(message) {
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break;
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case 'get_trial':
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console.log(msg['data']);
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GraphVisualization.import(convertJSON(msg['data']['graph']), msg['data']['models'], function() {
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//console.log(msg['data']);
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GraphVisualization.import(convertJSON(msg['data']), function() {
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$('#load').hide();
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reset_configuration();
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set_configuration();
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$('#home_menu').click(function() {
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setTimeout(function() {
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reset_timeline();
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set_timeline(msg['data']['graph']);
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set_timeline(msg['data']);
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}, 1000);
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});
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reset_timeline();
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set_timeline(msg['data']['graph']);
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set_timeline(msg['data']);
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});
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$('#charts .chart').removeClass('no-data');
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set_chart_nodes(msg['data']['graph'], chart_nodes)
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set_chart_attrs(msg['data']['graph'], chart_attrs, $('.config-item #properties').val())
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set_chart_nodes(msg['data'], chart_nodes)
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set_chart_attrs(msg['data'], chart_attrs, $('.config-item #properties').val())
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$('.config-item #properties').change(function() {
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chart_attrs.destroy();
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chart_attrs = create_chart(width_chart, height_chart, 'Time', 'Attributes', '#chart_attrs');
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set_chart_attrs(msg['data']['graph'], chart_attrs, $('.config-item #properties').val())
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set_chart_attrs(msg['data'], chart_attrs, $('.config-item #properties').val())
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});
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break;
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@ -82,7 +82,7 @@ var initGUI = function(model_params) {
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addSliderInput(model_params[option]['label'], model_params[option]['value']);
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break;
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default:
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console.log('Input type not defined!');
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console.log(model_params[option]['type'] + ' not defined!');
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break;
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}
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}
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@ -13,7 +13,8 @@
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// Private constants
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var focus_opacity = 0.1,
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radius = 8;
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radius = 8,
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required_node = ['id', 'index', 'label', 'px', 'py', 'spells', 'weight', 'x', 'y'];
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// Private variables
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var width,
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@ -43,6 +44,13 @@
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return ( this > min && this <= max ) || ( min === 0 && this === 0 );
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};
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Number.prototype.type = function() {
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if ( typeof(this) === 'number' )
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return ( Number.isInteger(this) ) ? 'int' : 'float';
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else
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return false;
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}
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var lastFocusNode;
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var _helpers = {
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set_node: function(node, property, time) {
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@ -118,6 +126,13 @@
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link.style('opacity', function(o) {
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return o.source.index == d.index || o.target.index == d.index ? 1 : focus_opacity;
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});
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},
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push_once: function(array, item, key) {
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for (var i in array) {
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if ( array[i][key] == item[key] ) return false;
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}
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array.push(item);
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return true;
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}
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}
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@ -253,6 +268,22 @@
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self.GraphVisualization.statistics = statistics
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}
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function get_models(graph) {
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var models = { 'dynamic': [], 'static': [] }
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graph['nodes'].forEach(function(node) {
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for ( var att in node ) {
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if (!required_node.includes(att)) {
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if ( Array.isArray(node[att]) ) _helpers.push_once(models['dynamic'], { 'title': att, 'type': node[att][0][0].type() }, 'title');
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else _helpers.push_once(models['static'], { 'title': att, 'type': typeof(node[att]) }, 'title');
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}
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}
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});
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return models;
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}
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/**
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* Public API
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@ -287,24 +318,21 @@
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* A function that imports the graph and the attributes of all the nodes.
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*
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* @param {object} json The json structure of the graph.
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* @param {object} attributes Definition of the attributes of the nodes
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* (statics and dynamics).
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* @param {object} callback A function called at the end.
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*/
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function importJSON(json, attributes, callback) {
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function importJSON(json, callback) {
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reset()
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graph = json;
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model = attributes;
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// Create the graph itself
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Graph();
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self.GraphVisualization.nodes = graph.nodes.length;
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self.GraphVisualization.links = graph.links.length;
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self.GraphVisualization.model = model;
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self.GraphVisualization.model = get_models(json);
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// Draw graph with default property and time for the first time
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update_data(model.dynamic[0].title, 0);
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update_data(self.GraphVisualization.model.dynamic[0].title, 0);
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if (callback) { callback(); }
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}
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@ -1,5 +1,4 @@
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import os
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import networkx as nx
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from server import VisualizationElement
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from soil.simulation import SoilSimulation
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from xml.etree import ElementTree
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@ -7,10 +6,11 @@ from xml.etree import ElementTree
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class Model():
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def __init__(self, dump=True, dir_path='output'):
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def __init__(self, dump=False, dir_path='output'):
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self.name = 'soil'
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self.dump = dump
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self.dir_path = dir_path
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self.simulation = list()
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def run(self, config):
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name = config['name']
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@ -22,40 +22,11 @@ class Model():
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print('Dumping results to {} : {}'.format(sim.dir_path, sim.dump))
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sim.run_simulation()
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def get_trial(self, name, trial):
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graph = nx.read_gexf(os.path.join(self.dir_path, name, '{}_trial_{}.gexf'.format(name, trial)))
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attributes = self.get_attributes(os.path.join(self.dir_path, name, '{}_trial_{}.gexf'.format(name, trial)))
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json = {}
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json['graph'] = nx.node_link_data(graph)
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json['models'] = attributes
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return json
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return sim.run_simulation()
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def reset(self):
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pass
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def get_attributes(self, path_gexf):
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attributes = {}
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tree = ElementTree.parse(path_gexf)
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root = tree.getroot()
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ns = { 'gexf': 'http://www.gexf.net/1.2draft' }
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for mode in root[0].findall('gexf:attributes', ns):
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attributes[mode.attrib['mode']] = []
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for attribute in mode:
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values = {
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'id' : attribute.attrib['id'],
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'title' : attribute.attrib['title'],
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'type' : attribute.attrib['type']
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}
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attributes[mode.attrib['mode']].append(values)
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return attributes
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class GraphVisualization(VisualizationElement):
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package_includes = []
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