def borne_sup(data):
solution = Solution(data.graph)
solution.name = 'sup'
solution.num_evac_nodes = data.num_evac_nodes
solution.method = 'computed ' + solution.name
start_time = time()
# start each evacuation one by one
start_evac = 0
for (node_id, node_data) in data.graph.nodes(data=True):
# to get only the evac nodes
if 'population' in node_data:
solution.evac_nodes[str(node_id)] = EvacNode(
node_id, int(node_data['max_rate']), start_evac)
path = node_data['path']
# add each route lenght to duration
for a, b in zip([node_id] + path, path):
start_evac += int(data.graph[a][b]['lenght'])
solution.calc_time = time() - start_time
solution.calc_obj()
solution.create_timeline()
solution.check_valid()
return solution
def borne_inf(data):
solution = Solution(data.graph)
solution.name = 'inf'
solution.num_evac_nodes = data.num_evac_nodes
solution.method = 'computed' + solution.name
start_time = time()
# for each evac node, set start date to 0 and max rate
for (node_id, node_data) in data.graph.nodes(data=True):
# to get only the evac nodes
if 'population' in node_data:
solution.evac_nodes[str(node_id)] = EvacNode(
node_id, int(node_data['max_rate']), 0)
solution.calc_time = time() - start_time
solution.calc_obj()
solution.create_timeline()
solution.check_valid()
return solution
