def launch_get_selection(pop_size, selection_type=Enums.SelectionsTypes.TOURNAMENT, key=0):
global matrix
global population
population = genethic_operators.selection(population, selection_type, pop_size, key=key, matrix=matrix)
if static.Static.MODE_WORK == Enums.ModeWork.STEPS:
print("Selecting to recombination\n")
utils.write_graphs(population)
def main(args):
start = time.time()
data = read_graphs(args.dataset)
data_read_time = time.time()
if args.iso_alg == "vf2":
margin = MARGIN_VF2(support=args.support,
randwalk=args.randwalk,
sortrep=args.sortrep)
elif args.iso_alg == "gnn":
margin = MARGIN_GNN(support=args.support,
gnn_args=args,
randwalk=args.randwalk,
sortrep=args.sortrep)
else:
raise AssertionError("Undefined algorithm %s" % args.iso_alg)
results = margin.run(data)
margin_time = time.time()
output_file = os.path.join(args.outdir,
args.dataset.split("/")[-2] + ".lg")
write_graphs(results, output_file)
print("Data Reading Time:", data_read_time - start)
print("Margin Time:", margin_time - data_read_time)
def launch_reduction(matrix):
global population
population = genethic_operators.reduction(population, matrix)
if static.Static.MODE_WORK == Enums.ModeWork.STEPS:
print("Reduction population\n")
utils.write_graphs(population)
def launch_mutation(chance=static.Static.CHANCE_MUTATION):
global population
population = genethic_operators.mutation(population, chance * 100, chrome_size)
if static.Static.MODE_WORK == Enums.ModeWork.STEPS:
print("Mutation population\n")
utils.write_graphs(population)
def launch_get_recombination(recombination_type=Enums.Recombination.UNIFORM):
global population
population = genethic_operators.recombination(population, recombination_type, chrome_size, pop_size)
if static.Static.MODE_WORK == Enums.ModeWork.STEPS:
print("Recombination population\n")
utils.write_graphs(population)
def launch_set_population():
global population
print("Init start population\n")
population = genethic_operators.generate_population(start_node, end_node, pop_size, chrome_size)
utils.write_graphs(population)
def launch_set_matrix():
global matrix
print("Init graph network\n")
matrix = utils.gen_matrix(matrix_size, throughput)
utils.write_graphs(matrix)