break # Si el sistema percola, terminamos
abiertos = float(self.N ** 2 - len(cerrados))
# La estimación del umbral de percolación
return abiertos / (self.N * self.N)
if __name__ == '__main__':
t0 = time.time()
prom = 0.0
if rank == 0:
sim1 = sim / size + sim % size
else:
sim1 = sim / size
for i in range(sim1):
Perc = PercolationSimulation(N)
prom += Perc.umbral()
prom = prom / (sim1)
if rank != 0:
comm.send(prom, dest=0)
if rank == 0:
final = 0
for i in range(1, size):
final += comm.recv(source=i)
final += prom
final = final / size
final = final * cont
TF = time.time()
T = TF - t0
crearPDFBD(enfe, dist, N, final, T, nombre)
envio_mail(mail, nombre)
if arbol == 3: #boldo
comb = 32
if arbol == 4: #roble
comb = 10
if arbol == 5: #rauli
comb = 20
if suelo == 1:
comb = (comb + 97)/2
if suelo == 2:
comb = (comb + 80)/2
if suelo == 3:
comb = (comb + 53)/2
if suelo == 4:
comb = (comb + 78)/2
pass
for i in range(SAMPLE_SIZE):
percolacion = PercolationSimulation(N)
estimado = percolacion.umbral()
mean += estimado
estimated_threshold.append(estimado)
mean /= SAMPLE_SIZE
for x in estimated_threshold:
variance += (x - mean) ** 2
variance /= (SAMPLE_SIZE - 1)
mean = (mean * comb)/100
mean = 1 - mean
nompdf = nombre + ".pdf"
T = (time()-ST)
crearPDF(arbol,suelo,dist,N,mean,T,nompdf)
envio_mail(mail,nompdf)
