2.8 KiB
2.8 KiB
In [2]:
%pylab inline
from network.network import (is_valid_network,
get_number_of_activated_antenna,
pp_network,
switch_antenna_in_network,
turn_off_antenna,
can_antenna_be_turned_on,
turn_on_antenna)
from numpy import mean
from random import Random
from itertools import cyclePopulating the interactive namespace from numpy and matplotlib
In [3]:
random = Random(666)
def get_all_antennas(box_size):
return range(box_size * box_size)
def get_new_network_with_gibbs(network, box_size):
for antenna in get_all_antennas(box_size):
if can_antenna_be_turned_on(antenna, network, box_size) and random.choice([True, False]):
network = turn_on_antenna(antenna, network, box_size)
else:
network = turn_off_antenna(antenna, network)
return networkIn [ ]:
networks = [0]
box_size = 5
for i in range(100):
last_network = networks[-1]
networks.append(get_new_network_with_gibbs(last_network, box_size))