simulationexam/gibbs_sampler.ipynb

In [2]:

%pylab inline
from network.network import (is_valid_network,
                             get_number_of_activated_antenna,
                             can_antenna_be_turned_on,
                             pp_network,
                             turn_off_antenna,
                             turn_on_antenna)
from numpy import mean
from random import Random

Populating the interactive namespace from numpy and matplotlib

In [2]:

random = Random(666)

def create_new_network(network, box_size):
    number_of_square = box_size * box_size
    for antenna in range(number_of_square):
        if can_antenna_be_turned_on(antenna, network, box_size) and random.choice([True, False]):
            network = turn_on_antenna(antenna, network)
        else:
            network = turn_off_antenna(antenna, network)
    return network

In [12]:

box_size = 8
n = 15000

valid_networks = [0]

for random_antenna in range(n):
    network = valid_networks[-1]
    new_network = create_new_network(network, box_size)
    valid_networks.append(new_network)

In [13]:

hist(list(map(get_number_of_activated_antenna, valid_networks)), bins=100)
None

In [14]:

mean(list(map(get_number_of_activated_antenna, valid_networks)))

Out [14]:

15.072261849210053

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In [11]:

for network in valid_networks[-10:]:
    print(pp_network(network, box_size))

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In [14]:

random.choice([1,2,3,4], 111, replace=False)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-14-e2f587eeb987> in <module>()
----> 1 random.choice([1,2,3,4], 111, replace=False)

mtrand.pyx in mtrand.RandomState.choice (numpy/random/mtrand/mtrand.c:11010)()

ValueError: Cannot take a larger sample than population when 'replace=False'

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