simulationexam/importance_sampling.ipynb

In [1]:

%pylab inline
from network.network import (is_valid_network,
                             create_network,
                             get_number_of_activated_antenna,
                             get_activated_antennas,
                             can_antenna_be_turned_on,
                             pp_network,
                             turn_off_antenna,
                             turn_on_antenna)

from network.impSamp import AntennaGenerator
from numpy import mean
from random import Random

Populating the interactive namespace from numpy and matplotlib

In [43]:

random = Random(666)

def get_random_network(box_size, random):
    antenna_generator = AntennaGenerator(box_size, random)
    antennas = []
    antenna, network_prob = antenna_generator.get_random_antenna()

    while antenna != -1:
        antennas.append(antenna)
        antenna, p = antenna_generator.get_random_antenna()
        network_prob *= p
        
    return create_network(antennas), network_prob
    

In [5]:

box_size = 4
antannas = [0,1,2,3]

for i in range(1000):
    network = get_random_network(box_size)

In [6]:

box_size = 5
for i in range(100000):
    network, p = get_random_network(box_size)
#     print("network", network)
#     print(pp_network(network, box_size))

In [ ]:

ds = list(reversed(range(10)))

In [47]:

all_networks = set()


        

In [45]:

get_estimation(1000000, random)

Out [45]:

5.582214353409138

In [37]:

len(all_networks)

Out [37]:

25318