import readMap
import dfs
import analyse
import sim_an_search
map = readMap.read_empty_map('NewChina.txt')
signal_cost = analyse.get_cost_scheme(4)
signals = ['zA', 'zB', 'zC', 'zD', 'zE', 'zF', 'zG']
dfs.dfs(map, signals)
sim_an_search.sim_an(map, signal_cost, signals, begin_temp=10)
analyse.print_costs(map, signal_cost)
print(analyse.analyse_conflicts(map))
print(analyse.analyse_adjacent_states(map))
import readMap
import dfs
import hill_solve
import analyse
map = readMap.read_complete_map('Russiadfs5.csv')
signal_costs = analyse.get_cost_scheme(1)
analyse.print_costs(map, signal_costs)
import analyse
import readMap
import sim_an_search
s = '3'
begin_temp = 0
new_begin_temp = 0
end_temp = 0
new_end_temp = 0
best_score = 0
average_score = 0
c = analyse.get_cost_scheme(int(s))
signals = list(c.keys())
while(True):
with open('best_temp_' + s + '.txt', 'r') as text:
for line in text:
split_line = line.split(',')
begin_temp = int(split_line[0])
end_temp = float(split_line[1])
best_score = int(split_line[2])
average_score = float(split_line[3])
iterations = int(split_line[4])
new_begin_temp = begin_temp + random.choice([-2, -1, 0, 1, 2])
if new_begin_temp < 0:
new_begin_temp = 1
new_end_temp = end_temp + random.choice([-0.2, -0.1, 0, 0.1, 0.2])
if new_end_temp < 0:
new_end_temp = 0.1
import analyse
import readMap
import hill_solve
for x in range(6, 13):
signal_costs = analyse.get_cost_scheme(int(x))
signals = list(signal_costs.keys())
costs_list = []
for y in range(20):
map = readMap.read_complete_map('Russiadfs.txt')
hill_solve.hill_climber(map, signal_costs, signals, iterations=200000)
freq = analyse.analyse_signal_frequentie(map)
costs = analyse.get_cost(freq, signal_costs)
costs_list.append(costs)
print(costs)
print('number = '+ str(x))
with open('costs_stats_hill.txt', 'a') as text:
text.write(str(x))
text.write(',')
for cost in costs_list:
text.write(str(cost))
text.write(',')
text.write('\n')
import analyse
<<<<<<< HEAD
for x in range(1, 19):
scheme = analyse.get_cost_scheme(x)
with open('scheme.txt', 'a') as text:
text.write(str(scheme['zA']))
text.write(',')
text.write(str(scheme['zB']))
text.write(',')
text.write(str(scheme['zC']))
text.write(',')
text.write(str(scheme['zD']))
text.write(',')
text.write(str(scheme['zE']))
text.write(',')
text.write(str(scheme['zF']))
text.write(',')
text.write(str(scheme['zG']))
text.write(',')
text.write('\n')
=======
import draw
import readMap
map = readMap.read_complete_map('UnitedStatesdfs.txt')
signal_costs = analyse.get_cost_scheme(4)
draw.draw_america_2(map, signal_costs)
from numpy.random import choice
import analyse
scheme = analyse.get_cost_scheme(1)
print(scheme)
sum = 0
for cost in list(scheme.keys()):
sum += scheme[cost]
weights = []
for cost in list(scheme.keys()):
x = scheme[cost]
y = x/sum
weights.append(1/y)
sum_2 = 0
for weight in weights:
sum_2 += weight
weights_2 = []
for weight in weights:
weights_2.append(weight/sum_2)
print(weights_2)