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))
signals = ['zA', 'zB', 'zC', 'zD', 'zE', 'zF', 'zG']
cost1 = {'zA': 12, 'zB': 26, 'zC': 27, 'zD': 30, 'zE': 37, 'zF': 39, 'zG': 41}
cost2 = {'zA': 19, 'zB': 20, 'zC': 21, 'zD': 23, 'zE': 36, 'zF': 37, 'zG': 38}
cost3 = {'zA': 16, 'zB': 17, 'zC': 31, 'zD': 33, 'zE': 36, 'zF': 56, 'zG': 57}
cost4 = {'zA': 3, 'zB': 34, 'zC': 36, 'zD': 39, 'zE': 41, 'zF': 43, 'zG': 58}
costlist = [cost1, cost2, cost3, cost4]
begintemp = {12: 8, 19: 4, 16: 8, 3: 14}
citer = 1
endtemp = [0.001, 0.01, 0.1, 0.25, 0.5, 0.75, 1, 1.5, 2]
with open("endtempstats.txt", 'a') as text:
for c in costlist:
for e in endtemp:
m = 0
print('end: ' + str(e))
text.write(str(citer) + ',')
text.write(str(begintemp[c['zA']]) + ',')
text.write(str(e) + ',')
for y in range(20):
map = readMap.read_complete_map('Russiadfs.txt')
map = sim_an_search.sim_an(map, c, signals, 200000,
begintemp[c['zA']], e)
freq = analyse.analyse_signal_frequentie(map)
costs = analyse.get_cost(freq, c)
text.write(str(costs) + ', ')
m += costs
print('mean: ' + str(m / 20))
text.write('\n')
citer += 1
import analyse
import readMap
import sim_an_search
s = '5'
signal_costs = analyse.get_cost_scheme(int(s))
signals = list(signal_costs.keys())
for x in range(23, 31):
costs_list = []
for y in range(20):
map = readMap.read_complete_map('Russiadfs.txt')
sim_an_search.sim_an(map,
signal_costs,
signals,
begin_temp=x,
end_temp=0.5)
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_scheme' + s, 'a') as text:
text.write(str(x))
text.write(',')
for cost in costs_list:
text.write(str(cost))
text.write(',')
text.write('\n')
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
m = 0
lowest_costs = 10000
print('begin = ' + str(new_begin_temp) + ' end = ' + str(new_end_temp))
for y in range(10):
map = readMap.read_complete_map('Russiadfs.txt')
map = sim_an_search.sim_an(map, c, signals, 200000, new_begin_temp, new_end_temp)
freq = analyse.analyse_signal_frequentie(map)
costs = analyse.get_cost(freq, c)
if costs < lowest_costs:
lowest_costs = costs
m += costs
print(y)
mean = m / 10
print('mean = '+str(mean)+' lowest = '+str(lowest_costs))
iterations += 1
if lowest_costs < best_score:
with open('best_temp_'+ s +'.txt', 'w') as text:
text.write(str(new_begin_temp))
text.write(',')
text.write(str(new_end_temp))
text.write(',')
signals = ['zA', 'zB', 'zC', 'zD', 'zE', 'zF', 'zG']
cost1 = {'zA':12, 'zB':26, 'zC':27, 'zD':30, 'zE':37, 'zF':39, 'zG':41}
cost2 = {'zA':19, 'zB':20, 'zC':21, 'zD':23, 'zE':36, 'zF':37, 'zG':38}
cost3 = {'zA':16, 'zB':17, 'zC':31, 'zD':33, 'zE':36, 'zF':56, 'zG':57}
cost4 = {'zA':3, 'zB':34, 'zC':36, 'zD':39, 'zE':41, 'zF':43, 'zG':58}
costlist = [cost1, cost2, cost3, cost4]
begintemp = [9, 5, 9, 15]
maplist = [readMap.read_complete_map('Ukrainedfs.txt'), readMap.read_complete_map('UnitedStatesdfs.txt'), readMap.read_complete_map('Russiadfs.txt')]
with open('temptation.txt', 'a') as text:
for m in range(3):
for c in range(4):
lowest_cost = 2000
for y in range(20):
map = maplist[m]
sim_an_search.sim_an(map, costlist[c], signals, begin_temp=begintemp[c], end_temp=0.5)
freq = analyse.analyse_signal_frequentie(map)
costs = analyse.get_cost(freq, costlist[c])
if costs < lowest_cost:
lowest_cost = costs
print(m, c + 1, y, lowest_cost)
text.write(str(m) + str(c + 1) + ': ' + str(lowest_cost))
text.write('\n')