# import other files
from valuation import *
from water import *
from house import *
from visuals import *
from csv_reader import *
from csv_writer import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# get best best from file
beginmap, houses, water, start_value, houses_total, pieces_of_water = csv_reader("1116_May_23_20worstvalue100000_7652220.0.csv")
# initialise variables
best_houses = list(houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
values = []
print "best value before", best_value
name1 = str(start_value) + "before"
nr_of_tests = 100000
# values for simulated annealing, change as you feel fit
temperature = 10000000000
from water import *
from house import *
from visuals import *
from csv_reader import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# fill in as you like :)
houses_total = 20
pieces_of_water = 4
# get best best from file
beginmap, houses, water, start_value = csv_reader("output.csv", houses_total,
pieces_of_water)
print("value of first map", start_value)
# initialise variables
best_houses = list(houses)
temporary_houses = list(best_houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
name1 = str(start_value) + "before"
nr_of_tests = 100000
for i in range(nr_of_tests):
from house import *
from visuals import *
from csv_reader import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# fill in as you like :)
houses_total = 20
pieces_of_water = 4
# get best best from file
beginmap, houses, water, start_value = csv_reader("centered_housing.csv",
houses_total,
pieces_of_water)
print("value of first map", start_value)
# initialise variables
best_houses = list(houses)
temporary_houses = list(best_houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
name1 = str(start_value) + "before"
nr_of_tests = 10000
for i in range(nr_of_tests):
# import other files
from valuation import *
from water import *
from house import *
from visuals import *
from csv_reader import *
from csv_writer import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# get best best from file
beginmap, houses, water, start_value, houses_total, pieces_of_water = csv_reader("0126_May_22_20bestvalue10000_11471460.0.csv")
# initialise variables
best_houses = list(houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
name1 = str(start_value) + "before"
nr_of_tests = 1000
# values for simulated annealing, change as you feel fit
temperature = 100000000000
cooldown_rate = 0.999
winning = 0
from water import *
from house import *
from visuals import *
from csv_reader import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# fill in as you like :)
houses_total = 20
pieces_of_water = 4
# get best best from file
beginmap, houses, water, start_value = csv_reader("centered_housing.csv", houses_total, pieces_of_water)
print ("value of first map", start_value)
# initialise variables
best_houses = list(houses)
temporary_houses = list(best_houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
name1 = str(start_value) + "before"
nr_of_tests = 10000
# values for simulated annealing, change as you feel fit
temperature = 10000
cooldown_rate = 0.99
from water import *
from house import *
from visuals import *
from csv_reader import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# fill in as you like :)
houses_total = 20
pieces_of_water = 4
# get best best from file
beginmap, houses, water, start_value = csv_reader("output.csv", houses_total, pieces_of_water)
print ("value of first map", start_value)
# initialise variables
best_houses = list(houses)
temporary_houses = list(best_houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
name1 = "before" + str(start_value)
nr_of_tests = 10000
for i in range(nr_of_tests):
# # import other files
from valuation import *
# from data_to_csv import *
from water import *
from house import *
# from visuals import *
from csv_reader import *
from csv_writer import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# get best best from file
beginmap, houses, water, start_value, houses_total, pieces_of_water = csv_reader(
"equal_spacing_map.csv")
# initialise variables
temporary_map = beginmap
best_value = start_value
temporary_value = 0
all_water = water
print "value after = ", best_value
for i in range(len(houses)):
houses[i].updateDistance(distance(houses[i], houses, i, True))
# valuate new map
best_value = euroValuation(houses, 0)
# import other files
from valuation import *
from water import *
from house import *
from visuals import *
from csv_reader import *
from csv_writer import *
# different type of houses
mais = "maison"
bung = "bungalow"
egw = "eengezinswoning"
# get best best from file
beginmap, houses, water, start_value, houses_total, pieces_of_water = csv_reader(
"1116_May_23_20worstvalue100000_7652220.0.csv")
# initialise variables
best_houses = list(houses)
temporary_map = beginmap
best_value = start_value
temporary_value = 0
values = []
print "best value before", best_value
name1 = str(start_value) + "before"
nr_of_tests = 100000
# values for simulated annealing, change as you feel fit
temperature = 10000000000