Esempi in Python per csv_reader

Esempio n. 1

File: simulated_annealing.py Progetto: JuliaJansen/-HabboHotel

# 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

Esempio n. 2

File: hill_climber_small.py Progetto: JuliaJansen/-HabboHotel

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):

Esempio n. 3

File: babyhouse_hillclimber.py Progetto: JuliaJansen/-HabboHotel

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):

Esempio n. 4

File: hillclimber - kopie.py Progetto: JuliaJansen/-HabboHotel

# 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

Esempio n. 5

File: simulated_annealing.py Progetto: JuliaJansen/-HabboHotel

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

Esempio n. 6

File: hill_climber_map.py Progetto: JuliaJansen/-HabboHotel

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):

Esempio n. 7

File: specific_map_maker.py Progetto: JuliaJansen/-HabboHotel

# # 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)

Esempio n. 8

# 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