def buyProduce(self, credit):
for x in range(len(self.consumtion)):
if (Environnement.stock[self.consumtion[x]] > 0):
credit -= Environnement.buyStock(self.consumtion[x],
self.consumtion_amount[x])
else:
credit -= 2000
return credit
def test_win_diagonal(self):
self.winner = [(0, 0), (1, 1), (2, 2)]
self.loser = [(0, 1), (0, 2), (1, 2)]
a_1 = AgentTest(self.winner, 'O')
a_2 = AgentTest(self.loser, 'X')
environnement = Environnement()
test = play_game(a_1, a_2, environnement)
self.assertEqual(test, 'O')
def showEnv(self):
Environnement.showEnvironnementStock()
Environnement.showEnvironnementPrice()
def turnOver(self):
Environnement.turnOver()
def sellProduce(self, credit):
credit += Environnement.sellStock(self.product, self.product_amount)
return credit
from environnement import Environnement
from random import randint, choice
import yaml
Environnement = Environnement()
class BuildingProcess():
def buyProduce(self, credit):
for x in range(len(self.consumtion)):
if (Environnement.stock[self.consumtion[x]] > 0):
credit -= Environnement.buyStock(self.consumtion[x],
self.consumtion_amount[x])
else:
credit -= 2000
return credit
def sellProduce(self, credit):
credit += Environnement.sellStock(self.product, self.product_amount)
return credit
def turnOver(self):
Environnement.turnOver()
def showEnv(self):
Environnement.showEnvironnementStock()
Environnement.showEnvironnementPrice()
class Building(BuildingProcess):
def __init__(self):
from core import Local_Worker as Worker
from environnement import Environnement
from .overview_window import OverviewWindow
from .model_window import ModelWindow
from .wallet_window import WalletWindow
from tools import *
import os
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
env = Environnement(1)
h = 950
w = 550
hp = 1855
if env._platform == 'win32':
wp = 1080 - 55
elif env._platform == 'Linux':
wp = 1080 - 30
class MainWindow(QWidget):
def __init__(self):
super(MainWindow, self).__init__()
self.Set_UI()
def Set_UI(self):
agent_1_mark = 'O'
agent_2_mark = 'X'
agent_1 = AgentAuto(agent_1_mark, agent_2_mark)
agent_2 = AgentAuto(agent_2_mark, agent_1_mark)
agent_1.create_game_tree()
agent_2.create_game_tree()
agent_1_win = 0
agent_2_win = 0
draw = 0
for i in range(1000000):
environnement = Environnement()
agent_1.new_game()
agent_2.new_game()
if i % 2 == 0:
win = play_game(agent_2, agent_1, environnement)
else:
win = play_game(agent_1, agent_2, environnement)
if agent_1_mark == win:
agent_1_win += 1
elif agent_2_mark == win:
agent_2_win += 1
else:
draw += 1
help=
"Training or eval mode, default is training. Uselfull only without GUI displayed",
default=0,
choices=[0, 1])
args = parser.parse_args()
if args.GUI == 1:
import qdarkstyle
from PyQt5 import QtGui
from PyQt5.QtWidgets import QApplication
from GUI import MainWindow
app = QApplication(sys.argv)
app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
launch = MainWindow()
launch.show()
sys.exit(app.exec_())
else:
from environnement import Environnement
from core import Local_Worker
env = Environnement(0)
if args.mode == 1:
env.mode = "eval"
else:
env.mode = "train"
worker = Local_Worker(env)
worker.run(env)
sys.exit(0)