def run_form():
# 初始化：读取文件，初始化第一条文本，初始化第一个词
function.read_file()
function.init_text(0)
function.init_word(0)
# 显示主页面
app = QtGui.QApplication(sys.argv)
win = form.Ui_Dialog()
win.show()
# 数据填充
function.fill(win)
sys.exit(app.exec_())
def Encryption():
print('请输加密文件路径：', end='')
file_path = input()
print('请输入用户公钥文件路径：', end='')
pubkey_path = input()
pubkey = RSA.read_pubkey(pubkey_path)
text = function.read_file(file_path)
text = RSA.rsaEncrypt(text, pubkey)
function.save_file(file_path, text)
print('文件加密成功！')
def Decryption():
print('请输入姓名：', end='')
name = input()
print('请输解密文件路径：', end='')
file_path = input()
privkey_path = config.certificate + name + '.pem'
privkey = RSA.read_privkey(privkey_path)
text = function.read_file(file_path)
text = RSA.rsaDecrypt(text, privkey)
function.save_file(file_path, text)
print('文件解密成功！')
def autograph():
print('请输入姓名：', end='')
name = input()
print('请输入用户私钥文件路径：', end='')
privkey_path = input()
CApubkey = RSA.creat_key(5120)
text = function.read_file(privkey_path)
text = RSA.rsaEncrypt(text, CApubkey)
function.save_file(config.certificate + name + '.pem', text)
print('CA私钥文件路径为：', config.CAprivkey_path)
print('申请认证成功！')
def authenticate():
print('请输入姓名：', end='')
name = input()
print('请输入CA私钥文件路径：', end='')
CAprivkey_path = input()
if os.path.exists(config.certificate + name + '.pem'):
CAprivkey = RSA.read_privkey(CAprivkey_path)
text = function.read_file(config.certificate + name + '.pem')
text = RSA.rsaDecrypt(text, CAprivkey)
function.save_file(config.certificate + name + '.pem', text)
print('认证成功！')
else:
print('认证失败！')
# Isaac Li
# 1.23.2018
import time
import numpy as np
import xgboost as xgb
from sklearn.model_selection import KFold
from sklearn.metrics import mean_squared_error
import function
train, test = function.read_file()
train = train.loc[train['血糖'] > 5]
train["血糖"] = np.log1p(train["血糖"])
train, test = function.transform(train, test)
pred = test.copy()
pred.drop('血糖', axis=1, inplace=True)
model_xgb = xgb.XGBRegressor(colsample_bytree=0.7, gamma=0.15,
learning_rate=0.03, max_depth=5,
min_child_weight=80, n_estimators=1100,
reg_alpha=0.5, reg_lambda=0.7,
subsample=0.9, silent=True,
nthread=8, early_stopping_rounds=100)
'''
model_xgb = xgb.XGBRegressor(colsample_bytree=0.4603, gamma=0.0468,
learning_rate=0.05, max_depth=3,
min_child_weight=1.7817, n_estimators=2200,
reg_alpha=0.4640, reg_lambda=0.8571,
subsample=0.5213, silent=True,
nthread = 8)'''
print('\n\nStart...')
from math import atan, pi
from function import createCountry, read_file, write_country_file, write_individual
def trade_function(d, s):
return (1.2) * (2 / pi) * atan((d - s) * (1 / 5000)) + 1.2
if __name__ == "__main__":
print("開始執行程式")
resources = ["糧食", "木頭", "鐵礦", "石頭"]
trade_info = read_file(
"系統貿易(回應)") # [時間, 國家名, 賣糧, 賣木, 賣鐵, 賣石, 買糧, 買木, 買鐵, 買石]
countryDict = createCountry()
print("讀檔完成\n")
# 定價
price_list, demand, supply = [], [0] * 4, [
0
] * 4 # [糧食, 木頭, 鐵礦, 石頭], 物資的總需求，總供給 [糧食, 木頭, 鐵礦, 石頭]
for j in trade_info:
name = j[1]
if countryDict[name].food < j[2]: # 如果物資不夠賣，將當回賣的物資量等同現有物資存量，並顯示錯誤
j[2] = countryDict[name].food
print(f"{name}沒有足夠的糧食去貿易")
if countryDict[name].wood < j[3]:
j[3] = countryDict[name].wood
print(f"{name}沒有足夠的木頭去貿易")
elif command == "create_file":
name = sys.argv[2]
create_file(name)
elif command == "del_file":
name = sys.argv[2]
del_file(name)
elif command == "del_dir":
name = sys.argv[2]
del_dir(name)
elif command == "re_name":
name = sys.argv[2]
n_name = sys.argv[3]
re_name(name, n_name)
elif command == "move_file":
name = sys.argv[2]
n_name = sys.argv[3]
move_file_in_dir(name, n_name)
elif command == "copy_file":
name = sys.argv[2]
n_name = sys.argv[3]
copy_file(name, n_name)
elif command == "read_file":
name = sys.argv[2]
read_file(name)
elif command == "cls":
cls()
elif command == "help":
name = sys.argv[2]
help_list(name)
# Isaac Li
# 1.23.2018
import time
import numpy as np
from sklearn.model_selection import KFold
from sklearn.metrics import mean_squared_error
import function
train, test = function.read_file(path='a')
train["血糖"] = np.log1p(train["血糖"])
train, test = function.add_column(train, test)
train, test = function.transform(train, test)
print('\n\nStart...')
t0, mses = time.time(), []
train_preds, test_preds = np.zeros(train.shape[0]), np.zeros((test.shape[0], 5))
predictors = [f for f in test.columns if f not in ['血糖']]
kf = KFold(n_splits=5, shuffle=True, random_state=520)
for i, (train_index, test_index) in enumerate(kf.split(train)):
print(' .{}/5.'.format(i + 1))
train_feat1, train_feat2 = train.iloc[train_index], train.iloc[test_index]
gbm = function.settings.model_lgb.fit(train_feat1[predictors], train_feat1['血糖'],
categorical_feature=['性别', '体检日期'])
predict = gbm.predict(train_feat2[predictors])
train_preds[test_index] += predict
mses.append(.5 * mean_squared_error(np.expm1(train_feat2['血糖']), np.expm1(predict)))
test_preds[:, i] = gbm.predict(test[predictors])
cv = .5 * mean_squared_error(np.expm1(train['血糖']), np.expm1(train_preds))
import function
import os
ID, CATEGORY, PRODUCT, QUANTITY, PRICE = range(5)
list_options_for_main_menu = [
"Press A to add to basket", "Press P to pay", "Press X to exit"
]
list_options_for_basket_menu = [
"Press R to remove item to basket", 'Press F to complete the oreder',
'Press C to change quantity to basket', 'Press X to exit',
"Press B to continue shopping"
]
column_labels = ["ID", "Category", "Product", "Quantity", "Price"]
inventory = function.read_file("stock.csv")
h_char = "-"
v_char = " " * 5
def find_longest_item(list_of_items, label):
str_length = len(column_labels[label])
for item in list_of_items:
if len(str(item[label])) > str_length:
str_length = len(str(item[label]))
return str_length
def max_lengths(list_of_items):
return [find_longest_item(inventory, x) for x in range(5)]
# ------------ import --------------------------------------------------------------------------------------------------
import function
import pandas as pd
from sklearn.metrics import mean_squared_error
import time
import numpy as np
from sklearn.model_selection import KFold
# ------------ read file -----------------------------------------------------------------------------------------------
base, power, minimum = 1.7, 1, 7.2
s = input(' s: ')
if not s:
print(' s. ')
train_a, test_a = function.read_file(path='sa')
train_b, test_b = function.read_file(path='sb')
else:
train_a, test_a = function.read_file(path='a')
train_b, test_b = function.read_file()
train_a, train_b = train_a.sample(frac=1), train_b.sample(frac=1)
ans_path = function.settings.source_path + 'd_answer_a_20180128.csv'
ans = pd.read_csv(ans_path,
encoding='gbk') # NOTICE: add a row in file as index!
# ------------ predict a -----------------------------------------------------------------------------------------------
a = input('Part A? -> ')
if a:
print('Done.')
import pandas as pd
from time import sleep
from function import (read_file, write_country_file, createCountry,
write_individual, consume, education, handle_action,
production, read_card, card, war, wonder, write_wonders)
if __name__ == "__main__":
print("開始執行程式")
countryDict = createCountry()
actionList, cardDict = handle_action(countryDict), read_card()
wonderlist = read_file("世界奇觀")
produceNum = pd.read_csv("生產函數表.csv", index_col=0, encoding="ANSI")
countryName = [
"亞特蘭提斯", "阿斯嘉", "奧林帕斯", "瓦干達", "香格里拉", "瓦拉納西", "瑪雅", "塔爾塔洛斯", "特奧蒂瓦坎",
"復活節島"
]
defeated, messageDict = {i: False
for i in countryName
}, {i: []
for i in countryName}
print("讀取檔案完成")
for i in actionList:
production(countryDict, produceNum, i.name, i.produceList, i.occupyMan,
messageDict)
if i.useCard or i.soldCard:
card(countryDict, i.name, cardDict, i.useCard, i.soldCard,
defeated, messageDict)
education(countryDict, i.name, i.education, messageDict)
def main():
basket = []
while True:
option = "0"
if option == "0":
stock = function.read_file("stock.csv")
display.print_table(stock, "inventory")
display.print_menu(list_options_for_main_menu)
get_input = display.get_input(["Enter your option!"], "")
option = get_input[0]
if option.lower() == "a":
while True:
items_for_basket = display.get_single_input("Choose id: ")
if function.check_id(items_for_basket, stock):
quantity_for_basket = display.get_single_input(
"Quantity: ")
if function.check_quantity(items_for_basket,
quantity_for_basket, stock):
function.add_basket(items_for_basket,
quantity_for_basket, basket, stock)
else:
print("Not enough quantity! ")
else:
print("Not in stock!")
second_choose = display.get_input(
["Do you want to add something? "], "")
if second_choose[0].lower() == "no":
os.system('clear')
break
option = "0"
if option.lower() == "x":
os.system('clear')
exit()
while option.lower() == "p":
os.system('clear')
display.print_table(basket, "basket")
display.print_menu(list_options_for_basket_menu)
second_choose = display.get_single_input('Choose the option: ')
if second_choose.lower() == "r":
id_for_remove = display.get_single_input(
"Choose the item for complet remove! ")
function.remove_from_bascket(id_for_remove, basket)
os.system('clear')
option = "p"
if second_choose.lower() == 'c':
id_for_cahnge_quantity = display.get_single_input(
"Choose the item to change the quantity! ")
if function.check_id(id_for_cahnge_quantity, basket):
quantity_for_cahange = display.get_single_input(
"Choose quantity! ")
if function.check_quantity(id_for_cahnge_quantity,
quantity_for_cahange, basket):
function.change_qunatity_from_bascket(
id_for_cahnge_quantity, quantity_for_cahange,
basket)
option = 'p'
else:
print('You do not have this quantity in the basket!')
option = "p"
else:
print('You do not have this item in the basket!')
option = 'p'
if second_choose.lower() == 'f':
a = 0
while a < 3:
to_valid = function.card_payment()
if function.validate_card_details(to_valid):
function.write(function.update_stock(basket))
print(
"Nu ai bani pe card sarakule!!!, Mars la munca baaa, lepra ce esti! Oricum nu stii sa citesti. "
)
exit()
else:
a += 1
if second_choose.lower() == 'b':
option = "0"
break
if second_choose.lower() == 'x':
os.system('clear')
exit()
