def init_ui(self):
# Sending mainWindow obj to initialize components
# No need to store the objs because they're just init helper
# Use parent-child relationship to access between classes
self.menu = menu.menu(self)
tool.tool(self)
status.status(self)
self.central = central.central(self)
def mainMenu1():
save = scripts.savePull()
var1 = save[0]
var6 = save[5]
scripts.screenClear()
scripts.versionHeader()
scripts.invDisplay()
if var6 == 0:
print(
textwrap.fill(
'You are Liam. An astronaut by trade, you took a bad turn on the Space Belt and landed on a strange planet. You awaken, laying in a field of grass. You see hills, a cave, and strange flora.',
75))
if var6 == 1:
print(
textwrap.fill(
"You're covered in the blood of the innocent reptilian man that you killed. The sky rumbles.",
75))
print('\nHILL [1]')
print('CAVE [2]')
print('TOOL [3]')
if var1 == 0:
print('QUIT [4]')
if var1 == 1:
print('SOUND [4] <--')
if var1 == 1:
print('QUIT [5]')
while True:
try:
choose = int(input('\nACTION >> '))
if choose == 1:
hill.hill()
if choose == 2:
cave.cave()
if choose == 3:
tool.tool()
if choose == 4:
if var1 == 0:
scripts.quitHandler()
if var1 == 1:
ch1end.ch1End()
if choose == 5:
if var1 == 1:
scripts.quitHandler()
if var1 == 0:
scripts.inpErrorHandler()
if choose > 5 or choose < 0:
scripts.inpErrorHandler()
mainMenu1()
except ValueError:
scripts.inpErrorHandler()
mainMenu1()
def setUp(self, islocal=0):
self.api = API2(islocal)
self.t = tool()
self.login_param, self.deviceid = runconfig.RunConfig().get_login(
islocal)
self.t.get_login_header(self.api, self.deviceid, self.login_param)
self.ecode = errorCodeConst()
def __init__(self, islocal=0):
self.api = API2(islocal)
self.casedb = DBManual()
self.t = tool()
self.login_param, self.deviceid = runconfig.RunConfig().get_login(
islocal)
self.t.get_login_header(self.api, self.deviceId, self.login_param)
self.sql = """update login_case set args=%s, response=%s,result=%s,test_time=%s WHERE case_no = %s"""
def __init__(self, islocal=0):
self.api = API2(islocal)
self.casedb = DBManual()
# self.sql = """update user_interactive_case set args=%s,response=%s,result=%s,test_time=%s WHERE case_no = %s"""
self.t = tool()
self.login_param, self.deviceid = runconfig.RunConfig().get_login(islocal)
self.ecode = errorCodeConst()
self.pwd = base64.b64encode("888888")
def __init__(self, islocal=0):
self.api = API2(islocal)
self.casedb = DBManual(islocal)
self.sql = """update user_case set args=%s, response= %s,result= %s,test_time= %s WHERE case_no = %s"""
self.t = tool()
# self.deviceid = "c37c6b3c-10cc-411d-abfe-200135522e6d"
self.login_param, self.deviceid = runconfig.RunConfig().get_login(
islocal)
self.t.get_login_header(self.api, self.deviceid, self.login_param)
self.ecode = errorCodeConst()
def getContent(self, pageCode):
# 匹配当前所在页内的内容
pattern = re.compile('<div id="post_content_.*?>(.*?)</div>')
# 得到与之匹配的内容
items = re.findall(pattern, pageCode)
# 循环输出所得的内容
for item in items:
result = tool().change(item)
print(result)
# 在文件中写入爬取下的内容
self.file.write(result)
def __init__(self, islocal=0):
self.api = API2(islocal)
self.casedb = DBManual()
self.sql = """update other_case set args=%s,response=%s,result=%s,test_time=%s WHERE case_no = %s"""
self.t = tool()
self.login_param, self.deviceid = runconfig.RunConfig().get_login(islocal)
self.login_param2 = {
"phoneNumber": "18782943852",
"password": "******",
"platform": "iOS",
"clientVersion": "2.0",
"machineId": 100001
}
self.t.get_login_header(self.api, self.deviceid, self.login_param)
self.ecode = errorCodeConst()
def __init__(self):
# folder Path
self.folderPath = None
# logFilePath
self.logFilePath = None
# tool
self.tool = tool.tool()
# code Number
self.codeNumber = None
# Initialization folder
# 解压文件的路径
self.decompression_file_path = None
# file path list
self.pathList = []
# code file all lines
self.code_all_lines = 0
# code file type
self.codeFileTypeList = ["html", "css", "js", "py", "php"]
self.ignorefile = [
"txt",
]
self.decompression_E = ['zip', 'tar']
self.emptydir = []
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis import tool as tool import numpy as np from sklearn.externals import joblib SIZE = 828 IMAGE_SIZE = 224 NUM_CHANNEL = 1 LABEL = 6 BASE_DIVIDE = 128 ACCELERATION_FACTOR = 256 FEATURE = 5 FILENAME = "/home/elvis/work/ML/tensorflow/separa/lda_svm.txt" util = tool.tool() data, label = tool.parse_data(SIZE, IMAGE_SIZE, NUM_CHANNEL, LABEL) data, label = tool.alignment_data(data=data, label=label, LABEL=LABEL, BASE_DIVIDE=BASE_DIVIDE) data = tool.min_max_normalization(data) np.set_printoptions(threshold='nan') label = np.argmax(label, 1) SIZE = label.shape[0] data = np.reshape(data, [SIZE, data.shape[1]**2]) TRAIN_SIZE = SIZE - ACCELERATION_FACTOR EVAL_SIZE = SIZE - TRAIN_SIZE train_data, train_label, eval_data, eval_label = tool.random_sample(data, label, ACCELERATION_FACTOR, LABEL)
# coding=UTF-8
import numpy as np
from tool import tool
if __name__ == '__main__':
# hmw1
tool = tool()
x = np.array([[0.707, 0.707], [0, 1], [-0.643, 0.766], [-1, 0],
[-0.707, -0.707]])
# w1=[1,0],w2=[0,-1]
w = np.array([[1., 0.], [0., -1.]]) # 这种形式采用矩阵内积
tool.iteration = 0
tool.dot1 = (0, 0.6) # 描述学习率函数
# 归一化
input_nor = np.empty(shape=(0, len(x[0])))
for i in range(len(x)):
input_nor = np.append(input_nor, [tool.Normalize(x[i])], axis=0)
w_nor = np.empty(shape=(0, len(w)))
for i in range(len(w[0])):
w_nor = np.append(w_nor, [tool.Normalize(w[i])], axis=0)
for i in range(len(x)):
dis = tool.Euclidean(input_nor[i], w_nor)
data, inde = tool.find_winner(dis)
w[inde] = tool.WTA(x[i], w[inde], 0, 0)
print(w)
def __init__(self):
self.app_root = os.path.dirname(__file__)
self.templates_root = os.path.join(self.app_root, 'templates')
self.render = web.template.render(self.templates_root)
self.tool = tool.tool()
self.db = database.database()
MixerChannel(mapping="chrome",
midi={
2: "level",
50: "mute",
34: "solo",
}),
MixerChannel(mapping="edge",
midi={
2: "level",
50: "mute",
34: "solo",
}),
MixerChannel(mapping="spotify",
midi={
3: "level",
51: "mute",
35: "solo",
}),
MixerChannel(mapping="discord",
midi={
7: "level",
55: "mute",
39: "solo",
}),
MixerChannel(mapping="media_play_pause", midi={41: "keyboard"}),
MixerChannel(mapping="media_previous", midi={43: "keyboard"}),
MixerChannel(mapping="media_next", midi={44: "keyboard"}),
]
tool(channels)
import tool
import re,requests
tool=tool.tool()
# bugku-秋名山老司机
# url='http://123.206.87.240:8002/qiumingshan/'
# tool=tool.tool()
# for i in range(5):
# data=tool.get_webs(url,True)
# data={
# 'value':eval(re.findall('([0-9\+\-\*\/]+)=',data)[0])
# }
# _=tool.get_post(url,'post',data,True)
# print(_)
# bugku-速度要快
# url='http://123.206.87.240:8002/web6/'
# tool=tool.tool()
# for i in range(2):
# data=tool.bm_base64_decode(tool.get_webs(url,True).headers['flag'])
# data=re.findall(': ([0-9A-Za-z\=]+)',str(data))[0]
# data=tool.bm_base64_decode(data)[2]
# data={
# 'margin':data
# }
# data=tool.get_post(url,'post',data,True)
# print(data)
def __init__(self, islocal=0):
self.api = API2(islocal)
self.casedb = DBManual()
self.t = tool()
self.sql = """update register_case set response=%s,result=%s,test_time=%s WHERE case_no = %s"""