def checkDate(self, date):
localTime = time.localtime()
localDate = '%04d-%02d-%02d' % (localTime.tm_year, localTime.tm_mon,
localTime.tm_mday)
# 获得当前时间时间戳
currentTimeStamp = int(time.time())
# 预售时长的时间戳
deltaTimeStamp = '2505600'
# 截至日期时间戳
deadTimeStamp = currentTimeStamp + int(deltaTimeStamp)
# 获取预售票的截止日期时间
deadTime = time.localtime(deadTimeStamp)
deadDate = '%04d-%02d-%02d' % (deadTime.tm_year, deadTime.tm_mon,
deadTime.tm_mday)
# print(Colored.red('请注意合理的乘车日期范围是:{} 至 {}'.format(localDate, deadDate)))
# 判断输入的乘车时间是否在合理乘车时间范围内
# 将购票日期转换为时间数组
trainTimeStruct = time.strptime(date, "%Y-%m-%d")
# 转换为时间戳:
trainTimeStamp = int(time.mktime(trainTimeStruct))
# 将购票时间修改为12306可接受格式 ，如用户输入2018-8-7则格式改为2018-08-07
trainTime = time.localtime(trainTimeStamp)
trainDate = '%04d-%02d-%02d' % (trainTime.tm_year, trainTime.tm_mon,
trainTime.tm_mday)
# 比较购票日期时间戳与当前时间戳和预售截止日期时间戳
if currentTimeStamp <= trainTimeStamp and trainTimeStamp <= deadTimeStamp:
return True, trainDate
else:
print(
Colored.red('Error:您输入的乘车日期:{}, 当前系统日期:{}, 预售截止日期:{}'.format(
trainDate, localDate, deadDate)))
return False, None
class GoogleTranslator(Translator):
__headers = {
'accept-encoding':
'gzip, deflate, br',
'accept-language':
'zh-Hans-CN,zh-CN;q=0.9,zh;q=0.8,en;q=0.7,en-GB;q=0.6,en-US;q=0.5',
'cookie':
'_ga=GA1.3.109609342.1586679922; NID=204=smkzALs4_20pfLxMBF7VJWK7LivaM4QPxGxKYivIDAvSsNDWUGiUoebtJTAJEn0rmAg8IGA9RL3HCWUyJeDTr3WeYsDxQLHnCMlka_f-jaq45m70vbQr6MhRaR-nqE6Zlp1uSGAtMu-FBkkTPLbN4jFahcUiZ6gCrbcz0mTNLkM; _gid=GA1.3.1741967395.1589608844; 1P_JAR=2020-5-16-11',
'referer':
'https://translate.google.cn/',
'sec-fetch-dest':
'empty',
'sec-fetch-mode':
'cors',
'sec-fetch-site':
'same-origin',
'user-agent':
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36 Edg/81.0.416.72',
}
red = compile(r'<b>([a-zA-z]+?)</b>')
clor = Colored()
# *获取google翻译的内部实现
def __get_res(self, keyword: str) -> str:
from google_index import str_
tk = search(r'=(.*)', execjs.compile(str_).call('sM', keyword))[1]
url = f'https://translate.google.cn/translate_a/single?client=webapp&sl=auto&tl=zh-CN&hl=zh-CN&dt=at&dt=bd&dt=ex&dt=ld&dt=md&dt=qca&dt=rw&dt=rm&dt=sos&dt=ss&dt=t&otf=2&ssel=0&tsel=0&kc=1&tk={tk}&q={keyword}'
res = requests.get(url, headers=self.__headers)
res.encoding = 'utf-8'
return loads(res.text)
#*翻译接口
def translator(self, context=None):
if not context:
self.result = self.__get_res(super().context_input())[0][0][0]
return self.result
if isinstance(context, str):
self.result = self.__get_res(context)[0][0][0]
return self.result
else:
raise ValueError('context must be a str.')
#*word的翻译
def word_translator(self, word: str = None, synonyms=True, example=False):
if not word:
word = super().context_input()
elif not isinstance(word, str):
raise ValueError('word must be a str Obj')
str_list = self.__get_res(word)
level1 = str_list[0]
print('+' + '-' * 60 + '+')
print(level1[0][0], end=' ')
print(level1[0][1], end=' ')
print(level1[1][2]) #*拼音
if synonyms:
level2 = str_list[1]
level3 = str_list[11]
else:
level3 = level2 = []
if example:
level4 = str_list[13][0]
else:
level4 = []
#*近义词
if len(level2) == 2:
print('词性: ', end='')
print(level2[0][0])
print('近义词: ', end='')
for each in level2[0][1]:
print(each, end=' ')
print()
print('词性: ', end='')
print(level2[1][0])
print('近义词: ', end='')
for each in level2[1][1]:
print(each, end=' ')
elif len(level2) == 1:
print('词性: ', end='')
print(level2[0][0])
print('近义词: ', end='')
for each in level2[0][1]:
print(each, end=' ')
print() #*短语
if level3:
print('+' + '-' * 30 + '短语' + '-' * 30 + '+')
if len(level3) == 2:
print('词性: ', end='')
print(level3[0][0])
for each in level3[0][1][0][0]:
print(each, end=' /')
print()
print('词性: ', end='')
print(level3[1][0])
for each in level3[1][1][0][0]:
print(each, end=' /')
elif len(level3) == 1:
print('词性: ', end='')
print(level3[0][0])
for each in level3[0][1][0][0]:
print(each)
#*例句
if level4:
print()
print('+' + '-' * 30 + '例句' + '-' * 30 + '+')
for each, i in zip(level4, range(1, len(level4) + 1)):
x, y, z = self.heightlight(each[0])
print(f'{i}.', x + y + z)
# print(f'{x}.',each[0])
print('+' + '-' * 30 + '-' * 30 + '+')
def heightlight(self, word: str):
'''d <b>love</b> me for'''
re_ = self.red.search(word)
w_list = word.split(re_[0])
# re_2 = red.sub(re_,word)
return w_list[0], self.clor.red(re_[1]), w_list[-1]
'''
@Time : 11.19 0019 上午 10:22
@Author : zhuqingjie
@User : zhu
@FileName: result_show.py
@Software: PyCharm
'''
import cv2, random, os, json, time, sys
import numpy as np
sys.path.append('..')
from color import Colored as C
print_ = lambda x: print(
C.blue(
f"--> [{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}]: {x}"
))
def img_overlay_intensity_line(*imgs_, **kwargs):
'''
在图像中随机选取一条横线，然后在其上方画出强度值曲线。目前只处理灰度图，传彩色图也按灰度图处理，返回也是灰度图
:param imgs_: 多张要处理的图像,可以是numpy矩阵形式也可以是路径形式，矩阵返回矩阵，路径返回路径
:param kwargs:
:return: 返回多张图像相同坐标下的强度分布曲线图
'''
try:
# print(imgs_)
# print(kwargs)
dist = int(kwargs.get('dist', 150)) # 要统计的直线的长度
high = int(kwargs.get('high', 80)) # 展示的时候曲线最高的高度
import os
from job import Job
from category import JobCategory
from type import T
from newcase import do
from color import Colored
from util import validateJob
from autoRead import parse_excel
from util import isExist
cl = Colored()
valid = True
print(cl.green("请选择你要做的新case类型【1-4】:"))
print(cl.cyan(" 1. USA"))
print(cl.cyan(" 2. CAN"))
print(cl.cyan(" 3. 非WMT"))
print(cl.cyan(" 4. 印刷"))
a = input(cl.magenta("your selection is: "))
if a != '1' and a!='2' and a!='3' and a!='4':
print("非法操作，程序退出")
exit()
job = Job()
def handle_type(t):
if t == 1:
job.t = T.ADDAPTATION
elif t==2 :
'''
import json, os, cv2, sys, time
import tensorflow as tf
from flask import Flask, request
from pathlib import Path
sys.path.append('..')
from color import Colored as C
# from model import UNET as G
import numpy as np
# import config as cf
os.environ['CUDA_VISIBLE_DEVICES'] = ''
print_ = lambda x: print(C.blue(f"--> [{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}]: {x}"))
def handle(dic_url, model_path, saved_dir, sr_or_os):
if sr_or_os == 'sr':
from model import UNET_sr as G
elif sr_or_os == 'os':
from model import UNET_os as G
else:
print('inference.py: line 25, [sr_or_os] must be "sr" or "os".')
exit()
print('\n')
print('-' * 50)
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
def greenColor(self, str):
return Colored.green(str)
def redColor(self, str):
return Colored.red(str)
def inputStation(self, str):
station = input('{}：\n'.format(str))
if not station in StationCodes().getCodesDict().keys():
print(Colored.red('Error:车站列表里无法查询到{}'.format(station)))
station = input('{}：\n'.format(str))
return station
print_ = lambda x: print(
f"--> [{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}]: {x}"
)
def handle():
print('\n')
print('-' * 50)
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
sk = socket.socket()
ip = '127.0.0.1'
port = 10005
sk.bind((ip, port))
sk.listen(10)
while True:
new_cil, addr = sk.accept()
print(f'new addr:{addr}')
print(new_cil.recv(1024).decode())
new_cil.send(b'huixin haha')
new_cil.send(b'zai huixin hahaha')
new_cil.close()
if __name__ == '__main__':
# handle()
print_ = lambda x: print(f'\033[1;32;0m{x}\033[0m')
print_('nihaoma beijing?')
print('\033[1;32;0mnihaoma beijing?\033[0m')
print(C.blue('nihaoma beijing?'))