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jblitzar
/
github-python-corpus

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# TODO
# 有点儿问题, 翻译的结果为多行的时候解决比较麻烦
def googleTranslate(text: str, zhcn2en: bool = True) -> str:
"""
将中文翻译成英文
:param text: 中文/英文
:param zhcn2en : 是否为中文转英文, 默认为是
:return: 英文/中文
"""
global proxies
global verify
text = text.replace('\n', r'\\n').replace('"', r'\\\"')
url = 'https://translate.google.cn/_/TranslateWebserverUi/data/batchexecute'
if zhcn2en:
data = '[[["MkEWBc","[[\\"{}\\",\\"zh-CN\\",\\"en\\",true],[null]]",null,"generic"]]]'.format(text)
else:
data = '[[["MkEWBc","[[\\"{}\\",\\"en\\",\\"zh-CN\\",true],[null]]",null,"generic"]]]'.format(text)
data = quote(data)
data = 'f.req=' + data + '&'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.81 Safari/537.36',
'Content-Type': 'application/x-www-form-urlencoded;charset=UTF-8',
'Accept-Language': 'zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7'}
res = requests.post(url=url, data=data, headers=headers, verify=verify, proxies=proxies)
if res.status_code != 200:
return ''
lIndex = res.text.find('l,[[\\"')
rIndex = res.text.find('\\"', lIndex + len('l,[[\\"'))
if lIndex != -1 and rIndex != -1:
text = res.text[lIndex + len('l,[[\\"'):rIndex]
text = text.replace(r'\\n', '\n').replace(r'\\\"', '"')
return text
return ''
def getTips(text: str) -> str:
"""
获取指定文本的生成文本信息
:param text: 线索文本
:return: 生成的文本
"""
global proxies
global verify
# 中文 -> 英文
text = baiduTranslate(text)
if text == '':
return ''
# 获取生成文本结果
url = 'https://api.deepai.org/api/text-generator'
data = {'text': text}
headers = {'api-key': APIKEY}
res = requests.post(url, files=data, headers=headers, verify=verify, proxies=proxies)
if res.status_code != 200:
return ''
res = json.loads(res.text)
if 'output' not in res:
return ''
text = res['output']
# 英文 -> 中文
text = baiduTranslate(text, zhcn2en=False).replace('\n\n', '\n')
return text
def setProxies(switch: bool=False) -> None:
"""
是否采用代理
:param switch: 是
:return: None
"""
global proxies
global verify
if switch:
proxies = {'https': '127.0.0.1:8887',
'http': '127.0.0.1:8887'}
verify = False
else:
proxies = None
verify = True
# <FILESEP>
from torchvision import datasets, transforms
_MNIST_TRAIN_TRANSFORMS = _MNIST_TEST_TRANSFORMS = [
transforms.ToTensor(),
transforms.ToPILImage(),
transforms.Pad(2),
transforms.ToTensor(),
]
_CIFAR_TRAIN_TRANSFORMS = [
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
]
_CIFAR_TEST_TRANSFORMS = [
transforms.ToTensor(),
]