#模板文件 fromflaskimportFlask,render_template,request @app.route('/login',methods=['GET','POST'])deflogin():ifrequest.method =='POST': username= request.form['username'] password= request.form['password']printusername,passwordreturn“success”else:returnrender_template(“login.html”) 6.4.2...
opener.open(req)defvisit_profile(opener):#2. 访问个人主页dapeng_url ="http://www.renren.com/880151247/profile"#获取个人主页的页面的时候,不要新建一个opener#而应该使用之前的那个opener,因为之前的那个opener已经包含了#登录所需要的cookie信息req = request.Request(dapeng_url,headers=headers) resp=opener...
eval_text_column_name, "text") else: # load multiple eval sets for dataset_dict in dataset_names_dict: @@ -867,9 +866,8 @@ def main(): token=model_args.token, streaming=data_args.streaming, ) features = raw_datasets[pretty_name].features.keys() # make column names consistent (...
) # Whether to print the response textclass Config: @@ -37,7 +36,7 @@ class Config: def _chain_type(self) -> str: raise NotImplementedError("Saving not supported for this chain type.")@validator("callback_manager", pre=True, always=True) ...
import re def extract_urls(page): urls = [] for match in re.finditer("(?P<url>https?://[^\s]+)", page): urls.append(match.group("url")) return urls 该函数接受一个页面,并返回一个 URL 列表。 要在整个 PDF 文件中查找 URL,请遍历所有页面,并将其传递给 extract_urls 函数: for ...
"""#从字符串中读取defparse_text(): htmlElement=etree.HTML(text)print(etree.tostring(htmlElement,encoding='utf-8').decode("utf-8"))#从文件中读取html代码defparse_tencent_file(): htmlElement= etree.parse("tencent.html")print(etree.tostring(htmlElement, encoding='utf-8').decode('utf-8')...
('Failed to verify'+ filename +'. Can you get to it with a browser?')returnfilename#filename = maybe_download('text8.zip',31344016)filename='text8.zip'#Read the data into a list of strings.defread_data(filename):"""Extract the first file enclosed in a zip file as a list of ...