using System; namespace HoverCraftFactory { class Program { public static void HoverCraftFactory() { int cost = 21000000; int HoverCost = 3000000; int sales = Convert.ToInt32(Console.ReadLine()); int income = s
import Microsoft.Quantum.Diagnostics.*; operation Main() : Unit { use qs = Qubit[2]; X(qs[0]); if CheckZero(qs[0]) { Message("X operation failed"); } else { Message("X operation succeeded"); } ResetAll(qs); if CheckAllZero(qs) { Message("Reset operation succeeded"); } else...
test_data['Title']=list(map(lambda x:"rare" if x not in ['Mr','Miss', 'Mrs', 'Master'] else x, test_data['Title'].tolist())) #去掉年龄属性 #train_data.drop= train_data[train_data['Age'].notnull()] train_data.drop(['Age'], axis=1, inplace=True) test_data.drop([...
entry2.delete(0,'end') input_data=entry1.get()ifnotinput_data.isalpha(): input_data=input_data.lower() data={"f":"auto","t":"auto","w": input_data } response= requests.post(start_url, data=data) result=response.json() output= result['content']['out']else: data={"f":"aut...
aside from that, idk what else to say.. oecd supports only lousy statistical languages to analyze their marvelous data; now you can use a powerful programming language to analyze the same rich data set. i suppose if you’re bored, you could take the piaac test yourself.confide...
pip install requests# 通过 python manage.py shell 进入命令行 在命令行中测试fromfdfs_client.clientimportFdfs_client client = Fdfs_client('utils/fastdfs/client.conf') ret = client.upload_by_filename("media/son.jpg") # FastDFS# django settings里面的配置 地址FDFS_URL ='http://"你的公网":88...
using System; namespace HoverCraftFactory { class Program { public static void HoverCraftFactory() { int cost = 21000000; int HoverCost = 3000000; int sales = Convert.ToInt32(Console.ReadLine()); int income = sales * HoverCost; if(income>cost) { Console.WriteLine("Profit"); } else if ...
# 必须要指定模板,用户覆盖默认的search/search.htmltemplate='news/search.html'defcreate_response(self):#接收前台用户输入的查询值#kw='python'query = self.request.GET.get('q','')ifnotquery: show=True host_news= models.HotNews.objects.select_related('news').only('news_id','news__title','...
<!--if-->{% if name == "python" %} 这个是python的页面 {% elif name == "Java" %} 这个是Java的页面 {% else %} 这个是{{name}}的页面 {% endif %}<!--for-->{% for title in titles %}{{title}}{% endfor %}<!--url:一般配合视图的名称来--><!--urlpatterns = [ path('...
ifuser: setattr(request, "myuser", user.username) else: setattr(request, "myuser", "未登录") response =self.get_response(request) # response到达用户浏览器之前执行的代码 return response 建议:使用第一种方式编写自定义中间件,代码的执行流程比较清晰。