1#使用__metaclass__(元类)的高级python用法2classSingleton2(type):3def__init__(cls,name,bases,dict):4super(Singleton2,cls).__init__(name,bases,dict)5cls._instance=None6def__call__(cls,*args,**kw):7ifcls._instance is None:8cls._instance=super(Singleton2,cls).__call__(*args,**...
defcls_factory(cls_name):"""创建类工厂:param:cls_name 创建类的名称"""ifcls_name=='Foo':classFoo():passreturnFoo # 返回的是类,不是类的实例 elif cls_name=='Bar':classBar():passreturnBar IPython 测验 代码语言:javascript 代码运行次数:0 运行 AI代码解释 MyClass=cls_factory('Foo')In[60...
# -*- coding: utf-8 -*-importosimportsysfromtypingimportListfromalibabacloud_oos20190601.clientimportClientasoos20190601Clientfromalibabacloud_tea_openapiimportmodelsasopen_api_modelsfromalibabacloud_oos20190601importmodelsasoos_20190601_modelsfromalibabacloud_tea_utilimportmodelsasutil_modelsfromalibabacloud_...
$ cat main.py #!/usr/bin/env python # coding=utf-8 def main(): print "世界末⽇日!"! ! ! # 玛雅⼈人都是骗⼈人的! if __name__ == "__main__": main() 也可以写成: # -*- coding:utf-8 -*- 强制缩进 缩进是强制性的语法规则.通常建议⽤用 4 个空格代替 TAB,好在多数...
D[1]:D = (input_values, target_class)的第二个值,即类标; 然后每隔50步输出结果,并查看预测正确率,函数如下: computer_accuracy(D[1], predict(D[0])) 其中D[1]为真实的类标值,predict(D[0])是对数据预测的类标值,并计算正确率,最后输出结果。#coding:utf-8 ...
= obj.mod_list: return False return True class Startup(object): """Startup configuration information current: current startup configuration next: current next startup configuration """ def __init__(self): self.current, self.next = self.get_startup_info() self.is_need_clear_config = ...
首先,自定义异常,基于“异常基类” class Error(Exception); 其次,except捕获所有异常过于鲁莽; 最后,鼓励使用finally执行“资源清理工作“。 全局变量 避免使用,考虑下”类变量“来代替。 嵌套/局部/内部类或函数 推荐使用! 对“类中类”情况的序列化(pickled)带来问题。
classMyClass:def__new__(cls,*args,**kwargs):print("这是__new__方法")instance=super().__...
**rocket.py** #!/usr/bin/python # -*- coding: utf-8 -*- import pygame as pg class Rocket(): def __init__(self, roc_settings, canvas): """初始化火箭的设置""" # 图像在canvas上 self.canvas = canvas self.settings = roc_settings # 导入火箭,调整大小,get rect self.image = pg....
job_need = re.findall(re.compile(r'.*? | (.*?) | (.*?) | .*?',re.S),res1) welfare = re.findall(re.compile(r'(.*?)',re.S),res1) print(i[0],i[2],i[4],i[5],company[0][0],job_need[2][0],job_need[1][0],company[0][1],company[0][2],welfare,i[6])...