(int,float)):raiseTypeError(f'Unsupported type for b:{type(b).__name__}')returna/btry:result=divide_numbers(10,'2')exceptTypeErrorase:print(f'Error:{e}')
二、异常报错Raise使用 使用raise抛出异常 当程序出现错误,python会自动引发异常,也可以通过raise显示地引发异常。一旦执行了raise语句,raise后面的语句将不能执行。 演示raise用法 try: s = None if s is None: print "s 是空对象" raise NameError #如果引发NameError异常,后面的代码将不能执行 print len(s) ...
raise Exception('no way') NewType类型,声明一个不同的类型而又不实际执行创建新类型,在运行时,将返回一个仅返回其参数的虚拟函数: from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str:
assertFalse,"触发错误"# 类似与使用if...raise#if True:# raise AssertionError("触发错误")#输出#===Traceback(most recent call last):File"E:\play.py",line1,inassertFalse,"触发错误"AssertionError:触发错误 错误日志 我参考了这篇博客:https://www.cnblogs.com/CJOKER/p/8295272.html Logging:输出...
This way, you’ll be in a better position to track the error down and fix it. This technique is pretty handy when you’re processing a piece of code that can raise multiple types of exceptions. Consider the following divide() function: Python >>> def divide(x, y): ... for arg...
# Will raise a SpecialFileError for unsupported file types copy2(srcname, dstname) # catch the Error from the recursive copytree so that we can # continue with other files except Error, err: errors.extend(err.args[0]) except EnvironmentError, why: ...
python自定义异常,使用raise引发异常 1.自定义异常类,自定义的异常类必须是Exception或者Error的子类! 1#!/usr/bin/env python2#encoding: utf-834classIllegalException(Exception):5'''6Custom exception types7'''8def__init__(self, parameter, para_value):9err ='The parameter "{0}" is not legal:...
defmy_abs(x):ifnotisinstance(x,(int,float)):raiseTypeError('bad operand type')ifx>=0:returnxelse:return-x 添加了参数检查后,如果传入错误的参数类型,函数就可以抛出一个错误: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>>my_abs('A')Traceback(most recent call last):File"<stdin>"...
First we'll ask whether the given number is an instance of thefloatclass, and we'll raise aTypeErrorexception if it is: ifisinstance(number,float):raiseTypeError(f"Only integers are accepted:{number}") We're using Python'sraisestatement and passing in aTypeErrorexception object. We're using...
print(f"An error occurred: {e}") # 可选:决定是否重新抛出异常 # raise for result in divide_sequence([1, 2, 3], 0): print(result)5.2 提高yield代码性能与可维护性的策略 5.2.1 合理利用生成器节省内存 生成器的核心优势在于其惰性计算特性 ,只在需要时生成数据,大大减少了内存占用。为了充分利用...