我经常在其他Stack Overflow问题上看到关于如何不鼓励使用except: pass的评论。这为什么不好呢?有时我不在乎错误是什么,我只想继续写代码。
try:
something
except:
pass
为什么使用except: pass块不好?是什么让它变得糟糕?是我传递了一个错误还是我排除了任何错误?
我经常在其他Stack Overflow问题上看到关于如何不鼓励使用except: pass的评论。这为什么不好呢?有时我不在乎错误是什么,我只想继续写代码。
try:
something
except:
pass
为什么使用except: pass块不好?是什么让它变得糟糕?是我传递了一个错误还是我排除了任何错误?
当前回答
>>> import this
The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than right now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!
所以,这是我的观点。每当你发现一个错误,你应该做一些事情来处理它,即把它写在日志文件或其他东西。至少,它告诉您曾经有一个错误。
其他回答
第一个原因已经说过了——它隐藏了你没有预料到的错误。
(#2)——它使你的代码难以被其他人阅读和理解。如果你捕捉FileNotFoundException当你试图读取一个文件,那么它是相当明显的另一个开发人员'catch'块应该有什么功能。如果您没有指定异常,那么您需要额外的注释来解释该块应该做什么。
(#3) -它演示了惰性编程。如果您使用通用的try/catch,则表明您不了解程序中可能的运行时错误,或者您不知道Python中可能存在哪些异常。捕捉特定的错误表明您了解程序和Python抛出的错误范围。这更有可能使其他开发人员和代码审查人员信任您的工作。
这里的主要问题是它忽略所有和任何错误:内存不足,CPU正在燃烧,用户想要停止,程序想要退出,Jabberwocky正在杀死用户。
这太过分了。在你的脑海中,你在想“我想忽略这个网络错误”。如果出现了意想不到的错误,那么您的代码将继续以完全不可预测的方式中断,没有人可以调试。
这就是为什么您应该限制自己只忽略一些错误,而让其余的错误过去。
except:pass构造本质上是在运行try:块中包含的代码时,使出现的任何和所有异常条件保持沉默。
这种糟糕的做法是因为它通常不是你真正想要的。更常见的情况是,出现一些特定的情况,你想要保持沉默,除了:pass是一个太生硬的工具。它将完成工作,但它也会掩盖其他错误条件,您可能没有预料到,但可能非常希望以其他方式处理。
What makes this particularly important in Python is that by the idioms of this language, exceptions are not necessarily errors. They're often used this way, of course, just as in most languages. But Python in particular has occasionally used them to implement an alternative exit path from some code tasks which isn't really part of the normal running case, but is still known to come up from time to time and may even be expected in most cases. SystemExit has already been mentioned as an old example, but the most common example nowadays may be StopIteration. Using exceptions this way caused a lot of controversy, especially when iterators and generators were first introduced to Python, but eventually the idea prevailed.
>>> import this
The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than right now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!
所以,这是我的观点。每当你发现一个错误,你应该做一些事情来处理它,即把它写在日志文件或其他东西。至少,它告诉您曾经有一个错误。
那么,这段代码产生了什么输出呢?
fruits = [ 'apple', 'pear', 'carrot', 'banana' ]
found = False
try:
for i in range(len(fruit)):
if fruits[i] == 'apple':
found = true
except:
pass
if found:
print "Found an apple"
else:
print "No apples in list"
现在,想象一下try-except块是对复杂对象层次结构的数百行调用,并且本身是在大型程序的调用树中间调用的。当程序出问题时,你从哪里开始寻找?