try语句的可选else子句的预期用途是什么?


当前回答

一种用法:测试一些应该引发异常的代码。

try:
    this_should_raise_TypeError()
except TypeError:
    pass
except:
    assert False, "Raised the wrong exception type"
else:
    assert False, "Didn't raise any exception"

(在实践中,这段代码应该被抽象为更通用的测试。)

其他回答

使用else样式和可读性是一个重要原因。将可能导致异常的代码放在处理异常的代码附近通常是个好主意。例如,比较这些:

try:
    from EasyDialogs import AskPassword
    # 20 other lines
    getpass = AskPassword
except ImportError:
    getpass = default_getpass

and

try:
    from EasyDialogs import AskPassword
except ImportError:
    getpass = default_getpass
else:
    # 20 other lines
    getpass = AskPassword

当异常不能提前返回或重新抛出异常时,第二个方法很好。如果可能的话,我会这样写:

try:
    from EasyDialogs import AskPassword
except ImportError:
    getpass = default_getpass
    return False  # or throw Exception('something more descriptive')

# 20 other lines
getpass = AskPassword

注意:答案从最近发布的副本复制在这里,因此所有这些“AskPassword”的东西。

我能想到的一种使用场景是不可预测的异常,如果您再次尝试,可以避免这种异常。例如,当try块中的操作涉及随机数时:

while True:
    try:
        r = random.random()
        some_operation_that_fails_for_specific_r(r)
    except Exception:
        continue
    else:
        break

但是如果可以预测异常,则应该始终在异常之前选择验证。然而,并不是所有的事情都可以预测,所以这种代码模式有它的一席之地。

也许它的用法是:

#debug = []

def debuglog(text, obj=None):
    " Simple little logger. "
    try:
        debug   # does global exist?
    except NameError:
        pass    # if not, don't even bother displaying
    except:
        print('Unknown cause. Debug debuglog().')
    else:
        # debug does exist.
        # Now test if you want to log this debug message
        # from caller "obj"
        try:
            if obj in debug:
                print(text)     # stdout
        except TypeError:
            print('The global "debug" flag should be an iterable.')
        except:
            print('Unknown cause. Debug debuglog().')

def myfunc():
    debuglog('Made it to myfunc()', myfunc)

debug = [myfunc,]
myfunc()

也许这对你也有帮助。

Python try-else try语句的可选else子句的预期用途是什么?

其预期用途是,如果没有预期要处理的异常,则为运行更多代码提供上下文。

这个上下文避免意外处理您没有预料到的错误。

但是理解导致else子句运行的确切条件非常重要,因为return、continue和break可以中断到else的控制流。

总之

如果没有异常,并且没有被return、continue或break语句中断,else语句将运行。

其他答案忽略了最后一部分。

从文档中可以看出:

类型的控件流出时,执行可选的else子句 try子句结束

(粗体)。脚注写道:

*目前,控制“从末端流出”,除非在 异常或return、continue或break语句的执行。

它至少需要一个except子句(参见语法)。所以它实际上不是“try-else”,而是“try-except-else(-finally)”,其中else(和finally)是可选的。

Python教程详细说明了预期的用法:

The try ... except statement has an optional else clause, which, when present, must follow all except clauses. It is useful for code that must be executed if the try clause does not raise an exception. For example: for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print 'cannot open', arg else: print arg, 'has', len(f.readlines()), 'lines' f.close() The use of the else clause is better than adding additional code to the try clause because it avoids accidentally catching an exception that wasn’t raised by the code being protected by the try ... except statement.

示例区分else和try块后面的代码

如果处理错误,else块将不会运行。例如:

def handle_error():
    try:
        raise RuntimeError('oops!')
    except RuntimeError as error:
        print('handled a RuntimeError, no big deal.')
    else:
        print('if this prints, we had no error!') # won't print!
    print('And now we have left the try block!')  # will print!

现在,

>>> handle_error()
handled a RuntimeError, no big deal.
And now we have left the try block!

我发现它非常有用,当你有清理工作要做,即使有例外:

try:
    data = something_that_can_go_wrong()
except Exception as e: # yes, I know that's a bad way to do it...
    handle_exception(e)
else:
    do_stuff(data)
finally:
    clean_up()