我需要在Python程序中模拟一个do-while循环。不幸的是,下面的简单代码不能工作:

list_of_ints = [ 1, 2, 3 ]
iterator = list_of_ints.__iter__()
element = None

while True:
  if element:
    print element

  try:
    element = iterator.next()
  except StopIteration:
    break

print "done"

不是"1,2,3,done",而是输出如下:

[stdout:]1
[stdout:]2
[stdout:]3
None['Traceback (most recent call last):
', '  File "test_python.py", line 8, in <module>
    s = i.next()
', 'StopIteration
']

为了捕获“停止迭代”异常并中断一段时间,我能做些什么 循环正常吗?

下面的伪代码显示了为什么需要这样一个东西的示例。

状态机:

s = ""
while True :
  if state is STATE_CODE :
    if "//" in s :
      tokens.add( TOKEN_COMMENT, s.split( "//" )[1] )
      state = STATE_COMMENT
    else :
      tokens.add( TOKEN_CODE, s )
  if state is STATE_COMMENT :
    if "//" in s :
      tokens.append( TOKEN_COMMENT, s.split( "//" )[1] )
    else
      state = STATE_CODE
      # Re-evaluate same line
      continue
  try :
    s = i.next()
  except StopIteration :
    break

当前回答

你为什么不做呢

for s in l :
    print s
print "done"

?

其他回答

while True:
    try:
        # stuff
        stuff_1()
        if some_cond:
            continue
        if other_cond:
            break
        stuff_2()
    finally:
        # condition
        if not condition:
            break

[x]条件只检查后运行的东西 [x]不是函数调用 [x]条件不是函数调用 [x]的东西可以包含流量控制 []避免检查条件,如果东西叫break(可以用另一个布尔值)

你为什么不做呢

for s in l :
    print s
print "done"

?

快速攻击:

def dowhile(func = None, condition = None):
    if not func or not condition:
        return
    else:
        func()
        while condition():
            func()

像这样使用:

>>> x = 10
>>> def f():
...     global x
...     x = x - 1
>>> def c():
        global x
        return x > 0
>>> dowhile(f, c)
>>> print x
0

Python 3.8给出了答案。

它叫做赋值表达式。从文档中可以看到:

# Loop over fixed length blocks
while (block := f.read(256)) != '':
    process(block)

这里有一个不同模式的更疯狂的解决方案——使用协程。代码仍然非常相似,但有一个重要的区别;根本就没有退出条件!当您停止向协程提供数据时,协程(实际上是协程链)就会停止。

def coroutine(func):
    """Coroutine decorator

    Coroutines must be started, advanced to their first "yield" point,
    and this decorator does this automatically.
    """
    def startcr(*ar, **kw):
        cr = func(*ar, **kw)
        cr.next()
        return cr
    return startcr

@coroutine
def collector(storage):
    """Act as "sink" and collect all sent in @storage"""
    while True:
        storage.append((yield))

@coroutine      
def state_machine(sink):
    """ .send() new parts to be tokenized by the state machine,
    tokens are passed on to @sink
    """ 
    s = ""
    state = STATE_CODE
    while True: 
        if state is STATE_CODE :
            if "//" in s :
                sink.send((TOKEN_COMMENT, s.split( "//" )[1] ))
                state = STATE_COMMENT
            else :
                sink.send(( TOKEN_CODE, s ))
        if state is STATE_COMMENT :
            if "//" in s :
                sink.send(( TOKEN_COMMENT, s.split( "//" )[1] ))
            else
                state = STATE_CODE
                # re-evaluate same line
                continue
        s = (yield)

tokens = []
sm = state_machine(collector(tokens))
for piece in i:
    sm.send(piece)

上面的代码将所有令牌收集为令牌中的元组,我假设原始代码中的.append()和.add()之间没有区别。