下面的代码可能是一个有用的实现，突出了do-while和while之间的主要区别。

在这种情况下，你总是至少要循环一次。

first_pass = True
while first_pass or condition:
    first_pass = False
    do_stuff()

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。

while condition is True: 
  stuff()
else:
  stuff()

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)

内置的iter函数具体做到了这一点:

for x in iter(YOUR_FN, TERM_VAL):
    ...

例如(在Py2和3中测试过):

class Easy:
  X = 0
  @classmethod
  def com(cls):
    cls.X += 1
    return cls.X

for x in iter(Easy.com, 10):
  print(">>>", x)

如果你想给出一个终止条件而不是一个值，你总是可以设置一个等式，并要求这个等式为True。