尝试使用无限发电机。

from itertools import repeat
inputs = (get_input("Is this ok? (y/n)") for _ in repeat(None))
response = (i.lower()=="y" for i in inputs if i.lower() in ("y", "n"))

while True:
    #snip: print out current state
    if next(response):
        break
    #do more processing with menus and stuff

如果您只需要在复杂的for循环巢中测试边缘情况，则可以抛出1/0来引发异常。我保证不会告诉任何人。当您希望快速测试深度嵌套的for循环的单个迭代，并且不想跟踪大量break语句或注释掉大量代码时，这种方法非常方便。

是的，您可以将它包装在函数中并使用return，但在某些上下文中，这可能会非常麻烦。

入门级程序员的例子:

for i in first_iter:
    for j in second_iter:
        for k in third_iter:
            print(i_want_to_run_this_once_and_stop_executing(i,j,k))
            1/0
        code_that_takes_a_long_time()
    expensive_code()

在执行大量数据预处理的大型jupyter笔记本脚本中，这尤其方便。

尽量减少对OP的问题的改变，我只是在打破第一个for循环之前添加了一个标志，并检查外部循环上的标志，看看我们是否需要再次刹车。

break_2 = False
while True:
    # Snip: print out current state
    if break_2: break
    while True:
        ok = get_input("Is this ok? (y/n)")
        if ok.lower() == "y": break_2 = True
        if break_2: break
        if ok.lower() == "n": break
    # Do more processing with menus and stuff

首先，普通的逻辑是有用的。

如果由于某种原因，终止条件无法确定，例外是一个后备计划。

class GetOutOfLoop( Exception ):
    pass

try:
    done= False
    while not done:
        isok= False
        while not (done or isok):
            ok = get_input("Is this ok? (y/n)")
            if ok in ("y", "Y") or ok in ("n", "N") : 
                done= True # probably better
                raise GetOutOfLoop
        # other stuff
except GetOutOfLoop:
    pass

对于这个特定的示例，可能不需要异常。

另一方面，在字符模式应用程序中，我们经常有“Y”、“N”和“Q”选项。对于"Q"选项，我们要立即退出。这是比较特殊的。

# this version uses a level counter to choose how far to break out

break_levels = 0
while True:
    # snip: print out current state
    while True:
        ok = get_input("Is this ok? (y/n)")
        if ok == "y" or ok == "Y":
            break_levels = 1        # how far nested, excluding this break
            break
        if ok == "n" or ok == "N":
            break                   # normal break
    if break_levels:
        break_levels -= 1
        break                       # pop another level
if break_levels:
    break_levels -= 1
    break

# ...and so on

以下是一个非常简短的版本: 创建名为break_out_nested.py的文件

import itertools
import sys

it = sys.modules[__name__] # this allows us to share variables with break_out_nested.py when we import it 


def bol(*args):
    condi = args[-1] # the condition function
    i = args[:-1] # all iterables 
    for p in itertools.product(*i): # itertools.product creates the nested loop
        if condi(): # if the condition is True, we return 
            return
        yield p # if not, we yield the result 

现在你只需要几行就可以打破嵌套的循环(数据来自Rafiq的例子)

from break_out_nested import it, bol # import what we have just created

# you need to create new variables as attributes of it,
# because break_out_nested has only access to these variables
it.i, it.j, it.k = 1, 1, 1
# the break condition
def cond(): return it.i % 3 == 0 and it.j % 3 == 0 and it.k % 3 == 0

# The condition will be checked in each loop 
for it.i, it.j, it.k in bol(range(1, 6, 1), range(1, 11, 2, ), range(1, 21, 4), cond):
    print(it.i, it.j, it.k)

更多的例子:

def cond(): return it.i + it.j + it.k == 777

it.i, it.j, it.k = 0, 0, 0
for it.i, it.j, it.k in bol(range(100), range(1000), range(10000), cond):
    print(it.i, it.j, it.k)




def cond(): return it.i + it.j + it.k >= 100000

it.i, it.j, it.k = 0, 0, 0
# you dont have to use it.i, it.j, it.k as the loop variables, you can
# use anything you want, but you have to update the variables somewhere
for i, j, k in bol(range(100), range(1000), range(10000), cond):
    it.i, it.j, it.k = i * 10, j * 100, k * 100
    print(it.i, it.j, it.k)