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)

将循环逻辑分解为迭代器，迭代器产生循环变量并在完成时返回——这里有一个简单的迭代器，它将图像按行/列排列，直到我们用完图像或找不到放置它们的位置:

def it(rows, cols, images):
    i = 0
    for r in xrange(rows):
        for c in xrange(cols):
            if i >= len(images):
                return
            yield r, c, images[i]
            i += 1 

for r, c, image in it(rows=4, cols=4, images=['a.jpg', 'b.jpg', 'c.jpg']):
    ... do something with r, c, image ...

这样做的优点是将复杂的循环逻辑和处理分开。

如果两个条件为真，则继续循环。

我认为这是一种更python化的方式:

dejaVu = True

while dejaVu:
    while True:
        ok = raw_input("Is this ok? (y/n)")
        if ok == "y" or ok == "Y" or ok == "n" or ok == "N":
            dejaVu = False
            break

在Python中有一个隐藏的技巧…Else结构，可以用来模拟双中断，而不需要太多的代码更改/添加。本质上，如果while条件为false，则触发else块。任何异常、continue或break都不会触发else块。有关更多信息，请参阅对“Python while语句上的Else子句”或Python while上的doc (v2.7)的回答。

while True:
    #snip: print out current state
    ok = ""
    while ok != "y" and ok != "n":
        ok = get_input("Is this ok? (y/n)")
        if ok == "n" or ok == "N":
            break    # Breaks out of inner loop, skipping else

    else:
        break        # Breaks out of outer loop

    #do more processing with menus and stuff

唯一的缺点是需要将双中断条件移到while条件中(或添加一个标志变量)。对于for循环也存在这种变化，其中else块在循环完成后被触发。

我想提醒你，Python中的函数可以在代码中间创建，并且可以透明地访问周围的变量以进行读取，也可以通过非局部或全局声明进行写入。

所以你可以使用一个函数作为“易碎的控制结构”，定义一个你想要返回的地方:

def is_prime(number):

    foo = bar = number

    def return_here():
        nonlocal foo, bar
        init_bar = bar
        while foo > 0:
            bar = init_bar
            while bar >= foo:
                if foo*bar == number:
                    return
                bar -= 1
            foo -= 1

    return_here()

    if foo == 1:
        print(number, 'is prime')
    else:
        print(number, '=', bar, '*', foo)

>>> is_prime(67)
67 is prime
>>> is_prime(117)
117 = 13 * 9
>>> is_prime(16)
16 = 4 * 4

引入一个新变量作为“循环打破器”。首先给它赋值(False,0等)，然后，在外层循环中，在终止它之前，将值更改为其他值(True,1，…)。一旦循环退出，让“父”循环检查该值。让我来演示一下:

breaker = False #our mighty loop exiter!
while True:
    while True:
        if conditionMet:
            #insert code here...
            breaker = True 
            break
    if breaker: # the interesting part!
        break   # <--- !

如果你有一个无限循环，这是唯一的出路;对于其他循环，执行速度要快得多。如果你有很多嵌套循环，这也适用。你可以退出全部，也可以只退出一部分。无尽的可能性!希望这对你有所帮助!