另一种将迭代减少到单层循环的方法是使用生成器，这也在python参考中指定

for i, j in ((i, j) for i in A for j in B):
    print(i , j)
    if (some_condition):
        break

您可以将它扩展到循环的任意级别

缺点是您不能再只打破单个级别。要么全有，要么全无。

另一个缺点是它不能与while循环一起工作。我最初想在Python上发布这个答案-“break”跳出所有循环，但不幸的是，它被关闭为这个循环的副本

使用numpy.ndindex可以简单地将多个循环转换为单个、可破坏的循环

for i in range(n):
  for j in range(n):
    val = x[i, j]
    break # still inside the outer loop!

for i, j in np.ndindex(n, n):
  val = x[i, j]
  break # you left the only loop there was!

您确实需要索引到对象中，而不是显式地遍历值，但至少在简单的情况下，它似乎比大多数答案所建议的要简单大约2-20倍。

# 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

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。

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)

另一种将迭代减少到单层循环的方法是使用生成器，这也在python参考中指定

for i, j in ((i, j) for i in A for j in B):
    print(i , j)
    if (some_condition):
        break

您可以将它扩展到循环的任意级别

缺点是您不能再只打破单个级别。要么全有，要么全无。

另一个缺点是它不能与while循环一起工作。我最初想在Python上发布这个答案-“break”跳出所有循环，但不幸的是，它被关闭为这个循环的副本