为此设置一个for循环可能会相对昂贵，请记住，Python中的 for 循环从根本上是连续执行简单的赋值语句；您将执行 n (生成器中的项目数)分配，但此后只会丢弃分配目标.

Setting up a for loop for this could be relatively expensive, keeping in mind that a for loop in Python is fundamentally successive execution of simple assignment statements; you'll be executing n (number of items in generator) assignments, only to discard the assignment targets afterwards.

您可以改为将生成器的长度设为零.以C速度消耗，并且不像list和实现迭代器/生成器的其他可调用项那样用尽内存:

You can instead feed the generator to a zero length deque; consumes at C-speed and does not use up memory as with list and other callables that materialise iterators/generators:

from collections import deque

def exhaust(generator):
    deque(generator, maxlen=0)

_{取自consume itertools配方.}

_{Taken from the consume itertools recipe.}