【发布时间】:2020-03-05 14:25:51
【问题描述】:
我正在尝试在 Python 中编写一个充当生成器对象的类,特别是当它被垃圾收集时 .close() 被调用。这很重要,因为这意味着当生成器中断时,我可以确保它会自行清理,例如关闭文件或释放锁。
这里有一些解释性代码:
如果你中断了一个生成器,那么当它被垃圾回收时,Python 会在生成器对象上调用.close(),这会向生成器抛出一个GeneratorExit 错误,可以捕获该错误以进行清理,如下所示:
from threading import Lock
lock = Lock()
def CustomGenerator(n, lock):
lock.acquire()
print("Generator Started: I grabbed a lock")
try:
for i in range(n):
yield i
except GeneratorExit:
lock.release()
print("Generator exited early: I let go of the lock")
raise
print("Generator finished successfully: I let go of the lock")
for i in CustomGenerator(100, lock):
print("Received ", i)
time.sleep(0.02)
if i==3:
break
if not lock.acquire(blocking=False):
print("Oops: Finished, but lock wasn't released")
else:
print("Finished: Lock was free")
lock.release()
Generator Started: I grabbed a lock
Received 0
Received 1
Received 2
Received 3
Generator exited early: I let go of the lock
Finished: Lock was free
但是,如果您尝试通过从 collections.abc.Generator 继承来实现自己的生成器对象,Python 似乎没有注意到它应该在收集对象时调用 close:
from collections.abc import Generator
class CustomGeneratorClass(Generator):
def __init__(self, n, lock):
super().__init__()
self.lock = lock
self.lock.acquire()
print("Generator Class Initialised: I grabbed a lock")
self.n = n
self.c = 0
def send(self, arg):
value = self.c
if value >= self.n:
raise StopIteration
self.c += 1
return value
def throw(self, type, value=None, traceback=None):
print("Exception Thrown in Generator: I let go of the lock")
self.lock.release()
raise StopIteration
for i in CustomGeneratorClass(100, lock):
print("Received ", i)
time.sleep(0.02)
if i==3:
break
if not lock.acquire(blocking=False):
print("Oops: Finished, but lock wasn't released")
else:
print("Finished: Lock was free")
lock.release()
Generator Class Initialised: I grabbed a lock
Received 0
Received 1
Received 2
Received 3
Oops: Finished, but lock wasn't released
我认为继承 Generator 足以让 python 相信我的 CustomGeneratorClass 是一个生成器,并且应该在垃圾收集时调用 .close()。
我认为这与“生成器对象”是某种特殊的 Generator 的事实有关:
from types import GeneratorType
c_gen = CustomGenerator(100)
c_gen_class = CustomGeneratorClass(100)
print("CustomGenerator is a Generator:", isinstance(c_gen, Generator))
print("CustomGenerator is a GeneratorType:",isinstance(c_gen, GeneratorType))
print("CustomGeneratorClass is a Generator:",isinstance(c_gen_class, Generator))
print("CustomGeneratorClass is a GeneratorType:",isinstance(c_gen_class, GeneratorType))
CustomGenerator is a Generator: True
CustomGenerator is a GeneratorType: True
CustomGeneratorClass is a Generator: True
CustomGeneratorClass is a GeneratorType: False
我可以创建一个用户定义的类对象GeneratorType吗?
关于 python 如何决定调用.close() 有什么我不明白的地方吗?
如何确保在我的自定义生成器上调用 .close()?
此问题与How to write a generator class 不重复。 对于实际创建一个生成器类,该问题的公认答案确实推荐了我在这里尝试的结构,它是一个生成器类,但没有正确地进行垃圾收集,如上面的代码所示。
【问题讨论】:
-
嗨@MattMcEwen。你看here了吗?我还没有详细阅读您的问题,但我看到您缺少
__next__来创建生成器。看看链接。 -
从
Generator继承给你一个__next__(),它只调用send(None)。你可以在上面看到这个工作;当自定义生成器类在中断之前被迭代时,它就像任何其他迭代器一样工作,并按顺序返回 0,1,2,3 -
@Raphael
__next__并没有把东西变成发电机,真的。它创建了一个迭代器,无论如何,OP 正在使用已经提供__next__的抽象基类 -
没错,我的“答案”过于简单化了。无论如何,目的是将那个人发送到链接:-)。我什至没有看到他
import Generator。希望您找到解决方案@MattMcEwen。祝你好运。
标签: python generator python-internals