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python - 如何创建一个正确垃圾收集的自定义生成器类

转载 作者:行者123 更新时间:2023-12-04 11:01:25 25 4
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我正在尝试在 Python 中编写一个类,它的行为类似于生成器对象,特别是当它被垃圾收集时 .close()被称为它。这很重要,因为这意味着当生成器被中断时,我可以确保它会自行清理,例如关闭文件或释放锁。

这是一些解释性代码:
如果你中断一个生成器,那么当它被垃圾回收时,Python 调用 .close()在生成器对象上,抛出 GeneratorExit生成器中的错误,可以捕获以进行清理,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似乎没有注意到它在收集对象时应该调用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

我以为继承 Generator足以让 python 相信我的 CustomGeneratorClass 是一个生成器,应该有 .close()垃圾收集时调用它。

我认为这与这样一个事实有关,即“生成器对象”是某种特殊的 Generator :
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,即 GeneratorType ?

关于python如何决定调用什么,我有什么不明白的地方 .close()在?

我如何确保 .close()在我的自定义生成器上调用?

此问题与 How to write a generator class 不重复.
对于实际制作生成器类,该问题的公认答案确实推荐了我在这里尝试的结构,这是一个生成器类,但没有正确垃圾收集,如上面的代码所示。

最佳答案

PEP342 , 状态:

[generator].__del__() is a wrapper for [generator].close(). This will be called when the generator object is garbage-collected ...



collections.abc 中的 Generator 类不实现 __del__ ,它的父类(super class)或元类也没有。

添加 __del__ 的这个实现到问题中的类导致锁被释放:
class CustomGeneratorClass(Generator):

...

def __del__(self):
self.close()

输出:

Generator Class Initialised: I grabbed a lock
Recieved 0
Recieved 1
Recieved 2
Recieved 3
Exception Thrown in Generator: I let go of the lock
Finished: Lock was free

警告:

我对 Python 中对象终结的复杂性没有经验,所以应该严格检查这个建议,并测试破坏。特别是关于 __del__ 的警告在 language reference应该被考虑到。

更高级别的解决方案是在上下文管理器中运行生成器
with contextlib.closing(CustomGeneratorClass(100, lock)):
# do stuff

但这很麻烦,并且依赖于代码的用户记得这样做。

关于python - 如何创建一个正确垃圾收集的自定义生成器类,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58775283/

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