腌制和复制持久对象的类? [英] Class for pickle- and copy-persistent object?
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问题描述
我正在尝试为一个只读对象编写一个类,该类将不会真正使用copy
模块进行复制,并且当将其腌制在进程之间进行传输时,每个进程将维护不超过一个副本其中,无论将它作为新"对象传递多少次.已经有这样的东西了吗?
I'm trying to write a class for a read-only object which will not be really copied with the copy
module, and when it will be pickled to be transferred between processes each process will maintain no more than one copy of it, no matter how many times it will be passed around as a "new" object. Is there already something like that?
推荐答案
我尝试实现这一点. @Alex Martelli和其他任何人,请给我评论/改进.我认为这最终将在GitHub上结束.
I made an attempt to implement this. @Alex Martelli and anyone else, please give me comments/improvements. I think this will eventually end up on GitHub.
"""
todo: need to lock library to avoid thread trouble?
todo: need to raise an exception if we're getting pickled with
an old protocol?
todo: make it polite to other classes that use __new__. Therefore, should
probably work not only when there is only one item in the *args passed to new.
"""
import uuid
import weakref
library = weakref.WeakValueDictionary()
class UuidToken(object):
def __init__(self, uuid):
self.uuid = uuid
class PersistentReadOnlyObject(object):
def __new__(cls, *args, **kwargs):
if len(args)==1 and len(kwargs)==0 and isinstance(args[0], UuidToken):
received_uuid = args[0].uuid
else:
received_uuid = None
if received_uuid:
# This section is for when we are called at unpickling time
thing = library.pop(received_uuid, None)
if thing:
thing._PersistentReadOnlyObject__skip_setstate = True
return thing
else: # This object does not exist in our library yet; Let's add it
new_args = args[1:]
thing = super(PersistentReadOnlyObject, cls).__new__(cls,
*new_args,
**kwargs)
thing._PersistentReadOnlyObject__uuid = received_uuid
library[received_uuid] = thing
return thing
else:
# This section is for when we are called at normal creation time
thing = super(PersistentReadOnlyObject, cls).__new__(cls, *args,
**kwargs)
new_uuid = uuid.uuid4()
thing._PersistentReadOnlyObject__uuid = new_uuid
library[new_uuid] = thing
return thing
def __getstate__(self):
my_dict = dict(self.__dict__)
del my_dict["_PersistentReadOnlyObject__uuid"]
return my_dict
def __getnewargs__(self):
return (UuidToken(self._PersistentReadOnlyObject__uuid),)
def __setstate__(self, state):
if self.__dict__.pop("_PersistentReadOnlyObject__skip_setstate", None):
return
else:
self.__dict__.update(state)
def __deepcopy__(self, memo):
return self
def __copy__(self):
return self
# --------------------------------------------------------------
"""
From here on it's just testing stuff; will be moved to another file.
"""
def play_around(queue, thing):
import copy
queue.put((thing, copy.deepcopy(thing),))
class Booboo(PersistentReadOnlyObject):
def __init__(self):
self.number = random.random()
if __name__ == "__main__":
import multiprocessing
import random
import copy
def same(a, b):
return (a is b) and (a == b) and (id(a) == id(b)) and \
(a.number == b.number)
a = Booboo()
b = copy.copy(a)
c = copy.deepcopy(a)
assert same(a, b) and same(b, c)
my_queue = multiprocessing.Queue()
process = multiprocessing.Process(target = play_around,
args=(my_queue, a,))
process.start()
process.join()
things = my_queue.get()
for thing in things:
assert same(thing, a) and same(thing, b) and same(thing, c)
print("all cool!")
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