使用copy_reg处理类方法的酸洗问题 [英] Handling the classmethod pickling issue with copy_reg

问题描述

在进行多处理时遇到腌制错误:

I met a pickling error when dealing with multiprocessing:

 from multiprocessing import Pool

 def test_func(x):
     return x**2

 class Test:
     @classmethod
     def func(cls, x):
         return x**2

 def mp_run(n, func, args):
     return Pool(n).map(func, args)

 if __name__ == '__main__':
     args = range(1,6)

     print mp_run(5, test_func, args)
     # [1, 4, 9, 16, 25]

     print mp_run(5, Test.func, args)
     """
     Exception in thread Thread-3:
     Traceback (most recent call last):
       File "/usr/lib64/python2.6/threading.py", line 532, in __bootstrap_inner
         self.run()
       File "/usr/lib64/python2.6/threading.py", line 484, in run
         self.__target(*self.__args, **self.__kwargs)
       File "/usr/lib64/python2.6/multiprocessing/pool.py", line 225, in _handle_tasks
         put(task)
     PicklingError: Can't pickle <type 'instancemethod'>: attribute lookup __builtin__.instancemethod failed
     """

我在此处，该解决方案非常适合这些自我"风格的实例方法，但在将配方应用于@classmethod时遇到问题:

And I found an useful thread here, the solution is perfect for these 'self'-style instancemethod, but I got problem applying the recipe to @classmethod:

 def _pickle_method(method):
     func_name = method.im_func.__name__
     obj = method.im_self
     cls = method.im_class
     return _unpickle_method, (func_name, obj, cls)

 def _unpickle_method(func_name, obj, cls):
     try:
         for cls in cls.mro():
             try:
                 func = cls.__dict__[func_name]
             except KeyError:
                 pass
             else:
                 break
     except AttributeError:
         func = cls.__dict__[func_name]
     return func.__get__(obj, cls)

 copy_reg.pickle(MethodType, _pickle_method, _unpickle_method)
 new_func = pickle.loads(pickle.dumps(Test.func))
 """
 Traceback (most recent call last):
 File "test3.py", line 45, in <module>
   new_func = pickle.loads(pickle.dumps(Test.func))
 File "/usr/lib64/python2.6/pickle.py", line 1366, in dumps
   Pickler(file, protocol).dump(obj)
 File "/usr/lib64/python2.6/pickle.py", line 224, in dump
   self.save(obj)
 File "/usr/lib64/python2.6/pickle.py", line 331, in save
   self.save_reduce(obj=obj, *rv)
 File "/usr/lib64/python2.6/pickle.py", line 401, in save_reduce
   save(args)
 File "/usr/lib64/python2.6/pickle.py", line 286, in save
   f(self, obj) # Call unbound method with explicit self
 File "/usr/lib64/python2.6/pickle.py", line 562, in save_tuple
   save(element)
 File "/usr/lib64/python2.6/pickle.py", line 286, in save
   f(self, obj) # Call unbound method with explicit self
 File "/usr/lib64/python2.6/pickle.py", line 748, in save_global
   (obj, module, name)) 
pickle.PicklingError: Can't pickle <type 'classobj'>: it's not found as __builtin__.classobj
"""

有什么方法可以改变几行使其适用于类方法?

Any ways to alter a few lines to get it work for classmethod?

推荐答案

我修改了配方，使其可以与classmethod一起使用. 这是代码.

I modified the recipe to make it work with classmethod. Here's the code.

import copy_reg
import types

def _pickle_method(method):
    func_name = method.im_func.__name__
    obj = method.im_self
    cls = method.im_class
    if func_name.startswith('__') and not func_name.endswith('__'):
        #deal with mangled names
        cls_name = cls.__name__.lstrip('_')
        func_name = '_%s%s' % (cls_name, func_name)
    return _unpickle_method, (func_name, obj, cls)

def _unpickle_method(func_name, obj, cls):
    if obj and func_name in obj.__dict__:
        cls, obj = obj, None # if func_name is classmethod
    for cls in cls.__mro__:
        try:
            func = cls.__dict__[func_name]
        except KeyError:
            pass
        else:
            break
    return func.__get__(obj, cls)

copy_reg.pickle(types.MethodType, _pickle_method, _unpickle_method)

这篇关于使用copy_reg处理类方法的酸洗问题的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！