I met a pickling error when dealing with multiprocessing:
from multiprocessing import Pool
def test_func(x):
return x**2
class Test:
@classmethod
The following solution now also handles class methods correctly. Please let me know if there is still something missing.
def _pickle_method(method):
"""
Pickle methods properly, including class methods.
"""
func_name = method.im_func.__name__
obj = method.im_self
cls = method.im_class
if isinstance(cls, type):
# handle classmethods differently
cls = obj
obj = None
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):
"""
Unpickle methods properly, including class methods.
"""
if obj is None:
return cls.__dict__[func_name].__get__(obj, cls)
for cls in cls.__mro__:
try:
func = cls.__dict__[func_name]
except KeyError:
pass
else:
break
return func.__get__(obj, cls)