Python: Efficient workaround for multiprocessing a function that is a data member of a class, from within that class

Question

I\'m aware of various discussions of limitations of the multiprocessing module when dealing with functions that are data members of a class (due to Pickling problems).

Answer 1

There is a better elegant solution i believe. Add the following line to a code that does multiprocessing with the class and you can still pass the method through the pool. the codes should go above the class

import copy_reg
    import types

    def _reduce_method(meth):
        return (getattr,(meth.__self__,meth.__func__.__name__))
    copy_reg.pickle(types.MethodType,_reduce_method)

for more understanding of how to pickle a method please see below http://docs.python.org/2/library/copy_reg.html