Multiprocessing, shared memory vs. pickled copies

Thu Apr 7 13:44:05 EDT 2011

On 4/7/11 1:40 AM, John Ladasky wrote:
> On Apr 5, 10:43 am, Philip Semanchuk<phi... at semanchuk.com> wrote:

>> And as Robert Kern pointed out, numpy arrays are also pickle-able.
>> OK, but SUBCLASSES of numpy.ndarray are not, in my hands, pickling as
> I would expect. I already have lots of code that is based on such
> subclasses, and they do everything I want EXCEPT pickle correctly. I
> may have to direct this line of questions to the numpy discussion
> group after all.

Define the __reduce_ex__() method, not __getstate__(), __setstate__().
http://docs.python.org/release/2.6.6/library/pickle.html#pickling-and-unpickling-extension-types
ndarrays are extension types, so they use that mechanism.
-- 
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
 that is made terrible by our own mad attempt to interpret it as though it had
 an underlying truth."
 -- Umberto Eco