Multiprocessing, shared memory vs. pickled copies
robert.kern at gmail.com
Thu Apr 7 19:44:05 CEST 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__().
ndarrays are extension types, so they use that mechanism.
"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
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