[pypy-dev] Can't pickle a numpy object?

[Hakan Ardo]

Hi,
I think what you need to add is a __reduce__ method. We have support
for pickling array.array. Search for reduce in
pypy/module/array/interp_array.py to get an idea of how it was
implemented. If there are deeper issues that makes pickling more
complicated for numpy arrays I dont know...

On Thu, Oct 6, 2011 at 6:55 AM, mike c <coolbutuseless at gmail.com> wrote:
> Hi there,
> I'm new to pypy and trying it out on some numerical projects and the speed
> of pypy+numpy is about 4x faster than cpython+numpy. Pretty impressive!
> However, I want to pickle some of my numpy objects and I get the
> error: TypeError: can't pickle numarray objects  (full error is included
> below)
> I realise that the numpy implementation in pypy is currently a
> proof-of-concept, and so I was wondering what I would have to change to get
> numarray's to be pickle-able.  As simple as adding a something like a
> __pickle__ method to numarray?  Or is the problem deeper than that?
> Mike.
>
>
>>>>> import pickle, numpy
>>>>> a = numpy.array([1,2,3])
>>>>> pickle.dumps(a)
> Traceback (most recent call last):
>   File "<console>", line 1, in <module>
>   File "/Users/mike/pypy-1.6/lib-python/modified-2.7/pickle.py", line 1423,
> in dumps
>     Pickler(file, protocol).dump(obj)
>   File "/Users/mike/pypy-1.6/lib-python/modified-2.7/pickle.py", line 224,
> in dump
>     self.save(obj)
>   File "/Users/mike/pypy-1.6/lib-python/modified-2.7/pickle.py", line 306,
> in save
>     rv = reduce(self.proto)
>   File "/Users/mike/pypy-1.6/lib-python/2.7/copy_reg.py", line 70, in
> _reduce_ex
>     raise TypeError, "can't pickle %s objects" % base.__name__
> TypeError: can't pickle numarray objects
>
>
>
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>



-- 
Håkan Ardö