Emanuele Olivetti wrote:
> I'm running numpy 1.0 and 1.0.1 on several hosts and
> today I've found that pickling arrays in 1.0.1 generates
> problems to 1.0. An example:
> --- numpy 1.0.1 ---
> import numpy
> import pickle
> a = numpy.array([1,2,3])
> f=open('test1.pickle','w')
> pickle.dump(a,f)
> f.close()
> ---
>
> If I unpickle test1.pickle in numpy 1.0 I got:
> --- numpy 1.0
> >>> import numpy
> >>> import pickle
> >>> f=open('test1.pickle')
> >>> a=pickle.load(f)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/hardmnt/virgo0/sra/olivetti/myapps/lib/python2.5/pickle.py", line
> 1370, in load
> return Unpickler(file).load()
> File "/hardmnt/virgo0/sra/olivetti/myapps/lib/python2.5/pickle.py", line
> 858, in load
> dispatch[key](self)
> File "/hardmnt/virgo0/sra/olivetti/myapps/lib/python2.5/pickle.py", line
> 1217, in load_build
> setstate(state)
> TypeError: argument 1 must be sequence of length 5, not 8
> -----------------
Please show which version of numpy you are using. There were no
changes to pickle from released numpy 1.0 to 1.0.1 (at least that I'm
aware of).
There might, however, be bugs.
-Travis
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