Is it possible to convert a NumPy 1 pickle file into a generic pickle
file that works in both NumPy 1 and 2? As far as I understand, pickle
is Turing complete, so I imagine it should be theoretically possible,
but I don't know how easy it would be to actually do this or how it
would affect the pick
On Fri, 06 Oct 2023 19:17:22 -
norbertpiotraduc...@gmail.com wrote:
> Hi,
> I have an idea to change the numpy.percentile. Think numpy.percentile and
> numpy.nanpercentyl are the same features, and the only difference is that
> numpy.nanpercentyl doesn't include NaN values. Wouldn't it be e
I don’t think this will be a problem for using pickle for IPC.
For the python multiprocessing module, all processes would be running the
same numpy version, so there wouldn’t be a problem.
It could be an issue if pickle is used to communicate numpy arrays between
a subset of workers running numpy
If needed I can try to construct a minimal example for testing purposes.
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Our Numpy arrays are pickled when they are transported over Pipes between
Processors (using multiprocessing). Just to point out that there uses of
pickling not involving files. Would that affect your analysis?
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