I tried this implementation to add no-copy pickling for large numpy arrays
and seems to work as expected (for a simple contiguous array). I took some
notes on the numpy tracker to advertise this PEP to the numpy developers:
https://github.com/numpy/numpy/issues/11161
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Olivier
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+1 for not adding in-pickle compression as it is already very easy to
handle compression externally (for instance by passing a compressing file
object as an argument to the pickler). Furthermore, as PEP 574 makes it
possible to stream the buffer bytes directly to the file-object without any
tempora
Hi Serhiy,
Do you have any bug / issue to track the work you want to do to add native
pickling support for locally defined function and classes by serializing
the code objects like cloudpickle does?
Is this work public on some git branch on GitHub or somewhere else?
Cheers,
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Olivier
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