On Sun, 10 Oct 2021 11:19:44 -0300
Facundo Batista <facundobati...@gmail.com> wrote:
> Hello everyone!
>
> I need to pack a long list of numbers into shared memory, so I thought
> about using `struct.pack_into`.
>
> Its signature is
>
> struct.pack_into(format, buffer, offset, v1, v2, ...)
>
> I have a long list of nums (several millions), ended up doing the following:
>
> struct.pack_into(f'{len(nums)}Q', buf, 0, *nums)
>
> However, passing all nums as `*args` is very inefficient [0]. So I
> started wondering why we don't have something like:
>
> struct.pack_into(format, buffer, offset, values=values)
>
> which would receive the list of values directly.
Just use `numpy.frombuffer` with your shared memory buffer and write
into the Numpy array?
https://numpy.org/doc/stable/reference/generated/numpy.frombuffer.html
When you're looking to efficiently handle large volumes of primitive
values such as integers, chances are Numpy already has the solution for
you.
Regards
Antoine.
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