Diogo Flores added the comment:
Thank you Dong-hee Na and Victor.
@Stefan Krah: I am sorry that you didn't had the chace to try out the patch
before it got merged, however iff you are curious about the any aspect of the
implementation (or the motivation behind it) I am happy to discuss
Change by Diogo Flores :
--
keywords: +patch
pull_requests: +21203
stage: -> patch review
pull_request: https://github.com/python/cpython/pull/22119
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Python tracker
<https://bugs.python.org/issu
New submission from Diogo Flores :
Hi,
Here's a patch that adds an iterator to memoryview, which makes iterating over
memoryview objs considerably faster.
The following values result from a compilation with debug
Diogo Flores added the comment:
I have tried a different approach using https://gitlab.com/tenzing/shared-array
and I got it to perform well on Linux.
Basically, the code above places all numpy arrays in /dev/shm which allows you
to access and modify them from any number of processes
Diogo Flores added the comment:
Any update on this issue?
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title: (Possible) bug on multiprocessing.shared_memory -> Bug on
multiprocessing.shared_memory
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Python tracker
<https://bugs.python.org/issu
Diogo Flores added the comment:
Follow up - tested on Linux (The first solution).
The solution presented below will fix the problem with the caveat that the base
process (the one that creates the shared-memory obj) must outlive any process
that use the shared-memory.
The rationale
Diogo Flores added the comment:
Agreed, Eric. Nevertheless, I think that this example might raise unnecessary
confusion to someone new to Python, and hence the reason why I decided to open
the issue. Anyhow, I trust your judgement and please feel free to leave things
as is and close
New submission from Diogo Flores :
Hello,
A code example from the 'functional programming how-to' raises an error.
The simplest fix would be to remove the Ellipsis object from the 'line_list'.
Thank you,
Diogo
Please check below for the commands issued:
#
https://docs.python.org/3/howto
New submission from Diogo Flores :
Hello,
I came across with what seems like a bug (or at least a disagreement with the
current documentation).
Discussion:
I expected that after creating a numpy-array (on terminal 1), which is backed
by shared memory, I would be able to use it in other
