./wip/py-processing, Library for running multiple Python processes using the threading API

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Branch: CURRENT, Version: 0.52nb2, Package name: py310-processing-0.52nb2, Maintainer: kamel.derouiche

Processing is a Python package which supports the spawning of processes
using the API of the standard library's threading module. Features include:

* Objects can be transferred between processes using pipes or
multi-producer/multi-consumer queues.
* Objects can be shared between processes using a server process or
(for simple data) shared memory.
* Equivalents of all the synchronization primitives in threading
are available.
* A Pool class makes it easy to submit tasks to a pool of worker
processes.


Required to run:
[lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: c04aa3ce3bf5534fa9d98dbfbec8c0ee0cf3fbd7
Filesize: 173.841 KB

Version history: (Expand)

CVS history: (Expand)


   2012-10-07 15:57:25 by Aleksej Saushev | Files touched by this commit (211) 
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-04-08 21:09:41 by Thomas Klausner | Files touched by this commit (127) 
Log message:
Remove python24 and all traces of it from pkgsrc.
Remove devel/py-ctypes (only needed by and supporting python24).
Remove PYTHON_VERSIONS_ACCEPTED and PYTHON_VERSIONS_INCOMPATIBLE
lines that just mirror defaults now.
Miscellaneous cleanup while editing all these files.
   2012-02-01 01:04:52 by ndb | Files touched by this commit (22) 
Log message:
py-ctypes is included in Python 2.5 and higher.
   2012-01-30 04:04:41 by ndb | Files touched by this commit (1) 
Log message:
changed dependency.
   2010-01-03 23:19:21 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py25-processing-0.52 as wip/py-processing.

Processing is a Python package which supports the spawning of processes
using the API of the standard library's threading module. Features include:

 * Objects can  be transferred  between  processes using pipes or
   multi-producer/multi-consumer queues.
 * Objects can be shared between processes using a server process or
   (for simple data) shared memory.
 * Equivalents  of all the synchronization primitives in threading
   are available.
 * A Pool class makes it easy to submit tasks to a pool of worker
   processes.