./wip/py-papy, Parallel Pipelines In Python

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Branch: CURRENT, Version: 1.0b1nb2, Package name: py27-papy-1.0b1nb2, Maintainer: jihbed.research

PaPy is a framework to construct and execute pipelines (flow-charts) of
arbitrary tasks in parallel, either locally, using multi-processing or
multi-threading, or remotely, using RPC (Remote Procedure Calls) as provided by
RPyC (Remote Python Call). The goal is to enable users to create highly generic,
modular and workflows for execution on ad hoc computing grids, consisting of,
local workstations and remote desktops/servers.


Required to run:
[x11/py-Pmw] [x11/py-Tk] [lang/python27]

Required to build:
[pkgtools/x11-links] [x11/renderproto]

Master sites:

SHA1: 31ec968a84e8b636b149770087823cd79455a5dd
RMD160: b845d72781f9e732a05f53a25198f0877b2080ba
Filesize: 1776.35 KB

Version history: (Expand)

CVS history: (Expand)


   2012-10-16 13:37:40 by Kamel Derouiche | Files touched by this commit (1) 
Log message:
Remove PYTHON_VERSIONS_ACCEPTED
   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.
   2012-02-01 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 03:23:22 by ndb | Files touched by this commit (1) 
Log message:
changed dependencies.
   2011-02-25 10:47:47 by Thomas Klausner | Files touched by this commit (76) 
Log message:
Let's assume for now that everything that worked with python-2.6 also
works with python-2.7.
   2010-05-13 14:44:51 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py26-papy-1.0b1 as wip/py-papy.

PaPy is a framework to construct and execute pipelines (flow-charts) of
arbitrary tasks in parallel, either locally, using multi-processing or
multi-threading, or remotely, using RPC (Remote Procedure Calls) as provided by
RPyC (Remote Python Call). The goal is to enable users to create highly generic,
modular and workflows for execution on ad hoc  computing grids, consisting of,
local workstations and remote desktops/servers.