NOTICE: This package has been removed from pkgsrc

./wip/py-rpyc, Remote Python Call (RPyC), a transparent and symmetric RPC library

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Branch: CURRENT, Version: 3.3.0, Package name: py37-rpyc-3.3.0, Maintainer: gde

RPyC (pronounced like are-pie-see), or Remote Python Call, is a transparent
library for symmetrical remote procedure calls, clustering and
distributed-computing.
RPyC makes use of object-proxying, a technique that employs python's dynamic
nature, to overcome the physical boundaries between processes and computers,
so that remote objects can be manipulated as if they were local.


Required to run:
[wip/py-plumbum] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 0241d44da9a6c7b6d9ed2773e632bb160723e9aa
RMD160: 863bdc7e995183fecf3eab21e9cdee07e4c1c1b8
Filesize: 52.286 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.
   2012-10-04 00:14:51 by Thomas Klausner | Files touched by this commit (40)
Log message:
Update for python25 removal.
   2012-09-10 13:22:45 by Kamel Derouiche | Files touched by this commit (2)
Log message:

	UPDATE VERSION
	UPDATE HOMEPAGE
   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.
   2010-05-16 17:50:56 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py26-rpyc-3.0.7 as wip/py-rpyc.

RPyC(pronounced like 'are-pie-see'), or Remote Python Call, is a
transparent and symmetrical python library for remote procedure
calls, clustering and distributed-computing. RPyC makes use of
object-proxying, a technique that employs python's dynamic nature,
to overcome the physical boundaries between processes and computers,
so that remote objects can be manipulated as if they were local.