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History of commit frequency

CVS Commit History:


   2005-04-11 23:48:17 by Todd Vierling | Files touched by this commit (3539)
Log message:
Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used.
   2005-02-23 13:06:59 by Alistair G. Crooks | Files touched by this commit (101)
Log message:
Add RMD160 digests in addition to SHA1 ones.
   2004-11-21 06:31:03 by Mark Davies | Files touched by this commit (3)
Log message:
Find new location of libR.so.  Bump PKGREVISION.
Fixes PR pkg/28371
   2004-07-22 11:16:04 by Marc Recht | Files touched by this commit (123)
Log message:
add python as category
ok'd a while back at pkgsrcCon by agc and wiz
   2004-04-27 23:26:09 by Soren Jacobsen | Files touched by this commit (11)
Log message:
Convert to buildlink3.
   2003-12-04 14:50:34 by Adam Ciarcinski | Files touched by this commit (3)
Log message:
CHANGES IN RPy 0.3.1
--------------------
Fixed bugs

o There was several memory leaks due to bad management of Python
  refcounts.

o There was wrong synchronization of the thread running the R event
  loop and the calls to the R interpreter.

o There was a bug with signal handling which caused segfault when
  'Ctrl-C' were pressed.

o The R event loop shouldn't be run in non-interactive sessions.

o The i/o Python callbacks were wrong synchronized with the R event
  loop thread.

New features

o Added a rpy_version symbol.
   2003-07-17 23:50:07 by grant beattie | Files touched by this commit (1504)
Log message:
s/netbsd.org/NetBSD.org/
   2003-06-02 03:21:53 by Jan Schaumann | Files touched by this commit (1131)
Log message:
Use tech-pkg@ in favor of packages@ as MAINTAINER for orphaned packages.
Should anybody feel like they could be the maintainer for any of thewe packages,
please adjust.
   2002-12-10 13:30:59 by Mark Davies | Files touched by this commit (5) | Imported package
Log message:
Initial import of py-rpy-0.3.

Package provided by Kent Polk <kent@goathill.org> in personal email.

RPy is a very simple, yet robust, Python interface to the R
Programming Language. It can manage all kinds of R objects and can
execute arbitrary R functions (including the graphic functions).
All the errors from the R language are converted to Python exceptions.
Any modules that later were installed on the R system, can easily
be used from within Python, without introducing any changes.


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