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2006-01-04Name of .so file depends on version of R built against so fix PLISTmarkd1-1/+4
again and depend on the latest version of R. Bump PKGREVISION.
2005-12-19Fix PLIST problem seen in bulk builds.markd1-2/+2
2005-10-21update to 0.4.6drochner4-34/+14
changes: many bugfixes, some improvements in mapping R-Python objects
2005-04-11Remove USE_BUILDLINK3 and NO_BUILDLINK; these are no longer used.tv1-2/+1
2005-02-23Add RMD160 digests in addition to SHA1 ones.agc1-1/+2
2004-11-21Find new location of libR.so. Bump PKGREVISION.markd3-6/+16
Fixes PR pkg/28371
2004-07-22add python as categoryrecht1-2/+2
ok'd a while back at pkgsrcCon by agc and wiz
2004-04-27Convert to buildlink3.snj1-4/+4
2003-12-04CHANGES IN RPy 0.3.1adam3-11/+14
-------------------- 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.
2003-09-14hange extension.mk to also install optimized files for distutils packages.recht2-3/+5
Inspired by FreeBSD "ports". Fix the PLISTs accordingly. Also, while at it, remove now obsolete compileall.py calls in post-install targets and insure that extension.mk is in included before builinlinks of other Python modules. Discussed with/ok'ed by drochner@.
2003-07-17s/netbsd.org/NetBSD.org/grant1-2/+2
2003-06-02Use tech-pkg@ in favor of packages@ as MAINTAINER for orphaned packages.jschauma1-2/+2
Should anybody feel like they could be the maintainer for any of thewe packages, please adjust.
2002-12-10Initial import of py-rpy-0.3.markd5-0/+48
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.