On Tue, 8 Feb 2011, Rainer Hurling wrote:
On 07.02.2011 23:45 (UTC+1), Prof Brian Ripley wrote:
A follow-up on this.
Cygwin has recently[*] added support for C99 complex math, taken from
NetBSD with code that is very similar to that from Steven Moshier
available via http://www.moshier.net/c9x_readme.html.
That code isn't entirely right, especially not at the cuts on the
inverse functions where C99 mandates what cut is used (and neither glibc
nor Mac OS X have it correct).
I would expect that the current R-devel (I mean an SVN checkout now)
should build on your platform, substituting the missing functions by
ones based on earlier code. There may be a few more tweaks required, but
I have corrected several errors in the versions FreeBSD would have used
in R 2.12.1.
On FreeBSD 9.0-CURRENT (amd64) I have done a
svn co https://svn.r-project.org/R/trunk r-devel/R
and after that
configure --without-recommended-packages
The configure script does not complain any more about missing C99 complex
support. I was able to build and install R (without recommended packages).
Starting R and doing examples on ?complex seems to work correct.
sessionInfo()
R version 2.13.0 Under development (unstable) (2011-02-08 r54279)
Platform: x86_64-unknown-freebsd9.0 (64-bit)
locale:
[1] de_DE.ISO8859-15/de_DE.ISO8859-15/C/C/de_DE.ISO8859-15/de_DE.ISO8859-15
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] tools_2.13.0
Thank you very much for this work. Will it exist in some way in the next
release?
Just to be clear, the next release will almost certainly be 2.12.2
(currently R-patched). That will use pre-C99 complex as 2.12.1 did,
but with several bugs fixed. Then we would expect a 2.13.0 in April,
and that will require C99 complex in the compiler plus some version of
the current substitutes for csin etc.
My sysadmins have updated a FreeBSD virtual machine for me (to
8.2-rc3): hopefully I will be able to test R-devel on it in future.
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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