Le 08/10/13 17:12, Dominick Samperi a écrit :
That is interesting Romain, but the linking complexity remains
for derived packages like RcppOctave, and especially for derived
packages that export their C/C++ functions to clients (unless
these derived packages can also place all C++ code in header files).
Sure. There is always the issue of linking against R, etc ... but this
would eliminate the need for linking against Rcpp.
As for placing the client package in headers, not everything has to go
there, I have e.g. some functions in Rcpp11 that are only defined in
Rcpp11's .cpp file.
For example:
const char * type2name__impl(int sexp_type);
What I've done is making it so that Rcpp11's headers calls this one
instead:
inline const char* type2name(int sexp_type){
GET_CALLABLE(type2name__impl, sexp_type)
}
and all the magic is in the GET_CALLABLE macro:
#if defined(COMPILING_RCPP11)
#define GET_CALLABLE(__FUN__, ...) return __FUN__( __VA_ARGS__ ) ;
#else
#define GET_CALLABLE(__FUN__, ...) \
typedef decltype(__FUN__)* Fun ; \
static Fun fun = (Fun)R_GetCCallable( "Rcpp11", #__FUN__) ; \
return fun(__VA_ARGS__) ;
#endif
So if we are compiling Rcpp11 (which is true only for .cpp files in
Rcpp11), then type2name would directly call type2name__impl, otherwise
we first get the function pointer with :
static Fun fun = (Fun)R_GetCCallable( "Rcpp11", "type2name__impl" ) ;
and then call fun.
Writing this, I do realize that this in fact uses some C++11 features:
variadic macros and decltype. It does not mean we could not do it in
Rcpp, but it would be harder and would involve macro bloat (we would
need something like GET_CALLABLE_0, GET_CALLABLE_1, GET_CALLABLE_2, ...
Then, when Rcpp11 dynamic library is loaded by R, the __impl function is
registered:
#define REGISTER(__FUN__) R_RegisterCCallable( "Rcpp11", #__FUN__
"__impl", (DL_FUNC)__FUN__ ## __impl );
REGISTER(type2name)
This allows me to have all in headers and use R's mechanism for
"linking". Not really linking as it just involves resolving the function
pointer.
I find this more maintainable than depending on each platform's linker.
Anyway, just saying a client package could use something similar so that
it does not have to actually link.
Romain
On Tue, Oct 8, 2013 at 9:58 AM, Romain Francois
<rom...@r-enthusiasts.com <mailto:rom...@r-enthusiasts.com>> wrote:
Hello,
I've only been following that thread from a distance. There is
always so much I can do when it comes to windows.
Anyway, in Rcpp11 I'm experimenting with completely letting go of
the whole linking against the Rcpp library and all the issues it has
brought to the table over the years (should it be static linking,
how to call Rcpp:::LdFlags, need for a Makevars and a Makevars.win,
...).
With Rcpp11, the only thing you'll ever need will be: LinkingTo: Rcpp11
This was made possible by moving quite a big chunk of code into
headers, and for the rest using the R mechanism (R_GetCCallable,
R_RegisterCCallable) as described in WRE.
Now, I have no idea yet if Rcpp11 works on windows. Right now I'm
fearcely developping it, so I don't have time for playing games with
windows. But that time will come.
None of the techniques I'm using for that are depending on C++11,
which would make it possible to use the same strategy for Rcpp too.
But I fear that because too many depend on the current setting
(Makevars, Makevars.win, making a library and non portably link
against it) it is not likely to happen.
Romain
Le 08/10/13 15:47, Dominick Samperi a écrit :
I just installed the binary with Rtools not on my path (but with
R in PATH)
and the first time I tried to load/unload RcppOctave I got the
obscure
Windows load error (app terminated "in an unusual way"), but now I
cannot reproduce it! If you are linking to the static Rcpp lib there
should be no problems.
I guess the source distribution is not in sync with the binary?
On Tue, Oct 8, 2013 at 2:11 AM, Renaud <geto...@gmail.com
<mailto:geto...@gmail.com>
<mailto:geto...@gmail.com <mailto:geto...@gmail.com>>> wrote:
Good. Still wondering why path to Rcpp.dll is needed when
installing
the binary package since RcppOctave.dll is linked static to
Rcpp.a
with full path specified. Most users will use the binary
and not
build it from source (which requires Rtools and possibly
more config.
Did you try installing the binary directly from the repo
(with only
octave bin/ in the path, not Rtools nor R)?
Renaud
On Monday, October 7, 2013, Dominick Samperi wrote:
I don't think you need to worry about linking against
the .dll
files, as the
import libraries (.dll.a files) contain all of the
information
that the linker needs,
and you PATH will tell Windows where to find the
corresponding
dll's.
It is possible to link against the dll's without using
import libs,
but then various tricks have to be used to specify what is
exported from each dll.
I downloaded the source for 0.10.1 and it seems to
build and install
ok provided I place Rcpp.dll on PATH. It would save the
user some
trouble if PATH could be updated automatically, but it is
probably not
a good idea to have R package installation or startup
update the
users
environment...
On Mon, Oct 7, 2013 at 10:52 AM, Renaud Gaujoux
<ren...@mancala.cbio.uct.ac.za
<mailto:ren...@mancala.cbio.uct.ac.za>__> wrote:
Thanks for the details Dominick.
I think I got it working now, by ad Octave bin
directory to
the path prior loading RcppOctave library.
I tested it by renaming the Octave root directory into
something different than at building time.
I added the option to specify Octave path via option
octave.path (e.g., see ?OctaveInit), so that the
package
loads fine even if Octave is not installed/found.
The user
can also define this option in the .Rprofile if
Octave is
not installed in the path by default.
Please let me know if it works for you:
install.packages('RcppOctave', repos =
c(getOption('repos'),
'http://web.cbio.uct.ac.za/~__renaud/CRAN'
<http://web.cbio.uct.ac.za/~renaud/CRAN'>))
library(RcppOctave)
.O$rand()
Note that this version (0.10.1) was linked against the
.dll.a files, but will load the .dll files... I
will try
later to link against the .dll files as you suggested.
Bests,
Renaud
On 7 October 2013 16:24, Dominick Samperi
<djsamp...@gmail.com <mailto:djsamp...@gmail.com>>
wrote:
Yes, I placed Octave bin on my path. This is
required to
find its dll's for the same reason
that Rcpp libs (directory containing Rcpp.dll)
needs to
be on PATH. If you enable clients
of RcppOctave.dll to link against functions
provided by
RcppOctave, then these clients
will have to add the RcppOctave libs directory
to their
PATH.
The Octave dll's must be in its bin directory
due to
another Windows dll search rule:
when you run an executable (like octave.exe) that
depends on dll's, Windows will
resolve the dependencies when the dll's are in
the same
directory as the executable.
You should be able to link to liboctave-1.dll using
'-loctave-1', provided the bin
directory is on your PATH. The gcc '.dll.a'
suffix means
the file is an import library,
not a static lib or a shared lib. Import libs tell
Windows how to resolve references
in the corresponding dll. Windows uses the
'.lib' suffix
for import libs. For your
purposes you should link against the dll's, not
the dll.a's.
On Mon, Oct 7, 2013 at 4:59 AM, Renaud Gaujoux
<ren...@mancala.cbio.uct.ac.za
<mailto:ren...@mancala.cbio.uct.ac.za>__> wrote:
Dominick, just to be sure: did you have
Octave bin
directory in your PATH when you tested the
package?
Because Octave dlls are also in that directory.
I am getting confused on which path/dll is
to be
used where. Currently I build
RcppOctave.dll linking
against the dll.a files found in
"C:\Octave\Octave3.6.4_gcc4.6.__2\lib\octave\3.6.4".
But there are .dll files (although named
liboctave-1.dll and not liboctave.dll as I
would
expect) in
""C:\Octave\Octave3.6.4_gcc4.__6.2\bin"
where octave.exe. and octave-config.exe
also live.
I had tried loading the .dll.a files with
dyn.load
in R but got errors. The -1.dll files load
fine, and
might be the ones I could load manually in
.onLoad.
Now, should I also link using the bin/ path
and the
-1.dll files?
Renaud
--
Romain Francois
Professional R Enthusiast
+33(0) 6 28 91 30 30
_______________________________________________
Rcpp-devel mailing list
Rcpp-devel@lists.r-forge.r-project.org
https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel