search for: function_called

Hello everybody, I have a problem that is bothering me for quite a while now and I don't know the answer... I want to create global variables (out of a function) which I can access from all other functions... But somehow that does not work too well. Attached some code for an example: function_called <- function (){ result = globalvariable*globalvariable print(result) } function_calls <- function(){ assign("globalvariable",10,pos=-1,envir=as.environment(pos)) function_called() } function_calls() I would have assumed that I will get "100" printed on my screen...

> > Mehdi - Could you list a couple of the features that show up in generic > tests which your target doesn't support by design? After reading through > the discussion to this point, I don't really have a feel for that. > Additionally, do you have any sense for how common that set is across GPU > targets? > > This is what I was referring to in my last email: >

On 27/02/17 08:05, Tom Robinson via samba wrote: > On 17/02/17 07:58, Andrew Bartlett via samba wrote: >> On Fri, 2017-02-17 at 07:48 +1100, Tom Robinson via samba wrote: >>> Anyone? >> Can you please post a gdb backtrace --full? >> >> > Hi, > > I replied last week with a full backtrace but I didn't see my post come through. The email was only >

On Fri, 2017-02-17 at 07:48 +1100, Tom Robinson via samba wrote: > Anyone? Can you please post a gdb backtrace --full? -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 862 bytes Desc: This is a digitally signed message part URL:

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

? Sat, 17 Feb 2024 11:15:43 -0700 "Reed A. Cartwright" <racartwright at gmail.com> ?????: > I'm wrapping a function in R and I want to record all the arguments > passed to it, including default values and missing values. This is hard if not impossible to implement for the general case because the default arguments are evaluated in the environment of the function as it