search for: r_makeexternalptr

...#39;m unsure how to solve. I am looking to pass a C++ class object to R so that it may be passed back to another C++ function later on to be used. I'm quite new to R and this is my first time writing a package, so I hope you can bear with me. The following is how I create the class and use R_MakeExternalPtr(). This occurs in a function called "soamInit": Session* sesPtr = conPtr->createSession(attributes); void* temp = session; SEXP out = R_MakeExternalPtr(temp, R_NilValue, R_NilValue); return out; The following is how I try to retrieve the class object in a different...

Hi, I'm using R_MakeExternalPtr() to store handles to (COM) objects in a SEXP. The code basically is sexp = R_MakeExternalPtr(handle,R_NilValue,R_NilValue); R_RegisterCFinalizerEx(...); After creating the sexp, LENGTH(sexp) returns some quite large integer value. It seems like an "unitialized" value. Can I safely...

...An R-wrapper wraps the C-wrapper. Here is a rough example to demonstrate the above: --------------------- C++ class: class foo { public: foo(); ~foo(); fun(); } --------------------- C-wrapper: extern "C" SEXP R_foo_init() { foo* obj = new foo(); SEXP res; PROTECT(res = R_MakeExternalPtr(obj, R_NilValue, R_NilValue)); UNPROTECT(1); return res; } extern "C" SEXP R_foo_fun(SEXP ptr) { foo *ptr = Hello I am trying to wrap some C++ classes into R. (1) Comparing the OOP and methods packages, I have came to this conclusion that OOP works much better for this wrapper...

...te_finalizer(SEXP eptr) { Rprintf("Calling the finalizer\n"); void* vector = R_ExternalPtrAddr(eptr); free(vector); R_ClearExternalPtr(eptr); } SEXP h5R_allocate(SEXP size) { int i = INTEGER(size)[0]; char* vector = (char*) malloc(i*sizeof(char)); SEXP e_ptr = R_MakeExternalPtr(vector, R_NilValue, R_NilValue); R_RegisterCFinalizerEx(e_ptr, h5R_allocate_finalizer, TRUE); return e_ptr; } If I run an R program like this: v <- replicate(100000, { .Call("h5R_allocate", as.integer(1000000)) }) rm(v) gc() Then you can see the problem (top reports that...

...t;sexp_address", new("externalptr")) [1] "0xde2ce0" > .Call("sexp_address", new("externalptr")) [1] "0xde2ce0" Isn't that wrong? I worked around this problem by writing the following C routine: SEXP xp_new() { return R_MakeExternalPtr(NULL, R_NilValue, R_NilValue); } so I can create new "externalptr" instances from R with: .Call("xp_new") I understand that there is not much you can do from R with an "externalptr" instance and that you will have to manipulate them at the C level anyway. But si...

Is the following expected behavior? > mkext <- inline::cfunction(language="C", body='return R_MakeExternalPtr(NULL, install("tag"), R_NilValue);') > x <- mkext() > y <- x > attr(y, "foo") <- "bar" > attributes(x) $foo [1] "bar" I would expect that modifying y's attributes should not affect x. [Tested on R version 3.3.3 x86_64-apple-...

...example getDeviceInfo <- function(handle) { .C("groovyDevice_getDeviceInfo", PACKAGE="groovyDevice", handle, status = as.integer(0))[-1] # skip handle } where "handle" was the result of a .Call to a routine which returned a SEXP which was the result of a R_MakeExternalPtr() call The "c" routine looked like: void groovyDevice_getDeviceInfo(SEXP handle, int *status) { groovyHandle *gh = R_ExternalPtrAddr(handle); *status = GroovyStatus(gh); } This all used to work fine. As of 2.15.0, I now get this: Warning message: In getDeviceInfo() : passi...

...inconsistent behaviors of `@<-` operator when used in different ways. Consider the following example: library(inline) # Function to generate an externalptr object with random address new_extptr <- cfunction(c(), ' SEXP val = PROTECT(ScalarLogical(1)); SEXP out = PROTECT(R_MakeExternalPtr(&val, R_NilValue, val)); UNPROTECT(2); return(out); ') setClass("S4ClassHoldingExtptr", contains = "externalptr") subs_extptr_1 <- function(x) { x at .xData <- new_extptr() x } subs_extptr_2 <- function(x) { x <- `@<-`(x, &...

...; ? ? ? ?PROTECT (input = AS_NUMERIC (input)); ? ? ? ?double * temp;? ? ? ? ?temp = REAL(input); double *x; ? ? ? ? ? ? ? ##here is the step which causes the memory leak cudacall(cudaMalloc((void**)&x, *lenth * sizeof(double))); //protect the R external pointer from finalizer SEXP ext = PROTECT(R_MakeExternalPtr(x, R_NilValue, R_NilValue)); R_RegisterCFinalizerEx(ext, _finalizer, TRUE); ? //copying CPU to GPU cublascall(cublasSetVector(*lenth, sizeof(double), temp, 1,? R_ExternalPtrAddr(ext), 1)); ? ? ? ? ? ?UNPROTECT(2); return ext; } here is my finalized for my create function, /* define finalizer fo...

Given an externalptr object 'pool' which protects an R object 'prot': # SEXP prot = (a dynamically updated list with handles) SEXP pool = R_MakeExternalPtr(p, R_NilValue, prot); R_RegisterCFinalizerEx(pool, fin_pool, TRUE); WRE explains that 'prot' remains in existence as long as 'pool' is around. Does this also mean 'prot' still exists when the finalizer of 'pool' gets executed? Long story: I am running into an iss...

...ans_nms, R_z, R_a, R_b, R_c; FTYPE *datafile; char *fname; float *a, *b, *c; int f_type; float t, p, l; int st, na, result, bFlags; XXX z; } my_data_ptr; // In a C function initializing the external pointer: my_data_ptr *mydata = Calloc( 1, my_data_ptr ) ; SEXP Rdata; PROTECT(Rdata = R_MakeExternalPtr( mydata, R_fname, R_NilValue )); ... mydata->a = Calloc(mydata->na, float); // same for b and c // initializing names so that I could use e.g. df$a where df is returned by read_my_data() PROTECT(mydata->ans_nms = Rf_allocVector(STRSXP, efldNR )); for( ix = 0; ix < efldNR; ix++ ) S...

...Free(ptr); Rprintf("finalized\n"); }else{ Rprintf("nothing to finalize\n"); } return; } SEXP rindex_open( SEXP Sn ){ int i,n = INTEGER(Sn)[0]; pINT ptr = Calloc(sizeof(INT)*n, INT); SEXP extPtr, ret; for (i=0;i<n;i++){ ptr[i] = i; } extPtr = R_MakeExternalPtr(ptr, install("Rindex_extPtr"), R_NilValue); R_RegisterCFinalizer(extPtr, rindex_finalize); PROTECT(ret = allocVector(VECSXP, 1)); SET_VECTOR_ELT(ret,0,extPtr); UNPROTECT(1); return ret; } SEXP rindex_close( SEXP obj ){ int i, n= 10; SEXP ret, extPtr=VECTOR_ELT(obj, 0);...

I have some C data I want to pass back to R opaquely, and then back to C. I understand external pointers are the way to do so. I'm trying to find how they interact with garbage collection and object lifetime, and what I need to do so that the memory lives until the calling R process ends. Could anyone give me some pointers? I haven't found much documentation. An earlier message

...t;-` operator when > used in different ways. Consider the following example: > > library(inline) > > # Function to generate an externalptr object with random address > new_extptr <- cfunction(c(), ' > SEXP val = PROTECT(ScalarLogical(1)); > SEXP out = PROTECT(R_MakeExternalPtr(&val, R_NilValue, val)); > UNPROTECT(2); > return(out); > ') > > setClass("S4ClassHoldingExtptr", contains = "externalptr") > > subs_extptr_1 <- function(x) { > x at .xData <- new_extptr() > x > } > > subs_extptr...

...ore difficult and it's likely to be a significant amount of work. I'm guessing that there needs to be some of the following functions at the R level - perhaps they are already around and I've missed them. GenExtPointer - basically the same thing that can get returned by a .Call using R_MakeExternalPtr. The address of the appropriate part of this would then need to be passed in the place of "output" above, presumably by using an R interface to R_ExternalPtrAddr. register.finalizer mentioned in Lukes discussion papers is needed. I welcome any advice about other ways of approaching this...

...avior intentional, undocumented or simply wrong? Cheers, Simon [Tested with R 2.0.0 release (2004-10-04) on Mac OS X 10.3.5 - I have currently no other machine to test it on, but I very much suspect that this is platform-independent.] the C code used to generate the object: SEXP class, sref = R_MakeExternalPtr((void*) obj, R_NilValue, R_NilValue); PROTECT(class = allocVector(STRSXP, 1)); SET_STRING_ELT(class, 0, mkChar("ObjCid")); SET_CLASS(sref, class); UNPROTECT(1);

Hello, I wrote a system to perform data analysis in C++. Now I am integrating it to R. I need to allocate memory for my own C++ data structures, which can't be represented by any R data structures. I create a global hashtable to keep a reference to the C++ data structures. Whenever I allocate one, I register it in the hashtable and return its key to the R code. So later on, the R code can

Hi, I am writing an R package with two functions in C++. So far everything works. Now, i would like to write a third function which would use a pointer (it is a pointer to a class object) created by first function. I tried placing this pointer outside of the function definitions (i.e to make it global) but when called in the 3rd function i get > *** caught bus error *** address 0x0,

Hi, I am writing an R package with two functions in C++. So far everything works. Now, i would like to write a third function which would use a pointer (it is a pointer to a class object) created by first function. I tried placing this pointer outside of the function definitions (i.e to make it global) but when called in the 3rd function i get > *** caught bus error *** address 0x0,

I'd like to raise this again now that 4.4 is out. Below is a more complete patch which includes a function to properly cleanup libcurl when R quits. Implementing this is a little tricky because libcurl is a separate "module" in R, perhaps there is a better way, but this works: view: https://github.com/r-devel/r-svn/pull/166/files patch: