[Rcpp-commits] r3721 - in pkg/RcppEigen/inst: include tests unitTests
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Jul 27 20:28:01 CEST 2012
Author: dmbates
Date: 2012-07-27 20:28:01 +0200 (Fri, 27 Jul 2012)
New Revision: 3721
Modified:
pkg/RcppEigen/inst/include/RcppEigenWrap.h
pkg/RcppEigen/inst/tests/test-wrap.R
pkg/RcppEigen/inst/unitTests/runit.RcppEigen.R
Log:
Got wrap of complex vectors, matrices and arrays working. Restored tests.
Modified: pkg/RcppEigen/inst/include/RcppEigenWrap.h
===================================================================
--- pkg/RcppEigen/inst/include/RcppEigenWrap.h 2012-07-27 18:26:17 UTC (rev 3720)
+++ pkg/RcppEigen/inst/include/RcppEigenWrap.h 2012-07-27 18:28:01 UTC (rev 3721)
@@ -24,49 +24,49 @@
namespace Rcpp{
- namespace RcppEigen{
+ namespace RcppEigen{
- template<typename T>
- SEXP Eigen_cholmod_wrap(const Eigen::CholmodDecomposition<Eigen::SparseMatrix<T> >& obj) {
- const cholmod_factor* f = obj.factor();
- if (f->minor < f->n)
- throw std::runtime_error("CHOLMOD factorization was unsuccessful");
+// template<>
+ SEXP Eigen_cholmod_wrap(const Eigen::CholmodDecomposition<Eigen::SparseMatrix<double> >& obj) {
+ const cholmod_factor* f = obj.factor();
+ if (f->minor < f->n)
+ throw std::runtime_error("CHOLMOD factorization was unsuccessful");
//FIXME: Should extend this selection according to T
- S4 ans(std::string(f->is_super ? "dCHMsuper" : "dCHMsimpl"));
- IntegerVector dd(2);
- dd[0] = dd[1] = f->n;
- ans.slot("Dim") = dd;
- ans.slot("perm") = ::Rcpp::wrap((int*)f->Perm, (int*)f->Perm + f->n);
- ans.slot("colcount") = ::Rcpp::wrap((int*)f->ColCount, (int*)f->ColCount + f->n);
- IntegerVector tt(f->is_super ? 6 : 4);
- tt[0] = f->ordering; tt[1] = f->is_ll;
- tt[2] = f->is_super; tt[3] = f->is_monotonic;
- ans.slot("type") = tt;
- if (f->is_super) {
- tt[4] = f->maxcsize; tt[5] = f->maxesize;
- ans.slot("super") = ::Rcpp::wrap((int*)f->super, ((int*)f->super) + f->nsuper + 1);
- ans.slot("pi") = ::Rcpp::wrap((int*)f->pi, ((int*)f->pi) + f->nsuper + 1);
- ans.slot("px") = ::Rcpp::wrap((int*)f->px, ((int*)f->px) + f->nsuper + 1);
- ans.slot("s") = ::Rcpp::wrap((int*)f->s, ((int*)f->s) + f->ssize);
- ans.slot("x") = ::Rcpp::wrap((T*)f->x, ((T*)f->x) + f->xsize);
- } else {
- ans.slot("i") = ::Rcpp::wrap((int*)f->i, ((int*)f->i) + f->nzmax);
- ans.slot("p") = ::Rcpp::wrap((int*)f->p, ((int*)f->p) + f->n + 1);
- ans.slot("x") = ::Rcpp::wrap((T*)f->x, ((T*)f->x) + f->nzmax);
- ans.slot("nz") = ::Rcpp::wrap((int*)f->nz, ((int*)f->nz) + f->n);
- ans.slot("nxt") = ::Rcpp::wrap((int*)f->next, ((int*)f->next) + f->n + 2);
- ans.slot("prv") = ::Rcpp::wrap((int*)f->prev, ((int*)f->prev) + f->n + 2);
- }
- return ::Rcpp::wrap(ans);
- }
+ S4 ans(std::string(f->is_super ? "dCHMsuper" : "dCHMsimpl"));
+ IntegerVector dd(2);
+ dd[0] = dd[1] = f->n;
+ ans.slot("Dim") = dd;
+ ans.slot("perm") = ::Rcpp::wrap((int*)f->Perm, (int*)f->Perm + f->n);
+ ans.slot("colcount") = ::Rcpp::wrap((int*)f->ColCount, (int*)f->ColCount + f->n);
+ IntegerVector tt(f->is_super ? 6 : 4);
+ tt[0] = f->ordering; tt[1] = f->is_ll;
+ tt[2] = f->is_super; tt[3] = f->is_monotonic;
+ ans.slot("type") = tt;
+ if (f->is_super) {
+ tt[4] = f->maxcsize; tt[5] = f->maxesize;
+ ans.slot("super") = ::Rcpp::wrap((int*)f->super, ((int*)f->super) + f->nsuper + 1);
+ ans.slot("pi") = ::Rcpp::wrap((int*)f->pi, ((int*)f->pi) + f->nsuper + 1);
+ ans.slot("px") = ::Rcpp::wrap((int*)f->px, ((int*)f->px) + f->nsuper + 1);
+ ans.slot("s") = ::Rcpp::wrap((int*)f->s, ((int*)f->s) + f->ssize);
+ ans.slot("x") = ::Rcpp::wrap((T*)f->x, ((T*)f->x) + f->xsize);
+ } else {
+ ans.slot("i") = ::Rcpp::wrap((int*)f->i, ((int*)f->i) + f->nzmax);
+ ans.slot("p") = ::Rcpp::wrap((int*)f->p, ((int*)f->p) + f->n + 1);
+ ans.slot("x") = ::Rcpp::wrap((T*)f->x, ((T*)f->x) + f->nzmax);
+ ans.slot("nz") = ::Rcpp::wrap((int*)f->nz, ((int*)f->nz) + f->n);
+ ans.slot("nxt") = ::Rcpp::wrap((int*)f->next, ((int*)f->next) + f->n + 2);
+ ans.slot("prv") = ::Rcpp::wrap((int*)f->prev, ((int*)f->prev) + f->n + 2);
+ }
+ return ::Rcpp::wrap(ans);
+ }
} /* namespace RcppEigen */
- template<typename T>
- SEXP wrap(const Eigen::CholmodDecomposition<Eigen::SparseMatrix<T> >& obj) {
- return RcppEigen::Eigen_cholmod_wrap(obj);
- }
+ template<>
+ SEXP wrap(const Eigen::CholmodDecomposition<Eigen::SparseMatrix<double> >& obj) {
+ return RcppEigen::Eigen_cholmod_wrap(obj);
+ }
namespace RcppEigen{
@@ -80,46 +80,46 @@
// for plain dense objects
template <typename T>
SEXP eigen_wrap_plain_dense( const T& obj, Rcpp::traits::true_type ){
- if( T::ColsAtCompileTime == 1 ) {
- return wrap( obj.data(), obj.data() + obj.size() ) ;
- } else {
- if (T::IsRowMajor)
- throw std::invalid_argument("R requires column-major dense matrices");
- typedef typename T::Scalar Scalar;
- const int RTYPE = Rcpp::traits::r_sexptype_traits<Scalar>::rtype ;
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- int m(obj.rows()), n(obj.cols());
- SEXP ans = ::Rf_allocMatrix(RTYPE, m, n);
- std::copy(obj.data(), obj.data() + m * n,
- ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(ans));
- return ans;
+ int m = obj.rows(), n = obj.cols();
+ SEXP ans = PROTECT(::Rcpp::wrap(obj.data(), obj.data() + m * n));
+ if( T::ColsAtCompileTime != 1 ) {
+ if (T::IsRowMajor)
+ throw std::invalid_argument("R requires column-major dense matrices");
+ SEXP dd = PROTECT(::Rf_allocVector(INTSXP, 2));
+ int *d = INTEGER(dd);
+ d[0] = m;
+ d[1] = n;
+ ::Rf_setAttrib(ans, R_DimSymbol, dd);
+ UNPROTECT(1);
}
+ UNPROTECT(1);
+ return ans;
}
// for plain sparse objects
template <typename T>
SEXP eigen_wrap_plain_dense( const T& object, Rcpp::traits::false_type ){
- typedef typename T::Scalar Scalar;
- const int RTYPE = Rcpp::traits::r_sexptype_traits<Scalar>::rtype;
- std::string klass;
- switch(RTYPE) {
- case REALSXP: klass = T::IsRowMajor ? "dgRMatrix" : "dgCMatrix";
- break;
-// case INTSXP: klass = T::IsRowMajor ? "igRMatrix" : "igCMatrix"; // classes not exported
-// break;
- default:
- throw std::invalid_argument("RTYPE not matched in conversion to sparse matrix");
- }
- S4 ans(klass);
- const int nnz = object.nonZeros();
- ans.slot("Dim") = Dimension(object.rows(), object.cols());
- ans.slot(T::IsRowMajor ? "j" : "i") =
- IntegerVector(object.innerIndexPtr(), object.innerIndexPtr() + nnz);
- ans.slot("p") = IntegerVector(object.outerIndexPtr(),
- object.outerIndexPtr() + object.outerSize() + 1);
- ans.slot("x") = Vector<RTYPE>(object.valuePtr(), object.valuePtr() + nnz);
- return ans;
- }
+ typedef typename T::Scalar Scalar;
+ const int RTYPE = Rcpp::traits::r_sexptype_traits<Scalar>::rtype;
+ std::string klass;
+ switch(RTYPE) {
+ case REALSXP: klass = T::IsRowMajor ? "dgRMatrix" : "dgCMatrix";
+ break;
+// case INTSXP: klass = T::IsRowMajor ? "igRMatrix" : "igCMatrix"; // classes not exported
+// break;
+ default:
+ throw std::invalid_argument("RTYPE not matched in conversion to sparse matrix");
+ }
+ S4 ans(klass);
+ const int nnz = object.nonZeros();
+ ans.slot("Dim") = Dimension(object.rows(), object.cols());
+ ans.slot(T::IsRowMajor ? "j" : "i") =
+ IntegerVector(object.innerIndexPtr(), object.innerIndexPtr() + nnz);
+ ans.slot("p") = IntegerVector(object.outerIndexPtr(),
+ object.outerIndexPtr() + object.outerSize() + 1);
+ ans.slot("x") = Vector<RTYPE>(object.valuePtr(), object.valuePtr() + nnz);
+ return ans;
+ }
// plain object, so we can assume data() and size()
template <typename T>
@@ -151,206 +151,206 @@
namespace traits {
- /* support for Rcpp::as */
-
- template<typename T>
- class Exporter<Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> > > {
- public:
- typedef typename Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> > MVType;
- Exporter(SEXP x) : d_size(::Rf_length(x)) {
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- if (TYPEOF(x) != RTYPE)
- throw std::invalid_argument("Wrong R type for mapped vector");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
- }
- MVType get() {return MVType(d_start, d_size);}
- protected:
- const int d_size;
- T* d_start;
- };
+ /* support for Rcpp::as */
+
+ template<typename T>
+ class Exporter<Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> > > {
+ public:
+ typedef typename Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> > MVType;
+ Exporter(SEXP x) : d_size(::Rf_length(x)) {
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ if (TYPEOF(x) != RTYPE)
+ throw std::invalid_argument("Wrong R type for mapped vector");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
+ }
+ MVType get() {return MVType(d_start, d_size);}
+ protected:
+ const int d_size;
+ T* d_start;
+ };
- template<typename T>
- class Exporter<Eigen::Map<Eigen::Array<T, Eigen::Dynamic, 1> > > {
- public:
- typedef typename Eigen::Map<Eigen::Array<T, Eigen::Dynamic, 1> > MAType;
- Exporter(SEXP x) : d_size(::Rf_length(x)) {
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- if (TYPEOF(x) != RTYPE)
- throw std::invalid_argument("Wrong R type for mapped vector");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
- }
- MAType get() {return MAType(d_start, d_size);}
- protected:
- const int d_size;
- T* d_start;
- };
+ template<typename T>
+ class Exporter<Eigen::Map<Eigen::Array<T, Eigen::Dynamic, 1> > > {
+ public:
+ typedef typename Eigen::Map<Eigen::Array<T, Eigen::Dynamic, 1> > MAType;
+ Exporter(SEXP x) : d_size(::Rf_length(x)) {
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ if (TYPEOF(x) != RTYPE)
+ throw std::invalid_argument("Wrong R type for mapped vector");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
+ }
+ MAType get() {return MAType(d_start, d_size);}
+ protected:
+ const int d_size;
+ T* d_start;
+ };
- template<typename T>
- class Exporter<Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> > > {
- public:
- typedef typename Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> > MMType;
- Exporter(SEXP x) : d_nrow(::Rf_length(x)), d_ncol(1) {
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- if (TYPEOF(x) != RTYPE)
- throw std::invalid_argument("Wrong R type for mapped vector");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
- if (::Rf_isMatrix(x)) {
- int *dims = INTEGER(::Rf_getAttrib(x, R_DimSymbol));
- d_nrow = dims[0];
- d_ncol = dims[1];
- }
- }
- MMType get() {return MMType(d_start, d_nrow, d_ncol);}
- protected:
- int d_nrow, d_ncol;
- T* d_start;
- };
+ template<typename T>
+ class Exporter<Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> > > {
+ public:
+ typedef typename Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> > MMType;
+ Exporter(SEXP x) : d_nrow(::Rf_length(x)), d_ncol(1) {
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ if (TYPEOF(x) != RTYPE)
+ throw std::invalid_argument("Wrong R type for mapped vector");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
+ if (::Rf_isMatrix(x)) {
+ int *dims = INTEGER(::Rf_getAttrib(x, R_DimSymbol));
+ d_nrow = dims[0];
+ d_ncol = dims[1];
+ }
+ }
+ MMType get() {return MMType(d_start, d_nrow, d_ncol);}
+ protected:
+ int d_nrow, d_ncol;
+ T* d_start;
+ };
- template<typename T>
- class Exporter<Eigen::Map<Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> > > {
- public:
- typedef typename Eigen::Map<Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> > MAType;
- Exporter(SEXP x) : d_nrow(::Rf_length(x)), d_ncol(1) {
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- if (TYPEOF(x) != RTYPE)
- throw std::invalid_argument("Wrong R type for mapped vector");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
- if (::Rf_isMatrix(x)) {
- int *dims = INTEGER(::Rf_getAttrib(x, R_DimSymbol));
- d_nrow = dims[0];
- d_ncol = dims[1];
- }
- }
- MAType get() {return MAType(d_start, d_nrow, d_ncol);}
- protected:
- int d_nrow, d_ncol;
- T* d_start;
- };
+ template<typename T>
+ class Exporter<Eigen::Map<Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> > > {
+ public:
+ typedef typename Eigen::Map<Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> > MAType;
+ Exporter(SEXP x) : d_nrow(::Rf_length(x)), d_ncol(1) {
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ if (TYPEOF(x) != RTYPE)
+ throw std::invalid_argument("Wrong R type for mapped vector");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(x);
+ if (::Rf_isMatrix(x)) {
+ int *dims = INTEGER(::Rf_getAttrib(x, R_DimSymbol));
+ d_nrow = dims[0];
+ d_ncol = dims[1];
+ }
+ }
+ MAType get() {return MAType(d_start, d_nrow, d_ncol);}
+ protected:
+ int d_nrow, d_ncol;
+ T* d_start;
+ };
- template <typename T>
- class Exporter<Eigen::Matrix<T, Eigen::Dynamic, 1> >
- : public IndexingExporter<Eigen::Matrix<T, Eigen::Dynamic, 1>, T> {
- public:
- Exporter(SEXP x) : IndexingExporter<Eigen::Matrix<T, Eigen::Dynamic, 1>, T >(x){}
- };
-
- template <typename T>
- class Exporter<Eigen::Array<T, Eigen::Dynamic, 1> >
- : public IndexingExporter<Eigen::Array<T, Eigen::Dynamic, 1>, T> {
- public:
- Exporter(SEXP x) : IndexingExporter<Eigen::Array<T, Eigen::Dynamic, 1>, T >(x){}
- };
-
- template <typename T>
- class Exporter< Eigen::Matrix<T, 1, Eigen::Dynamic> >
- : public IndexingExporter< Eigen::Matrix<T, 1, Eigen::Dynamic>, T > {
- public:
- Exporter(SEXP x) : IndexingExporter< Eigen::Matrix<T, 1, Eigen::Dynamic>, T >(x){}
- };
-
- template <typename T>
- class Exporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> >
- : public MatrixExporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>, T > {
- public:
- Exporter(SEXP x) :
- MatrixExporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>, T >(x){}
- };
+ template <typename T>
+ class Exporter<Eigen::Matrix<T, Eigen::Dynamic, 1> >
+ : public IndexingExporter<Eigen::Matrix<T, Eigen::Dynamic, 1>, T> {
+ public:
+ Exporter(SEXP x) : IndexingExporter<Eigen::Matrix<T, Eigen::Dynamic, 1>, T >(x){}
+ };
+
+ template <typename T>
+ class Exporter<Eigen::Array<T, Eigen::Dynamic, 1> >
+ : public IndexingExporter<Eigen::Array<T, Eigen::Dynamic, 1>, T> {
+ public:
+ Exporter(SEXP x) : IndexingExporter<Eigen::Array<T, Eigen::Dynamic, 1>, T >(x){}
+ };
+
+ template <typename T>
+ class Exporter< Eigen::Matrix<T, 1, Eigen::Dynamic> >
+ : public IndexingExporter< Eigen::Matrix<T, 1, Eigen::Dynamic>, T > {
+ public:
+ Exporter(SEXP x) : IndexingExporter< Eigen::Matrix<T, 1, Eigen::Dynamic>, T >(x){}
+ };
+
+ template <typename T>
+ class Exporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> >
+ : public MatrixExporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>, T > {
+ public:
+ Exporter(SEXP x) :
+ MatrixExporter< Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>, T >(x){}
+ };
- template <typename T>
- class Exporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> >
- : public MatrixExporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>, T > {
- public:
- Exporter(SEXP x) :
- MatrixExporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>, T >(x){}
- };
+ template <typename T>
+ class Exporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic> >
+ : public MatrixExporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>, T > {
+ public:
+ Exporter(SEXP x) :
+ MatrixExporter< Eigen::Array<T, Eigen::Dynamic, Eigen::Dynamic>, T >(x){}
+ };
- template<typename T>
- class Exporter<Eigen::MappedSparseMatrix<T> > {
- public:
- Exporter(SEXP x)
- : d_x(x), d_dims(d_x.slot("Dim")), d_i(d_x.slot("i")), d_p(d_x.slot("p")) {
- if (!d_x.is("CsparseMatrix"))
- throw std::invalid_argument("Need S4 class CsparseMatrix for an mapped sparse matrix");
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- SEXP xx = d_x.slot("x");
- if (TYPEOF(xx) != RTYPE)
- throw std::invalid_argument("Wrong R type for mapped sparse matrix");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
- }
- Eigen::MappedSparseMatrix<T> get() {
- return Eigen::MappedSparseMatrix<T>(d_dims[0], d_dims[1], d_p[d_dims[1]],
- d_p.begin(), d_i.begin(), d_start);
- }
- protected:
- S4 d_x;
- T* d_start;
- IntegerVector d_dims, d_i, d_p;
- };
+ template<typename T>
+ class Exporter<Eigen::MappedSparseMatrix<T> > {
+ public:
+ Exporter(SEXP x)
+ : d_x(x), d_dims(d_x.slot("Dim")), d_i(d_x.slot("i")), d_p(d_x.slot("p")) {
+ if (!d_x.is("CsparseMatrix"))
+ throw std::invalid_argument("Need S4 class CsparseMatrix for an mapped sparse matrix");
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ SEXP xx = d_x.slot("x");
+ if (TYPEOF(xx) != RTYPE)
+ throw std::invalid_argument("Wrong R type for mapped sparse matrix");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
+ }
+ Eigen::MappedSparseMatrix<T> get() {
+ return Eigen::MappedSparseMatrix<T>(d_dims[0], d_dims[1], d_p[d_dims[1]],
+ d_p.begin(), d_i.begin(), d_start);
+ }
+ protected:
+ S4 d_x;
+ T* d_start;
+ IntegerVector d_dims, d_i, d_p;
+ };
- template<typename T>
- class Exporter<Eigen::SparseMatrix<T> > {
- public:
- Exporter(SEXP x)
- : d_x(x), d_dims(d_x.slot("Dim")), d_i(d_x.slot("i")), d_p(d_x.slot("p")) {
- if (!d_x.is("CsparseMatrix"))
- throw std::invalid_argument("Need S4 class CsparseMatrix for an mapped sparse matrix");
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- SEXP xx = d_x.slot("x");
- if (TYPEOF(xx) != RTYPE) // should coerce instead - see Rcpp/inst/include/Rcpp/internal/export.h
- throw std::invalid_argument("Wrong R type for sparse matrix");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
- }
- Eigen::SparseMatrix<T> get() {
- Eigen::SparseMatrix<T> ans(d_dims[0], d_dims[1]);
- ans.reserve(d_p[d_dims[1]]);
- for(int j = 0; j < d_dims[1]; ++j) {
- ans.startVec(j);
- for (int k = d_p[j]; k < d_p[j + 1]; ++k) ans.insertBack(d_i[k], j) = d_start[k];
- }
- ans.finalize();
- return ans;
- }
- protected:
- S4 d_x;
- T* d_start;
- IntegerVector d_dims, d_i, d_p;
- };
+ template<typename T>
+ class Exporter<Eigen::SparseMatrix<T> > {
+ public:
+ Exporter(SEXP x)
+ : d_x(x), d_dims(d_x.slot("Dim")), d_i(d_x.slot("i")), d_p(d_x.slot("p")) {
+ if (!d_x.is("CsparseMatrix"))
+ throw std::invalid_argument("Need S4 class CsparseMatrix for an mapped sparse matrix");
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ SEXP xx = d_x.slot("x");
+ if (TYPEOF(xx) != RTYPE) // should coerce instead - see Rcpp/inst/include/Rcpp/internal/export.h
+ throw std::invalid_argument("Wrong R type for sparse matrix");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
+ }
+ Eigen::SparseMatrix<T> get() {
+ Eigen::SparseMatrix<T> ans(d_dims[0], d_dims[1]);
+ ans.reserve(d_p[d_dims[1]]);
+ for(int j = 0; j < d_dims[1]; ++j) {
+ ans.startVec(j);
+ for (int k = d_p[j]; k < d_p[j + 1]; ++k) ans.insertBack(d_i[k], j) = d_start[k];
+ }
+ ans.finalize();
+ return ans;
+ }
+ protected:
+ S4 d_x;
+ T* d_start;
+ IntegerVector d_dims, d_i, d_p;
+ };
template<typename T>
- class Exporter<Eigen::SparseMatrix<T, Eigen::RowMajor> > {
- public:
- Exporter(SEXP x)
- : d_x(x), d_dims(d_x.slot("Dim")), d_j(d_x.slot("j")), d_p(d_x.slot("p")) {
- if (!d_x.is("dgRMatrix"))
- throw std::invalid_argument("Need S4 class dgRMatrix for a sparse matrix");
- const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
- SEXP xx = d_x.slot("x");
- if (TYPEOF(xx) != RTYPE) // should coerce instead - see Rcpp/inst/include/Rcpp/internal/export.h
- throw std::invalid_argument("Wrong R type for sparse matrix");
- typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
- d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
- }
- Eigen::SparseMatrix<T, Eigen::RowMajor> get() {
- Eigen::SparseMatrix<T, Eigen::RowMajor> ans(d_dims[0], d_dims[1]);
- ans.reserve(d_p[d_dims[0]]);
- for(int i = 0; i < d_dims[0]; ++i) {
- ans.startVec(i);
- for (int k = d_p[i]; k < d_p[i + 1]; ++k) ans.insertBack(i, d_j[k]) = d_start[k];
- }
- ans.finalize();
- return ans;
- }
- protected:
- S4 d_x;
- T* d_start;
- IntegerVector d_dims, d_j, d_p;
- };
+ class Exporter<Eigen::SparseMatrix<T, Eigen::RowMajor> > {
+ public:
+ Exporter(SEXP x)
+ : d_x(x), d_dims(d_x.slot("Dim")), d_j(d_x.slot("j")), d_p(d_x.slot("p")) {
+ if (!d_x.is("dgRMatrix"))
+ throw std::invalid_argument("Need S4 class dgRMatrix for a sparse matrix");
+ const int RTYPE = ::Rcpp::traits::r_sexptype_traits<T>::rtype ;
+ SEXP xx = d_x.slot("x");
+ if (TYPEOF(xx) != RTYPE) // should coerce instead - see Rcpp/inst/include/Rcpp/internal/export.h
+ throw std::invalid_argument("Wrong R type for sparse matrix");
+ typedef typename ::Rcpp::traits::storage_type<RTYPE>::type STORAGE;
+ d_start = ::Rcpp::internal::r_vector_start<RTYPE,STORAGE>(xx);
+ }
+ Eigen::SparseMatrix<T, Eigen::RowMajor> get() {
+ Eigen::SparseMatrix<T, Eigen::RowMajor> ans(d_dims[0], d_dims[1]);
+ ans.reserve(d_p[d_dims[0]]);
+ for(int i = 0; i < d_dims[0]; ++i) {
+ ans.startVec(i);
+ for (int k = d_p[i]; k < d_p[i + 1]; ++k) ans.insertBack(i, d_j[k]) = d_start[k];
+ }
+ ans.finalize();
+ return ans;
+ }
+ protected:
+ S4 d_x;
+ T* d_start;
+ IntegerVector d_dims, d_j, d_p;
+ };
} // namespace traits
}
Modified: pkg/RcppEigen/inst/tests/test-wrap.R
===================================================================
--- pkg/RcppEigen/inst/tests/test-wrap.R 2012-07-27 18:26:17 UTC (rev 3720)
+++ pkg/RcppEigen/inst/tests/test-wrap.R 2012-07-27 18:28:01 UTC (rev 3721)
@@ -68,18 +68,18 @@
// during execution of the code. A MatrixX<T> object can be resized to have
// a different number of columns. A VectorX<T> object cannot.
-List cols = List::create(Named("Col<complex>", cdMat::Zero(5, 1)),
+ List cols = List::create(Named("Col<complex>", cdMat::Zero(5, 1)),
Named("Col<double>", Mat::Zero(5, 1)),
Named("Col<float>", fMat::Zero(5, 1)),
Named("Col<int>", iMat::Zero(5, 1))
);
- List rows = List::create(
- _["Row<complex>"] = Eigen::RowVectorXcd::Zero(5),
- _["Row<double>"] = Eigen::RowVectorXd::Zero(5),
- _["Row<float>"] = Eigen::RowVectorXf::Zero(5),
- _["Row<int>"] = Eigen::RowVectorXi::Zero(5)
- );
+// List rows = List::create(
+// _["Row<complex>"] = Eigen::RowVectorXcd::Zero(5),
+// _["Row<double>"] = Eigen::RowVectorXd::Zero(5),
+// _["Row<float>"] = Eigen::RowVectorXf::Zero(5),
+// _["Row<int>"] = Eigen::RowVectorXi::Zero(5)
+// );
List matrices = List::create(
_["Mat<complex>"] = Eigen::MatrixXcd::Identity(3, 3),
@@ -119,7 +119,7 @@
List output = List::create(
_["vectors : VectorX<T>"] = vecs,
_["matrices : MatrixX<T>"] = matrices,
- _["rows : RowVectorX<T>"] = rows,
+// _["rows : RowVectorX<T>"] = rows,
_["columns : MatrixX<T>"] = cols,
_["arrays2d : ArrayXX<T>"] = arrays2,
_["arrays1d : ArrayX<T>"] = arrays1,
@@ -170,33 +170,33 @@
expect_that(res[[2]][[3]], equals(diag(nr=3L)))
expect_that(res[[2]][[4]], equals(matrix(as.integer((diag(nr=3L))),nr=3L)))
- expect_that(res[[3]][[1]], equals(matrix(complex(5), nr=1L)))
- expect_that(res[[3]][[2]], equals(matrix(numeric(5), nr=1L)))
- expect_that(res[[3]][[3]], equals(matrix(numeric(5), nr=1L)))
- expect_that(res[[3]][[4]], equals(matrix(integer(5), nr=1L)))
+# expect_that(res[[3]][[1]], equals(matrix(complex(5), nr=1L)))
+# expect_that(res[[3]][[1]], equals(matrix(numeric(5), nr=1L)))
+# expect_that(res[[3]][[2]], equals(matrix(numeric(5), nr=1L)))
+# expect_that(res[[3]][[3]], equals(matrix(integer(5), nr=1L)))
- expect_that(res[[4]][[1]], equals(as.matrix(complex(5))))
- expect_that(res[[4]][[2]], equals(as.matrix(numeric(5))))
- expect_that(res[[4]][[3]], equals(as.matrix(numeric(5))))
- expect_that(res[[4]][[4]], equals(as.matrix(integer(5))))
+ expect_that(res[[3]][[1]], equals(as.matrix(complex(5))))
+ expect_that(res[[3]][[2]], equals(as.matrix(numeric(5))))
+ expect_that(res[[3]][[3]], equals(as.matrix(numeric(5))))
+ expect_that(res[[3]][[4]], equals(as.matrix(integer(5))))
- expect_that(res[[5]][[1]], equals(matrix(complex(9L), nc=3L)))
- expect_that(res[[5]][[2]], equals(matrix(numeric(9L), nc=3L)))
- expect_that(res[[5]][[3]], equals(matrix(numeric(9L), nc=3L)))
- expect_that(res[[5]][[4]], equals(matrix(integer(9L), nc=3L)))
+ expect_that(res[[4]][[1]], equals(matrix(complex(9L), nc=3L)))
+ expect_that(res[[4]][[2]], equals(matrix(numeric(9L), nc=3L)))
+ expect_that(res[[4]][[3]], equals(matrix(numeric(9L), nc=3L)))
+ expect_that(res[[4]][[4]], equals(matrix(integer(9L), nc=3L)))
- expect_that(res[[6]][[1]], equals(complex(5)))
- expect_that(res[[6]][[2]], equals(double(5)))
- expect_that(res[[6]][[3]], equals(double(5)))
- expect_that(res[[6]][[4]], equals(integer(5)))
+ expect_that(res[[5]][[1]], equals(complex(5)))
+ expect_that(res[[5]][[2]], equals(double(5)))
+ expect_that(res[[5]][[3]], equals(double(5)))
+ expect_that(res[[5]][[4]], equals(integer(5)))
oneTen <- seq(1, 10, length.out=6L)
- expect_that(res[[7]][[1]], equals(oneTen))
- expect_that(res[[7]][[2]], equals(log(oneTen)))
- expect_that(res[[7]][[3]], equals(exp(oneTen)))
- expect_that(res[[7]][[4]], equals(sqrt(oneTen)))
- expect_that(res[[7]][[5]], equals(cos(oneTen)))
+ expect_that(res[[6]][[1]], equals(oneTen))
+ expect_that(res[[6]][[2]], equals(log(oneTen)))
+ expect_that(res[[6]][[3]], equals(exp(oneTen)))
+ expect_that(res[[6]][[4]], equals(sqrt(oneTen)))
+ expect_that(res[[6]][[5]], equals(cos(oneTen)))
})
res <- .rcppeigen.wrap$as_Vec(list(1:10, as.numeric(1:10)))
Modified: pkg/RcppEigen/inst/unitTests/runit.RcppEigen.R
===================================================================
--- pkg/RcppEigen/inst/unitTests/runit.RcppEigen.R 2012-07-27 18:26:17 UTC (rev 3720)
+++ pkg/RcppEigen/inst/unitTests/runit.RcppEigen.R 2012-07-27 18:28:01 UTC (rev 3721)
@@ -26,7 +26,7 @@
fx <- cxxfunction( , '
List vecs = List::create(
-// _["Vec<complex>"] = Eigen::VectorXcd::Zero(5),
+ _["Vec<complex>"] = Eigen::VectorXcd::Zero(5),
_["Vec<double>"] = Eigen::VectorXd::Zero(5),
_["Vec<float>"] = Eigen::VectorXf::Zero(5),
_["Vec<int>"] = Eigen::VectorXi::Zero(5)
@@ -39,7 +39,7 @@
// during execution of the code. A MatrixX<T> object can be resized to have
// a different number of columns. A VectorX<T> object cannot.
List cols = List::create(
-// _["Col<complex>"] = Eigen::MatrixXcd::Zero(5, 1),
+ _["Col<complex>"] = Eigen::MatrixXcd::Zero(5, 1),
_["Col<double>"] = Eigen::MatrixXd::Zero(5, 1),
_["Col<float>"] = Eigen::MatrixXf::Zero(5, 1),
_["Col<int>"] = Eigen::MatrixXi::Zero(5, 1)
@@ -53,7 +53,7 @@
// );
List matrices = List::create(
-// _["Mat<complex>"] = Eigen::MatrixXcd::Identity(3, 3),
+ _["Mat<complex>"] = Eigen::MatrixXcd::Identity(3, 3),
_["Mat<double>"] = Eigen::MatrixXd::Identity(3, 3),
_["Mat<float>"] = Eigen::MatrixXf::Identity(3, 3),
_["Mat<int>"] = Eigen::MatrixXi::Identity(3, 3)
@@ -63,7 +63,7 @@
// componentwise arithmetic. A * B is matrix multiplication for
// matrices and componentwise multiplication for arrays.
List arrays2 = List::create(
-// _["Arr2<complex>"] = Eigen::ArrayXXcd::Zero(3, 3),
+ _["Arr2<complex>"] = Eigen::ArrayXXcd::Zero(3, 3),
_["Arr2<double>"] = Eigen::ArrayXXd::Zero(3, 3),
_["Arr2<float>"] = Eigen::ArrayXXf::Zero(3, 3),
_["Arr2<int>"] = Eigen::ArrayXXi::Zero(3, 3)
@@ -73,7 +73,7 @@
// but allow componentwise arithmetic, including functions like exp, log,
// sqrt, ...
List arrays1 = List::create(
-// _["Arr1<complex>"] = Eigen::ArrayXcd::Zero(5),
+ _["Arr1<complex>"] = Eigen::ArrayXcd::Zero(5),
_["Arr1<double>"] = Eigen::ArrayXd::Zero(5),
_["Arr1<float>"] = Eigen::ArrayXf::Zero(5),
_["Arr1<int>"] = Eigen::ArrayXi::Zero(5)
@@ -102,35 +102,35 @@
res <- fx()
-## checkEquals( res[[1]][[1]], complex(5), msg = "VectorXcd::Zero(5)")
- checkEquals( res[[1]][[1]], double(5), msg = "VectorXd::Zero(5)")
- checkEquals( res[[1]][[2]], double(5), msg = "VectorXf::Zero(5)")
- checkEquals( res[[1]][[3]], integer(5), msg = "VectorXi::Zero(5)")
+ checkEquals( res[[1]][[1]], complex(5), msg = "VectorXcd::Zero(5)")
+ checkEquals( res[[1]][[2]], double(5), msg = "VectorXd::Zero(5)")
[TRUNCATED]
To get the complete diff run:
svnlook diff /svnroot/rcpp -r 3721
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