mat: rowset() and columnset()
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@@ -296,7 +296,7 @@ static void multiput(size_t n, int fd, const std::complex<C> *x, bool dimensions
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}
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while(total < n);
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}
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static void copy(std::complex<C> *dest, std::complex<C> *src, size_t n) {memcpy(dest,src,n*sizeof(std::complex<C>));}
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static void copy(std::complex<C> *dest, const std::complex<C> *src, size_t n) {memcpy(dest,src,n*sizeof(std::complex<C>));}
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static void clear(std::complex<C> *dest, size_t n) {memset(dest,0,n*sizeof(std::complex<C>));}
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static void copyonwrite(std::complex<C> &x) {};
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static bool is_plaindata() {return true;}
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@@ -356,7 +356,7 @@ static void multiput(size_t n, int fd, const C *x, bool dimensions=0)
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}
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while(total < n);
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}
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static void copy(C *dest, C *src, size_t n) {memcpy(dest,src,n*sizeof(C));}
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static void copy(C *dest, const C *src, size_t n) {memcpy(dest,src,n*sizeof(C));}
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static void clear(C *dest, size_t n) {memset(dest,0,n*sizeof(C));}
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static void copyonwrite(C &x) {};
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static bool is_plaindata() {return true;}
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@@ -396,7 +396,7 @@ static void put(int fd, const X<C> &x, bool dimensions=1, bool transp=0, bool or
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static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.get(fd,dimensions,transp,orcaformat);} \
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static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions,false,orcaformat);} \
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static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions,false,orcaformat);} \
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static void copy(X<C> *dest, X<C> *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
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static void copy(X<C> *dest, const X<C> *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
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static void clear(X<C> *dest, size_t n) {for(size_t i=0; i<n; ++i) dest[i].clear();}\
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static void copyonwrite(X<C> &x) {x.copyonwrite();}\
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static bool is_plaindata() {return false;}\
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@@ -439,7 +439,7 @@ static void put(int fd, const X<C> &x, bool dimensions=1, bool transp=0, bool or
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static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.get(fd,dimensions,false,orcaformat);} \
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static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions,false,orcaformat);} \
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static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions,false,orcaformat);} \
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static void copy(C *dest, C *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
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static void copy(C *dest, const C *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
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static void clear(C *dest, size_t n) {for(size_t i=0; i<n; ++i) dest[i].clear();} \
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static void copyonwrite(X<C> &x) {x.copyonwrite();} \
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static bool is_plaindata() {return false;}\
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23
mat.cc
23
mat.cc
@@ -113,6 +113,29 @@ const NRVec<T> NRMat<T>::row(const int i, int l) const {
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return r;
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}
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/***************************************************************************//**
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* store given row of this matrix of general type <code>T</code>
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* @param[in] i row index starting from zero
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* @param[in] l consider this value as the count of columns
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******************************************************************************/
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template <typename T>
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void NRMat<T>::rowset(const NRVec<T> &r, const int i, int l) {
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#ifdef DEBUG
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if(i < 0 || i >= nn) laerror("illegal index");
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#endif
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if(l < 0) l = mm;
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LA_traits<T>::copy(
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#ifdef MATPTR
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v[i]
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#else
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v + i*(size_t)l
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#endif
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, &r[0], l);
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}
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/***************************************************************************//**
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* routine for raw output
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* @param[in] fd file descriptor for output
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10
mat.h
10
mat.h
@@ -266,6 +266,9 @@ public:
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//! get the i<sup>th</sup> row
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const NRVec<T> row(const int i, int l = -1) const;
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//! set the i<sup>th</sup> row
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void rowset(const NRVec<T> &r, const int i, int l = -1);
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//! get the j<sup>th</sup> column
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const NRVec<T> column(const int j, int l = -1) const {
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NOT_GPU(*this);
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@@ -275,6 +278,13 @@ public:
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return r;
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};
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//! set the j<sup>th</sup> column
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void columnset(const NRVec<T> &r, const int j, int l = -1) {
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NOT_GPU(*this);
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if(l < 0) l = nn;
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for(register int i=0; i<l; ++i) (*this)(i,j) = r[i];
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};
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//! extract the digonal elements of this matrix and store them into a vector
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const T* diagonalof(NRVec<T> &, const bool divide = 0, bool cache = false) const;
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//! set diagonal elements
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