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Copy pathsparse.c
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1011 lines (943 loc) · 30 KB
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//allocates memory to the given sparse matrix object
VALUE nm_sparse_alloc(VALUE klass)
{
csr_nmatrix* mat = ALLOC(csr_nmatrix);
return Data_Wrap_Struct(klass, NULL, nm_free, mat);
}
//frees the memeory allocated to the given sparse matrix object
void nm_sparse_free(csr_nmatrix* mat){
xfree(mat);
}
//initializes the sparse matrix of type COO
//with given elements values
//and having given dimensions
VALUE coo_sparse_nmatrix_init(int argc, VALUE* argv){
sparse_nmatrix* mat = ALLOC(sparse_nmatrix);
if(argc > 0){
mat->ndims = 2;
mat->count = 1;
mat->shape = ALLOC_N(size_t, mat->ndims);
for (size_t index = 0; index < mat->ndims; index++) {
mat->shape[index] = (size_t)FIX2LONG(RARRAY_AREF(argv[0], index));
mat->count *= mat->shape[index];
}
mat->dtype = nm_dtype_from_rbsymbol(argv[4]);
mat->sptype = coo;
mat->coo = ALLOC(coo_nmatrix);
mat->coo->count = (size_t)RARRAY_LEN(argv[1]);
mat->coo->ia = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[2]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[2]); index++) {
mat->coo->ia[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[2], index));
}
mat->coo->ja = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[3]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[3]); index++) {
mat->coo->ja[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[3], index));
}
switch(mat->dtype){
case nm_bool:
{
bool* elements = ALLOC_N(bool, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (bool)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->coo->elements = elements;
break;
}
case nm_int:
{
int* elements = ALLOC_N(int, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (int)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->coo->elements = elements;
break;
}
case nm_float32:
{
float* elements = ALLOC_N(float, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (float)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->coo->elements = elements;
break;
}
case nm_float64:
{
double* elements = ALLOC_N(double, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (double)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->coo->elements = elements;
break;
}
case nm_complex32:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLXF(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->coo->elements = elements;
break;
}
case nm_complex64:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLX(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->coo->elements = elements;
break;
}
}
}
return Data_Wrap_Struct(SparseNMatrix, NULL, nm_free, mat);
}
//initializes the sparse matrix of type CSR
//with given elements values
//and having given dimensions
VALUE csr_sparse_nmatrix_init(int argc, VALUE* argv){
sparse_nmatrix* mat = ALLOC(sparse_nmatrix);
if(argc > 0){
mat->ndims = 2;
mat->count = 1;
mat->shape = ALLOC_N(size_t, mat->ndims);
for (size_t index = 0; index < mat->ndims; index++) {
mat->shape[index] = (size_t)FIX2LONG(RARRAY_AREF(argv[0], index));
mat->count *= mat->shape[index];
}
mat->dtype = nm_dtype_from_rbsymbol(argv[4]);
mat->sptype = csr;
mat->csr = ALLOC(csr_nmatrix);
mat->csr->count = (size_t)RARRAY_LEN(argv[1]);
mat->csr->ia = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[2]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[2]); index++) {
mat->csr->ia[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[2], index));
}
mat->csr->ja = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[3]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[3]); index++) {
mat->csr->ja[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[3], index));
}
switch(mat->dtype){
case nm_bool:
{
bool* elements = ALLOC_N(bool, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (bool)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csr->elements = elements;
break;
}
case nm_int:
{
int* elements = ALLOC_N(int, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (int)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csr->elements = elements;
break;
}
case nm_float32:
{
float* elements = ALLOC_N(float, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (float)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csr->elements = elements;
break;
}
case nm_float64:
{
double* elements = ALLOC_N(double, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (double)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csr->elements = elements;
break;
}
case nm_complex32:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLXF(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->csr->elements = elements;
break;
}
case nm_complex64:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLX(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->csr->elements = elements;
break;
}
}
}
return Data_Wrap_Struct(SparseNMatrix, NULL, nm_free, mat);
}
//initializes the sparse matrix of type CSC
//with given elements values
//and having given dimensions
VALUE csc_sparse_nmatrix_init(int argc, VALUE* argv){
sparse_nmatrix* mat = ALLOC(sparse_nmatrix);
if(argc > 0){
mat->ndims = 2;
mat->count = 1;
mat->shape = ALLOC_N(size_t, mat->ndims);
for (size_t index = 0; index < mat->ndims; index++) {
mat->shape[index] = (size_t)FIX2LONG(RARRAY_AREF(argv[0], index));
mat->count *= mat->shape[index];
}
mat->dtype = nm_dtype_from_rbsymbol(argv[4]);
mat->sptype = csc;
mat->csc = ALLOC(csc_nmatrix);
mat->csc->count = (size_t)RARRAY_LEN(argv[1]);
mat->csc->ia = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[2]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[2]); index++) {
mat->csc->ia[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[2], index));
}
mat->csc->ja = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[3]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[3]); index++) {
mat->csc->ja[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[3], index));
}
switch(mat->dtype){
case nm_bool:
{
bool* elements = ALLOC_N(bool, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (bool)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csc->elements = elements;
break;
}
case nm_int:
{
int* elements = ALLOC_N(int, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (int)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csc->elements = elements;
break;
}
case nm_float32:
{
float* elements = ALLOC_N(float, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (float)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csc->elements = elements;
break;
}
case nm_float64:
{
double* elements = ALLOC_N(double, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (double)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->csc->elements = elements;
break;
}
case nm_complex32:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLXF(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->csc->elements = elements;
break;
}
case nm_complex64:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLX(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->csc->elements = elements;
break;
}
}
}
return Data_Wrap_Struct(SparseNMatrix, NULL, nm_free, mat);
}
//initializes the sparse matrix of type Dia
//with given elements values
//and having given dimensions
VALUE dia_sparse_nmatrix_init(int argc, VALUE* argv){
sparse_nmatrix* mat = ALLOC(sparse_nmatrix);
if(argc > 0){
mat->ndims = 2;
mat->count = 1;
mat->shape = ALLOC_N(size_t, mat->ndims);
for (size_t index = 0; index < mat->ndims; index++) {
mat->shape[index] = (size_t)FIX2LONG(RARRAY_AREF(argv[0], index));
mat->count *= mat->shape[index];
}
mat->dtype = nm_dtype_from_rbsymbol(argv[3]);
mat->sptype = dia;
mat->diag = ALLOC(diag_nmatrix);
mat->diag->count = (size_t)RARRAY_LEN(argv[1]);
mat->diag->offset = ALLOC_N(size_t, (size_t)RARRAY_LEN(argv[2]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[2]); index++) {
mat->diag->offset[index] = (size_t)NUM2ULL(RARRAY_AREF(argv[2], index));
}
switch(mat->dtype){
case nm_bool:
{
bool* elements = ALLOC_N(bool, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (bool)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->diag->elements = elements;
break;
}
case nm_int:
{
int* elements = ALLOC_N(int, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (int)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->diag->elements = elements;
break;
}
case nm_float32:
{
float* elements = ALLOC_N(float, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (float)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->diag->elements = elements;
break;
}
case nm_float64:
{
double* elements = ALLOC_N(double, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
elements[index] = (double)NUM2DBL(RARRAY_AREF(argv[1], index));
}
mat->diag->elements = elements;
break;
}
case nm_complex32:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLXF(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->diag->elements = elements;
break;
}
case nm_complex64:
{
float complex* elements = ALLOC_N(float complex, (size_t)RARRAY_LEN(argv[1]));
for (size_t index = 0; index < (size_t)RARRAY_LEN(argv[1]); index++) {
VALUE z = RARRAY_AREF(argv[1], index);
elements[index] = CMPLX(NUM2DBL(rb_funcall(z, rb_intern("real"), 0, Qnil)), NUM2DBL(rb_funcall(z, rb_intern("imaginary"), 0, Qnil)));
}
mat->diag->elements = elements;
break;
}
}
}
return Data_Wrap_Struct(SparseNMatrix, NULL, nm_free, mat);
}
//return the dtype of given sparse matrix
VALUE nm_sparse_get_dtype(VALUE self){
sparse_nmatrix* spmat;
Data_Get_Struct(self, sparse_nmatrix, spmat);
return rb_str_new_cstr(DTYPE_NAMES[spmat->dtype]);
}
//return shape of given sparse matrix
VALUE nm_sparse_get_shape(VALUE self){
sparse_nmatrix* input;
Data_Get_Struct(self, sparse_nmatrix, input);
VALUE* array = ALLOC_N(VALUE, input->ndims);
for (size_t index = 0; index < input->ndims; index++){
array[index] = LONG2NUM(input->shape[index]);
}
return rb_ary_new4(input->ndims, array);
}
//converts given sparse matrix to a flat list of elements
VALUE nm_sparse_to_array(VALUE self){
sparse_nmatrix* input;
Data_Get_Struct(self, sparse_nmatrix, input);
size_t count = input->count;
VALUE* array = ALLOC_N(VALUE, input->count);
void* elements_t;
switch (input->dtype) {
case nm_bool:
{
elements_t = ALLOC_N(bool, count);
break;
}
case nm_int:
{
elements_t = ALLOC_N(int, count);
break;
}
case nm_float32:
{
elements_t = ALLOC_N(float, count);
break;
}
case nm_float64:
{
elements_t = ALLOC_N(double, count);
break;
}
case nm_complex32:
{
elements_t = ALLOC_N(float complex, count);
break;
}
case nm_complex64:
{
elements_t = ALLOC_N(double complex, count);
break;
}
}
switch (input->sptype) {
case coo:
{
get_dense_from_coo(input->coo->elements,
input->shape[0],
input->shape[1],
input->coo->ia,
input->coo->ja,
elements_t, input->dtype);
break;
}
case csc:
{
get_dense_from_csc(input->csc->elements,
input->shape[0],
input->shape[1],
input->csc->ia,
input->csc->ja,
elements_t, nm_float64);
break;
}
case csr:
{
get_dense_from_csr(input->csr->elements,
input->shape[0],
input->shape[1],
input->csr->ia,
input->csr->ja,
elements_t, nm_float64);
break;
}
case dia:
{
get_dense_from_dia(input->diag->elements,
input->shape[0],
input->shape[1],
input->diag->offset,
elements_t, nm_float64);
break;
}
}
switch (input->dtype) {
case nm_bool:
{
bool* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = elements[index] ? Qtrue : Qfalse;
}
break;
}
case nm_int:
{
int* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = INT2NUM(elements[index]);
}
break;
}
case nm_float32:
{
float* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = DBL2NUM(elements[index]);
}
break;
}
case nm_float64:
{
double* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = DBL2NUM(elements[index]);
}
break;
}
case nm_complex32:
{
float complex* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = rb_complex_new(DBL2NUM(creal(elements[index])), DBL2NUM(cimag(elements[index])));
}
break;
}
case nm_complex64:
{
double complex* elements = elements_t;
for (size_t index = 0; index < count; index++){
array[index] = rb_complex_new(DBL2NUM(creal(elements[index])), DBL2NUM(cimag(elements[index])));
}
break;
}
}
return rb_ary_new4(count, array);
}
//converts given sparse matrix to NMatrix object (dense)
//calls particular function for conversion depending
//on the type of sparse matrix
VALUE nm_sparse_to_nmatrix(VALUE self){
sparse_nmatrix* input;
Data_Get_Struct(self, sparse_nmatrix, input);
nmatrix* result = ALLOC(nmatrix);
result->dtype = input->dtype;
result->stype = nm_dense;
result->ndims = input->ndims;
result->shape = ALLOC_N(size_t, result->ndims);
result->shape[0] = input->shape[0];
result->shape[1] = input->shape[1];
result->count = input->count;
void* elements_t;
switch (input->dtype) {
case nm_bool:
{
elements_t = ALLOC_N(bool, result->count);
break;
}
case nm_int:
{
elements_t = ALLOC_N(int, result->count);
break;
}
case nm_float32:
{
elements_t = ALLOC_N(float, result->count);
break;
}
case nm_float64:
{
elements_t = ALLOC_N(double, result->count);
break;
}
case nm_complex32:
{
elements_t = ALLOC_N(float complex, result->count);
break;
}
case nm_complex64:
{
elements_t = ALLOC_N(double complex, result->count);
break;
}
}
switch (input->sptype) {
case coo:
{
get_dense_from_coo(input->coo->elements,
input->shape[0],
input->shape[1],
input->coo->ia,
input->coo->ja,
elements_t, input->dtype);
result->elements = elements_t;
break;
}
case csc:
{
get_dense_from_csc(input->csc->elements,
input->shape[0],
input->shape[1],
input->csc->ia,
input->csc->ja,
elements_t, nm_float64);
result->elements = elements_t;
break;
}
case csr:
{
get_dense_from_csr(input->csr->elements,
input->shape[0],
input->shape[1],
input->csr->ia,
input->csr->ja,
elements_t, nm_float64);
result->elements = elements_t;
break;
}
case dia:
{
get_dense_from_dia(input->diag->elements,
input->shape[0],
input->shape[1],
input->diag->offset,
elements_t, nm_float64);
result->elements = elements_t;
break;
}
}
return Data_Wrap_Struct(NMatrix, NULL, nm_free, result);
}
//extracts elements from coo type sparse matrix
//called by nm_sparse_to_nmatrix to get elements list
void get_dense_from_coo(const void* data_t, const size_t rows,
const size_t cols, const size_t* ia,
const size_t* ja, void* elements_t, nm_dtype elements_dtype){
switch (elements_dtype) {
case nm_bool:
{
const bool* data = data_t;
bool* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_int:
{
const const int* data = data_t;
int* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float32:
{
const float* data = data_t;
float* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float64:
{
const double* data = data_t;
double* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex32:
{
const float complex* data = data_t;
float complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex64:
{
const double complex* data = data_t;
double complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
}
}
//extracts elements from csc type sparse matrix
//called by nm_sparse_to_nmatrix to get elements list
void get_dense_from_csc(const void* data_t, const size_t rows,
const size_t cols, const size_t* ia,
const size_t* ja, void* elements_t, nm_dtype elements_dtype){
switch (elements_dtype) {
case nm_bool:
{
const bool* data = data_t;
bool* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_int:
{
const int* data = data_t;
int* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float32:
{
const float* data = data_t;
float* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float64:
{
const double* data = data_t;
double* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex32:
{
const float complex* data = data_t;
float complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex64:
{
const double complex* data = data_t;
double complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
}
}
//extracts elements from csr type sparse matrix
//called by nm_sparse_to_nmatrix to get elements list
void get_dense_from_csr(const void* data_t, const size_t rows,
const size_t cols, const size_t* ia,
const size_t* ja, void* elements_t, nm_dtype elements_dtype){
switch (elements_dtype) {
case nm_bool:
{
const bool* data = data_t;
bool* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_int:
{
const int* data = data_t;
int* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float32:
{
const float* data = data_t;
float* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_float64:
{
const double* data = data_t;
double* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex32:
{
const float complex* data = data_t;
float complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
case nm_complex64:
{
const double complex* data = data_t;
double complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
for(size_t j = 0; j < ia[i] - ia[i - 1]; ++j){
elements[(i-1)*cols + ja[index]] = data[index];
index++;
}
}
break;
}
}
}
//extracts elements from dia type sparse matrix
//called by nm_sparse_to_nmatrix to get elements list
void get_dense_from_dia(const void* data_t, const size_t rows,
const size_t cols, const size_t* offset,
void* elements_t, nm_dtype elements_dtype){
//TODO: complete this fuction
switch (elements_dtype) {
case nm_bool:
{
const bool* data = data_t;
bool* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
data[index];//TODO: fix this
}
break;
}
case nm_int:
{
const int* data = data_t;
int* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
data[index];//TODO: fix this
}
break;
}
case nm_float32:
{
const float* data = data_t;
float* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
data[index];//TODO: fix this
}
break;
}
case nm_float64:
{
const double* data = data_t;
double* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
data[index];//TODO: fix this
}
break;
}
case nm_complex32:
{
const float complex* data = data_t;
float complex* elements = elements_t;
for(size_t i = 0; i < rows*cols; ++i){ elements[i] = 0; }
size_t index = 0;
for(size_t i = 1; i < rows + 1; ++i){
data[index];//TODO: fix this
}
break;
}
case nm_complex64:
{
const double complex* data = data_t;