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#ifdef NERV_GENERIC_MMATRIX
#include "matrix.h"
#include "elem_type.h"
#define MATRIX_DATA_FREE(L, ptr) free(ptr)
#define MATRIX_DATA_ALLOC(L, dptr, stride, width, height) \
host_matrix_(alloc)(L, dptr, stride, width, height)
#define MATRIX_DATA_WRITE(L, data, idx, val) (data[idx] = val)
#define MATRIX_DATA_READ(L, data, idx) (data[idx])
#define MATRIX_INIT(L) host_matrix_(init)(L)
#define MATRIX_BASE_TNAME nerv_matrix_host_tname
#define NERV_GENERIC_MATRIX
#include "../../common.h"
#include "../../io/chunk_file.h"
#include "string.h"
static void host_matrix_(alloc)(lua_State *L,
MATRIX_ELEM **dptr, size_t *stride,
long width, long height) {
if ((*dptr = (MATRIX_ELEM *)malloc(width * height)) == NULL)
nerv_error(L, "mmatrix insufficient memory");
*stride = width;
}
int nerv_matrix_(get_elem)(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
int idx = luaL_checkinteger(L, 2);
if (idx < 0 || idx >= self->nmax)
nerv_error(L, "index must be within range [0, %d)", self->nmax);
lua_pushnumber(L, MATRIX_ELEM_PTR(self)[idx]);
return 1;
}
int nerv_matrix_(set_elem)(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
int idx = luaL_checkinteger(L, 2);
MATRIX_ELEM v = luaL_checknumber(L, 3);
if (idx < 0 || idx >= self->nmax)
nerv_error(L, "index must be within range [0, %d)", self->nmax);
MATRIX_ELEM_PTR(self)[idx] = v;
return 0;
}
static const luaL_Reg nerv_matrix_(extra_methods)[];
static void host_matrix_(init)(lua_State *L) {
luaN_append_methods(L, nerv_matrix_(extra_methods));
}
#include "matrix.c"
int nerv_matrix_(load)(lua_State *L) {
ChunkData *chunk = luaT_checkudata(L, 1, nerv_chunk_data_tname);
Matrix *self;
int i, j;
long nrow, ncol;
FILE *fp = chunk->fp;
if (fscanf(fp, "%ld %ld", &nrow, &ncol) != 2)
return 0;
self = nerv_matrix_(new_)(L, nrow, ncol);
for (i = 0; i < nrow; i++)
{
MATRIX_ELEM *row = MATRIX_ROW_PTR(self, i);
for (j = 0; j < ncol; j++)
if (fscanf(fp, MATRIX_ELEM_FMT, row + j) != 1)
{
free(self);
return 0;
}
}
luaT_pushudata(L, self, nerv_matrix_(tname));
return 1;
}
int nerv_matrix_(save)(lua_State *L) {
ChunkFileHandle *chunk = luaT_checkudata(L, 2,
nerv_chunk_file_handle_tname);
Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
int i, j;
long nrow = self->nrow, ncol = self->ncol;
FILE *fp = chunk->fp;
if (fprintf(fp, "%ld %ld\n", nrow, ncol) < 0)
return 0;
for (i = 0; i < nrow; i++)
{
MATRIX_ELEM *row = MATRIX_ROW_PTR(self, i);
for (j = 0; j < ncol; j++)
if (fprintf(fp, MATRIX_ELEM_FMT " ", row[j]) < 0)
{
free(self);
return 0;
}
if (fprintf(fp, "\n") < 0)
{
free(self);
return 0;
}
}
return 0;
}
static int nerv_matrix_(copy_from)(lua_State *L) {
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
int nargs = lua_gettop(L);
int b_begin = nargs > 2 ? luaL_checkinteger(L, 3) : 0;
int b_end = nargs > 3 ? luaL_checkinteger(L, 4) : b->nrow;
int a_begin = nargs > 4 ? luaL_checkinteger(L, 5) : 0;
if (!(0 <= b_begin && b_begin < b_end && b_end <= b->nrow &&
a_begin + b_end - b_begin <= a->nrow))
nerv_error(L, "invalid copy interval");
if (a->ncol != b->ncol)
nerv_error(L, "matrices should be of the same dimension");
memmove(MATRIX_ROW_PTR(a, a_begin),
MATRIX_ROW_PTR(b, b_begin),
sizeof(MATRIX_ELEM) * b->ncol * (b_end - b_begin));
return 0;
}
static const luaL_Reg nerv_matrix_(extra_methods)[] = {
{"load", nerv_matrix_(load)},
{"save", nerv_matrix_(save)},
{"copy_from", nerv_matrix_(copy_from)},
{NULL, NULL}
};
#endif
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