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-rw-r--r--nerv/matrix/mmatrix.c77
1 files changed, 77 insertions, 0 deletions
diff --git a/nerv/matrix/mmatrix.c b/nerv/matrix/mmatrix.c
new file mode 100644
index 0000000..d1d68b9
--- /dev/null
+++ b/nerv/matrix/mmatrix.c
@@ -0,0 +1,77 @@
+#define NERV_GENERIC_MMATRIX
+#include <stdlib.h>
+#include "../common.h"
+void nerv_matrix_host_float_init(lua_State *L);
+void nerv_matrix_host_double_init(lua_State *L);
+void nerv_matrix_host_int_init(lua_State *L);
+
+void nerv_mmatrix_init(lua_State *L) {
+ srand(1);
+ nerv_matrix_host_float_init(L);
+ nerv_matrix_host_double_init(L);
+ nerv_matrix_host_int_init(L);
+}
+
+#define MATRIX_USE_FLOAT
+#define host_matrix_(NAME) host_matrix_float_##NAME
+#define nerv_matrix_(NAME) nerv_matrix_host_float_##NAME
+const char *nerv_matrix_(tname) = "nerv.MMatrixFloat";
+#include "generic/mmatrix.c"
+#undef nerv_matrix_
+#undef host_matrix_
+#undef MATRIX_USE_FLOAT
+#undef MATRIX_ELEM
+#undef MATRIX_ELEM_PTR
+#undef MATRIX_ELEM_FMT
+#undef MATRIX_ELEM_WRITE_FMT
+
+#define NERV_GENERIC_MMATRIX
+#define MATRIX_USE_DOUBLE
+#define host_matrix_(NAME) host_matrix_double_##NAME
+#define nerv_matrix_(NAME) nerv_matrix_host_double_##NAME
+const char *nerv_matrix_(tname) = "nerv.MMatrixDouble";
+#include "generic/mmatrix.c"
+#undef nerv_matrix_
+#undef host_matrix_
+#undef MATRIX_USE_DOUBLE
+#undef MATRIX_ELEM
+#undef MATRIX_ELEM_PTR
+#undef MATRIX_ELEM_FMT
+#undef MATRIX_ELEM_WRITE_FMT
+
+#define NERV_GENERIC_MMATRIX
+#define MATRIX_USE_INT
+#define host_matrix_(NAME) host_matrix_int_##NAME
+#define nerv_matrix_(NAME) nerv_matrix_host_int_##NAME
+const char *nerv_matrix_(tname) = "nerv.MMatrixInt";
+#define MMATRIX_INIT(L) host_matrix_(init_extra)(L)
+
+static const luaL_Reg nerv_matrix_(extra_methods_int)[];
+static void host_matrix_(init_extra)(lua_State *L) {
+ luaN_append_methods(L, nerv_matrix_(extra_methods_int));
+}
+
+#include "generic/mmatrix.c"
+
+static int nerv_matrix_(perm_gen)(lua_State *L) {
+ int i, ncol = luaL_checkinteger(L, 1);
+ Matrix *self = nerv_matrix_(new_)(L, 1, ncol);
+ long *prow = self->data.i;
+ for (i = 0; i < ncol; i++)
+ prow[i] = i;
+ for (i = ncol - 1; i >= 0; i--)
+ {
+ size_t j = rand() % (i + 1);
+ long tmp = prow[i];
+ prow[i] = prow[j];
+ prow[j] = tmp;
+ }
+ luaT_pushudata(L, self, nerv_matrix_(tname));
+ return 1;
+}
+
+static const luaL_Reg nerv_matrix_(extra_methods_int)[] = {
+ {"perm_gen", nerv_matrix_(perm_gen)},
+ {NULL, NULL}
+};
+