mirror of
https://github.com/pocketpy/pocketpy
synced 2025-10-20 03:20:18 +00:00
1187 lines
44 KiB
C
1187 lines
44 KiB
C
#include "pocketpy/interpreter/array2d.h"
|
|
#include "pocketpy/interpreter/vm.h"
|
|
#include "pocketpy/pocketpy.h"
|
|
#include <limits.h>
|
|
|
|
static bool c11_array2d_like_is_valid(c11_array2d_like* self, unsigned int col, unsigned int row) {
|
|
return col < self->n_cols && row < self->n_rows;
|
|
}
|
|
|
|
static py_Ref c11_array2d__get(c11_array2d* self, int col, int row) {
|
|
return self->data + row * self->header.n_cols + col;
|
|
}
|
|
|
|
static bool c11_array2d__set(c11_array2d* self, int col, int row, py_Ref value) {
|
|
self->data[row * self->header.n_cols + col] = *value;
|
|
return true;
|
|
}
|
|
|
|
c11_array2d* py_newarray2d(py_OutRef out, int n_cols, int n_rows) {
|
|
int numel = n_cols * n_rows;
|
|
c11_array2d* ud = py_newobject(out, tp_array2d, numel, sizeof(c11_array2d));
|
|
ud->header.n_cols = n_cols;
|
|
ud->header.n_rows = n_rows;
|
|
ud->header.numel = numel;
|
|
ud->header.f_get = (py_Ref(*)(c11_array2d_like*, int, int))c11_array2d__get;
|
|
ud->header.f_set = (bool (*)(c11_array2d_like*, int, int, py_Ref))c11_array2d__set;
|
|
ud->data = py_getslot(out, 0);
|
|
return ud;
|
|
}
|
|
|
|
/* array2d_like bindings */
|
|
static bool array2d_like_n_cols(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_newint(py_retval(), self->n_cols);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_n_rows(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_newint(py_retval(), self->n_rows);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_shape(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
c11_vec2i shape;
|
|
shape.x = self->n_cols;
|
|
shape.y = self->n_rows;
|
|
py_newvec2i(py_retval(), shape);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_numel(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_newint(py_retval(), self->numel);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_is_valid(int argc, py_Ref argv) {
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
int col, row;
|
|
if(argc == 2) {
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_vec2i pos = py_tovec2i(py_arg(1));
|
|
col = pos.x;
|
|
row = pos.y;
|
|
} else if(argc == 3) {
|
|
PY_CHECK_ARG_TYPE(1, tp_int);
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
col = py_toint(py_arg(1));
|
|
row = py_toint(py_arg(2));
|
|
} else {
|
|
return TypeError("is_valid() expected 2 or 3 arguments");
|
|
}
|
|
py_newbool(py_retval(), c11_array2d_like_is_valid(self, col, row));
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_get(int argc, py_Ref argv) {
|
|
PY_CHECK_ARG_TYPE(1, tp_int);
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
py_Ref default_;
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
if(argc == 3) {
|
|
default_ = py_None();
|
|
} else if(argc == 4) {
|
|
default_ = py_arg(3);
|
|
} else {
|
|
return TypeError("get() expected 2 or 3 arguments");
|
|
}
|
|
int col = py_toint(py_arg(1));
|
|
int row = py_toint(py_arg(2));
|
|
if(c11_array2d_like_is_valid(self, col, row)) {
|
|
py_assign(py_retval(), self->f_get(self, col, row));
|
|
} else {
|
|
py_assign(py_retval(), default_);
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_render(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_sbuf buf;
|
|
c11_sbuf__ctor(&buf);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
if(!py_str(item)) return false;
|
|
c11_sbuf__write_sv(&buf, py_tosv(py_retval()));
|
|
}
|
|
if(j < self->n_rows - 1) c11_sbuf__write_char(&buf, '\n');
|
|
}
|
|
c11_sbuf__py_submit(&buf, py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_all(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
if(!py_checkbool(item)) return false;
|
|
if(!py_tobool(item)) {
|
|
py_newbool(py_retval(), false);
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
py_newbool(py_retval(), true);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_any(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
if(!py_checkbool(item)) return false;
|
|
if(py_tobool(item)) {
|
|
py_newbool(py_retval(), true);
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
py_newbool(py_retval(), false);
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_map(int argc, py_Ref argv) {
|
|
// def map(self, f: Callable[[T], Any]) -> 'array2d': ...
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_Ref f = py_arg(1);
|
|
c11_array2d* res = py_newarray2d(py_pushtmp(), self->n_cols, self->n_rows);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
if(!py_call(f, 1, item)) return false;
|
|
res->data[j * self->n_cols + i] = *py_retval();
|
|
}
|
|
}
|
|
py_assign(py_retval(), py_peek(-1));
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_apply(int argc, py_Ref argv) {
|
|
// def apply_(self, f: Callable[[T], T]) -> None: ...
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_Ref f = py_arg(1);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
if(!py_call(f, 1, item)) return false;
|
|
bool ok = self->f_set(self, i, j, py_retval());
|
|
if(!ok) return false;
|
|
}
|
|
}
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_copy(int argc, py_Ref argv) {
|
|
// def copy(self) -> 'array2d': ...
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
c11_array2d* res = py_newarray2d(py_retval(), self->n_cols, self->n_rows);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
res->data[j * self->n_cols + i] = *item;
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like_tolist(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_newlistn(py_retval(), self->n_rows);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
py_Ref row_j = py_list_getitem(py_retval(), j);
|
|
py_newlistn(row_j, self->n_cols);
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
py_list_setitem(row_j, i, item);
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static bool _check_same_shape(int colA, int rowA, int colB, int rowB) {
|
|
if(colA != colB || rowA != rowB) {
|
|
const char* fmt = "expected the same shape: (%d, %d) != (%d, %d)";
|
|
return ValueError(fmt, colA, rowA, colB, rowB);
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static bool _array2d_like_check_same_shape(c11_array2d_like* self, c11_array2d_like* other) {
|
|
return _check_same_shape(self->n_cols, self->n_rows, other->n_cols, other->n_rows);
|
|
}
|
|
|
|
static bool array2d_like__eq__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
c11_array2d* res = py_newarray2d(py_pushtmp(), self->n_cols, self->n_rows);
|
|
if(py_isinstance(py_arg(1), tp_array2d_like)) {
|
|
c11_array2d_like* other = py_touserdata(py_arg(1));
|
|
if(!_array2d_like_check_same_shape(self, other)) return false;
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref lhs = self->f_get(self, i, j);
|
|
py_Ref rhs = other->f_get(other, i, j);
|
|
int code = py_equal(lhs, rhs);
|
|
if(code == -1) return false;
|
|
py_newbool(&res->data[j * self->n_cols + i], (bool)code);
|
|
}
|
|
}
|
|
} else {
|
|
// broadcast
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref lhs = self->f_get(self, i, j);
|
|
int code = py_equal(lhs, py_arg(1));
|
|
if(code == -1) return false;
|
|
py_newbool(&res->data[j * self->n_cols + i], (bool)code);
|
|
}
|
|
}
|
|
}
|
|
py_assign(py_retval(), py_peek(-1));
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like__ne__(int argc, py_Ref argv) {
|
|
bool ok = array2d_like__eq__(argc, argv);
|
|
if(!ok) return false;
|
|
assert(py_istype(py_retval(), tp_array2d));
|
|
c11_array2d* res = py_touserdata(py_retval());
|
|
py_TValue* data = res->data;
|
|
for(int i = 0; i < res->header.numel; i++) {
|
|
assert(py_isbool(&data[i]));
|
|
py_newbool(&data[i], !py_tobool(&data[i]));
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like__iter__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
c11_array2d_like_iterator* ud =
|
|
py_newobject(py_retval(), tp_array2d_like_iterator, 1, sizeof(c11_array2d_like_iterator));
|
|
py_setslot(py_retval(), 0, argv); // keep the array alive
|
|
ud->array = self;
|
|
ud->j = 0;
|
|
ud->i = 0;
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like__repr__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
char buf[256];
|
|
snprintf(buf,
|
|
sizeof(buf),
|
|
"%s(%d, %d)",
|
|
py_tpname(py_typeof(argv)),
|
|
self->n_cols,
|
|
self->n_rows);
|
|
py_newstr(py_retval(), buf);
|
|
return true;
|
|
}
|
|
|
|
#define HANDLE_SLICE() \
|
|
int start_col, stop_col, step_col; \
|
|
int start_row, stop_row, step_row; \
|
|
if(!pk__parse_int_slice(x, self->n_cols, &start_col, &stop_col, &step_col)) return false; \
|
|
if(!pk__parse_int_slice(y, self->n_rows, &start_row, &stop_row, &step_row)) return false; \
|
|
if(step_col != 1 || step_row != 1) return ValueError("slice step must be 1"); \
|
|
int slice_width = stop_col - start_col; \
|
|
int slice_height = stop_row - start_row;
|
|
|
|
static bool _array2d_like_IndexError(c11_array2d_like* self, int col, int row) {
|
|
return IndexError("(%d, %d) is not a valid index of array2d_like(%d, %d)",
|
|
col,
|
|
row,
|
|
self->n_cols,
|
|
self->n_rows);
|
|
}
|
|
|
|
static py_Ref c11_array2d_view__get(c11_array2d_view* self, int col, int row) {
|
|
return self->f_get(self->ctx, col + self->origin.x, row + self->origin.y);
|
|
}
|
|
|
|
static bool c11_array2d_view__set(c11_array2d_view* self, int col, int row, py_Ref value) {
|
|
return self->f_set(self->ctx, col + self->origin.x, row + self->origin.y, value);
|
|
}
|
|
|
|
static c11_array2d_view* _array2d_view__new(py_OutRef out,
|
|
py_Ref keepalive,
|
|
int start_col,
|
|
int start_row,
|
|
int width,
|
|
int height) {
|
|
c11_array2d_view* res = py_newobject(out, tp_array2d_view, 1, sizeof(c11_array2d_view));
|
|
if(width <= 0 || height <= 0) {
|
|
ValueError("width and height must be positive");
|
|
return NULL;
|
|
}
|
|
res->header.n_cols = width;
|
|
res->header.n_rows = height;
|
|
res->header.numel = width * height;
|
|
res->header.f_get = (py_Ref(*)(c11_array2d_like*, int, int))c11_array2d_view__get;
|
|
res->header.f_set = (bool (*)(c11_array2d_like*, int, int, py_Ref))c11_array2d_view__set;
|
|
res->origin.x = start_col;
|
|
res->origin.y = start_row;
|
|
py_setslot(out, 0, keepalive);
|
|
return res;
|
|
}
|
|
|
|
static bool _array2d_view(py_OutRef out,
|
|
py_Ref keepalive,
|
|
c11_array2d_like* array,
|
|
int start_col,
|
|
int start_row,
|
|
int width,
|
|
int height) {
|
|
c11_array2d_view* res = _array2d_view__new(out, keepalive, start_col, start_row, width, height);
|
|
if(res == NULL) return false;
|
|
res->ctx = array;
|
|
res->f_get = (py_Ref(*)(void*, int, int))array->f_get;
|
|
res->f_set = (bool (*)(void*, int, int, py_Ref))array->f_set;
|
|
return true;
|
|
}
|
|
|
|
static bool _chunked_array2d_view(py_OutRef out,
|
|
py_Ref keepalive,
|
|
c11_chunked_array2d* array,
|
|
int start_col,
|
|
int start_row,
|
|
int width,
|
|
int height) {
|
|
c11_array2d_view* res = _array2d_view__new(out, keepalive, start_col, start_row, width, height);
|
|
if(res == NULL) return false;
|
|
res->ctx = array;
|
|
res->f_get = (py_Ref(*)(void*, int, int))c11_chunked_array2d__get;
|
|
res->f_set = (bool (*)(void*, int, int, py_Ref))c11_chunked_array2d__set;
|
|
return true;
|
|
}
|
|
|
|
static bool array2d_like__getitem__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
if(argv[1].type == tp_vec2i) {
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
if(c11_array2d_like_is_valid(self, pos.x, pos.y)) {
|
|
py_assign(py_retval(), self->f_get(self, pos.x, pos.y));
|
|
return true;
|
|
}
|
|
return _array2d_like_IndexError(self, pos.x, pos.y);
|
|
}
|
|
|
|
if(py_isinstance(&argv[1], tp_array2d_like)) {
|
|
c11_array2d_like* mask = py_touserdata(&argv[1]);
|
|
if(!_array2d_like_check_same_shape(self, mask)) return false;
|
|
py_newlist(py_retval());
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
py_Ref cond = mask->f_get(mask, i, j);
|
|
if(!py_checkbool(cond)) return false;
|
|
if(py_tobool(cond)) py_list_append(py_retval(), item);
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
PY_CHECK_ARG_TYPE(1, tp_tuple);
|
|
if(py_tuple_len(&argv[1]) != 2) return TypeError("expected a tuple of 2 elements");
|
|
py_Ref x = py_tuple_getitem(&argv[1], 0);
|
|
py_Ref y = py_tuple_getitem(&argv[1], 1);
|
|
if(py_isint(x) && py_isint(y)) {
|
|
int col = py_toint(x);
|
|
int row = py_toint(y);
|
|
if(c11_array2d_like_is_valid(self, col, row)) {
|
|
py_assign(py_retval(), self->f_get(self, col, row));
|
|
return true;
|
|
}
|
|
return _array2d_like_IndexError(self, col, row);
|
|
}
|
|
|
|
if(py_istype(x, tp_slice) && py_istype(y, tp_slice)) {
|
|
HANDLE_SLICE();
|
|
return _array2d_view(py_retval(),
|
|
argv,
|
|
self,
|
|
start_col,
|
|
start_row,
|
|
slice_width,
|
|
slice_height);
|
|
}
|
|
|
|
return TypeError("expected `tuple[int, int]` or `tuple[slice, slice]`");
|
|
}
|
|
|
|
static bool array2d_like__setitem__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(3);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_Ref value = &argv[2];
|
|
if(argv[1].type == tp_vec2i) {
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
if(c11_array2d_like_is_valid(self, pos.x, pos.y)) {
|
|
bool ok = self->f_set(self, pos.x, pos.y, value);
|
|
if(!ok) return false;
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
return _array2d_like_IndexError(self, pos.x, pos.y);
|
|
}
|
|
|
|
if(py_isinstance(&argv[1], tp_array2d_like)) {
|
|
c11_array2d_like* mask = py_touserdata(&argv[1]);
|
|
if(!_array2d_like_check_same_shape(self, mask)) return false;
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref cond = mask->f_get(mask, i, j);
|
|
if(!py_checkbool(cond)) return false;
|
|
if(py_tobool(cond)) {
|
|
bool ok = self->f_set(self, i, j, value);
|
|
if(!ok) return false;
|
|
}
|
|
}
|
|
}
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
PY_CHECK_ARG_TYPE(1, tp_tuple);
|
|
if(py_tuple_len(py_arg(1)) != 2) return TypeError("expected a tuple of 2 elements");
|
|
py_Ref x = py_tuple_getitem(py_arg(1), 0);
|
|
py_Ref y = py_tuple_getitem(py_arg(1), 1);
|
|
if(py_isint(x) && py_isint(y)) {
|
|
int col = py_toint(x);
|
|
int row = py_toint(y);
|
|
if(c11_array2d_like_is_valid(self, col, row)) {
|
|
bool ok = self->f_set(self, col, row, value);
|
|
if(!ok) return false;
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
return _array2d_like_IndexError(self, col, row);
|
|
}
|
|
|
|
if(py_istype(x, tp_slice) && py_istype(y, tp_slice)) {
|
|
HANDLE_SLICE();
|
|
if(py_isinstance(value, tp_array2d_like)) {
|
|
c11_array2d_like* values = py_touserdata(value);
|
|
if(!_check_same_shape(slice_width, slice_height, values->n_cols, values->n_rows))
|
|
return false;
|
|
for(int j = 0; j < slice_height; j++) {
|
|
for(int i = 0; i < slice_width; i++) {
|
|
py_Ref item = values->f_get(values, i, j);
|
|
bool ok = self->f_set(self, start_col + i, start_row + j, item);
|
|
if(!ok) return false;
|
|
}
|
|
}
|
|
} else {
|
|
for(int j = 0; j < slice_height; j++) {
|
|
for(int i = 0; i < slice_width; i++) {
|
|
bool ok = self->f_set(self, start_col + i, start_row + j, value);
|
|
if(!ok) return false;
|
|
}
|
|
}
|
|
}
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
return TypeError("expected `tuple[int, int]` or `tuple[slice, slice]");
|
|
}
|
|
|
|
// count(self, value: T) -> int
|
|
static bool array2d_like_count(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
int count = 0;
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
int code = py_equal(self->f_get(self, i, j), py_arg(1));
|
|
if(code == -1) return false;
|
|
count += code;
|
|
}
|
|
}
|
|
py_newint(py_retval(), count);
|
|
return true;
|
|
}
|
|
|
|
// get_bounding_rect(self, value: T) -> tuple[int, int, int, int]
|
|
static bool array2d_like_get_bounding_rect(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
py_Ref value = py_arg(1);
|
|
int left = self->n_cols;
|
|
int top = self->n_rows;
|
|
int right = 0;
|
|
int bottom = 0;
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_Ref item = self->f_get(self, i, j);
|
|
int res = py_equal(item, value);
|
|
if(res == -1) return false;
|
|
if(res == 1) {
|
|
left = c11__min(left, i);
|
|
top = c11__min(top, j);
|
|
right = c11__max(right, i);
|
|
bottom = c11__max(bottom, j);
|
|
}
|
|
}
|
|
}
|
|
int width = right - left + 1;
|
|
int height = bottom - top + 1;
|
|
if(width <= 0 || height <= 0) {
|
|
return ValueError("value not found");
|
|
} else {
|
|
py_newtuple(py_retval(), 4);
|
|
py_TValue* data = py_tuple_data(py_retval());
|
|
py_newint(&data[0], left);
|
|
py_newint(&data[1], top);
|
|
py_newint(&data[2], width);
|
|
py_newint(&data[3], height);
|
|
}
|
|
return true;
|
|
}
|
|
|
|
// count_neighbors(self, value: T, neighborhood: Neighborhood) -> array2d[int]
|
|
static bool array2d_like_count_neighbors(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(3);
|
|
c11_array2d_like* self = py_touserdata(argv);
|
|
c11_array2d* res = py_newarray2d(py_pushtmp(), self->n_cols, self->n_rows);
|
|
py_Ref value = py_arg(1);
|
|
const char* neighborhood = py_tostr(py_arg(2));
|
|
|
|
const static c11_vec2i Moore[] = {
|
|
{{-1, -1}},
|
|
{{0, -1}},
|
|
{{1, -1}},
|
|
{{-1, 0}},
|
|
{{1, 0}},
|
|
{{-1, 1}},
|
|
{{0, 1}},
|
|
{{1, 1}},
|
|
};
|
|
|
|
const static c11_vec2i von_Neumann[] = {
|
|
{{0, -1}},
|
|
{{-1, 0}},
|
|
{{1, 0}},
|
|
{{0, 1}},
|
|
};
|
|
|
|
const c11_vec2i* offsets;
|
|
int n_offsets;
|
|
if(strcmp(neighborhood, "Moore") == 0) {
|
|
offsets = Moore;
|
|
n_offsets = c11__count_array(Moore);
|
|
} else if(strcmp(neighborhood, "von Neumann") == 0) {
|
|
offsets = von_Neumann;
|
|
n_offsets = c11__count_array(von_Neumann);
|
|
} else {
|
|
return ValueError("neighborhood must be 'Moore' or 'von Neumann'");
|
|
}
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_i64 count = 0;
|
|
for(int k = 0; k < n_offsets; k++) {
|
|
int x = i + offsets[k].x;
|
|
int y = j + offsets[k].y;
|
|
if(x >= 0 && x < self->n_cols && y >= 0 && y < self->n_rows) {
|
|
py_Ref item = self->f_get(self, x, y);
|
|
int code = py_equal(item, value);
|
|
if(code == -1) return false;
|
|
count += code;
|
|
}
|
|
}
|
|
py_newint(c11_array2d__get(res, i, j), count);
|
|
}
|
|
}
|
|
py_assign(py_retval(), py_peek(-1));
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
// convolve(self: array2d_like[int], kernel: array2d_like[int], padding: int) -> array2d[int]
|
|
static bool array2d_like_convolve(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(3);
|
|
if(!py_checkinstance(&argv[1], tp_array2d_like)) return false;
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
c11_array2d_like* self = py_touserdata(&argv[0]);
|
|
c11_array2d_like* kernel = py_touserdata(&argv[1]);
|
|
int padding = py_toint(py_arg(2));
|
|
if(kernel->n_cols != kernel->n_rows) return ValueError("kernel must be square");
|
|
int ksize = kernel->n_cols;
|
|
if(ksize % 2 == 0) return ValueError("kernel size must be odd");
|
|
int ksize_half = ksize / 2;
|
|
c11_array2d* res = py_newarray2d(py_pushtmp(), self->n_cols, self->n_rows);
|
|
for(int j = 0; j < self->n_rows; j++) {
|
|
for(int i = 0; i < self->n_cols; i++) {
|
|
py_i64 sum = 0;
|
|
for(int jj = 0; jj < ksize; jj++) {
|
|
for(int ii = 0; ii < ksize; ii++) {
|
|
int x = i + ii - ksize_half;
|
|
int y = j + jj - ksize_half;
|
|
py_i64 _0, _1;
|
|
if(x < 0 || x >= self->n_cols || y < 0 || y >= self->n_rows) {
|
|
_0 = padding;
|
|
} else {
|
|
py_Ref item = self->f_get(self, x, y);
|
|
if(!py_checkint(item)) return false;
|
|
_0 = py_toint(item);
|
|
}
|
|
py_Ref kitem = kernel->f_get(kernel, ii, jj);
|
|
if(!py_checkint(kitem)) return false;
|
|
_1 = py_toint(kitem);
|
|
sum += _0 * _1;
|
|
}
|
|
}
|
|
py_newint(c11_array2d__get(res, i, j), sum);
|
|
}
|
|
}
|
|
py_assign(py_retval(), py_peek(-1));
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
#undef HANDLE_SLICE
|
|
|
|
static void register_array2d_like(py_Ref mod) {
|
|
py_Type type = py_newtype("array2d_like", tp_object, mod, NULL);
|
|
assert(type == tp_array2d_like);
|
|
|
|
py_bindproperty(type, "n_cols", array2d_like_n_cols, NULL);
|
|
py_bindproperty(type, "n_rows", array2d_like_n_rows, NULL);
|
|
py_bindproperty(type, "width", array2d_like_n_cols, NULL);
|
|
py_bindproperty(type, "height", array2d_like_n_rows, NULL);
|
|
py_bindproperty(type, "shape", array2d_like_shape, NULL);
|
|
py_bindproperty(type, "numel", array2d_like_numel, NULL);
|
|
|
|
py_bindmethod(type, "is_valid", array2d_like_is_valid);
|
|
py_bindmethod(type, "get", array2d_like_get);
|
|
|
|
py_bindmethod(type, "render", array2d_like_render);
|
|
|
|
py_bindmethod(type, "all", array2d_like_all);
|
|
py_bindmethod(type, "any", array2d_like_any);
|
|
|
|
py_bindmethod(type, "map", array2d_like_map);
|
|
py_bindmethod(type, "apply", array2d_like_apply);
|
|
py_bindmethod(type, "copy", array2d_like_copy);
|
|
py_bindmethod(type, "tolist", array2d_like_tolist);
|
|
|
|
py_bindmagic(type, __eq__, array2d_like__eq__);
|
|
py_bindmagic(type, __ne__, array2d_like__ne__);
|
|
py_bindmagic(type, __iter__, array2d_like__iter__);
|
|
py_bindmagic(type, __repr__, array2d_like__repr__);
|
|
|
|
py_bindmagic(type, __getitem__, array2d_like__getitem__);
|
|
py_bindmagic(type, __setitem__, array2d_like__setitem__);
|
|
|
|
py_bindmethod(type, "count", array2d_like_count);
|
|
py_bindmethod(type, "get_bounding_rect", array2d_like_get_bounding_rect);
|
|
py_bindmethod(type, "count_neighbors", array2d_like_count_neighbors);
|
|
py_bindmethod(type, "convolve", array2d_like_convolve);
|
|
|
|
const char* scc =
|
|
"\ndef get_connected_components(self, value: T, neighborhood: Neighborhood) -> tuple[array2d[int], int]:\n from collections import deque\n from linalg import vec2i\n\n DIRS = [vec2i.LEFT, vec2i.RIGHT, vec2i.UP, vec2i.DOWN]\n assert neighborhood in ['Moore', 'von Neumann']\n\n if neighborhood == 'Moore':\n DIRS.extend([\n vec2i.LEFT+vec2i.UP,\n vec2i.RIGHT+vec2i.UP,\n vec2i.LEFT+vec2i.DOWN,\n vec2i.RIGHT+vec2i.DOWN\n ])\n\n visited = array2d[int](self.width, self.height, default=0)\n queue = deque()\n count = 0\n for y in range(self.height):\n for x in range(self.width):\n if visited[x, y] or self[x, y] != value:\n continue\n count += 1\n queue.append((x, y))\n visited[x, y] = count\n while queue:\n cx, cy = queue.popleft()\n for dx, dy in DIRS:\n nx, ny = cx+dx, cy+dy\n if self.is_valid(nx, ny) and not visited[nx, ny] and self[nx, ny] == value:\n queue.append((nx, ny))\n visited[nx, ny] = count\n return visited, count\n\narray2d_like.get_connected_components = get_connected_components\ndel get_connected_components\n";
|
|
if(!py_exec(scc, "array2d.py", EXEC_MODE, mod)) {
|
|
py_printexc();
|
|
c11__abort("failed to execute array2d.py");
|
|
}
|
|
}
|
|
|
|
static bool array2d_like_iterator__next__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_like_iterator* self = py_touserdata(argv);
|
|
if(self->j >= self->array->n_rows) return StopIteration();
|
|
py_newtuple(py_retval(), 2);
|
|
py_TValue* data = py_tuple_data(py_retval());
|
|
py_newvec2i(&data[0],
|
|
(c11_vec2i){
|
|
{self->i, self->j}
|
|
});
|
|
py_assign(&data[1], self->array->f_get(self->array, self->i, self->j));
|
|
self->i++;
|
|
if(self->i >= self->array->n_cols) {
|
|
self->i = 0;
|
|
self->j++;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static void register_array2d_like_iterator(py_Ref mod) {
|
|
py_Type type = py_newtype("array2d_like_iterator", tp_object, mod, NULL);
|
|
assert(type == tp_array2d_like_iterator);
|
|
py_bindmagic(type, __iter__, pk_wrapper__self);
|
|
py_bindmagic(type, __next__, array2d_like_iterator__next__);
|
|
}
|
|
|
|
static bool array2d__new__(int argc, py_Ref argv) {
|
|
// __new__(cls, n_cols: int, n_rows: int, default: Callable[[vec2i], T] = None)
|
|
py_Ref default_ = py_arg(3);
|
|
PY_CHECK_ARG_TYPE(0, tp_type);
|
|
PY_CHECK_ARG_TYPE(1, tp_int);
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
int n_cols = argv[1]._i64;
|
|
int n_rows = argv[2]._i64;
|
|
if(n_cols <= 0 || n_rows <= 0) return ValueError("array2d() expected positive dimensions");
|
|
c11_array2d* ud = py_newarray2d(py_pushtmp(), n_cols, n_rows);
|
|
// setup initial values
|
|
if(py_callable(default_)) {
|
|
for(int j = 0; j < n_rows; j++) {
|
|
for(int i = 0; i < n_cols; i++) {
|
|
py_TValue tmp;
|
|
py_newvec2i(&tmp,
|
|
(c11_vec2i){
|
|
{i, j}
|
|
});
|
|
if(!py_call(default_, 1, &tmp)) return false;
|
|
ud->data[j * n_cols + i] = *py_retval();
|
|
}
|
|
}
|
|
} else {
|
|
for(int i = 0; i < ud->header.numel; i++) {
|
|
ud->data[i] = *default_;
|
|
}
|
|
}
|
|
py_assign(py_retval(), py_peek(-1));
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
// fromlist(data: list[list[T]]) -> array2d[T]
|
|
static bool array2d_fromlist_STATIC(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
if(!py_checktype(argv, tp_list)) return false;
|
|
int n_rows = py_list_len(argv);
|
|
if(n_rows == 0) return ValueError("fromlist() expected a non-empty list");
|
|
int n_cols = -1;
|
|
for(int j = 0; j < n_rows; j++) {
|
|
py_Ref row_j = py_list_getitem(argv, j);
|
|
if(!py_checktype(row_j, tp_list)) return false;
|
|
int n_cols_j = py_list_len(row_j);
|
|
if(n_cols == -1) {
|
|
if(n_cols_j == 0) return ValueError("fromlist() expected a non-empty list");
|
|
n_cols = n_cols_j;
|
|
} else if(n_cols != n_cols_j) {
|
|
return ValueError("fromlist() expected a list of lists with the same length");
|
|
}
|
|
}
|
|
c11_array2d* res = py_newarray2d(py_retval(), n_cols, n_rows);
|
|
for(int j = 0; j < n_rows; j++) {
|
|
py_Ref row_j = py_list_getitem(argv, j);
|
|
for(int i = 0; i < n_cols; i++) {
|
|
c11_array2d__set(res, i, j, py_list_getitem(row_j, i));
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static void register_array2d(py_Ref mod) {
|
|
py_Type type = py_newtype("array2d", tp_array2d_like, mod, NULL);
|
|
assert(type == tp_array2d);
|
|
py_bind(py_tpobject(type),
|
|
"__new__(cls, n_cols: int, n_rows: int, default=None)",
|
|
array2d__new__);
|
|
py_bindstaticmethod(type, "fromlist", array2d_fromlist_STATIC);
|
|
}
|
|
|
|
static bool array2d_view_origin(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_array2d_view* self = py_touserdata(argv);
|
|
py_newvec2i(py_retval(), self->origin);
|
|
return true;
|
|
}
|
|
|
|
static void register_array2d_view(py_Ref mod) {
|
|
py_Type type = py_newtype("array2d_view", tp_array2d_like, mod, NULL);
|
|
assert(type == tp_array2d_view);
|
|
py_bindproperty(type, "origin", array2d_view_origin, NULL);
|
|
}
|
|
|
|
/* chunked_array2d */
|
|
#define SMALLMAP_T__SOURCE
|
|
#define K c11_vec2i
|
|
#define V py_TValue*
|
|
#define NAME c11_chunked_array2d_chunks
|
|
#define less(a, b) (a._i64 < b._i64)
|
|
#define equal(a, b) (a._i64 == b._i64)
|
|
#include "pocketpy/xmacros/smallmap.h"
|
|
#undef SMALLMAP_T__SOURCE
|
|
|
|
static py_TValue* c11_chunked_array2d__new_chunk(c11_chunked_array2d* self, c11_vec2i pos) {
|
|
#ifndef NDEBUG
|
|
bool exists = c11_chunked_array2d_chunks__contains(&self->chunks, pos);
|
|
assert(!exists);
|
|
#endif
|
|
int chunk_numel = self->chunk_size * self->chunk_size + 1;
|
|
py_TValue* data = PK_MALLOC(sizeof(py_TValue) * chunk_numel);
|
|
if(!py_isnone(&self->context_builder)) {
|
|
py_newvec2i(&data[0], pos);
|
|
bool ok = py_call(&self->context_builder, 1, &data[0]);
|
|
if(!ok) return NULL;
|
|
data[0] = *py_retval();
|
|
} else {
|
|
data[0] = *py_None();
|
|
}
|
|
memset(&data[1], 0, sizeof(py_TValue) * (chunk_numel - 1));
|
|
c11_chunked_array2d_chunks__set(&self->chunks, pos, data);
|
|
self->last_visited.key = pos;
|
|
self->last_visited.value = data;
|
|
return data;
|
|
}
|
|
|
|
static void c11_chunked_array2d__world_to_chunk(c11_chunked_array2d* self,
|
|
int col,
|
|
int row,
|
|
c11_vec2i* chunk_pos,
|
|
c11_vec2i* local_pos) {
|
|
if(col >= 0) {
|
|
chunk_pos->x = col >> self->chunk_size_log2;
|
|
local_pos->x = col & self->chunk_size_mask;
|
|
} else {
|
|
chunk_pos->x = -((-col) >> self->chunk_size_log2);
|
|
local_pos->x = (-col) & self->chunk_size_mask;
|
|
}
|
|
if(row >= 0) {
|
|
chunk_pos->y = row >> self->chunk_size_log2;
|
|
local_pos->y = row & self->chunk_size_mask;
|
|
} else {
|
|
chunk_pos->y = -((-row) >> self->chunk_size_log2);
|
|
local_pos->y = (-row) & self->chunk_size_mask;
|
|
}
|
|
}
|
|
|
|
static py_TValue* c11_chunked_array2d__parse_col_row(c11_chunked_array2d* self,
|
|
int col,
|
|
int row,
|
|
c11_vec2i* chunk_pos,
|
|
c11_vec2i* local_pos) {
|
|
c11_chunked_array2d__world_to_chunk(self, col, row, chunk_pos, local_pos);
|
|
py_TValue* data;
|
|
if(self->last_visited.value != NULL && chunk_pos->_i64 == self->last_visited.key._i64) {
|
|
data = self->last_visited.value;
|
|
} else {
|
|
data = c11_chunked_array2d_chunks__get(&self->chunks, *chunk_pos, NULL);
|
|
}
|
|
if(data != NULL) {
|
|
self->last_visited.key = *chunk_pos;
|
|
self->last_visited.value = data;
|
|
}
|
|
return data;
|
|
}
|
|
|
|
py_Ref c11_chunked_array2d__get(c11_chunked_array2d* self, int col, int row) {
|
|
c11_vec2i chunk_pos, local_pos;
|
|
py_TValue* data = c11_chunked_array2d__parse_col_row(self, col, row, &chunk_pos, &local_pos);
|
|
if(data == NULL) return &self->default_T;
|
|
py_Ref retval = &data[1 + local_pos.y * self->chunk_size + local_pos.x];
|
|
if(py_isnil(retval)) return &self->default_T;
|
|
return retval;
|
|
}
|
|
|
|
bool c11_chunked_array2d__set(c11_chunked_array2d* self, int col, int row, py_Ref value) {
|
|
c11_vec2i chunk_pos, local_pos;
|
|
py_TValue* data = c11_chunked_array2d__parse_col_row(self, col, row, &chunk_pos, &local_pos);
|
|
if(data == NULL) {
|
|
data = c11_chunked_array2d__new_chunk(self, chunk_pos);
|
|
if(data == NULL) return false;
|
|
}
|
|
data[1 + local_pos.y * self->chunk_size + local_pos.x] = *value;
|
|
return true;
|
|
}
|
|
|
|
static void c11_chunked_array2d__del(c11_chunked_array2d* self, int col, int row) {
|
|
c11_vec2i chunk_pos, local_pos;
|
|
py_TValue* data = c11_chunked_array2d__parse_col_row(self, col, row, &chunk_pos, &local_pos);
|
|
if(data != NULL) data[1 + local_pos.y * self->chunk_size + local_pos.x] = *py_NIL();
|
|
}
|
|
|
|
static bool chunked_array2d__new__(int argc, py_Ref argv) {
|
|
py_Type cls = py_totype(argv);
|
|
py_newobject(py_retval(), cls, 0, sizeof(c11_chunked_array2d));
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__init__(int argc, py_Ref argv) {
|
|
c11_chunked_array2d* self = py_touserdata(&argv[0]);
|
|
PY_CHECK_ARG_TYPE(1, tp_int);
|
|
int chunk_size = py_toint(&argv[1]);
|
|
self->default_T = argv[2];
|
|
self->context_builder = argv[3];
|
|
|
|
c11_chunked_array2d_chunks__ctor(&self->chunks);
|
|
self->chunk_size = chunk_size;
|
|
switch(chunk_size) {
|
|
case 2: self->chunk_size_log2 = 1; break;
|
|
case 4: self->chunk_size_log2 = 2; break;
|
|
case 8: self->chunk_size_log2 = 3; break;
|
|
case 16: self->chunk_size_log2 = 4; break;
|
|
case 32: self->chunk_size_log2 = 5; break;
|
|
case 64: self->chunk_size_log2 = 6; break;
|
|
case 128: self->chunk_size_log2 = 7; break;
|
|
case 256: self->chunk_size_log2 = 8; break;
|
|
case 512: self->chunk_size_log2 = 9; break;
|
|
case 1024: self->chunk_size_log2 = 10; break;
|
|
case 2048: self->chunk_size_log2 = 11; break;
|
|
case 4096: self->chunk_size_log2 = 12; break;
|
|
default: return ValueError("invalid chunk_size: %d", chunk_size);
|
|
}
|
|
self->chunk_size_mask = chunk_size - 1;
|
|
memset(&self->last_visited, 0, sizeof(c11_chunked_array2d_chunks_KV));
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__chunk_size(int argc, py_Ref argv) {
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
py_newint(py_retval(), self->chunk_size);
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__getitem__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
py_Ref res = c11_chunked_array2d__get(self, pos.x, pos.y);
|
|
py_assign(py_retval(), res);
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__setitem__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(3);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
bool ok = c11_chunked_array2d__set(self, pos.x, pos.y, &argv[2]);
|
|
if(!ok) return false;
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__delitem__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
c11_chunked_array2d__del(self, pos.x, pos.y);
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__iter__(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
py_newtuple(py_pushtmp(), self->chunks.length);
|
|
for(int i = 0; i < self->chunks.length; i++) {
|
|
py_Ref slot = py_tuple_getitem(py_peek(-1), i);
|
|
c11_chunked_array2d_chunks_KV* kv =
|
|
c11__at(c11_chunked_array2d_chunks_KV, &self->chunks, i);
|
|
py_newtuple(slot, 2);
|
|
py_newvec2i(py_tuple_getitem(slot, 0), kv->key);
|
|
py_tuple_setitem(slot, 1, &kv->value[0]);
|
|
}
|
|
bool ok = py_iter(py_peek(-1));
|
|
if(!ok) return false;
|
|
py_pop();
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__clear(int argc, py_Ref argv) {
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_chunked_array2d_chunks__clear(&self->chunks);
|
|
self->last_visited.value = NULL;
|
|
py_newnone(py_retval());
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__world_to_chunk(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
c11_vec2i chunk_pos, local_pos;
|
|
c11_chunked_array2d__world_to_chunk(self, pos.x, pos.y, &chunk_pos, &local_pos);
|
|
py_newtuple(py_retval(), 2);
|
|
py_TValue* data = py_tuple_data(py_retval());
|
|
py_newvec2i(&data[0], chunk_pos);
|
|
py_newvec2i(&data[1], local_pos);
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__add_chunk(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
py_TValue* data = c11_chunked_array2d__new_chunk(self, pos);
|
|
if(data == NULL) return false;
|
|
py_assign(py_retval(), &data[0]); // context
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__remove_chunk(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
bool ok = c11_chunked_array2d_chunks__del(&self->chunks, pos);
|
|
self->last_visited.value = NULL;
|
|
py_newbool(py_retval(), ok);
|
|
return true;
|
|
}
|
|
|
|
static bool chunked_array2d__get_context(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(argv);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
py_TValue* data = c11_chunked_array2d_chunks__get(&self->chunks, pos, NULL);
|
|
if(data == NULL) {
|
|
py_newnone(py_retval());
|
|
} else {
|
|
py_assign(py_retval(), &data[0]);
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void c11_chunked_array2d__dtor(c11_chunked_array2d* self) {
|
|
c11__foreach(c11_chunked_array2d_chunks_KV, &self->chunks, p_kv) PK_FREE(p_kv->value);
|
|
c11_chunked_array2d_chunks__dtor(&self->chunks);
|
|
}
|
|
|
|
static void c11_chunked_array2d__mark(void* ud) {
|
|
c11_chunked_array2d* self = ud;
|
|
pk__mark_value(&self->default_T);
|
|
pk__mark_value(&self->context_builder);
|
|
int chunk_numel = self->chunk_size * self->chunk_size + 1;
|
|
for(int i = 0; i < self->chunks.length; i++) {
|
|
py_TValue* data = c11__getitem(c11_chunked_array2d_chunks_KV, &self->chunks, i).value;
|
|
for(int j = 0; j < chunk_numel; j++) {
|
|
pk__mark_value(data + j);
|
|
}
|
|
}
|
|
}
|
|
|
|
static bool chunked_array2d_view(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(1);
|
|
c11_chunked_array2d* self = py_touserdata(&argv[0]);
|
|
if(self->chunks.length == 0) { return ValueError("chunked_array2d is empty"); }
|
|
int min_chunk_x = INT_MAX;
|
|
int min_chunk_y = INT_MAX;
|
|
int max_chunk_x = INT_MIN;
|
|
int max_chunk_y = INT_MIN;
|
|
for(int i = 0; i < self->chunks.length; i++) {
|
|
c11_vec2i chunk_pos = c11__getitem(c11_chunked_array2d_chunks_KV, &self->chunks, i).key;
|
|
min_chunk_x = c11__min(min_chunk_x, chunk_pos.x);
|
|
min_chunk_y = c11__min(min_chunk_y, chunk_pos.y);
|
|
max_chunk_x = c11__max(max_chunk_x, chunk_pos.x);
|
|
max_chunk_y = c11__max(max_chunk_y, chunk_pos.y);
|
|
}
|
|
int start_col = min_chunk_x << self->chunk_size_log2;
|
|
int start_row = min_chunk_y << self->chunk_size_log2;
|
|
int width = (max_chunk_x - min_chunk_x + 1) * self->chunk_size;
|
|
int height = (max_chunk_y - min_chunk_y + 1) * self->chunk_size;
|
|
return _chunked_array2d_view(py_retval(), argv, self, start_col, start_row, width, height);
|
|
}
|
|
|
|
static bool chunked_array2d_view_rect(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(4);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
PY_CHECK_ARG_TYPE(3, tp_int);
|
|
c11_chunked_array2d* self = py_touserdata(&argv[0]);
|
|
c11_vec2i pos = py_tovec2i(&argv[1]);
|
|
int width = py_toint(&argv[2]);
|
|
int height = py_toint(&argv[3]);
|
|
return _chunked_array2d_view(py_retval(), argv, self, pos.x, pos.y, width, height);
|
|
}
|
|
|
|
static bool chunked_array2d_view_chunk(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(2);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
c11_chunked_array2d* self = py_touserdata(&argv[0]);
|
|
c11_vec2i chunk_pos = py_tovec2i(&argv[1]);
|
|
int start_col = chunk_pos.x << self->chunk_size_log2;
|
|
int start_row = chunk_pos.y << self->chunk_size_log2;
|
|
return _chunked_array2d_view(py_retval(),
|
|
argv,
|
|
self,
|
|
start_col,
|
|
start_row,
|
|
self->chunk_size,
|
|
self->chunk_size);
|
|
}
|
|
|
|
static bool chunked_array2d_view_chunks(int argc, py_Ref argv) {
|
|
PY_CHECK_ARGC(4);
|
|
PY_CHECK_ARG_TYPE(1, tp_vec2i);
|
|
PY_CHECK_ARG_TYPE(2, tp_int);
|
|
PY_CHECK_ARG_TYPE(3, tp_int);
|
|
c11_chunked_array2d* self = py_touserdata(&argv[0]);
|
|
c11_vec2i chunk_pos = py_tovec2i(&argv[1]);
|
|
int width = py_toint(&argv[2]) * self->chunk_size;
|
|
int height = py_toint(&argv[3]) * self->chunk_size;
|
|
int start_col = chunk_pos.x << self->chunk_size_log2;
|
|
int start_row = chunk_pos.y << self->chunk_size_log2;
|
|
return _chunked_array2d_view(py_retval(), argv, self, start_col, start_row, width, height);
|
|
}
|
|
|
|
static void register_chunked_array2d(py_Ref mod) {
|
|
py_Type type =
|
|
py_newtype("chunked_array2d", tp_object, mod, (py_Dtor)c11_chunked_array2d__dtor);
|
|
pk__tp_set_marker(type, c11_chunked_array2d__mark);
|
|
assert(type == tp_chunked_array2d);
|
|
|
|
py_bind(py_tpobject(type), "__new__(cls, *args, **kwargs)", chunked_array2d__new__);
|
|
py_bind(py_tpobject(type),
|
|
"__init__(self, chunk_size, default=None, context_builder=None)",
|
|
chunked_array2d__init__);
|
|
|
|
py_bindproperty(type, "chunk_size", chunked_array2d__chunk_size, NULL);
|
|
|
|
py_bindmagic(type, __getitem__, chunked_array2d__getitem__);
|
|
py_bindmagic(type, __setitem__, chunked_array2d__setitem__);
|
|
py_bindmagic(type, __delitem__, chunked_array2d__delitem__);
|
|
py_bindmagic(type, __iter__, chunked_array2d__iter__);
|
|
|
|
py_bindmethod(type, "clear", chunked_array2d__clear);
|
|
py_bindmethod(type, "world_to_chunk", chunked_array2d__world_to_chunk);
|
|
py_bindmethod(type, "add_chunk", chunked_array2d__add_chunk);
|
|
py_bindmethod(type, "remove_chunk", chunked_array2d__remove_chunk);
|
|
py_bindmethod(type, "get_context", chunked_array2d__get_context);
|
|
|
|
py_bindmethod(type, "view", chunked_array2d_view);
|
|
py_bindmethod(type, "view_rect", chunked_array2d_view_rect);
|
|
py_bindmethod(type, "view_chunk", chunked_array2d_view_chunk);
|
|
py_bindmethod(type, "view_chunks", chunked_array2d_view_chunks);
|
|
}
|
|
|
|
void pk__add_module_array2d() {
|
|
py_GlobalRef mod = py_newmodule("array2d");
|
|
|
|
register_array2d_like(mod);
|
|
register_array2d_like_iterator(mod);
|
|
register_array2d(mod);
|
|
register_array2d_view(mod);
|
|
register_chunked_array2d(mod);
|
|
} |