//----------------------------------mathutils.Quaternion() --------------
static PyObject *Quaternion_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
PyObject *seq = NULL;
double angle = 0.0f;
float quat[QUAT_SIZE] = {0.0f, 0.0f, 0.0f, 0.0f};
if (kwds && PyDict_Size(kwds)) {
PyErr_SetString(PyExc_TypeError,
"mathutils.Quaternion(): "
"takes no keyword args");
return NULL;
}
if (!PyArg_ParseTuple(args, "|Od:mathutils.Quaternion", &seq, &angle))
return NULL;
switch (PyTuple_GET_SIZE(args)) {
case 0:
break;
case 1:
if (mathutils_array_parse(quat, QUAT_SIZE, QUAT_SIZE, seq, "mathutils.Quaternion()") == -1)
return NULL;
break;
case 2:
if (mathutils_array_parse(quat, 3, 3, seq, "mathutils.Quaternion()") == -1)
return NULL;
angle = angle_wrap_rad(angle); /* clamp because of precision issues */
axis_angle_to_quat(quat, quat, angle);
break;
/* PyArg_ParseTuple assures no more then 2 */
}
return Quaternion_CreatePyObject(quat, Py_NEW, type);
}
static PyObject *Freestyle_blendRamp(PyObject *self, PyObject *args)
{
PyObject *obj1, *obj2;
char *s;
int type;
float a[3], fac, b[3];
if (!PyArg_ParseTuple(args, "sOfO", &s, &obj1, &fac, &obj2))
return NULL;
type = ramp_blend_type(s);
if (type < 0) {
PyErr_SetString(PyExc_TypeError, "argument 1 is an unknown ramp blend type");
return NULL;
}
if (mathutils_array_parse(a, 3, 3, obj1,
"argument 2 must be a 3D vector "
"(either a tuple/list of 3 elements or Vector)") == -1)
{
return NULL;
}
if (mathutils_array_parse(b, 3, 3, obj2,
"argument 4 must be a 3D vector "
"(either a tuple/list of 3 elements or Vector)") == -1)
{
return NULL;
}
ramp_blend(type, a, fac, b);
return Vector_CreatePyObject(a, 3, Py_NEW, NULL);
}
static PyObject *py_kdtree_find(PyKDTree *self, PyObject *args, PyObject *kwargs)
{
PyObject *py_co;
float co[3];
KDTreeNearest nearest;
const char *keywords[] = {"co", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwargs, (char *) "O:find", (char **)keywords,
&py_co))
{
return NULL;
}
if (mathutils_array_parse(co, 3, 3, py_co, "find: invalid 'co' arg") == -1)
return NULL;
if (self->count != self->count_balance) {
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find()");
return NULL;
}
nearest.index = -1;
BLI_kdtree_find_nearest(self->obj, co, &nearest);
return kdtree_nearest_to_py_and_check(&nearest);
}
//----------------------------------mathutils.Color() -------------------
//makes a new color for you to play with
static PyObject *Color_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
float col[3]= {0.0f, 0.0f, 0.0f};
if (kwds && PyDict_Size(kwds)) {
PyErr_SetString(PyExc_TypeError,
"mathutils.Color(): "
"takes no keyword args");
return NULL;
}
switch(PyTuple_GET_SIZE(args)) {
case 0:
break;
case 1:
if ((mathutils_array_parse(col, COLOR_SIZE, COLOR_SIZE, PyTuple_GET_ITEM(args, 0), "mathutils.Color()")) == -1)
return NULL;
break;
default:
PyErr_SetString(PyExc_TypeError,
"mathutils.Color(): "
"more then a single arg given");
return NULL;
}
return Color_CreatePyObject(col, Py_NEW, type);
}
/* parse an array of vectors */
int mathutils_array_parse_alloc_v(float **array, int array_dim, PyObject *value, const char *error_prefix)
{
PyObject *value_fast = NULL;
int i, size;
/* non list/tuple cases */
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
/* PySequence_Fast sets the error */
return -1;
}
size = PySequence_Fast_GET_SIZE(value_fast);
if (size != 0) {
float *fp;
fp = *array = PyMem_Malloc(size * array_dim * sizeof(float));
for (i = 0; i < size; i++, fp += array_dim) {
PyObject *item = PySequence_Fast_GET_ITEM(value, i);
if (mathutils_array_parse(fp, array_dim, array_dim, item, error_prefix) == -1) {
PyMem_Free(*array);
*array = NULL;
size = -1;
break;
}
}
}
Py_DECREF(value_fast);
return size;
}
//----------------------------------mathutils.Euler() -------------------
//makes a new euler for you to play with
static PyObject *Euler_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
PyObject *seq= NULL;
const char *order_str= NULL;
float eul[EULER_SIZE]= {0.0f, 0.0f, 0.0f};
short order= EULER_ORDER_XYZ;
if(kwds && PyDict_Size(kwds)) {
PyErr_SetString(PyExc_TypeError, "mathutils.Euler(): takes no keyword args");
return NULL;
}
if(!PyArg_ParseTuple(args, "|Os:mathutils.Euler", &seq, &order_str))
return NULL;
switch(PyTuple_GET_SIZE(args)) {
case 0:
break;
case 2:
if((order=euler_order_from_string(order_str, "mathutils.Euler()")) == -1)
return NULL;
/* intentionally pass through */
case 1:
if (mathutils_array_parse(eul, EULER_SIZE, EULER_SIZE, seq, "mathutils.Euler()") == -1)
return NULL;
break;
}
return newEulerObject(eul, order, Py_NEW, type);
}
static PyObject *py_kdtree_insert(PyKDTree *self, PyObject *args, PyObject *kwargs)
{
PyObject *py_co;
float co[3];
int index;
const char *keywords[] = {"co", "index", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwargs, (char *) "Oi:insert", (char **)keywords,
&py_co, &index))
{
return NULL;
}
if (mathutils_array_parse(co, 3, 3, py_co, "insert: invalid 'co' arg") == -1)
return NULL;
if (index < 0) {
PyErr_SetString(PyExc_ValueError, "negative index given");
return NULL;
}
if (self->count >= self->maxsize) {
PyErr_SetString(PyExc_RuntimeError, "Trying to insert more items than KDTree has room for");
return NULL;
}
BLI_kdtree_insert(self->obj, index, co);
self->count++;
Py_RETURN_NONE;
}
//----------------------------object[z:y]------------------------
//sequence slice (set)
static int Quaternion_ass_slice(QuaternionObject *self, int begin, int end, PyObject *seq)
{
int i, size;
float quat[QUAT_SIZE];
if (BaseMath_ReadCallback(self) == -1)
return -1;
CLAMP(begin, 0, QUAT_SIZE);
if (end < 0) end = (QUAT_SIZE + 1) + end;
CLAMP(end, 0, QUAT_SIZE);
begin = MIN2(begin, end);
if ((size = mathutils_array_parse(quat, 0, QUAT_SIZE, seq, "mathutils.Quaternion[begin:end] = []")) == -1)
return -1;
if (size != (end - begin)) {
PyErr_SetString(PyExc_ValueError,
"quaternion[begin:end] = []: "
"size mismatch in slice assignment");
return -1;
}
/* parsed well - now set in vector */
for (i = 0; i < size; i++)
self->quat[begin + i] = quat[i];
(void)BaseMath_WriteCallback(self);
return 0;
}
static int Quaternion_axis_vector_set(QuaternionObject *self, PyObject *value, void *UNUSED(closure))
{
float tquat[4];
float len;
float axis[3];
float angle;
if (BaseMath_ReadCallback(self) == -1)
return -1;
len = normalize_qt_qt(tquat, self->quat);
quat_to_axis_angle(axis, &angle, tquat); /* axis value is unused */
if (mathutils_array_parse(axis, 3, 3, value, "quat.axis = other") == -1)
return -1;
quat__axis_angle_sanitize(axis, &angle);
axis_angle_to_quat(self->quat, axis, angle);
mul_qt_fl(self->quat, len);
if (BaseMath_WriteCallback(self) == -1)
return -1;
return 0;
}
static PyObject *Quaternion_slerp(QuaternionObject *self, PyObject *args)
{
PyObject *value;
float tquat[QUAT_SIZE], quat[QUAT_SIZE], fac;
if (!PyArg_ParseTuple(args, "Of:slerp", &value, &fac)) {
PyErr_SetString(PyExc_TypeError,
"quat.slerp(): "
"expected Quaternion types and float");
return NULL;
}
if (BaseMath_ReadCallback(self) == -1)
return NULL;
if (mathutils_array_parse(tquat, QUAT_SIZE, QUAT_SIZE, value,
"Quaternion.slerp(other), invalid 'other' arg") == -1)
{
return NULL;
}
if (fac > 1.0f || fac < 0.0f) {
PyErr_SetString(PyExc_ValueError,
"quat.slerp(): "
"interpolation factor must be between 0.0 and 1.0");
return NULL;
}
interp_qt_qtqt(quat, self->quat, tquat, fac);
return Quaternion_CreatePyObject(quat, Py_NEW, Py_TYPE(self));
}
//----------------------------object[z:y]------------------------
//sequence slice (set)
static int Color_ass_slice(ColorObject *self, int begin, int end, PyObject *seq)
{
int i, size;
float col[COLOR_SIZE];
if (BaseMath_ReadCallback(self) == -1)
return -1;
CLAMP(begin, 0, COLOR_SIZE);
if (end<0) end= (COLOR_SIZE + 1) + end;
CLAMP(end, 0, COLOR_SIZE);
begin = MIN2(begin, end);
if ((size=mathutils_array_parse(col, 0, COLOR_SIZE, seq, "mathutils.Color[begin:end] = []")) == -1)
return -1;
if (size != (end - begin)) {
PyErr_SetString(PyExc_ValueError,
"color[begin:end] = []: "
"size mismatch in slice assignment");
return -1;
}
for (i= 0; i < COLOR_SIZE; i++)
self->col[begin + i] = col[i];
(void)BaseMath_WriteCallback(self);
return 0;
}
//----------------------------object[z:y]------------------------
//sequence slice (set)
static int Euler_ass_slice(EulerObject * self, int begin, int end, PyObject * seq)
{
int i, size;
float eul[EULER_SIZE];
if(!BaseMath_ReadCallback(self))
return -1;
CLAMP(begin, 0, EULER_SIZE);
if (end<0) end= (EULER_SIZE + 1) + end;
CLAMP(end, 0, EULER_SIZE);
begin = MIN2(begin,end);
if((size=mathutils_array_parse(eul, 0, EULER_SIZE, seq, "mathutils.Euler[begin:end] = []")) == -1)
return -1;
if(size != (end - begin)){
PyErr_SetString(PyExc_TypeError, "euler[begin:end] = []: size mismatch in slice assignment");
return -1;
}
for(i= 0; i < EULER_SIZE; i++)
self->eul[begin + i] = eul[i];
(void)BaseMath_WriteCallback(self);
return 0;
}
static int bpy_bmloopuv_uv_set(BPy_BMLoopUV *self, PyObject *value, void *UNUSED(closure))
{
float tvec[2];
if (mathutils_array_parse(tvec, 2, 2, value, "BMLoopUV.uv") != -1) {
copy_v2_v2(self->data->uv, tvec);
return 0;
}
else {
return -1;
}
}
static int bpy_bmvertskin_radius_set(BPy_BMVertSkin *self, PyObject *value, void *UNUSED(closure))
{
float tvec[2];
if (mathutils_array_parse(tvec, 2, 2, value, "BMVertSkin.radius") != -1) {
copy_v2_v2(self->data->radius, tvec);
return 0;
}
else {
return -1;
}
}
int BPy_BMLoopColor_AssignPyObject(struct MLoopCol *mloopcol, PyObject *value)
{
float tvec[4];
if (mathutils_array_parse(tvec, 4, 4, value, "BMLoopCol") != -1) {
mloopcol_from_float(mloopcol, tvec);
return 0;
}
else {
return -1;
}
}
static int FrsMaterial_emission_set(BPy_FrsMaterial *self, PyObject *value, void *UNUSED(closure))
{
float color[4];
if (mathutils_array_parse(color, 4, 4, value,
"value must be a 4-dimensional vector") == -1)
{
return -1;
}
self->m->setEmission(color[0], color[1], color[2], color[3]);
return 0;
}
static int StrokeAttribute_color_set(BPy_StrokeAttribute *self, PyObject *value, void *UNUSED(closure))
{
float v[3];
if (mathutils_array_parse(v, 3, 3, value,
"value must be a 3-dimensional vector") == -1)
{
return -1;
}
self->sa->setColor(v[0], v[1], v[2]);
return 0;
}
static int StrokeAttribute_thickness_set(BPy_StrokeAttribute *self, PyObject *value, void *UNUSED(closure))
{
float v[2];
if (mathutils_array_parse(v, 2, 2, value,
"value must be a 2-dimensional vector") == -1)
{
return -1;
}
self->sa->setThickness(v[0], v[1]);
return 0;
}
static int SVertex_point_2d_set(BPy_SVertex *self, PyObject *value, void *UNUSED(closure))
{
float v[3];
if (mathutils_array_parse(v, 3, 3, value,
"value must be a 3-dimensional vector") == -1)
{
return -1;
}
Vec3r p(v[0], v[1], v[2]);
self->sv->setPoint2D(p);
return 0;
}
static int FEdgeSmooth_normal_set(BPy_FEdgeSmooth *self, PyObject *value, void *UNUSED(closure))
{
float v[3];
if (mathutils_array_parse(v, 3, 3, value,
"value must be a 3-dimensional vector") == -1)
{
return -1;
}
Vec3r p(v[0], v[1], v[2]);
self->fes->setNormal(p);
return 0;
}
static PyObject *Quaternion_dot(QuaternionObject *self, PyObject *value)
{
float tquat[QUAT_SIZE];
if (BaseMath_ReadCallback(self) == -1)
return NULL;
if (mathutils_array_parse(tquat, QUAT_SIZE, QUAT_SIZE, value,
"Quaternion.dot(other), invalid 'other' arg") == -1)
{
return NULL;
}
return PyFloat_FromDouble(dot_qtqt(self->quat, tquat));
}
static PyObject *Quaternion_cross(QuaternionObject *self, PyObject *value)
{
float quat[QUAT_SIZE], tquat[QUAT_SIZE];
if (BaseMath_ReadCallback(self) == -1)
return NULL;
if (mathutils_array_parse(tquat, QUAT_SIZE, QUAT_SIZE, value,
"Quaternion.cross(other), invalid 'other' arg") == -1) {
return NULL;
}
mul_qt_qtqt(quat, self->quat, tquat);
return Quaternion_CreatePyObject(quat, Py_NEW, Py_TYPE(self));
}
static PyObject *Euler_make_compatible(EulerObject * self, PyObject *value)
{
float teul[EULER_SIZE];
if(!BaseMath_ReadCallback(self))
return NULL;
if(mathutils_array_parse(teul, EULER_SIZE, EULER_SIZE, value, "euler.make_compatible(other), invalid 'other' arg") == -1)
return NULL;
compatible_eul(self->eul, teul);
(void)BaseMath_WriteCallback(self);
Py_RETURN_NONE;
}
static PyObject *Quaternion_rotation_difference(QuaternionObject *self, PyObject *value)
{
float tquat[QUAT_SIZE], quat[QUAT_SIZE];
if (BaseMath_ReadCallback(self) == -1)
return NULL;
if (mathutils_array_parse(tquat, QUAT_SIZE, QUAT_SIZE, value,
"Quaternion.difference(other), invalid 'other' arg") == -1)
{
return NULL;
}
rotation_between_quats_to_quat(quat, self->quat, tquat);
return Quaternion_CreatePyObject(quat, Py_NEW, Py_TYPE(self));
}
static int Color_hsv_set(ColorObject *self, PyObject *value, void *UNUSED(closure))
{
float hsv[3];
if (mathutils_array_parse(hsv, 3, 3, value, "mathutils.Color.hsv = value") == -1)
return -1;
CLAMP(hsv[0], 0.0f, 1.0f);
CLAMP(hsv[1], 0.0f, 1.0f);
CLAMP(hsv[2], 0.0f, 1.0f);
hsv_to_rgb_v(hsv, self->col);
if (BaseMath_WriteCallback(self) == -1)
return -1;
return 0;
}
static PyObject *py_kdtree_find_range(PyKDTree *self, PyObject *args, PyObject *kwargs)
{
PyObject *py_list;
PyObject *py_co;
float co[3];
KDTreeNearest *nearest = NULL;
float radius;
int i, found;
const char *keywords[] = {"co", "radius", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwargs, (char *) "Of:find_range", (char **)keywords,
&py_co, &radius))
{
return NULL;
}
if (mathutils_array_parse(co, 3, 3, py_co, "find_range: invalid 'co' arg") == -1)
return NULL;
if (radius < 0.0f) {
PyErr_SetString(PyExc_RuntimeError, "negative radius given");
return NULL;
}
if (self->count != self->count_balance) {
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find_range()");
return NULL;
}
found = BLI_kdtree_range_search(self->obj, co, &nearest, radius);
py_list = PyList_New(found);
for (i = 0; i < found; i++) {
PyList_SET_ITEM(py_list, i, kdtree_nearest_to_py(&nearest[i]));
}
if (nearest) {
MEM_freeN(nearest);
}
return py_list;
}
static PyObject *py_kdtree_find_n(PyKDTree *self, PyObject *args, PyObject *kwargs)
{
PyObject *py_list;
PyObject *py_co;
float co[3];
KDTreeNearest *nearest;
unsigned int n;
int i, found;
const char *keywords[] = {"co", "n", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwargs, (char *) "OI:find_n", (char **)keywords,
&py_co, &n))
{
return NULL;
}
if (mathutils_array_parse(co, 3, 3, py_co, "find_n: invalid 'co' arg") == -1)
return NULL;
if (UINT_IS_NEG(n)) {
PyErr_SetString(PyExc_RuntimeError, "negative 'n' given");
return NULL;
}
if (self->count != self->count_balance) {
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find_n()");
return NULL;
}
nearest = MEM_mallocN(sizeof(KDTreeNearest) * n, __func__);
found = BLI_kdtree_find_nearest_n(self->obj, co, nearest, n);
py_list = PyList_New(found);
for (i = 0; i < found; i++) {
PyList_SET_ITEM(py_list, i, kdtree_nearest_to_py(&nearest[i]));
}
MEM_freeN(nearest);
return py_list;
}
static PyObject *bpy_bm_geometry_intersect_face_point(BPy_BMFace *UNUSED(self), PyObject *args)
{
BPy_BMFace *py_face;
PyObject *py_point;
float point[3];
bool ret;
if (!PyArg_ParseTuple(args,
"O!O:intersect_face_point",
&BPy_BMFace_Type, &py_face,
&py_point))
{
return NULL;
}
BPY_BM_CHECK_OBJ(py_face);
if (mathutils_array_parse(point, 3, 3, py_point, "intersect_face_point") == -1) {
return NULL;
}
ret = BM_face_point_inside_test(py_face->f, point);
return PyBool_FromLong(ret);
}
int BPy_BMLayerItem_SetItem(BPy_BMElem *py_ele, BPy_BMLayerItem *py_layer, PyObject *py_value)
{
int ret = 0;
void *value = bpy_bmlayeritem_ptr_get(py_ele, py_layer);
if (UNLIKELY(value == NULL)) {
return -1;
}
switch (py_layer->type) {
case CD_MDEFORMVERT:
{
ret = BPy_BMDeformVert_AssignPyObject(value, py_value);
break;
}
case CD_PROP_FLT:
case CD_PAINT_MASK:
{
float tmp_val = PyFloat_AsDouble(py_value);
if (UNLIKELY(tmp_val == -1 && PyErr_Occurred())) {
PyErr_Format(PyExc_TypeError, "expected a float, not a %.200s", Py_TYPE(py_value)->tp_name);
ret = -1;
}
else {
*(float *)value = tmp_val;
}
break;
}
case CD_PROP_INT:
{
int tmp_val = PyC_Long_AsI32(py_value);
if (UNLIKELY(tmp_val == -1 && PyErr_Occurred())) {
/* error is set */
ret = -1;
}
else {
*(int *)value = tmp_val;
}
break;
}
case CD_PROP_STR:
{
MStringProperty *mstring = value;
char *tmp_val;
Py_ssize_t tmp_val_len;
if (UNLIKELY(PyBytes_AsStringAndSize(py_value, &tmp_val, &tmp_val_len) == -1)) {
PyErr_Format(PyExc_TypeError, "expected bytes, not a %.200s", Py_TYPE(py_value)->tp_name);
ret = -1;
}
else {
if (tmp_val_len > sizeof(mstring->s))
tmp_val_len = sizeof(mstring->s);
memcpy(mstring->s, tmp_val, tmp_val_len);
mstring->s_len = tmp_val_len;
}
break;
}
case CD_MTEXPOLY:
{
ret = BPy_BMTexPoly_AssignPyObject(value, py_value);
break;
}
case CD_MLOOPUV:
{
ret = BPy_BMLoopUV_AssignPyObject(value, py_value);
break;
}
case CD_MLOOPCOL:
{
ret = BPy_BMLoopColor_AssignPyObject(value, py_value);
break;
}
case CD_SHAPEKEY:
{
float tmp_val[3];
if (UNLIKELY(mathutils_array_parse(tmp_val, 3, 3, py_value, "BMVert[shape] = value") == -1)) {
ret = -1;
}
else {
copy_v3_v3((float *)value, tmp_val);
}
break;
}
case CD_BWEIGHT:
{
float tmp_val = PyFloat_AsDouble(py_value);
if (UNLIKELY(tmp_val == -1 && PyErr_Occurred())) {
PyErr_Format(PyExc_TypeError, "expected a float, not a %.200s", Py_TYPE(py_value)->tp_name);
ret = -1;
}
else {
*(float *)value = clamp_f(tmp_val, 0.0f, 1.0f);
}
break;
}
case CD_CREASE:
{
float tmp_val = PyFloat_AsDouble(py_value);
if (UNLIKELY(tmp_val == -1 && PyErr_Occurred())) {
PyErr_Format(PyExc_TypeError, "expected a float, not a %.200s", Py_TYPE(py_value)->tp_name);
ret = -1;
}
else {
*(float *)value = clamp_f(tmp_val, 0.0f, 1.0f);
}
break;
}
case CD_MVERT_SKIN:
{
ret = BPy_BMVertSkin_AssignPyObject(value, py_value);
break;
}
default:
{
PyErr_SetString(PyExc_AttributeError, "readonly / unsupported type");
ret = -1;
break;
}
}
return ret;
}
int convert_v2(PyObject *obj, void *v)
{
return mathutils_array_parse((float *)v, 2, 2, obj, "Error parsing 2D vector");
}