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add Matrix.normalized(), handy for transforming normals.

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This commit is contained in:
Campbell Barton
2012-12-16 04:05:16 +00:00
parent 48935ac3b5
commit 1886ae38b4
1 changed files with 49 additions and 0 deletions
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49
source/blender/python/mathutils/mathutils_Matrix.c
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@@ -1533,6 +1533,53 @@ static PyObject *Matrix_transposed(MatrixObject *self)
return matrix__apply_to_copy((PyNoArgsFunction)Matrix_transpose, self);
}
/*---------------------------matrix.normalize() ------------------*/
PyDoc_STRVAR(Matrix_normalize_doc,
".. method:: normalize()\n"
"\n"
" Normalize each of the columns of the matrix (useful for transforming unit length normals).\n"
);
static PyObject *Matrix_normalize(MatrixObject *self)
{
if (BaseMath_ReadCallback(self) == -1)
return NULL;
if (self->num_col != self->num_row) {
PyErr_SetString(PyExc_ValueError,
"Matrix.normalize(): "
"only square matrices are supported");
return NULL;
}
if (self->num_col == 3) {
normalize_m3((float (*)[3])self->matrix);
}
else if (self->num_col == 4) {
normalize_m4((float (*)[4])self->matrix);
}
else {
PyErr_SetString(PyExc_ValueError,
"Matrix.normalize(): "
"can only use a 3x3 or 4x4 matrix");
}
(void)BaseMath_WriteCallback(self);
Py_RETURN_NONE;
}
PyDoc_STRVAR(Matrix_normalized_doc,
".. method:: normalized()\n"
"\n"
" Return a row normalized matrix\n"
"\n"
" :return: a row normalized matrix\n"
" :rtype: :class:`Matrix`\n"
);
static PyObject *Matrix_normalized(MatrixObject *self)
{
return matrix__apply_to_copy((PyNoArgsFunction)Matrix_normalize, self);
}
/*---------------------------matrix.zero() -----------------------*/
PyDoc_STRVAR(Matrix_zero_doc,
".. method:: zero()\n"
@@ -2371,6 +2418,8 @@ static struct PyMethodDef Matrix_methods[] = {
/* operate on original or copy */
{"transpose", (PyCFunction) Matrix_transpose, METH_NOARGS, Matrix_transpose_doc},
{"transposed", (PyCFunction) Matrix_transposed, METH_NOARGS, Matrix_transposed_doc},
{"normalize", (PyCFunction) Matrix_normalize, METH_NOARGS, Matrix_normalize_doc},
{"normalized", (PyCFunction) Matrix_normalized, METH_NOARGS, Matrix_normalized_doc},
{"invert", (PyCFunction) Matrix_invert, METH_NOARGS, Matrix_invert_doc},
{"inverted", (PyCFunction) Matrix_inverted, METH_NOARGS, Matrix_inverted_doc},
{"adjugate", (PyCFunction) Matrix_adjugate, METH_NOARGS, Matrix_adjugate_doc},