Python API: add Vector.orthogonal() method
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@ -800,6 +800,36 @@ static PyObject *Vector_to_track_quat(VectorObject *self, PyObject *args)
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return Quaternion_CreatePyObject(quat, Py_NEW, NULL);
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}
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PyDoc_STRVAR(Vector_orthogonal_doc,
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".. method:: orthogonal()\n"
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"\n"
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" Return a perpendicular vector.\n"
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"\n"
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" :return: a new vector 90 degrees from this vector.\n"
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" :rtype: :class:`Vector`\n"
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"\n"
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" .. note:: the axis is undefined, only use when any orthogonal vector is acceptable.\n"
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);
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static PyObject *Vector_orthogonal(VectorObject *self)
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{
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float vec[3];
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if (self->size != 3) {
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PyErr_SetString(PyExc_TypeError,
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"Vector.orthogonal(): "
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"Vector must be 3D");
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return NULL;
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}
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if (BaseMath_ReadCallback(self) == -1)
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return NULL;
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ortho_v3_v3(vec, self->vec);
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return Vector_CreatePyObject(vec, self->size, Py_NEW, Py_TYPE(self));
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}
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/*
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* Vector.reflect(mirror): return a reflected vector on the mirror normal
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* vec - ((2 * DotVecs(vec, mirror)) * mirror)
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@ -2768,6 +2798,7 @@ static struct PyMethodDef Vector_methods[] = {
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{"resize_4d", (PyCFunction) Vector_resize_4d, METH_NOARGS, Vector_resize_4d_doc},
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{"to_tuple", (PyCFunction) Vector_to_tuple, METH_VARARGS, Vector_to_tuple_doc},
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{"to_track_quat", (PyCFunction) Vector_to_track_quat, METH_VARARGS, Vector_to_track_quat_doc},
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{"orthogonal", (PyCFunction) Vector_orthogonal, METH_NOARGS, Vector_orthogonal_doc},
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/* operation between 2 or more types */
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{"reflect", (PyCFunction) Vector_reflect, METH_O, Vector_reflect_doc},
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@ -3,6 +3,32 @@ import unittest
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from test import support
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from mathutils import Matrix, Vector
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from mathutils import kdtree
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import math
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# keep globals immutable
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vector_data = (
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(1.0, 0.0, 0.0),
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(0.0, 1.0, 0.0),
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(0.0, 0.0, 1.0),
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(1.0, 1.0, 1.0),
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(0.33783, 0.715698, -0.611206),
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(-0.944031, -0.326599, -0.045624),
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(-0.101074, -0.416443, -0.903503),
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(0.799286, 0.49411, -0.341949),
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(-0.854645, 0.518036, 0.033936),
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(0.42514, -0.437866, -0.792114),
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(-0.358948, 0.597046, 0.717377),
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(-0.985413,0.144714, 0.089294),
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)
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# get data at different scales
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vector_data = sum(
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(tuple(tuple(a * scale for a in v) for v in vector_data)
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for scale in (s * sign for s in (0.0001, 0.1, -1.0, 10.0, 1000.0, 100000.0)
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for sign in (1.0, -1.0))), ()) + ((0.0, 0.0, 0.0),)
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class MatrixTesting(unittest.TestCase):
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def test_matrix_column_access(self):
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@ -149,6 +175,17 @@ class MatrixTesting(unittest.TestCase):
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self.assertEqual(mat * mat, prod_mat)
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class VectorTesting(unittest.TestCase):
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def test_orthogonal(self):
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angle_90d = math.pi / 2.0
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for v in vector_data:
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v = Vector(v)
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if v.length_squared != 0.0:
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self.assertAlmostEqual(v.angle(v.orthogonal()), angle_90d)
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class KDTreeTesting(unittest.TestCase):
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@staticmethod
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@ -256,6 +293,7 @@ class KDTreeTesting(unittest.TestCase):
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def test_main():
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try:
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support.run_unittest(MatrixTesting)
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support.run_unittest(VectorTesting)
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support.run_unittest(KDTreeTesting)
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except:
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import traceback
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