Python API: add Vector.orthogonal() method

source/blender/python/mathutils/mathutils_Vector.c

@@ -800,6 +800,36 @@ static PyObject *Vector_to_track_quat(VectorObject *self, PyObject *args)
 	return Quaternion_CreatePyObject(quat, Py_NEW, NULL);
 }
 
+PyDoc_STRVAR(Vector_orthogonal_doc,
+".. method:: orthogonal()\n"
+"\n"
+"   Return a perpendicular vector.\n"
+"\n"
+"   :return: a new vector 90 degrees from this vector.\n"
+"   :rtype: :class:`Vector`\n"
+"\n"
+"   .. note:: the axis is undefined, only use when any orthogonal vector is acceptable.\n"
+);
+static PyObject *Vector_orthogonal(VectorObject *self)
+{
+	float vec[3];
+
+	if (self->size != 3) {
+		PyErr_SetString(PyExc_TypeError,
+		                "Vector.orthogonal(): "
+		                "Vector must be 3D");
+		return NULL;
+	}
+
+	if (BaseMath_ReadCallback(self) == -1)
+		return NULL;
+
+	ortho_v3_v3(vec, self->vec);
+
+	return Vector_CreatePyObject(vec, self->size, Py_NEW, Py_TYPE(self));
+}
+
+
 /*
  * Vector.reflect(mirror): return a reflected vector on the mirror normal
  *  vec - ((2 * DotVecs(vec, mirror)) * mirror)
@@ -2768,6 +2798,7 @@ static struct PyMethodDef Vector_methods[] = {
 	{"resize_4d", (PyCFunction) Vector_resize_4d, METH_NOARGS, Vector_resize_4d_doc},
 	{"to_tuple", (PyCFunction) Vector_to_tuple, METH_VARARGS, Vector_to_tuple_doc},
 	{"to_track_quat", (PyCFunction) Vector_to_track_quat, METH_VARARGS, Vector_to_track_quat_doc},
+	{"orthogonal", (PyCFunction) Vector_orthogonal, METH_NOARGS, Vector_orthogonal_doc},
 
 	/* operation between 2 or more types  */
 	{"reflect", (PyCFunction) Vector_reflect, METH_O, Vector_reflect_doc},

source/tests/bl_pyapi_mathutils.py

@@ -3,6 +3,32 @@ import unittest
 from test import support
 from mathutils import Matrix, Vector
 from mathutils import kdtree
+import math
+
+# keep globals immutable
+vector_data = (
+    (1.0, 0.0, 0.0),
+    (0.0, 1.0, 0.0),
+    (0.0, 0.0, 1.0),
+
+    (1.0, 1.0, 1.0),
+
+    (0.33783, 0.715698, -0.611206),
+    (-0.944031, -0.326599, -0.045624),
+    (-0.101074, -0.416443, -0.903503),
+    (0.799286, 0.49411, -0.341949),
+    (-0.854645, 0.518036, 0.033936),
+    (0.42514, -0.437866, -0.792114),
+    (-0.358948, 0.597046, 0.717377),
+    (-0.985413,0.144714, 0.089294),
+    )
+
+# get data at different scales
+vector_data = sum(
+    (tuple(tuple(a * scale for a in v) for v in vector_data)
+    for scale in (s * sign for s in (0.0001, 0.1, -1.0, 10.0, 1000.0, 100000.0)
+                           for sign in (1.0, -1.0))), ()) + ((0.0, 0.0, 0.0),)
+
 
 class MatrixTesting(unittest.TestCase):
     def test_matrix_column_access(self):
@@ -149,6 +175,17 @@ class MatrixTesting(unittest.TestCase):
         self.assertEqual(mat * mat, prod_mat)
 
 
+class VectorTesting(unittest.TestCase):
+
+    def test_orthogonal(self):
+
+        angle_90d = math.pi / 2.0
+        for v in vector_data:
+            v = Vector(v)
+            if v.length_squared != 0.0:
+                self.assertAlmostEqual(v.angle(v.orthogonal()), angle_90d)
+
+
 class KDTreeTesting(unittest.TestCase):
 
     @staticmethod
@@ -256,6 +293,7 @@ class KDTreeTesting(unittest.TestCase):
 def test_main():
     try:
         support.run_unittest(MatrixTesting)
+        support.run_unittest(VectorTesting)
         support.run_unittest(KDTreeTesting)
     except:
         import traceback