diff --git a/test/test_global_qbx.py b/test/test_global_qbx.py
index ca276959ab3ab51b6bec494059a97b0952894283..fd19c9733b5c822613b7ec264e162ab1b6e08726 100644
--- a/test/test_global_qbx.py
+++ b/test/test_global_qbx.py
@@ -219,7 +219,7 @@ def test_source_refinement_2d(ctx_factory, curve_name, curve_f, nelements):
 
 @pytest.mark.parametrize(("surface_name", "surface_f", "order"), [
     ("sphere", partial(generate_icosphere, 1), 4),
-    ("torus", partial(generate_torus, 3, 1, n_inner=10, n_outer=7), 6),
+    ("torus", partial(generate_torus, 3, 1, n_minor=10, n_major=7), 6),
     ])
 def test_source_refinement_3d(ctx_factory, surface_name, surface_f, order):
     mesh = surface_f(order=order)
diff --git a/test/test_layer_pot.py b/test/test_layer_pot.py
index 2e7aca67dbf1635a1b5169dc5c8dcec31db407e9..74b918164c0110ee9b10f4929e9e8b77bd32e77c 100644
--- a/test/test_layer_pot.py
+++ b/test/test_layer_pot.py
@@ -338,7 +338,7 @@ def test_3d_jump_relations(ctx_factory, relation, visualize=False):
         from meshmode.mesh.generation import generate_torus
         mesh = generate_torus(
                 5, 2, order=target_order,
-                n_outer=2*nel_factor, n_inner=nel_factor)
+                n_major=2*nel_factor, n_minor=nel_factor)
 
         from meshmode.discretization import Discretization
         from meshmode.discretization.poly_element import \
diff --git a/test/test_symbolic.py b/test/test_symbolic.py
index 40e8382fc8ff5b08013e1ed21726d4f7684f4df5..508ff2961b7b46a3a9b2eaa71530c1c8f4d58076 100644
--- a/test/test_symbolic.py
+++ b/test/test_symbolic.py
@@ -73,12 +73,12 @@ def get_ellipse_with_ref_mean_curvature(cl_ctx, nelements, aspect=1):
 
 def get_torus_with_ref_mean_curvature(cl_ctx, h):
     order = 4
-    r_inner = 1.0
-    r_outer = 3.0
+    r_minor = 1.0
+    r_major = 3.0
 
     from meshmode.mesh.generation import generate_torus
-    mesh = generate_torus(r_outer, r_inner,
-            n_outer=h, n_inner=h, order=order)
+    mesh = generate_torus(r_major, r_minor,
+            n_major=h, n_minor=h, order=order)
     discr = Discretization(cl_ctx, mesh,
         InterpolatoryQuadratureSimplexGroupFactory(order))
 
@@ -86,8 +86,8 @@ def get_torus_with_ref_mean_curvature(cl_ctx, h):
         nodes = discr.nodes().get(queue=queue)
 
     # copied from meshmode.mesh.generation.generate_torus
-    a = r_outer
-    b = r_inner
+    a = r_major
+    b = r_minor
 
     u = np.arctan2(nodes[1], nodes[0])
     rvec = np.array([np.cos(u), np.sin(u), np.zeros_like(u)])