fix new ruff UP031 errors

examples/advection/surface.py

@@ -222,7 +222,7 @@ def rhs(t, u):
     step = 0
 
     event = dt_stepper.StateComputed(0.0, 0, 0, u0)
-    plot(event, "fld-surface-%04d" % 0)
+    plot(event, f"fld-surface-{0:04d}")
 
     if visualize and dim == 3:
         from grudge.shortcuts import make_visualizer
@@ -253,7 +253,7 @@ def rhs(t, u):
         step += 1
         if step % 10 == 0:
             norm_u = actx.to_numpy(op.norm(dcoll, event.state_component, 2))
-            plot(event, "fld-surface-%04d" % step)
+            plot(event, f"fld-surface-{step:04d}")
 
         logger.info("[%04d] t = %.5f |u| = %.5e", step, event.t, norm_u)
 

examples/advection/var-velocity.py

@@ -211,7 +211,7 @@ def rhs(t, u):
 
         if step % 10 == 0:
             norm_u = actx.to_numpy(op.norm(dcoll, event.state_component, 2))
-            plot(event, "fld-var-velocity-%04d" % step)
+            plot(event, f"fld-var-velocity-{step:04d}")
 
             logger.info("[%04d] t = %.5f |u| = %.5e", step, event.t, norm_u)
             # NOTE: These are here to ensure the solution is bounded for the

examples/advection/weak.py

@@ -184,7 +184,7 @@ def rhs(t, u):
 
         if step % 10 == 0:
             norm_u = actx.to_numpy(op.norm(dcoll, event.state_component, 2))
-            plot(event, "fld-weak-%04d" % step)
+            plot(event, f"fld-weak-{step:04d}")
 
         step += 1
         logger.info("[%04d] t = %.5f |u| = %.5e", step, event.t, norm_u)

grudge/geometry/metrics.py

@@ -837,7 +837,7 @@ def second_fundamental_form(
     elif dim == 2:
         second_ref_axes = [((0, 2),), ((0, 1), (1, 1)), ((1, 2),)]
     else:
-        raise ValueError("%dD surfaces not supported" % dim)
+        raise ValueError(f"{dim}D surfaces not supported")
 
     from pytools import flatten
 

grudge/op.py

@@ -217,8 +217,9 @@ def _gradient_kernel(actx, out_discr, in_discr, get_diff_mat, inv_jac_mat, vec,
             inv_jac_mat)]
 
     return make_obj_array([
-            DOFArray(
-                actx, data=tuple([pgg_i[xyz_axis] for pgg_i in per_group_grads]))
+            DOFArray(actx, data=tuple([  # noqa: C409
+                pgg_i[xyz_axis] for pgg_i in per_group_grads
+                ]))
             for xyz_axis in range(out_discr.ambient_dim)])
 
 

test/test_grudge.py

@@ -784,7 +784,7 @@ def test_convergence_advec(actx_factory, mesh_name, mesh_pars, op_type, flux_typ
             elif dim == 3:
                 dt_factor = 2
             else:
-                raise ValueError("dt_factor not known for %dd" % dim)
+                raise ValueError(f"dt_factor not known for {dim}d")
         elif mesh_name.startswith("warped"):
             dim = int(mesh_name[-1:])
             mesh = mgen.generate_warped_rect_mesh(dim, order=order,
@@ -795,7 +795,7 @@ def test_convergence_advec(actx_factory, mesh_name, mesh_pars, op_type, flux_typ
             elif dim == 3:
                 dt_factor = 2
             else:
-                raise ValueError("dt_factor not known for %dd" % dim)
+                raise ValueError(f"dt_factor not known for {dim}d")
         else:
             raise ValueError("invalid mesh name: " + mesh_name)
 
@@ -861,7 +861,7 @@ def rhs(t, u, adv_operator=adv_operator):
 
             if visualize:
                 vis.write_vtk_file(
-                    "fld-%s-%04d.vtu" % (mesh_par, step),
+                    f"fld-{mesh_par}-{step:04d}vtu" % (mesh_par, step),
                     [("u", u)]
                 )