Fixup.

Author: jhale

demo/demo_kirchhoff-love-clamped.py

@@ -211,7 +211,7 @@ def all_boundary(x):
     L,
     bcs=bcs,
     petsc_options={"ksp_type": "preonly", "pc_type": "lu", "pc_factor_mat_solver_type": "mumps"},
-    petsc_options_prefix="problem_"
+    petsc_options_prefix="problem_",
 )
 u_h = problem.solve()
 

demo/demo_nonlinear-naghdi-clamped-semicylinder.py

@@ -28,6 +28,7 @@
 #
 # %%
 import typing
+import warnings
 from pathlib import Path
 
 # %%
@@ -50,6 +51,8 @@
 from dolfinx.nls.petsc import NewtonSolver
 from ufl import grad, inner, split
 
+warnings.simplefilter("default", DeprecationWarning)
+
 # %% [markdown]
 # We consider a semi-cylindrical shell of radius $r$ and axis length $L$. The
 # shell is made of a linear elastic isotropic homogeneous material with Young
@@ -545,9 +548,7 @@ def compute_cell_contributions(V, points):
     at that point"""
     # Determine what process owns a point and what cells it lies within
     mesh = V.mesh
-    point_ownership_data = dolfinx.geometry.determine_point_ownership(
-        mesh, points, 1e-6
-    )
+    point_ownership_data = dolfinx.geometry.determine_point_ownership(mesh, points, 1e-6)
 
     owning_points = np.asarray(point_ownership_data.dest_points).reshape(-1, 3)
     cells = point_ownership_data.dest_cells

demo/demo_reissner-mindlin-clamped-tdnns.py

@@ -244,7 +244,7 @@ def all_boundary(x):
     L,
     bcs=bcs,
     petsc_options={"ksp_type": "preonly", "pc_type": "lu", "pc_factor_mat_solver_type": "mumps"},
-    petsc_options_prefix="problem_"
+    petsc_options_prefix="problem_",
 )
 u_h = problem.solve()
 

demo/demo_reissner-mindlin-clamped.py

@@ -222,7 +222,7 @@ def all_boundary(x):
     -F,
     bcs=bcs,
     petsc_options={"ksp_type": "preonly", "pc_type": "lu", "pc_factor_mat_solver_type": "mumps"},
-    petsc_options_prefix="problem_"
+    petsc_options_prefix="problem_",
 )
 u_ = problem.solve()
 

demo/demo_reissner-mindlin-simply-supported.py

@@ -239,7 +239,7 @@ def make_bc(value, V, on_boundary):
     -F,
     bcs=bcs,
     petsc_options={"ksp_type": "preonly", "pc_type": "lu", "pc_factor_mat_solver_type": "mumps"},
-    petsc_options_prefix="problem_"
+    petsc_options_prefix="problem_",
 )
 u_ = problem.solve()