Update version to 0.4.0

.github/workflows/build-publish.yml

@@ -20,7 +20,7 @@ jobs:
   build:
     # The type of runner that the job will run on
     runs-on: ubuntu-latest
-    container: dokken92/dolfinx_custom:17032022
+    container: dokken92/dolfinx_custom:02052022
 
     env:
       HDF5_MPI: "ON"

.github/workflows/docker-image.yml

@@ -37,4 +37,4 @@ jobs:
         run: echo ${{ secrets.DOCKERHUB_TOKEN }} | docker login -u ${{ secrets.DOCKERHUB_USERNAME }} --password-stdin
       - name: Push to the DockerHub registry
         run: |
-          docker push dokken92/dolfinx_custom:17032022
+          docker push dokken92/dolfinx_custom:02052022

Changelog.md

@@ -1,6 +1,9 @@
 # Changelog
 
-## Dev 
+## Dev
+- No changes
+
+## 0.4.0 (05.02.2021)
 - All `pyvista` plotting has been rewritten to use `ipygany` and `pythreejs` as well as using a cleaner interface.
 - `dolfinx.plot.create_vtk_topology` has been renamed to `dolfinx.plot.create_vtk_mesh` and can now be directly used as input to `pyvista.UnstructuredGrid`.
 - `dolfinx.fem.Function.compute_point_values` has been deprecated. Interpolation into a CG-1 is now the way of getting vertex values.

Dockerfile

@@ -1,4 +1,4 @@
-FROM dokken92/dolfinx_custom:17032022
+FROM dokken92/dolfinx_custom:02052022
 
 # create user with a home directory
 ARG NB_USER

README.md

@@ -31,4 +31,4 @@ and run
 ```bash
  docker run --rm -ti -v $(pwd):/root/shared -w /root/shared  --init -p 8888:8888 local_lab_env
  ```
-from the main directory
+from the main directory.

chapter1/fundamentals_code.ipynb

@@ -142,7 +142,7 @@
     "We now have the boundary data (and in this case the solution of \n",
     "the finite element problem) represented in the discrete function space.\n",
     "Next we would like to apply the boundary values to all degrees of freedom that are on the boundary of the discrete domain. We start by identifying the facets (line-segments) representing the outer boundary, using `dolfinx.mesh.compute_boundary_facets`.\n",
-    "This function returns an array of booleans of the same size as the number of facets on this processor, where `True` indicates that the local facet $i$ is on the boundary. To reduce this to only the indices that are `True`, we use [`numpy.flatnonzero`](https://numpy.org/doc/stable/reference/generated/numpy.flatnonzero.html)."
+    "This function returns an array of integers of the same size as the number of facets on this processor, where `1` indicates that the local facet $i$ is on the boundary. To reduce this to only the indices that are equal to `1`, we use [`numpy.flatnonzero`](https://numpy.org/doc/stable/reference/generated/numpy.flatnonzero.html)."
    ]
   },
   {
@@ -343,7 +343,7 @@
      "output_type": "stream",
      "text": [
       "Error_L2 : 8.24e-03\n",
-      "Error_max : 2.22e-15\n"
+      "Error_max : 2.00e-15\n"
      ]
     }
    ],
@@ -409,12 +409,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c0fbae39627443d095ae8e138ed6eb5b",
+       "model_id": "be85adc5c1eb4871a7d86de3509c438e",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(color='#fefefe', inten…"
+       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(intensity=0.25, positi…"
       ]
      },
      "metadata": {},
@@ -464,12 +464,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8865425a451440cbbab2398e17448c41",
+       "model_id": "12ac381a9d92468b88ac86a9348fb316",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(color='#fefefe', inten…"
+       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(intensity=0.25, positi…"
       ]
      },
      "metadata": {},
@@ -503,7 +503,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "291ccff816554752956b35a46b1ccc07",
+       "model_id": "1089f8c8d3d648c5be3284509702bf97",
        "version_major": 2,
        "version_minor": 0
       },
@@ -533,7 +533,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [

chapter1/membrane_code.ipynb

@@ -83,10 +83,10 @@
      "text": [
       "Info    : Meshing 1D...\n",
       "Info    : Meshing curve 1 (Ellipse)\n",
-      "Info    : Done meshing 1D (Wall 0.000709738s, CPU 0.000866s)\n",
+      "Info    : Done meshing 1D (Wall 0.000912963s, CPU 0.000868s)\n",
       "Info    : Meshing 2D...\n",
       "Info    : Meshing surface 1 (Plane, Frontal-Delaunay)\n",
-      "Info    : Done meshing 2D (Wall 0.0881007s, CPU 0.086016s)\n",
+      "Info    : Done meshing 2D (Wall 0.0879933s, CPU 0.085647s)\n",
       "Info    : 1550 nodes 3099 elements\n"
      ]
     }
@@ -304,12 +304,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b488188eb55746359cfb4e887ee24fbb",
+       "model_id": "2c73502e2eb841e0836fcec2f73df258",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(color='#fefefe', inten…"
+       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(intensity=0.25, positi…"
       ]
      },
      "metadata": {},
@@ -353,7 +353,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cbb80d941c1d49b18b2aa767a4ecab4f",
+       "model_id": "005557f7534c452fb96cd6f8b2c71fa4",
        "version_major": 2,
        "version_minor": 0
       },

chapter1/nitsche.ipynb

@@ -192,12 +192,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8034af5a19554feab775b613a7877a0d",
+       "model_id": "0a2508a473d04c9ba002bd095af29434",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(color='#fefefe', inten…"
+       "Renderer(camera=PerspectiveCamera(aspect=1.3333333333333333, children=(DirectionalLight(intensity=0.25, positi…"
       ]
      },
      "metadata": {},