Prepare v0.7.1 for releasing

.github/workflows/book_stable.yml

@@ -15,7 +15,7 @@ env:
 jobs:
   build-book:
     runs-on: ubuntu-latest
-    container: ghcr.io/fenics/dolfinx/lab:v0.7.0
+    container: ghcr.io/fenics/dolfinx/lab:v0.7.1
 
     env:
       PYVISTA_TRAME_SERVER_PROXY_PREFIX: "/proxy/"

.github/workflows/test_nightly.yml

@@ -17,7 +17,7 @@ jobs:
   test-nightly:
     # The type of runner that the job will run on
     runs-on: ubuntu-latest
-    container: ghcr.io/fenics/dolfinx/lab:nightly
+    container: ghcr.io/fenics/dolfinx/lab:v0.7.1
 
     env:
       HDF5_MPI: "ON"

.github/workflows/test_stable.yml

@@ -20,7 +20,7 @@ jobs:
   test:
     # The type of runner that the job will run on
     runs-on: ubuntu-latest
-    container: ghcr.io/fenics/dolfinx/lab:v0.7.0
+    container: ghcr.io/fenics/dolfinx/lab:v0.7.1
     env:
       PYVISTA_OFF_SCREEN: true
 

Changelog.md

@@ -1,5 +1,9 @@
 # Changelog
 
+## v0.7.1
+ - No API changes, release due to various bug-fixes from the 0.7.0 release, see:
+   https://github.com/FEniCS/dolfinx/releases/tag/v0.7.1 for more information
+
 ## v0.7.0
 
 - Renamed `dolfinx.graph.create_adjacencylist` to `dolfinx.graph.adjacencylist`

Dockerfile

@@ -1,4 +1,4 @@
-FROM ghcr.io/jorgensd/dolfinx-tutorial:v0.7.0
+FROM ghcr.io/jorgensd/dolfinx-tutorial:v0.7.1
 
 # create user with a home directory
 ARG NB_USER=jovyan

_config.yml

@@ -8,7 +8,7 @@ logo: fenics_logo.png
 # Force re-execution of notebooks on each build.
 # See https://jupyterbook.org/content/execute.html
 execute:
-  execute_notebooks: force
+  execute_notebooks: cache
 
   # Set timeout for any example to 20 minutes
   timeout: 1800
@@ -35,6 +35,11 @@ sphinx:
   config:
     html_last_updated_fmt: "%b %d, %Y"
     suppress_warnings: ["mystnb.unknown_mime_type"]
+
+    # To avoid warning about default changing due to
+    # https://github.com/pydata/pydata-sphinx-theme/issues/1492
+    html_theme_options:
+      navigation_with_keys: false
 parse:
   myst_enable_extensions:
     - "amsmath"

docker/Dockerfile

@@ -1,6 +1,6 @@
 # Execute from root of repo as: docker buildx build --platform=linux/arm64,linux/amd64 -f docker/Dockerfile ./docker/ --progress=plain
 
-FROM ghcr.io/fenics/dolfinx/lab:v0.7.0
+FROM ghcr.io/fenics/dolfinx/lab:v0.7.1
 ARG TARGETPLATFORM
 
 

docker/requirements.txt

@@ -19,4 +19,4 @@ pandas
 tqdm
 
 # Pyvista
-pyvista[all]
+pyvista[all]

fem.md

@@ -40,13 +40,13 @@ The tutorial uses several dependencies for meshing, plotting and timings. A comp
 To use the notebooks in this tutorial with DOLFINx on your own computer, you should use the docker image using the following command:
 
 ```bash
-  docker run --init -p 8888:8888 -v "$(pwd)":/root/shared ghcr.io/jorgensd/dolfinx-tutorial:v0.7.0
+  docker run --init -p 8888:8888 -v "$(pwd)":/root/shared ghcr.io/jorgensd/dolfinx-tutorial:v0.7.1
 ```
 
 This image can also be used as a normal docker container by adding:
 
 ```bash
-  docker run --ti -v "$(pwd)":/root/shared  --entrypoint="/bin/bash" ghcr.io/jorgensd/dolfinx-tutorial:v0.7.0
+  docker run --ti -v "$(pwd)":/root/shared  --entrypoint="/bin/bash" ghcr.io/jorgensd/dolfinx-tutorial:v0.7.1
 ```
 
 The tutorials can also be exported as a notebook or PDF by clicking the ![Download](save.png)-symbol in the top right corner of the relevant tutorial. The notebook can in turn be used with a Python kernel which has DOLFINx.
@@ -58,7 +58,7 @@ The [Dockerfile](https://github.com/FEniCS/dolfinx/blob/main/docker/Dockerfile)
 provides a definitive build recipe. As the DOLFINx docker images are hosted at Docker-hub, one can directly access the image:
 
 ```
-docker run dolfinx/dolfinx:v0.7.0
+docker run dolfinx/dolfinx:v0.7.1
 ```
 
 There are several ways of customizing a docker container, such as mounting volumes/sharing folder, setting a working directory, sharing graphical interfaces etc. See `docker run --help` for an extensive list.