bump version to 0.4.1 (#77)

Author: jorgensd

.github/workflows/build-publish.yml

@@ -20,12 +20,12 @@ jobs:
   build:
     # The type of runner that the job will run on
     runs-on: ubuntu-latest
-    container: dokken92/dolfinx_custom:02052022
+    container: dokken92/dolfinx_custom:v0.4.1
 
     env:
       HDF5_MPI: "ON"
       CC: mpicc
-      HDF5_DIR: "/usr/lib/x86_64-linux-gnu/hdf5/mpich/"
+      HDF5_DIR: "/usr/local/"
       DISPLAY: ":99.0"
       PYVISTA_OFF_SCREEN: true
 

.github/workflows/docker-image.yml

@@ -1,4 +1,4 @@
-FROM dokken92/dolfinx_custom:02052022
+FROM dokken92/dolfinx_custom:v0.4.1
 
 # create user with a home directory
 ARG NB_USER

Dockerfile

@@ -1,11 +1,11 @@
-FROM dolfinx/lab:v0.4.0
+FROM dolfinx/lab:v0.4.1
 
 WORKDIR /tmp/
 
 ADD requirements.txt /tmp/requirements.txt
 
 # Install dependencies
-RUN HDF5_MPI="ON" HDF5_DIR="/usr/lib/x86_64-linux-gnu/hdf5/mpich/" CC=mpicc pip3 install --no-cache-dir -r requirements.txt
+RUN HDF5_MPI="ON" HDF5_DIR="/usr/local/" CC=mpicc pip3 install --no-cache-dir -r requirements.txt
 
 # Activate plotting
 RUN jupyter nbextension enable --py --sys-prefix ipygany

docker/Dockerfile

@@ -18,7 +18,11 @@ pandas
 
 # Visualization with Pyvista 
 matplotlib
+
+# Until VTK is released with wheels for python 3.10
+--find-links https://wheels.pyvista.org/
 pyvista
+
 pythreejs
 ipygany
 

docker/requirements.txt

@@ -33,11 +33,11 @@ Docker is a software that uses *containers* to supply software across different
 All notebooks can be converted to python files using [nbconvert](https://nbconvert.readthedocs.io/en/latest/).
 
 ### Tutorial compatible docker images
-The tutorial uses several dependencies for meshing, plotting and timings. A compatible `JupyterLab` image is available at [DockerHub/dokken92/dolfinx_custom:labv0.4.0](https://hub.docker.com/r/dokken92/dolfinx_custom/tags)
+The tutorial uses several dependencies for meshing, plotting and timings. A compatible `JupyterLab` image is available at [DockerHub/dokken92/dolfinx_custom:v0.4.1](https://hub.docker.com/r/dokken92/dolfinx_custom/tags)
 
 To use the notebookes in this tutorial with DOLFINx on your own computer, you should use the docker image using the following command
 ```
-  docker run --init -p 8888:8888 -v "$(pwd)":/root/shared dokken92/dolfinx_custom:labv0.4.0
+  docker run --init -p 8888:8888 -v "$(pwd)":/root/shared dokken92/dolfinx_custom:v0.4.1
 ```
 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 tutorialThe notebook can in turn be used with a Python kernel which has DOLFINx.