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Bump version to 0.4.1 #77

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May 24, 2022
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Bump version to 0.4.1 #77

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4 changes: 2 additions & 2 deletions .github/workflows/build-publish.yml
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Expand Up @@ -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

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40 changes: 0 additions & 40 deletions .github/workflows/docker-image.yml
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2 changes: 1 addition & 1 deletion Dockerfile
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@@ -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
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4 changes: 2 additions & 2 deletions docker/Dockerfile
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@@ -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
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4 changes: 4 additions & 0 deletions docker/requirements.txt
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Expand Up @@ -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

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4 changes: 2 additions & 2 deletions fem.md
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Expand Up @@ -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.

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