Pd feature/example/heat conduction greedy

README.md

@@ -46,6 +46,29 @@ python3 setup.py install --with-parallel --with-gslib --user
 ```
 Make sure [`swig`](https://pypi.org/project/swig) is installed first. Also, the binary file must be located in `PATH` environment variable.
 
+### pylibROM-Jupyter Docker Container
+
+This Docker container provides an environment with Jupyter Notebook for the pylibROM library. Follow the steps below to build the Docker image and run a Jupyter Notebook server.
+
+#### Build the Docker Image
+
+Navigate to the directory containing the Dockerfile:
+ ```
+cd /path/to/folder/pylibROM/docker/jupyter
+ ```
+
+Now, run the following command to build the Docker image:
+
+ ```
+docker build -t pylibrom-jupyter:latest .
+ ```
+
+Once the image is built, you can run a container and start a Jupyter Notebook server. Replace /path/to/host/folder with the absolute path to the local directory you want to mount inside the container for Jupyter notebooks: 
+
+ ```
+docker run -p 8888:8888 -v /path/to/host/folder:/notebooks -w /notebooks pylibrom-jupyter:latest
+ ```
+
 
 ## License
 pylibROM is distributed under the terms of the MIT license. All new contributions must be made under the MIT. See

docker/jupyter/Dockerfile

@@ -0,0 +1,31 @@
+# start from pylibrom docker container
+FROM --platform=linux/amd64 ghcr.io/llnl/pylibrom/pylibrom_env:latest
+ENV ENVDIR=env
+ENV LIB_DIR=/$ENVDIR/dependencies
+WORKDIR $LIB_DIR
+
+# WORKDIR /env/dependencies
+RUN sudo git clone --recursive https://github.com/LLNL/pylibROM.git
+WORKDIR pylibROM
+RUN sudo -E pip install ./ --global-option="--librom_dir=/env/dependencies/libROM"
+
+# Install Jupyter Notebook
+RUN sudo apt-get install -yq python3-pip
+RUN sudo pip3 install jupyter
+
+# Create a directory for Jupyter notebooks
+RUN mkdir /home/$USERNAME/notebooks
+WORKDIR /home/$USERNAME/notebooks 
+
+# Configure Jupyter Notebook
+RUN jupyter notebook --generate-config
+RUN echo "c.NotebookApp.ip = '*'" >> /home/$USERNAME/.jupyter/jupyter_notebook_config.py
+
+# Expose the Jupyter Notebook port
+EXPOSE 8888
+
+# Run Jupyter Notebook
+CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]
+
+# create and switch to a user
+WORKDIR /home/$USERNAME