|Claudio Gomes e5b9450b6c slides improvements||1 year ago|
|cosimlibrary||1 year ago|
|fmus||1 year ago|
|slides||1 year ago|
|solutions||1 year ago|
|theory||1 year ago|
|tutorial||1 year ago|
|.gitignore||1 year ago|
|Dockerfile||1 year ago|
|README.md||1 year ago|
|notebook.ps1||2 years ago|
This repository contains the materials that are used in the Co-simulation tutorial delivered at Wintersim Conference, in 2019.
Using docker's console, navigate to the root of this repository.
Build the docker image:
docker build -t jupyter .
This will download all dependencies you need to run the examples. You might need root access.
If you are running docker on windows, you might need to note the host's ip address by running:
Let us denote it by
MACHINE_IP. If this step fails, you might need to run the next step to start the docker machine first.
Run the docker container:
docker run --name jupyterrun -p 8888:8888 -t jupyter
This will start a container with name
jupyterrun of the image tagged with
jupyter and will forward any traffic going into port 8888 (in the host machine) to the same port in the virtual machine. Let
TOKEN denote the token given.
Open your browser and navigate to
Explore the examples.
Any changes made in the notebooks affect only the files inside the container. To retrieve them, you need to detach from the
jupyterrun container (typing
Ctrl+C on docker's console), and use the following command on docker's console:
docker cp jupyterrun:/opt/notebooks/tutorial mytutorial
Which will copy all files under the
tutorial folder to the
mytutorial folder in the repository.
docker stop jupyterrun docker rm jupyterrun
If you want to preserve the virtual machine that is used to run the materials in this repository (for example, you may want to later load it from a USB stick), follow these instructions:
docker save jupyter | gzip > jupyter.tar.gz
jupyter.tar.gzwherever you want.
The VM exported with the above instructions can be loaded as follows:
docker load < jupyter.tar.gz