Claudio Gomes e3d68f9bbf cbd		vor 6 Jahren
..
1-NewtonsLaws	6c908d974f bond graph materials and docker file	vor 6 Jahren
2-StationaryAction	a120f9001f exercises	vor 6 Jahren
3-BondGraphs	6c908d974f bond graph materials and docker file	vor 6 Jahren
4-Modelica	51f67bddd2 tecnical issues solved with modelica tutorial	vor 6 Jahren
5-CBDModeling	00bbd20833 cbd	vor 6 Jahren
assets	8dbcd08f5b empirical experiment with stationary motion	vor 6 Jahren
lib	e3d68f9bbf cbd	vor 6 Jahren
DockerfileTutorials123	51f67bddd2 tecnical issues solved with modelica tutorial	vor 6 Jahren
DockerfileTutorials123567	00bbd20833 cbd	vor 6 Jahren
DockerfileTutorials4	00bbd20833 cbd	vor 6 Jahren
DockerfileTutorials45	51f67bddd2 tecnical issues solved with modelica tutorial	vor 6 Jahren
README.md	00bbd20833 cbd	vor 6 Jahren
generate_exercises.ps1	51f67bddd2 tecnical issues solved with modelica tutorial	vor 6 Jahren
generate_exercises.py	a120f9001f exercises	vor 6 Jahren
notes.drawio	00bbd20833 cbd	vor 6 Jahren
notes.ipynb	d491aae96e stationary action exercises done	vor 6 Jahren
notes.md	d491aae96e stationary action exercises done	vor 6 Jahren
test.mo	83e4d35d95 materials and notes	vor 6 Jahren
test_bondgraphs.py	6c908d974f bond graph materials and docker file	vor 6 Jahren

Objective

This repository contains the materials that are used in the MoDELS tutorial of physical systems modelling for software engineers, in 2019.

Running the Materials

Build the corresponding docker image:

docker build -f DockerfileTutorials123567 -t jupyter .

docker build -f DockerfileTutorials4 -t jupyter .

This will download all dependencies you need to run the examples. You might need root access.

Note the host's ip address by running:
```
docker-machine ip
```
Let us denote it by MACHINE_IP
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. If a token is given, copy it so that you can later access the jupyter notebook from your browser. Let TOKEN denote the token given.
Open your browser and navigate to http://MACHINE_IP:8888/. If asked for a token, insert TOKEN.
Explore the examples.
Any changes made in the notebooks affect only the files inside the container. To retrieve them, either use the notebook interface to download them to your computer (File -> Download As -> Notebook), or 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.
To terminate and clean up, run the following commands
```
docker stop jupyterrun && docker rm jupyterrun
```