Claudio Gomes 484520a98f tecnical issues solved		6 tahun lalu
..
1-NewtonsLaws	6c908d974f bond graph materials and docker file	6 tahun lalu
2-StationaryAction	a120f9001f exercises	6 tahun lalu
3-BondGraphs	6c908d974f bond graph materials and docker file	6 tahun lalu
4-Modelica	51f67bddd2 tecnical issues solved with modelica tutorial	6 tahun lalu
5-CBDModeling	484520a98f tecnical issues solved	6 tahun lalu
assets	8dbcd08f5b empirical experiment with stationary motion	6 tahun lalu
lib	3cf891e4c8 cbds running in jupyter	6 tahun lalu
DockerfileTutorials123567	484520a98f tecnical issues solved	6 tahun lalu
DockerfileTutorials4	00bbd20833 cbd	6 tahun lalu
README.md	484520a98f tecnical issues solved	6 tahun lalu
generate_exercises.ps1	51f67bddd2 tecnical issues solved with modelica tutorial	6 tahun lalu
generate_exercises.py	a120f9001f exercises	6 tahun lalu
notes.drawio	484520a98f tecnical issues solved	6 tahun lalu
notes.ipynb	d491aae96e stationary action exercises done	6 tahun lalu
notes.md	d491aae96e stationary action exercises done	6 tahun lalu
test.mo	83e4d35d95 materials and notes	6 tahun lalu
test_bondgraphs.py	6c908d974f bond graph materials and docker file	6 tahun lalu

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 (each requires about 5GB of disk space):

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
```

This is usually caused by having pre-existing docker images in your pc. Since docker allocates a virtual hard disk for them, this disk may be full.

One solution is to run, in the docker terminal:

docker image prune

Which should reclaim some space.