WARNING: re-running the whole experiment may take a very long time on a normal computer.
- Install docker and docker-compose
- Run
docker-compose up - The charts will be available in the
chartsfolder.
- Install a Gradle-compatible version of Java.
Use the Gradle/Java compatibility matrix
to learn which is the compatible version range.
The Version of Gradle used in this experiment can be found in the
gradle-wrapper.propertiesfile located in thegradle/wrapperfolder. - Install the version of Python indicated in
.python-version(or usepyenv). - Launch either:
./gradlew runAllon Linux, MacOS, or Windows if a bash-compatible shell is available;gradlew.bat runAllon Windows cmd or Powershell;
- Once the experiment is finished, the results will be available in the
datafolder. Run:pip install --upgrade pippip install -r requirements.txtpython process.py
- The charts will be available in the
chartsfolder.
Follow the instructions for reproducing the entire experiment natively, but instead of running runAllBatch,
run runEXPERIMENTGraphics, replacing EXPERIMENT with the name of the experiment you want to run
(namely, with the name of the YAML simulation file).
If in doubt, run ./gradlew tasks to see the list of available tasks.
To make changes to existing experiments and explore/reuse, we recommend to use the IntelliJ Idea IDE. Opening the project in IntelliJ Idea will automatically import the project, download the dependencies, and allow for a smooth development experience.
The custom charts were generated inside a jupyter notebook.
To run the notebook:
$ cd data-visualization
$ virtualenv myenv && source myenv/bin/activate
$ pip install -r ../requirements.txt
$ jupyter lab
The las command open a browser windows with the notebook. Run all the cells to show the custom charts.
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