The CLI, i.e., the command line interface, is a only the pure evaluator component to be executed manually.īoth software come as stand-alone jars and you can run them via java -jar evaluatorGui.jar (in case of the GUI) and java -jar evaluator.jar in case of the evaluator. The GUI is a stand-alone server providing a web-based interface for managing your experimental data, creating meta data, and running the evaluator. So if you want to use the jars directly, maybe because you already have R and Java and TeX Live installed and want to save disk space: You may enjoy the software Java jar releases in two flavors: Otherwise, this step is irrelevant for you – if you use Docker, nothing else is required.
This only holds if you want to run the jars directly and do not use Docker. This will allow you to use our system efficiently. Here and here you can find the command line options explained. The container contains a full installation of my system, including the Java 8 OpenJDK, TeX Live, R, the needed R packages, and ghostscript. You can also obtain it with the command docker-machine ip default. This address is displayed when you run the container. under Windows and Mac OS, where dockerIP is the IP address of your Docker container.Once the container is started, you can access it with your browser at address The first time you run the program, this will download the software once (and only once). for Linux, you can run curl -fsSL | sh on your command line and everything is done automatically (if you have curl installed, which is normally the case),Īfter doing this, you can start our container by typing the following command into a normal terminal (Linux), the Docker Quickstart Terminal (Mac OS), or the Docker Toolbox Terminal (Windows):ĭocker run -t -d -p 9999:8080/tcp optimizationbenchmarking/evaluator-gui.Docker can be installed following the guidelines below: Containers are something like lightweight VMs, they live as normal processes on the same kernel as the OS under Linux and as small Virtual Box VMs under Windows and Mac OS. Docker is an application that allows you to define, publish, and run containers. The graphical user interface ( GUI) of our evaluator has now been “ dockerized”.
Ghostscript for r studio mac install#
The latter is recommended, as it only requires you to install Docker and then you are ready to go! Dockerized Version: Only Install Docker, Nothing Else!
Ghostscript for r studio mac 64 Bit#
Alternatively, if you are using Linux, MacOS, or Windows (on a 64 bit system), you can also use the dockerized version of the GUI. The software requires a set of other tools, which you then should install in order to get everything to work smoothly. For using the software, you may first download it.
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