How to Install Screaming Liquid Tiger on OpenSUSE Latest

Screaming Liquid Tiger is an open-source tool that allows you to generate realistic and random test data. In this tutorial, we are going to learn how to install Screaming Liquid Tiger on OpenSUSE Latest.

Prerequisites

Before starting with the installation process, make sure that your OpenSUSE Latest system is up-to-date and you have the following prerequisites:

  • A user account with sudo privileges.
  • The git tool should be installed.

Step 1: Clone Screaming Liquid Tiger repository

The first step for installing Screaming Liquid Tiger on OpenSUSE Latest is to clone its repository. For this, we will use the git clone command.

$ git clone https://git.herrbischoff.com/screaming-liquid-tiger.git

Now, navigate to the cloned directory.

$ cd screaming-liquid-tiger

Step 2: Make Screaming Liquid Tiger executable

After cloning the repository, we need to make the screaming-liquid-tiger script executable. For this, use the chmod command.

$ chmod +x screaming-liquid-tiger

Step 3: Add Screaming Liquid Tiger to the PATH

In order to use Screaming Liquid Tiger as a command, we need to add it to the system's PATH.

First, determine the location of where you cloned the repository.

$ pwd
/home/user/screaming-liquid-tiger

Then add the directory to the PATH by editing the .bashrc file.

$ nano ~/.bashrc

Add the following line at the end of the file.

export PATH=$PATH:/home/user/screaming-liquid-tiger

Save the changes and close the file.

Step 4: Verify the installation

To verify that Screaming Liquid Tiger has been installed correctly, run the following command.

$ screaming-liquid-tiger --version

If everything is installed correctly, you will see the output with the version number.

screaming-liquid-tiger version 1.0.0

That's it! Screaming Liquid Tiger has been successfully installed on OpenSUSE Latest.

Conclusion

In this tutorial, we have discussed how to install Screaming Liquid Tiger on OpenSUSE Latest. By following these steps, you can generate realistic and random test data with ease.