Application for pseudorandom number generators testing. It implements tests suite NIST. NIST tests are a battery of statistical tests for measuring the quality of a random number generator. It contains 15 statistical tests. In addition to testing, also enables other methodologies to estimate the tested sequences.
- Documentation can be found in respective folder, it includes detail view on application and its development,
- GUI is implemented using PyQt Designer and saved as .ui files which can be anytime remodeled and then generated to .py files,
- the application supports testing of pseudo-random sequences using NIST battery of statistical tests,
- tests results are written in .csv files in which user can explore tests details and check whether tests are valid.
- Applications developed by PyQt are cross-platform,
- NIST battery of tests requires Python 2.7 version to run.
To obtain application
git clone [email protected]:matusjokay/paranoYa.git
In order to continue development, application needs certain packages for its proper start. Every plugin needed is registered in requirements.txt file
pip install -r <path>/requirements.txt
Another needed step is to generate graphic windows from whose GUI is composed. Convert .ui to .py files
pyuic5 <path>/<file_from> -o <path>/<file_to>
To update requirements file with new added packages
pip freeze > <path>/requirements.txt
Convert .ui file to Python code with included main function
pyuic5 -x <path>/<file_from> -o <path>/<file_to>
To obtain application
git clone [email protected]:matusjokay/paranoYa.git
User needs to be located in src/ folder and have installed Python interpreter, then following command will run application
python main.py
This software is yet incomplete remake of its older version. Before paranoYa existed as a project, developed using Qt framework powered by C++. Todays application is developed using PyQt framework powered by Python.