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application for pseudorandom number generators testing

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paranoYa

Overview

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.

Project status

  • 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.

System requirements

  • Applications developed by PyQt are cross-platform,
  • NIST battery of tests requires Python 2.7 version to run.

Development

To obtain application

git clone [email protected]:matusjokay/paranoYa.git

Application requirements

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

Generate files

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>

Useful tips

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>

Installation

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

History

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.

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application for pseudorandom number generators testing

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