Exposing PRNG test suites via Python

Exposing the TestU01 and PractRand PRNG test suites to scientific libraries via Python

Presenter
: 
Sean Callahan
Co-Presenter(s)
: 
Maximillian Otto vonBlankenburg
Presenter Status
: 
Undergraduate student
Academic Year
: 
20-21
Semester
: 
Spring
Faculty Mentor
: 
Mark Gondree
Department
: 
Computer Science
Funding Source/Program
: 
RSCAP
Presentation Link
: 
View Presentation on Google Drive
Abstract
: 

Pseudorandom Number Generators (PRNGs) are an essential component of many practical secure applications. Our objective with this project is to bring the PRNGs and Statistical Tests from the TestU01 and PractRand libraries to Python. In doing so, we bring an expansive set of test suites for researchers to leverage in their data science tools.