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Cryptography-inspired random generation experiment

Project description

senol-randomizer

An RNG-core-based random data generator written in a cryptographic style, but lacking any cryptographic proof, which creates an information asymmetry between the program and urandom.


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python License Status Type Github

How does it work?

  • First, it takes 256-bit numbers from /dev/urandom.
  • Second, it processes these numbers using the powmod() function from the gmpy library, applying the operation a b modn, and does this for each n.
  • The list of n values consists of 256-bit prime numbers.
  • This output is also used in the generation of other data types.

How To Use?

Function Name Description Arguments Returns
newstr() Create random string with unicode range. num:int, min_val:int, max_val:int str
newint() Create random integer with range. min_val:int, max_val:int int
newfloat() Create random float with range. min_val:int, max_val:int float
newbyte() Create random bytes. num:int bytes
newbool() Create random bool. No Argument bool
RNG() Core of library, create random big integer without range. No argument int
choice() Selects a random element from the list. lst:list any
compress() Maps the given number into the range between min and max in a way that minimizes modulo bias. value,min_val:int,max_val:int int

Project Repo GithubProject Repo PyPI

Author Github ProfileAuthor PyPI Profile

--Batuhan Şenol

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