senol-randomizer 0.2.3

Cryptography-inspired random generation experiment

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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Installation

pip install senol-randomizer

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
shuffle()	Shuffles the given list and returns it. O(n)	lst:list	list

RNG Function Tests

Statistical test results based on NIST SP 800-22 Rev. 1a test suite.

Test	P-Value	Result
monobit_test	0.046613138703915244	✅ PASS
frequency_within_block_test	0.6787903492122158	✅ PASS
runs_test	0.33232036052397196	✅ PASS
longest_run_ones_in_a_block_test	0.21020703185565603	✅ PASS
binary_matrix_rank_test	0.2571877713800565	✅ PASS
dft_test	0.8685773273998374	✅ PASS
non_overlapping_template_matching_test	0.893926430778068	✅ PASS
overlapping_template_matching_test	0.7796009868841686	✅ PASS
maurers_universal_test	0.9802530560443485	✅ PASS
linear_complexity_test	0.4685290247356243	✅ PASS
serial_test	0.5630465232357214	✅ PASS
approximate_entropy_test	0.5631130245829565	✅ PASS
cumulative_sums_test	0.039939937090386124	✅ PASS
random_excursion_test	0.5178616373360564	✅ PASS
random_excursion_variant_test	0.14694060874229203	✅ PASS

Tests performed with 1 Mibibit (33,554,432 bits) of output data.
15/15 PASS — Work in progress.

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Project Repo Github • Project Repo PyPI

Author Github Profile • Author PyPI Profile

--Batuhan Şenol