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 /dev/urandom.
Table of Contents
Overview
senol-randomizer is a Python library that wraps /dev/urandom entropy with a modular exponentiation layer using large 256-bit prime numbers. The result is a pseudorandom stream that passes all 15 NIST SP 800-22 Rev. 1a statistical tests, while deliberately not claiming cryptographic security — the transformation adds complexity at the cost of provable properties.
Installation
pip install senol-randomizer
How It Works
- Entropy source: Reads 256-bit raw values from
/dev/urandom. - Transformation: Applies
powmod(a, b, n)via thegmpy2library — performing modular exponentiation for each value of n. - Prime moduli: The set of n values consists exclusively of 256-bit prime numbers.
- Derived types: All higher-level data types (
str,float,bool, etc.) are derived from this core output.
The design intentionally introduces an asymmetry: the consumer of the output has less information about the internal state than /dev/urandom alone would expose, but this property is structural, not mathematically proven.
API Reference
| Function | Description | Arguments | Returns |
|---|---|---|---|
RNG() |
Core function. Generates a random large integer with no range constraint. | — | int |
newint() |
Random integer within a given range. | min_val: int, max_val: int |
int |
newfloat() |
Random float within a given range. | min_val: int, max_val: int |
float |
newbool() |
Random boolean. | — | bool |
newbyte() |
Random bytes of a given length. | num: int |
bytes |
newstr() |
Random string sampled from the full Unicode range. | num: int, min_val: int, max_val: int |
str |
newtoken() |
Random URL-safe string. | length: int |
str |
choice() |
Selects a random element from a list. | lst: list |
any |
shuffle() |
Shuffles a list in-place and returns it. O(n). | lst: list |
list |
compress() |
Maps a value into [min, max] while minimizing modulo bias. | value, min_val: int, max_val: int |
int |
Statistical Test Results
Results from the NIST SP 800-22 Rev. 1a test suite, run against 1 Mibibit (33,554,432 bits) of RNG() output.
| 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 |
15 / 15 PASS — Work in progress.
Links
GitHub Repository · PyPI Package
Author on GitHub · Author on PyPI
— Batuhan Şenol
1 maintainer
Metadata
1 maintainer
Release files for senol-randomizer 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| senol_randomizer-0.2.5.tar.gz | 12.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| senol_randomizer-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.3 kB
Release files / senol_randomizer-0.2.5.tar.gz
| Download URL | senol_randomizer-0.2.5.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
953da39a72641996e1260e0ece04af1642a138d9d3ff6c9d20b2090d31aa2122
|
|
BLAKE2b-256 checksum How to use checksums |
4cd2a259b45b476bf6ea943054ed5762ccac407de7a5e1ca603e7424df8f2896
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
Release files / senol_randomizer-0.2.5-py3-none-any.whl
| Download URL | senol_randomizer-0.2.5-py3-none-any.whl |
|---|---|
| Size | 12.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f287c94f38094f53d17987880684be7edfb8922ee61385ab296d11ac72dfcb75
|
|
BLAKE2b-256 checksum How to use checksums |
96422b70d7267075ff7539bcdb1ca6de9bb883a2fff4d98df307a27c84eb76c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
Security for senol-randomizer 0.2.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
