rge256-core 1.0.5

RGE-256: A pure Python 256-bit ARX pseudorandom number generator.

RGE-256 Core (v1.0.5)

A pure Python 256-bit Add–Rotate–Xor (ARX) pseudorandom number generator.

Author: Steven Reid ORCID: 0009-0003-9132-3410 License: Apache 2.0 Repository: https://github.com/RRG314/RGE-256-app Preprint: https://zenodo.org/records/17713219

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⚠️ Security Notice

RGE-256 Core is not a cryptographically secure random number generator.

It MUST NOT be used for:

• encryption
• authentication
• secure key generation
• tokens
• gambling systems
• lotteries
• blockchain consensus

It IS safe for:

• simulation
• Monte Carlo methods
• research
• teaching
• non-security randomness

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Overview

RGE-256 Core is a simple, deterministic PRNG implemented in pure Python. It uses:

• a 256-bit internal state (8 × 32-bit words)
• Add–Rotate–XOR (ARX) mixing
• domain separation via string labels
• fixed-round mixing (default: 3 rounds)
• deterministic output using a 64-bit seed

This package contains only the core PRNG. No visualization, no statistical diagnostics, and no UI components are included.

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Installation

pip install rge256_core

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Basic Usage

from rge256_core import RGE256

rng = RGE256(seed=12345)

# 32-bit unsigned integer
x = rng.next_u32()

# float in [0, 1)
y = rng.next_float()

# integer in range
z = rng.randint(0, 100)

# N random bytes
b = rng.random_bytes(32)

RGE-256 Core is fully deterministic: the same seed + same domain always produces the same sequence.

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Domain Separation

Domain labels create independent sequences even with the same seed:

rng_a = RGE256(seed=999, domain='physics')
rng_b = RGE256(seed=999, domain='graphics')

These produce completely different output streams.

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Example: Monte Carlo π

from rge256_core import RGE256
import math

rng = RGE256(seed=42)

inside = 0
N = 100000

for _ in range(N):
    x = rng.next_float() * 2 - 1
    y = rng.next_float() * 2 - 1
    if x*x + y*y <= 1:
        inside += 1

pi_estimate = 4 * inside / N
print(pi_estimate)

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Project Structure

The pip package includes only the core PRNG module:

• rge256_core/rge256_core.py — core PRNG implementation
• __init__.py — module export
• README.md
• LICENSE
• pyproject.toml

No web demo features are included in the pip package.

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Citation

Reid, Steven. “RGE-256: A 256-bit ARX Pseudorandom Number Generator.” Zenodo (2025). https://zenodo.org/records/17713219

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License

Apache License 2.0