https://github.com/jacksonrakena/lcg-toolkit
Simulator and plotter for linear congruential generator (LCG) functions in Python
https://github.com/jacksonrakena/lcg-toolkit
borland congruence congruent congruential data-analysis data-science generation generator lcg linear linear-congruential-generator numerical-recipes randu randu-function randu-generator randu-rng rng
Last synced: 10 months ago
JSON representation
Simulator and plotter for linear congruential generator (LCG) functions in Python
- Host: GitHub
- URL: https://github.com/jacksonrakena/lcg-toolkit
- Owner: jacksonrakena
- Created: 2021-06-03T00:04:13.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-08-18T21:50:47.000Z (almost 5 years ago)
- Last Synced: 2025-02-14T20:31:58.222Z (over 1 year ago)
- Topics: borland, congruence, congruent, congruential, data-analysis, data-science, generation, generator, lcg, linear, linear-congruential-generator, numerical-recipes, randu, randu-function, randu-generator, randu-rng, rng
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Linear Congruential Generator Toolkit
Simulator and plotter for linear congruential generator (LCG) functions in Python 3 with MatPlotLib.
This was made for academic purposes, to study the function of linear congruential generations and specifically the famed RANDU LCG function.
### Usage
To run as the generator is currently set, just run `python lcg.py` (`python3 lcg.py` on Mac).
This will simulate `RANGE_END-RANGE_START` generations and plot them with a MatPlotLib display.
To change the LCG parameters, set them in the top of `lcg.py`:
```py
# SEED VALUE
# RANDOM NUMBER = randint(1, 0x7FFFFFFF)
X0 = randint(1, 0x7FFFFFFF)
RANGE_START = 0
RANGE_END = 500
# MULTIPLICATIVE FACTOR
A = 1664525
# ADDITIVE FACTOR
C = 1013904223
# MODULUS FACTOR
M = 2**32
```
The LCG function is expressed as `X(i+1) = ((A*X(i)) + C) mod M`.
### Copyright
`lcg-toolkit` is copyright © 2021 Jackson Rakena under the MIT License.
You are free to use this in your academic papers or projects, but please include a credit and link to this repository.