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A synchronized Tausworthe RNG for Python and R

Project description

A synchronized Tausworthe RNG usable in R and Python.


This program was created because it was desired to have the same random numbers in both R and Python programs. Although both languages implement a Mersenne-Twister RNG, the implementations are so different that it is not possible to get the same random numbers with the same seed.

SyncRNG is a Tausworthe RNG implemented in syncrng.c, and linked to both R and Python. Since both use the same underlying C code, the random numbers will be the same in both languages, provided the same seed is used.


First install the packages as stated under Installation. Then, in Python you can do:

from SyncRNG import SyncRNG

s = SyncRNG(seed=123456)
for i in range(10):

Similarly, after installing the R library you can do in R:


s <- SyncRNG(seed=123456)
for (i in 1:10) {
   cat(s$randi(), '\n')

You’ll notice that the random numbers are indeed the same.


Installing the R package can be done through CRAN:


The Python package can be installed using pip:

pip install syncrng


In both R and Python the following methods are available for the SyncRNG class:

  1. randi(): generate a random integer on the interval [0, 2^32).
  2. rand(): generate a random floating point number on the interval [0.0, 1.0)
  3. randbelow(n): generate a random integer below a given integer n.
  4. shuffle(x): generate a permutation of a given list of numbers x.


The random numbers are uniformly distributed on [0, 2^32 - 1].

Project details

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