======= SyncRNG ======= 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):
print(s.randi())
```

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

```
library(SyncRNG)
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::

```
install.packages('SyncRNG')
```

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:

`randi()`

: generate a random integer on the interval [0, 2^32).`rand()`

: generate a random floating point number on the interval [0.0, 1.0)`randbelow(n)`

: generate a random integer below a given integer`n`

.`shuffle(x)`

: generate a permutation of a given list of numbers`x`

.

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

.

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