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-=======
-SyncRNG
-=======
-A synchronized Tausworthe RNG usable in R and Python.
-
-Why?
-====
-
-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.
-
-You can read more about my motivations for creating this `here 
-<https://gertjanvandenburg.com/blog/syncrng/>`_.
-
-How
-===
-
-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.
-
-R - User defined RNG
---------------------
-
-R allows the user to define a custom random number generator, which is then 
-used for the common ``runif`` and ``rnorm`` functions in R. This has also been 
-implemented in SyncRNG as of version 1.3.0. To enable this, run::
-
-    library(SyncRNG)
-
-    set.seed(123456, 'user', 'user')
-    runif(10)
-
-These numbers are between [0, 1) and multiplying by ``2**32 - 1`` gives the 
-same results as above.
-
-Installation
-============
-
-Installing the R package can be done through CRAN::
-
-    install.packages('SyncRNG')
-
-The Python package can be installed using pip::
-
-    pip install syncrng
-
-
-Usage
-=====
-
-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``.
-
-Notes
-=====
-
-The random numbers are uniformly distributed on ``[0, 2^32 - 1]``.
-
-Questions and Issues
-====================
-
-If you have questions about SyncRNG or you encounter a problem, please open an 
-`issue on GitHub <https://github.com/GjjvdBurg/SyncRNG/>`_.