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authorGertjan van den Burg <burg@ese.eur.nl>2015-07-30 16:48:23 +0200
committerGertjan van den Burg <burg@ese.eur.nl>2015-07-30 16:48:23 +0200
commit5ac614c17c75d2d89962284657b73048f5e3e14d (patch)
treee819952b01e6f677af2586431f807ca8acaba6f1 /README.md
parentreadme formatting (diff)
downloadSyncRNG-5ac614c17c75d2d89962284657b73048f5e3e14d.tar.gz
SyncRNG-5ac614c17c75d2d89962284657b73048f5e3e14d.zip
fix typos in README
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@@ -18,8 +18,8 @@ be the same in both languages, provided the same seed is used.
How
---
-In Python, the interface SyncRNG.py can be used as an importable module. In R,
-it is adviced to simply source the 'SyncRNG.R' file. Before use, make sure to
+In Python, the interface `SyncRNG.py` can be used as an importable module. In
+R, it suffices to simply source the `SyncRNG.R` file. Before use, make sure to
build both shared libraries using:
make
@@ -52,7 +52,7 @@ You'll notice that the random numbers are indeed the same.
Notes
-----
-Since R is not capable of reliable handling integers larger than `2^32 - 1`,
+Since R is not capable of reliably handling integers larger than `2^32 - 1`,
the random numbers are internally capped at this value (using a bitwise and
with `0x7FFFFFF`), this influences the quality of the random numbers. The
random numbers are no longer uniformly distributed on `[0, 2^32 -1]`. For the