use deepcopy in Python in case a numpy array is used

2 files changed, 3 insertions, 2 deletions

diff --git a/Python/SyncRNG.py b/Python/SyncRNG.py
index 7ef6fd6..0ab4c06 100644
--- a/Python/SyncRNG.py
+++ b/Python/SyncRNG.py
@@ -6,6 +6,7 @@ used to seed and pull numbers from the RNG.
 
 from __future__ import division
 
+from copy import deepcopy
 from warnings import warn as _warn
 
 import syncrng
@@ -40,7 +41,7 @@ class SyncRNG(object):
         return int(r*maxsize) % n
 
     def shuffle(self, x):
-        y = x[:]
+        y = deepcopy(x)
         for i in reversed(range(1, len(y))):
             j = self.randbelow(i+1)
             y[i], y[j] = y[j], y[i]
diff --git a/README.md b/README.md
index b222cfb..10a0de3 100644
--- a/README.md
+++ b/README.md
@@ -34,7 +34,7 @@ Similarly, after installing the R library you can do in R:
 ```R
 library(SyncRNG)
 
-s = SyncRNG(seed=123456)
+s <- SyncRNG(seed=123456)
 for (i in 1:10) {
 	cat(s$randi(), '\n')
 }