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authorJulian Taylor <jtaylor.debian@googlemail.com>2014-05-05 19:13:28 +0200
committerJulian Taylor <jtaylor.debian@googlemail.com>2014-05-15 02:13:34 +0200
commit6b1a1205eac6fe5d162f16155d500765e8bca53c (patch)
tree60944a074113cf726a9d114542cdbea31054c8cb /numpy/random/tests
parentcd0d0579614481076fef473f1fc0c4b13f991b28 (diff)
downloadnumpy-6b1a1205eac6fe5d162f16155d500765e8bca53c.tar.gz
BUG: reject too large seeds to RandomState
mtrand accepts seeds larger than 32 bit but silently truncates them back to 32 bit. This can lead to accidentally getting the same random stream for two different seeds, e.g. 1 and 1 + 2**40.
Diffstat (limited to 'numpy/random/tests')
-rw-r--r--numpy/random/tests/test_random.py29
1 files changed, 29 insertions, 0 deletions
diff --git a/numpy/random/tests/test_random.py b/numpy/random/tests/test_random.py
index b6c4fe3af..ef4e7b127 100644
--- a/numpy/random/tests/test_random.py
+++ b/numpy/random/tests/test_random.py
@@ -7,6 +7,35 @@ from numpy.testing import (
from numpy import random
from numpy.compat import asbytes
+class TestSeed(TestCase):
+ def test_scalar(self):
+ s = np.random.RandomState(0)
+ assert_equal(s.randint(1000), 684)
+ s = np.random.RandomState(4294967295)
+ assert_equal(s.randint(1000), 419)
+
+ def test_array(self):
+ s = np.random.RandomState(range(10))
+ assert_equal(s.randint(1000), 468)
+ s = np.random.RandomState(np.arange(10))
+ assert_equal(s.randint(1000), 468)
+ s = np.random.RandomState([0])
+ assert_equal(s.randint(1000), 973)
+ s = np.random.RandomState([4294967295])
+ assert_equal(s.randint(1000), 265)
+
+ def test_invalid_scalar(self):
+ # seed must be a unsigned 32 bit integers
+ assert_raises(TypeError, np.random.RandomState, -0.5)
+ assert_raises(ValueError, np.random.RandomState, -1)
+
+ def test_invalid_array(self):
+ # seed must be a unsigned 32 bit integers
+ assert_raises(TypeError, np.random.RandomState, [-0.5])
+ assert_raises(ValueError, np.random.RandomState, [-1])
+ assert_raises(ValueError, np.random.RandomState, [4294967296])
+ assert_raises(ValueError, np.random.RandomState, [1, 2, 4294967296])
+ assert_raises(ValueError, np.random.RandomState, [1, -2, 4294967296])
class TestBinomial(TestCase):
def test_n_zero(self):