def random_init():
"""
Initialize the random states with system entropy.
"""
b = os.urandom(N * 4)
for n in ('py_random_state', 'np_random_state'):
_helperlib.rnd_seed(_helperlib.c_helpers[n], b)
def random_init():
"""
Initialize the random states with system entropy.
"""
b = os.urandom(N * 4)
for n in ('py_random_state', 'np_random_state'):
_helperlib.rnd_seed(_helperlib.c_helpers[n], b)
def _check_perturb(self, ptr):
states = []
for i in range(10):
# Initialize with known state
_helperlib.rnd_seed(ptr, 0)
# Perturb with entropy
_helperlib.rnd_seed(ptr, os.urandom(512))
states.append(tuple(_helperlib.rnd_get_state(ptr)[1]))
# No two identical states
self.assertEqual(len(set(states)), len(states))
def random_init():
"""
Initialize the random states with system entropy.
"""
global _pid
if _pid != os.getpid():
b = os.urandom(N * 4)
for n in ('py_random_state', 'np_random_state'):
_helperlib.rnd_seed(_helperlib.c_helpers[n], b)
_pid = os.getpid()
def _check_perturb(self, ptr):
states = []
for i in range(10):
# Initialize with known state
_helperlib.rnd_seed(ptr, 0)
# Perturb with entropy
_helperlib.rnd_seed(ptr, os.urandom(512))
states.append(tuple(_helperlib.rnd_get_state(ptr)[1]))
# No two identical states
self.assertEqual(len(set(states)), len(states))
def random_init():
"""
Initialize the random states with system entropy.
"""
global _pid
if _pid != os.getpid():
b = os.urandom(N * 4)
for n in ('py_random_state', 'np_random_state'):
_helperlib.rnd_seed(_helperlib.c_helpers[n], b)
_pid = os.getpid()
def _check_init(self, ptr):
# We use the same integer seeding as Numpy
# (CPython is different: it treats the integer as a byte array)
r = np.random.RandomState()
for i in [0, 1, 125, 2**32 - 5]:
# Need to cast to a C-sized int (for Numpy <= 1.7)
r.seed(np.uint32(i))
st = r.get_state()
ints = list(st[1])
index = st[2]
assert index == N # sanity check
_helperlib.rnd_seed(ptr, i)
self.assertEqual(_helperlib.rnd_get_state(ptr), (index, ints))
def _check_init(self, ptr):
# We use the same integer seeding as Numpy
# (CPython is different: it treats the integer as a byte array)
r = np.random.RandomState()
for i in [0, 1, 125, 2**32 - 5]:
# Need to cast to a C-sized int (for Numpy <= 1.7)
r.seed(np.uint32(i))
st = r.get_state()
ints = list(st[1])
index = st[2]
assert index == N # sanity check
_helperlib.rnd_seed(ptr, i)
self.assertEqual(_helperlib.rnd_get_state(ptr), (index, ints))
