def f(x, y):
x = r_uint(x)
y = r_uint(y)
rnd = Random(x)
rnd.init_by_array([x, y])
rnd.jumpahead(intmask(y))
return float(rnd.genrand32()) + rnd.random()
def f(x, y):
x = r_uint(x)
y = r_uint(y)
rnd = Random(x)
rnd.init_by_array([x, y])
rnd.jumpahead(intmask(y))
return float(rnd.genrand32()) + rnd.random()
class rand(object):
def seed(self, seed):
self.r = Random(seed)
def randint(self, a, b):
r32 = intmask(self.r.genrand32())
r = a + r32 % (b - a)
return intmask(r)
def test_numbers():
rnd = Random(1000)
nums = [rnd.genrand32() for i in range(14)]
assert nums == [
2807145907, 882709079, 493951047, 2621574848, 4081433851, 44058974,
2070996316, 1549632257, 3747249597, 3650674304, 911961945, 58396205,
174846504, 1478498153
]
def rrandom_example():
rnd1 = Random()
print rnd1.genrand32() # get a 32-bit random number
print rnd1.random() # get a float random number x, 0.0 <= x < 1.0
seed = 1546979228
rnd2 = Random(seed) # set a seed
print rnd2.random()
print rnd1.state # you can access the internal state of the generator
# change the internal state to one different from and likely far away from
# the current state, n is a non-negative integer which is used to scramble
# the current state vector.
n = 10
rnd1.jumpahead(n)
rnd1.random()
class rand(object):
def seed(self, seed):
self.r = Random(seed)
def random(self):
return self.r.random()
def randint(self, a, b):
r32 = intmask(self.r.genrand32())
r = a + r32 % (b - a)
return intmask(r)
def test_numbers():
rnd = Random(1000)
nums = [rnd.genrand32() for i in range(14)]
assert nums == [2807145907, 882709079, 493951047, 2621574848, 4081433851,
44058974, 2070996316, 1549632257, 3747249597, 3650674304,
911961945, 58396205, 174846504, 1478498153]
