Example #1
0
 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()
Example #2
0
 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()
Example #3
0
def test_jumpahead_badstate():
    rnd = Random()
    s, j = 4043161618, 2674112291824205302
    rnd.init_by_array([s])
    rnd.jumpahead(j)
    for i in range(500):
        r = rnd.random()
        assert r <= 1.0, (r, i)
Example #4
0
def test_jumpahead_badstate():
    rnd = Random()
    s, j = 4043161618, 2674112291824205302
    rnd.init_by_array([s])
    rnd.jumpahead(j)
    for i in range(500):
        r = rnd.random()
        assert r <= 1.0, (r, i)
Example #5
0
def test_jumpahead():
    rnd = Random()
    rnd.state = [r_uint(0)] * N
    rnd.state[0] = r_uint(1)
    cpyrandom = _random.Random()
    cpyrandom.setstate(tuple([int(s) for s in rnd.state] + [rnd.index]))
    rnd.jumpahead(100)
    cpyrandom.jumpahead(100)
    assert tuple(rnd.state) + (rnd.index, ) == cpyrandom.getstate()
Example #6
0
def test_jumpahead():
    rnd = Random()
    rnd.state = [r_uint(0)] * N
    rnd.state[0] = r_uint(1)
    cpyrandom = _random.Random()
    cpyrandom.setstate(tuple([int(s) for s in rnd.state] + [rnd.index]))
    rnd.jumpahead(100)
    cpyrandom.jumpahead(100)
    assert tuple(rnd.state) + (rnd.index, ) == cpyrandom.getstate()
Example #7
0
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()