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#       WICHMANN-HILL RANDOM NUMBER GENERATOR
#
#       Wichmann, B. A. & Hill, I. D. (1982)
#       Algorithm AS 183:
#       An efficient and portable pseudo-random number generator
#       Applied Statistics 31 (1982) 188-190
#
#       see also:
#               Correction to Algorithm AS 183
#               Applied Statistics 33 (1984) 123
#
#               McLeod, A. I. (1985)
#               A remark on Algorithm AS 183
#               Applied Statistics 34 (1985),198-200
#
#
#       USE:
#       whrandom.random()       yields double precision random numbers
#                               uniformly distributed between 0 and 1.
#
#       whrandom.seed(x, y, z)  must be called before whrandom.random()
#                               to seed the generator
#
#       There is also an interface to create multiple independent
#       random generators, and to choose from other ranges.


#       Translated by Guido van Rossum from C source provided by
#       Adrian Baddeley.


class whrandom:
    #
    # Initialize an instance.
    # Without arguments, initialize from current time.
    # With arguments (x, y, z), initialize from them.
    #
    def __init__(self, x = 0, y = 0, z = 0):
        self.seed(x, y, z)
    #
    # Set the seed from (x, y, z).
    # These must be integers in the range [0, 256).
    #
    def seed(self, x = 0, y = 0, z = 0):
        if not type(x) == type(y) == type(z) == type(0):
            raise TypeError, 'seeds must be integers'
        if not (0 <= x < 256 and 0 <= y < 256 and 0 <= z < 256):
            raise ValueError, 'seeds must be in range(0, 256)'
        if 0 == x == y == z:
            # Initialize from current time
            import time
            t = long(time.time() * 256)
            t = int((t&0xffffff) ^ (t>>24))
            t, x = divmod(t, 256)
            t, y = divmod(t, 256)
            t, z = divmod(t, 256)
        # Zero is a poor seed, so substitute 1
        self._seed = (x or 1, y or 1, z or 1)
    #
    # Get the next random number in the range [0.0, 1.0).
    #
    def random(self):
        x, y, z = self._seed
        #
        x = (171 * x) % 30269
        y = (172 * y) % 30307
        z = (170 * z) % 30323
        #
        self._seed = x, y, z
        #
        return (x/30269.0 + y/30307.0 + z/30323.0) % 1.0
    #
    # Get a random number in the range [a, b).
    #
    def uniform(self, a, b):
        return a + (b-a) * self.random()
    #
    # Get a random integer in the range [a, b] including both end points.
    #
    def randint(self, a, b):
        return a + int(self.random() * (b+1-a))
    #
    # Choose a random element from a non-empty sequence.
    #
    def choice(self, seq):
        return seq[int(self.random() * len(seq))]


# Initialize from the current time
#
_inst = whrandom()
seed = _inst.seed
random = _inst.random
uniform = _inst.uniform
randint = _inst.randint
choice = _inst.choice