annotate Lib/random.py @ 37850:ebe59cd18273

Use explicit relative import for an, ehm, relative import.
author Thomas Wouters <thomas@python.org>
date Tue, 18 Apr 2006 21:41:36 +0000
parents 3e5c07faab11
children f731859e9b3b 1ca012ce427e
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1 """Random variable generators.
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2
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3 integers
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4 --------
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5 uniform within range
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6
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7 sequences
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8 ---------
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9 pick random element
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10 pick random sample
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11 generate random permutation
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12
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13 distributions on the real line:
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14 ------------------------------
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15 uniform
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16 normal (Gaussian)
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17 lognormal
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18 negative exponential
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19 gamma
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20 beta
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21 pareto
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22 Weibull
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23
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24 distributions on the circle (angles 0 to 2pi)
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25 ---------------------------------------------
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26 circular uniform
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27 von Mises
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28
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29 General notes on the underlying Mersenne Twister core generator:
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30
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31 * The period is 2**19937-1.
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32 * It is one of the most extensively tested generators in existence
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33 * Without a direct way to compute N steps forward, the
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34 semantics of jumpahead(n) are weakened to simply jump
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35 to another distant state and rely on the large period
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36 to avoid overlapping sequences.
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37 * The random() method is implemented in C, executes in
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38 a single Python step, and is, therefore, threadsafe.
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39
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40 """
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41
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42 from warnings import warn as _warn
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43 from types import MethodType as _MethodType, BuiltinMethodType as _BuiltinMethodType
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44 from math import log as _log, exp as _exp, pi as _pi, e as _e, ceil as _ceil
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45 from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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46 from os import urandom as _urandom
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47 from binascii import hexlify as _hexlify
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48
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49 __all__ = ["Random","seed","random","uniform","randint","choice","sample",
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50 "randrange","shuffle","normalvariate","lognormvariate",
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51 "expovariate","vonmisesvariate","gammavariate",
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52 "gauss","betavariate","paretovariate","weibullvariate",
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53 "getstate","setstate","jumpahead", "WichmannHill", "getrandbits",
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54 "SystemRandom"]
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55
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56 NV_MAGICCONST = 4 * _exp(-0.5)/_sqrt(2.0)
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57 TWOPI = 2.0*_pi
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58 LOG4 = _log(4.0)
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59 SG_MAGICCONST = 1.0 + _log(4.5)
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60 BPF = 53 # Number of bits in a float
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61 RECIP_BPF = 2**-BPF
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62
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63
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64 # Translated by Guido van Rossum from C source provided by
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65 # Adrian Baddeley. Adapted by Raymond Hettinger for use with
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66 # the Mersenne Twister and os.urandom() core generators.
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67
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68 import _random
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69
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70 class Random(_random.Random):
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71 """Random number generator base class used by bound module functions.
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72
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73 Used to instantiate instances of Random to get generators that don't
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74 share state. Especially useful for multi-threaded programs, creating
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75 a different instance of Random for each thread, and using the jumpahead()
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76 method to ensure that the generated sequences seen by each thread don't
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77 overlap.
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78
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79 Class Random can also be subclassed if you want to use a different basic
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80 generator of your own devising: in that case, override the following
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81 methods: random(), seed(), getstate(), setstate() and jumpahead().
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82 Optionally, implement a getrandombits() method so that randrange()
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83 can cover arbitrarily large ranges.
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84
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85 """
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86
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87 VERSION = 2 # used by getstate/setstate
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88
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89 def __init__(self, x=None):
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90 """Initialize an instance.
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91
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92 Optional argument x controls seeding, as for Random.seed().
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93 """
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94
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95 self.seed(x)
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96 self.gauss_next = None
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97
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98 def seed(self, a=None):
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99 """Initialize internal state from hashable object.
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100
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101 None or no argument seeds from current time or from an operating
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102 system specific randomness source if available.
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103
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104 If a is not None or an int or long, hash(a) is used instead.
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105 """
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106
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107 if a is None:
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108 try:
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109 a = long(_hexlify(_urandom(16)), 16)
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110 except NotImplementedError:
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111 import time
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112 a = long(time.time() * 256) # use fractional seconds
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113
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114 super(Random, self).seed(a)
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115 self.gauss_next = None
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116
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117 def getstate(self):
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118 """Return internal state; can be passed to setstate() later."""
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119 return self.VERSION, super(Random, self).getstate(), self.gauss_next
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120
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121 def setstate(self, state):
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122 """Restore internal state from object returned by getstate()."""
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123 version = state[0]
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124 if version == 2:
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125 version, internalstate, self.gauss_next = state
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126 super(Random, self).setstate(internalstate)
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127 else:
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128 raise ValueError("state with version %s passed to "
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129 "Random.setstate() of version %s" %
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130 (version, self.VERSION))
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131
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132 ## ---- Methods below this point do not need to be overridden when
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133 ## ---- subclassing for the purpose of using a different core generator.
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134
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135 ## -------------------- pickle support -------------------
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136
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137 def __getstate__(self): # for pickle
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138 return self.getstate()
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139
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140 def __setstate__(self, state): # for pickle
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141 self.setstate(state)
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142
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143 def __reduce__(self):
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144 return self.__class__, (), self.getstate()
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145
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146 ## -------------------- integer methods -------------------
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147
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148 def randrange(self, start, stop=None, step=1, int=int, default=None,
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149 maxwidth=1L<<BPF):
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150 """Choose a random item from range(start, stop[, step]).
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151
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152 This fixes the problem with randint() which includes the
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153 endpoint; in Python this is usually not what you want.
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154 Do not supply the 'int', 'default', and 'maxwidth' arguments.
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155 """
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156
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157 # This code is a bit messy to make it fast for the
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158 # common case while still doing adequate error checking.
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159 istart = int(start)
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160 if istart != start:
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161 raise ValueError, "non-integer arg 1 for randrange()"
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162 if stop is default:
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163 if istart > 0:
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164 if istart >= maxwidth:
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165 return self._randbelow(istart)
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166 return int(self.random() * istart)
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167 raise ValueError, "empty range for randrange()"
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168
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169 # stop argument supplied.
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170 istop = int(stop)
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171 if istop != stop:
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172 raise ValueError, "non-integer stop for randrange()"
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173 width = istop - istart
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174 if step == 1 and width > 0:
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175 # Note that
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176 # int(istart + self.random()*width)
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177 # instead would be incorrect. For example, consider istart
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178 # = -2 and istop = 0. Then the guts would be in
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179 # -2.0 to 0.0 exclusive on both ends (ignoring that random()
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180 # might return 0.0), and because int() truncates toward 0, the
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181 # final result would be -1 or 0 (instead of -2 or -1).
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182 # istart + int(self.random()*width)
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183 # would also be incorrect, for a subtler reason: the RHS
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184 # can return a long, and then randrange() would also return
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185 # a long, but we're supposed to return an int (for backward
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186 # compatibility).
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187
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188 if width >= maxwidth:
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189 return int(istart + self._randbelow(width))
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190 return int(istart + int(self.random()*width))
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191 if step == 1:
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192 raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
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193
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194 # Non-unit step argument supplied.
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195 istep = int(step)
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196 if istep != step:
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197 raise ValueError, "non-integer step for randrange()"
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198 if istep > 0:
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199 n = (width + istep - 1) // istep
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200 elif istep < 0:
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201 n = (width + istep + 1) // istep
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202 else:
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203 raise ValueError, "zero step for randrange()"
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204
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205 if n <= 0:
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206 raise ValueError, "empty range for randrange()"
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207
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208 if n >= maxwidth:
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209 return istart + self._randbelow(n)
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210 return istart + istep*int(self.random() * n)
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211
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212 def randint(self, a, b):
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213 """Return random integer in range [a, b], including both end points.
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214 """
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215
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216 return self.randrange(a, b+1)
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217
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218 def _randbelow(self, n, _log=_log, int=int, _maxwidth=1L<<BPF,
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219 _Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
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220 """Return a random int in the range [0,n)
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221
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222 Handles the case where n has more bits than returned
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223 by a single call to the underlying generator.
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224 """
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225
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226 try:
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227 getrandbits = self.getrandbits
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228 except AttributeError:
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229 pass
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230 else:
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231 # Only call self.getrandbits if the original random() builtin method
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232 # has not been overridden or if a new getrandbits() was supplied.
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233 # This assures that the two methods correspond.
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234 if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
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235 k = int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
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236 r = getrandbits(k)
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237 while r >= n:
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238 r = getrandbits(k)
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239 return r
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240 if n >= _maxwidth:
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241 _warn("Underlying random() generator does not supply \n"
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242 "enough bits to choose from a population range this large")
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243 return int(self.random() * n)
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244
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245 ## -------------------- sequence methods -------------------
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246
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247 def choice(self, seq):
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248 """Choose a random element from a non-empty sequence."""
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249 return seq[int(self.random() * len(seq))] # raises IndexError if seq is empty
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250
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251 def shuffle(self, x, random=None, int=int):
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252 """x, random=random.random -> shuffle list x in place; return None.
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253
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254 Optional arg random is a 0-argument function returning a random
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255 float in [0.0, 1.0); by default, the standard random.random.
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256
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257 Note that for even rather small len(x), the total number of
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258 permutations of x is larger than the period of most random number
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259 generators; this implies that "most" permutations of a long
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260 sequence can never be generated.
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261 """
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262
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263 if random is None:
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264 random = self.random
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265 for i in reversed(xrange(1, len(x))):
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266 # pick an element in x[:i+1] with which to exchange x[i]
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267 j = int(random() * (i+1))
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268 x[i], x[j] = x[j], x[i]
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269
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270 def sample(self, population, k):
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271 """Chooses k unique random elements from a population sequence.
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272
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273 Returns a new list containing elements from the population while
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274 leaving the original population unchanged. The resulting list is
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275 in selection order so that all sub-slices will also be valid random
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276 samples. This allows raffle winners (the sample) to be partitioned
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277 into grand prize and second place winners (the subslices).
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278
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279 Members of the population need not be hashable or unique. If the
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280 population contains repeats, then each occurrence is a possible
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281 selection in the sample.
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282
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283 To choose a sample in a range of integers, use xrange as an argument.
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284 This is especially fast and space efficient for sampling from a
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285 large population: sample(xrange(10000000), 60)
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286 """
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287
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288 # Sampling without replacement entails tracking either potential
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289 # selections (the pool) in a list or previous selections in a set.
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290
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291 # When the number of selections is small compared to the
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292 # population, then tracking selections is efficient, requiring
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293 # only a small set and an occasional reselection. For
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294 # a larger number of selections, the pool tracking method is
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295 # preferred since the list takes less space than the
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296 # set and it doesn't suffer from frequent reselections.
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297
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298 n = len(population)
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299 if not 0 <= k <= n:
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300 raise ValueError, "sample larger than population"
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301 random = self.random
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302 _int = int
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303 result = [None] * k
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304 setsize = 21 # size of a small set minus size of an empty list
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305 if k > 5:
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306 setsize += 4 ** _ceil(_log(k * 3, 4)) # table size for big sets
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307 if n <= setsize: # is an n-length list smaller than a k-length set
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308 pool = list(population)
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309 for i in xrange(k): # invariant: non-selected at [0,n-i)
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310 j = _int(random() * (n-i))
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311 result[i] = pool[j]
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312 pool[j] = pool[n-i-1] # move non-selected item into vacancy
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313 else:
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314 try:
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315 n > 0 and (population[0], population[n//2], population[n-1])
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316 except (TypeError, KeyError): # handle non-sequence iterables
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317 population = tuple(population)
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318 selected = set()
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319 selected_add = selected.add
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320 for i in xrange(k):
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321 j = _int(random() * n)
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322 while j in selected:
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323 j = _int(random() * n)
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324 selected_add(j)
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325 result[i] = population[j]
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326 return result
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327
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328 ## -------------------- real-valued distributions -------------------
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329
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330 ## -------------------- uniform distribution -------------------
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331
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332 def uniform(self, a, b):
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333 """Get a random number in the range [a, b)."""
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334 return a + (b-a) * self.random()
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335
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336 ## -------------------- normal distribution --------------------
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337
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338 def normalvariate(self, mu, sigma):
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339 """Normal distribution.
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340
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341 mu is the mean, and sigma is the standard deviation.
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342
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343 """
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344 # mu = mean, sigma = standard deviation
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345
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346 # Uses Kinderman and Monahan method. Reference: Kinderman,
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347 # A.J. and Monahan, J.F., "Computer generation of random
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348 # variables using the ratio of uniform deviates", ACM Trans
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349 # Math Software, 3, (1977), pp257-260.
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350
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351 random = self.random
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352 while 1:
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353 u1 = random()
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354 u2 = 1.0 - random()
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355 z = NV_MAGICCONST*(u1-0.5)/u2
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356 zz = z*z/4.0
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357 if zz <= -_log(u2):
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358 break
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359 return mu + z*sigma
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360
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361 ## -------------------- lognormal distribution --------------------
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362
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363 def lognormvariate(self, mu, sigma):
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364 """Log normal distribution.
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365
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366 If you take the natural logarithm of this distribution, you'll get a
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367 normal distribution with mean mu and standard deviation sigma.
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368 mu can have any value, and sigma must be greater than zero.
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369
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370 """
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371 return _exp(self.normalvariate(mu, sigma))
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372
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373 ## -------------------- exponential distribution --------------------
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374
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375 def expovariate(self, lambd):
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376 """Exponential distribution.
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377
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378 lambd is 1.0 divided by the desired mean. (The parameter would be
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379 called "lambda", but that is a reserved word in Python.) Returned
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380 values range from 0 to positive infinity.
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381
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382 """
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383 # lambd: rate lambd = 1/mean
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384 # ('lambda' is a Python reserved word)
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385
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386 random = self.random
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387 u = random()
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388 while u <= 1e-7:
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diff changeset
389 u = random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
390 return -_log(u)/lambd
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
391
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
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parents: 16243
diff changeset
392 ## -------------------- von Mises distribution --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
393
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
394 def vonmisesvariate(self, mu, kappa):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
395 """Circular data distribution.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
396
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
397 mu is the mean angle, expressed in radians between 0 and 2*pi, and
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
398 kappa is the concentration parameter, which must be greater than or
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
399 equal to zero. If kappa is equal to zero, this distribution reduces
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
400 to a uniform random angle over the range 0 to 2*pi.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
401
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
402 """
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
403 # mu: mean angle (in radians between 0 and 2*pi)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
404 # kappa: concentration parameter kappa (>= 0)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
405 # if kappa = 0 generate uniform random angle
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
406
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
407 # Based upon an algorithm published in: Fisher, N.I.,
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
408 # "Statistical Analysis of Circular Data", Cambridge
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
409 # University Press, 1993.
7881
6370f1593c72 Correction to vonmisesvariate() by Magnus Kessler: it should take and
Guido van Rossum <guido@python.org>
parents: 7412
diff changeset
410
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
411 # Thanks to Magnus Kessler for a correction to the
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
412 # implementation of step 4.
7881
6370f1593c72 Correction to vonmisesvariate() by Magnus Kessler: it should take and
Guido van Rossum <guido@python.org>
parents: 7412
diff changeset
413
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
414 random = self.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
415 if kappa <= 1e-6:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
416 return TWOPI * random()
7881
6370f1593c72 Correction to vonmisesvariate() by Magnus Kessler: it should take and
Guido van Rossum <guido@python.org>
parents: 7412
diff changeset
417
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
418 a = 1.0 + _sqrt(1.0 + 4.0 * kappa * kappa)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
419 b = (a - _sqrt(2.0 * a))/(2.0 * kappa)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
420 r = (1.0 + b * b)/(2.0 * b)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
421
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
422 while 1:
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
423 u1 = random()
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
424
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
425 z = _cos(_pi * u1)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
426 f = (1.0 + r * z)/(r + z)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
427 c = kappa * (r - f)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
428
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
429 u2 = random()
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
430
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
431 if u2 < c * (2.0 - c) or u2 <= c * _exp(1.0 - c):
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
432 break
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
433
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
434 u3 = random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
435 if u3 > 0.5:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
436 theta = (mu % TWOPI) + _acos(f)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
437 else:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
438 theta = (mu % TWOPI) - _acos(f)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
439
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
440 return theta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
441
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
442 ## -------------------- gamma distribution --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
443
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
444 def gammavariate(self, alpha, beta):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
445 """Gamma distribution. Not the gamma function!
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
446
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
447 Conditions on the parameters are alpha > 0 and beta > 0.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
448
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
449 """
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
450
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
451 # alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
452
23451
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
453 # Warning: a few older sources define the gamma distribution in terms
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
454 # of alpha > -1.0
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
455 if alpha <= 0.0 or beta <= 0.0:
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
456 raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
457
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
458 random = self.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
459 if alpha > 1.0:
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
460
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
461 # Uses R.C.H. Cheng, "The generation of Gamma
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
462 # variables with non-integral shape parameters",
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
463 # Applied Statistics, (1977), 26, No. 1, p71-74
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
464
23442
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23380
diff changeset
465 ainv = _sqrt(2.0 * alpha - 1.0)
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23380
diff changeset
466 bbb = alpha - LOG4
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23380
diff changeset
467 ccc = alpha + ainv
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
468
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
469 while 1:
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
470 u1 = random()
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
471 if not 1e-7 < u1 < .9999999:
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
472 continue
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
473 u2 = 1.0 - random()
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
474 v = _log(u1/(1.0-u1))/ainv
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
475 x = alpha*_exp(v)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
476 z = u1*u1*u2
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
477 r = bbb+ccc*v-x
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
478 if r + SG_MAGICCONST - 4.5*z >= 0.0 or r >= _log(z):
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
479 return x * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
480
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
481 elif alpha == 1.0:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
482 # expovariate(1)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
483 u = random()
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
484 while u <= 1e-7:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
485 u = random()
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
486 return -_log(u) * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
487
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
488 else: # alpha is between 0 and 1 (exclusive)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
489
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
490 # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
491
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
492 while 1:
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
493 u = random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
494 b = (_e + alpha)/_e
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
495 p = b*u
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
496 if p <= 1.0:
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
497 x = p ** (1.0/alpha)
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
498 else:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
499 x = -_log((b-p)/alpha)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
500 u1 = random()
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
501 if p > 1.0:
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
502 if u1 <= x ** (alpha - 1.0):
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
503 break
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
504 elif u1 <= _exp(-x):
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
505 break
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
506 return x * beta
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
507
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
508 ## -------------------- Gauss (faster alternative) --------------------
1576
695fb494a3a2 Added gauss() (same as normal but twice as fast) and betavariate();
Guido van Rossum <guido@python.org>
parents: 1575
diff changeset
509
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
510 def gauss(self, mu, sigma):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
511 """Gaussian distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
512
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
513 mu is the mean, and sigma is the standard deviation. This is
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
514 slightly faster than the normalvariate() function.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
515
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
516 Not thread-safe without a lock around calls.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
517
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
518 """
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
519
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
520 # When x and y are two variables from [0, 1), uniformly
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
521 # distributed, then
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
522 #
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
523 # cos(2*pi*x)*sqrt(-2*log(1-y))
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
524 # sin(2*pi*x)*sqrt(-2*log(1-y))
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
525 #
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
526 # are two *independent* variables with normal distribution
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
527 # (mu = 0, sigma = 1).
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
528 # (Lambert Meertens)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
529 # (corrected version; bug discovered by Mike Miller, fixed by LM)
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
530
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
531 # Multithreading note: When two threads call this function
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
532 # simultaneously, it is possible that they will receive the
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
533 # same return value. The window is very small though. To
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
534 # avoid this, you have to use a lock around all calls. (I
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
535 # didn't want to slow this down in the serial case by using a
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
536 # lock here.)
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
537
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
538 random = self.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
539 z = self.gauss_next
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
540 self.gauss_next = None
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
541 if z is None:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
542 x2pi = random() * TWOPI
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
543 g2rad = _sqrt(-2.0 * _log(1.0 - random()))
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
544 z = _cos(x2pi) * g2rad
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
545 self.gauss_next = _sin(x2pi) * g2rad
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
546
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
547 return mu + z*sigma
1576
695fb494a3a2 Added gauss() (same as normal but twice as fast) and betavariate();
Guido van Rossum <guido@python.org>
parents: 1575
diff changeset
548
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
549 ## -------------------- beta --------------------
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
550 ## See
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
551 ## http://sourceforge.net/bugs/?func=detailbug&bug_id=130030&group_id=5470
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
552 ## for Ivan Frohne's insightful analysis of why the original implementation:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
553 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
554 ## def betavariate(self, alpha, beta):
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
555 ## # Discrete Event Simulation in C, pp 87-88.
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
556 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
557 ## y = self.expovariate(alpha)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
558 ## z = self.expovariate(1.0/beta)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
559 ## return z/(y+z)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
560 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
561 ## was dead wrong, and how it probably got that way.
1576
695fb494a3a2 Added gauss() (same as normal but twice as fast) and betavariate();
Guido van Rossum <guido@python.org>
parents: 1575
diff changeset
562
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
563 def betavariate(self, alpha, beta):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
564 """Beta distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
565
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
566 Conditions on the parameters are alpha > -1 and beta} > -1.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
567 Returned values range between 0 and 1.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
568
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
569 """
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
570
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
571 # This version due to Janne Sinkkonen, and matches all the std
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
572 # texts (e.g., Knuth Vol 2 Ed 3 pg 134 "the beta distribution").
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
573 y = self.gammavariate(alpha, 1.)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
574 if y == 0:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
575 return 0.0
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
576 else:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
577 return y / (y + self.gammavariate(beta, 1.))
1576
695fb494a3a2 Added gauss() (same as normal but twice as fast) and betavariate();
Guido van Rossum <guido@python.org>
parents: 1575
diff changeset
578
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
579 ## -------------------- Pareto --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
580
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
581 def paretovariate(self, alpha):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
582 """Pareto distribution. alpha is the shape parameter."""
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
583 # Jain, pg. 495
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
584
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
585 u = 1.0 - self.random()
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
586 return 1.0 / pow(u, 1.0/alpha)
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
587
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
588 ## -------------------- Weibull --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
589
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
590 def weibullvariate(self, alpha, beta):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
591 """Weibull distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
592
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
593 alpha is the scale parameter and beta is the shape parameter.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
594
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
595 """
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
596 # Jain, pg. 499; bug fix courtesy Bill Arms
11200
bca2d14f3e36 Add Tim Peters' shuffle() algorithm.
Guido van Rossum <guido@python.org>
parents: 8802
diff changeset
597
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
598 u = 1.0 - self.random()
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
599 return alpha * pow(-_log(u), 1.0/beta)
11200
bca2d14f3e36 Add Tim Peters' shuffle() algorithm.
Guido van Rossum <guido@python.org>
parents: 8802
diff changeset
600
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
601 ## -------------------- Wichmann-Hill -------------------
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
602
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
603 class WichmannHill(Random):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
604
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
605 VERSION = 1 # used by getstate/setstate
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
606
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
607 def seed(self, a=None):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
608 """Initialize internal state from hashable object.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
609
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
610 None or no argument seeds from current time or from an operating
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
611 system specific randomness source if available.
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
612
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
613 If a is not None or an int or long, hash(a) is used instead.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
614
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
615 If a is an int or long, a is used directly. Distinct values between
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
616 0 and 27814431486575L inclusive are guaranteed to yield distinct
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
617 internal states (this guarantee is specific to the default
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
618 Wichmann-Hill generator).
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
619 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
620
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
621 if a is None:
33409
8e23bd3d5b1a Fulfill Martin's request to use try/except rather than a "look before
Raymond Hettinger <python@rcn.com>
parents: 33399
diff changeset
622 try:
8e23bd3d5b1a Fulfill Martin's request to use try/except rather than a "look before
Raymond Hettinger <python@rcn.com>
parents: 33399
diff changeset
623 a = long(_hexlify(_urandom(16)), 16)
8e23bd3d5b1a Fulfill Martin's request to use try/except rather than a "look before
Raymond Hettinger <python@rcn.com>
parents: 33399
diff changeset
624 except NotImplementedError:
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
625 import time
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
626 a = long(time.time() * 256) # use fractional seconds
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
627
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
628 if not isinstance(a, (int, long)):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
629 a = hash(a)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
630
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
631 a, x = divmod(a, 30268)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
632 a, y = divmod(a, 30306)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
633 a, z = divmod(a, 30322)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
634 self._seed = int(x)+1, int(y)+1, int(z)+1
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
635
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
636 self.gauss_next = None
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
637
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
638 def random(self):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
639 """Get the next random number in the range [0.0, 1.0)."""
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
640
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
641 # Wichman-Hill random number generator.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
642 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
643 # Wichmann, B. A. & Hill, I. D. (1982)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
644 # Algorithm AS 183:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
645 # An efficient and portable pseudo-random number generator
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
646 # Applied Statistics 31 (1982) 188-190
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
647 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
648 # see also:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
649 # Correction to Algorithm AS 183
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
650 # Applied Statistics 33 (1984) 123
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
651 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
652 # McLeod, A. I. (1985)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
653 # A remark on Algorithm AS 183
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
654 # Applied Statistics 34 (1985),198-200
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
655
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
656 # This part is thread-unsafe:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
657 # BEGIN CRITICAL SECTION
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
658 x, y, z = self._seed
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
659 x = (171 * x) % 30269
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
660 y = (172 * y) % 30307
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
661 z = (170 * z) % 30323
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
662 self._seed = x, y, z
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
663 # END CRITICAL SECTION
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
664
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
665 # Note: on a platform using IEEE-754 double arithmetic, this can
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
666 # never return 0.0 (asserted by Tim; proof too long for a comment).
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
667 return (x/30269.0 + y/30307.0 + z/30323.0) % 1.0
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
668
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
669 def getstate(self):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
670 """Return internal state; can be passed to setstate() later."""
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
671 return self.VERSION, self._seed, self.gauss_next
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
672
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
673 def setstate(self, state):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
674 """Restore internal state from object returned by getstate()."""
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
675 version = state[0]
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
676 if version == 1:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
677 version, self._seed, self.gauss_next = state
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
678 else:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
679 raise ValueError("state with version %s passed to "
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
680 "Random.setstate() of version %s" %
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
681 (version, self.VERSION))
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
682
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
683 def jumpahead(self, n):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
684 """Act as if n calls to random() were made, but quickly.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
685
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
686 n is an int, greater than or equal to 0.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
687
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
688 Example use: If you have 2 threads and know that each will
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
689 consume no more than a million random numbers, create two Random
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
690 objects r1 and r2, then do
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
691 r2.setstate(r1.getstate())
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
692 r2.jumpahead(1000000)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
693 Then r1 and r2 will use guaranteed-disjoint segments of the full
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
694 period.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
695 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
696
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
697 if not n >= 0:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
698 raise ValueError("n must be >= 0")
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
699 x, y, z = self._seed
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
700 x = int(x * pow(171, n, 30269)) % 30269
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
701 y = int(y * pow(172, n, 30307)) % 30307
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
702 z = int(z * pow(170, n, 30323)) % 30323
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
703 self._seed = x, y, z
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
704
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
705 def __whseed(self, x=0, y=0, z=0):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
706 """Set the Wichmann-Hill seed from (x, y, z).
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
707
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
708 These must be integers in the range [0, 256).
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
709 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
710
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
711 if not type(x) == type(y) == type(z) == int:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
712 raise TypeError('seeds must be integers')
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
713 if not (0 <= x < 256 and 0 <= y < 256 and 0 <= z < 256):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
714 raise ValueError('seeds must be in range(0, 256)')
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
715 if 0 == x == y == z:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
716 # Initialize from current time
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
717 import time
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
718 t = long(time.time() * 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
719 t = int((t&0xffffff) ^ (t>>24))
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
720 t, x = divmod(t, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
721 t, y = divmod(t, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
722 t, z = divmod(t, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
723 # Zero is a poor seed, so substitute 1
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
724 self._seed = (x or 1, y or 1, z or 1)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
725
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
726 self.gauss_next = None
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
727
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
728 def whseed(self, a=None):
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
729 """Seed from hashable object's hash code.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
730
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
731 None or no argument seeds from current time. It is not guaranteed
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
732 that objects with distinct hash codes lead to distinct internal
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
733 states.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
734
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
735 This is obsolete, provided for compatibility with the seed routine
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
736 used prior to Python 2.1. Use the .seed() method instead.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
737 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
738
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
739 if a is None:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
740 self.__whseed()
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
741 return
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
742 a = hash(a)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
743 a, x = divmod(a, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
744 a, y = divmod(a, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
745 a, z = divmod(a, 256)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
746 x = (x + a) % 256 or 1
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
747 y = (y + a) % 256 or 1
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
748 z = (z + a) % 256 or 1
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
749 self.__whseed(x, y, z)
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
750
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
751 ## --------------- Operating System Random Source ------------------
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
752
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
753 class SystemRandom(Random):
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
754 """Alternate random number generator using sources provided
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
755 by the operating system (such as /dev/urandom on Unix or
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
756 CryptGenRandom on Windows).
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
757
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
758 Not available on all systems (see os.urandom() for details).
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
759 """
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
760
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
761 def random(self):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
762 """Get the next random number in the range [0.0, 1.0)."""
33350
c44f083465f9 HardwareRandom: Go back to multiplying by 2**-BPF instead of using
Tim Peters <tim.peters@gmail.com>
parents: 33349
diff changeset
763 return (long(_hexlify(_urandom(7)), 16) >> 3) * RECIP_BPF
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
764
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
765 def getrandbits(self, k):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
766 """getrandbits(k) -> x. Generates a long int with k random bits."""
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
767 if k <= 0:
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
768 raise ValueError('number of bits must be greater than zero')
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
769 if k != int(k):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
770 raise TypeError('number of bits should be an integer')
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
771 bytes = (k + 7) // 8 # bits / 8 and rounded up
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
772 x = long(_hexlify(_urandom(bytes)), 16)
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
773 return x >> (bytes * 8 - k) # trim excess bits
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
774
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
775 def _stub(self, *args, **kwds):
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
776 "Stub method. Not used for a system random number generator."
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
777 return None
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
778 seed = jumpahead = _stub
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
779
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
780 def _notimplemented(self, *args, **kwds):
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
781 "Method should not be called for a system random number generator."
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
782 raise NotImplementedError('System entropy source does not have state.')
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
783 getstate = setstate = _notimplemented
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
784
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
785 ## -------------------- test program --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
786
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
787 def _test_generator(n, func, args):
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
788 import time
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
789 print n, 'times', func.__name__
29250
34609fa35b11 'sum' is no longer a good variable name. Use 'total' instead.
Raymond Hettinger <python@rcn.com>
parents: 27279
diff changeset
790 total = 0.0
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
791 sqsum = 0.0
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
792 smallest = 1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
793 largest = -1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
794 t0 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
795 for i in range(n):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
796 x = func(*args)
29250
34609fa35b11 'sum' is no longer a good variable name. Use 'total' instead.
Raymond Hettinger <python@rcn.com>
parents: 27279
diff changeset
797 total += x
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
798 sqsum = sqsum + x*x
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
799 smallest = min(x, smallest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
800 largest = max(x, largest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
801 t1 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
802 print round(t1-t0, 3), 'sec,',
29250
34609fa35b11 'sum' is no longer a good variable name. Use 'total' instead.
Raymond Hettinger <python@rcn.com>
parents: 27279
diff changeset
803 avg = total/n
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
804 stddev = _sqrt(sqsum/n - avg*avg)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
805 print 'avg %g, stddev %g, min %g, max %g' % \
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
806 (avg, stddev, smallest, largest)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
807
26155
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
808
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
809 def _test(N=2000):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
810 _test_generator(N, random, ())
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
811 _test_generator(N, normalvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
812 _test_generator(N, lognormvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
813 _test_generator(N, vonmisesvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
814 _test_generator(N, gammavariate, (0.01, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
815 _test_generator(N, gammavariate, (0.1, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
816 _test_generator(N, gammavariate, (0.1, 2.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
817 _test_generator(N, gammavariate, (0.5, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
818 _test_generator(N, gammavariate, (0.9, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
819 _test_generator(N, gammavariate, (1.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
820 _test_generator(N, gammavariate, (2.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
821 _test_generator(N, gammavariate, (20.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
822 _test_generator(N, gammavariate, (200.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
823 _test_generator(N, gauss, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
824 _test_generator(N, betavariate, (3.0, 3.0))
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
825
16292
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
826 # Create one instance, seeded from current time, and export its methods
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
827 # as module-level functions. The functions share state across all uses
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
828 #(both in the user's code and in the Python libraries), but that's fine
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
829 # for most programs and is easier for the casual user than making them
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
830 # instantiate their own Random() instance.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
831
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
832 _inst = Random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
833 seed = _inst.seed
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
834 random = _inst.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
835 uniform = _inst.uniform
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
836 randint = _inst.randint
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
837 choice = _inst.choice
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
838 randrange = _inst.randrange
26155
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
839 sample = _inst.sample
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
840 shuffle = _inst.shuffle
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
841 normalvariate = _inst.normalvariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
842 lognormvariate = _inst.lognormvariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
843 expovariate = _inst.expovariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
844 vonmisesvariate = _inst.vonmisesvariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
845 gammavariate = _inst.gammavariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
846 gauss = _inst.gauss
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
847 betavariate = _inst.betavariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
848 paretovariate = _inst.paretovariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
849 weibullvariate = _inst.weibullvariate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
850 getstate = _inst.getstate
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
851 setstate = _inst.setstate
16243
9fd96e2455b6 Fix bugs introduced by rewrite (in particular, time-based initialization
Tim Peters <tim.peters@gmail.com>
parents: 16242
diff changeset
852 jumpahead = _inst.jumpahead
30649
8841d34a2c37 SF bug #812202: randint is always even
Raymond Hettinger <python@rcn.com>
parents: 30346
diff changeset
853 getrandbits = _inst.getrandbits
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
854
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
855 if __name__ == '__main__':
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
856 _test()