annotate Lib/random.py @ 80661:94de77bd0b4b 2.7

Issue #16194: document imp.load_dynamic problems when read several extension modules from the same binary object file.
author Andrew Svetlov <andrew.svetlov@gmail.com>
date Thu, 29 Nov 2012 19:51:28 +0200
parents 4970fa3c4a0b
children 6a3d18cede49
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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 triangular
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17 normal (Gaussian)
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18 lognormal
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19 negative exponential
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20 gamma
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21 beta
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22 pareto
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23 Weibull
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24
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25 distributions on the circle (angles 0 to 2pi)
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26 ---------------------------------------------
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27 circular uniform
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28 von Mises
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29
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30 General notes on the underlying Mersenne Twister core generator:
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31
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32 * The period is 2**19937-1.
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33 * It is one of the most extensively tested generators in existence.
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34 * Without a direct way to compute N steps forward, the semantics of
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35 jumpahead(n) are weakened to simply jump to another distant state and rely
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36 on the large period to avoid overlapping sequences.
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37 * The random() method is implemented in C, executes in a single Python step,
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38 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 __future__ import division
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43 from warnings import warn as _warn
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44 from types import MethodType as _MethodType, BuiltinMethodType as _BuiltinMethodType
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45 from math import log as _log, exp as _exp, pi as _pi, e as _e, ceil as _ceil
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46 from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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47 from os import urandom as _urandom
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48 from binascii import hexlify as _hexlify
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49 import hashlib as _hashlib
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50
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51 __all__ = ["Random","seed","random","uniform","randint","choice","sample",
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52 "randrange","shuffle","normalvariate","lognormvariate",
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53 "expovariate","vonmisesvariate","gammavariate","triangular",
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54 "gauss","betavariate","paretovariate","weibullvariate",
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55 "getstate","setstate","jumpahead", "WichmannHill", "getrandbits",
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56 "SystemRandom"]
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57
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58 NV_MAGICCONST = 4 * _exp(-0.5)/_sqrt(2.0)
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59 TWOPI = 2.0*_pi
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60 LOG4 = _log(4.0)
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61 SG_MAGICCONST = 1.0 + _log(4.5)
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62 BPF = 53 # Number of bits in a float
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63 RECIP_BPF = 2**-BPF
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64
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65
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66 # Translated by Guido van Rossum from C source provided by
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67 # Adrian Baddeley. Adapted by Raymond Hettinger for use with
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68 # the Mersenne Twister and os.urandom() core generators.
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69
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70 import _random
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71
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72 class Random(_random.Random):
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73 """Random number generator base class used by bound module functions.
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74
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75 Used to instantiate instances of Random to get generators that don't
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76 share state. Especially useful for multi-threaded programs, creating
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77 a different instance of Random for each thread, and using the jumpahead()
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78 method to ensure that the generated sequences seen by each thread don't
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79 overlap.
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80
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81 Class Random can also be subclassed if you want to use a different basic
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82 generator of your own devising: in that case, override the following
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83 methods: random(), seed(), getstate(), setstate() and jumpahead().
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84 Optionally, implement a getrandbits() method so that randrange() can cover
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85 arbitrarily large ranges.
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86
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87 """
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88
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89 VERSION = 3 # used by getstate/setstate
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90
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91 def __init__(self, x=None):
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92 """Initialize an instance.
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93
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94 Optional argument x controls seeding, as for Random.seed().
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95 """
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96
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97 self.seed(x)
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98 self.gauss_next = None
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99
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100 def seed(self, a=None):
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101 """Initialize internal state from hashable object.
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102
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103 None or no argument seeds from current time or from an operating
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104 system specific randomness source if available.
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105
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106 If a is not None or an int or long, hash(a) is used instead.
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107 """
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108
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109 if a is None:
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110 try:
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111 a = long(_hexlify(_urandom(16)), 16)
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112 except NotImplementedError:
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113 import time
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114 a = long(time.time() * 256) # use fractional seconds
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115
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116 super(Random, self).seed(a)
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117 self.gauss_next = None
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118
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119 def getstate(self):
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120 """Return internal state; can be passed to setstate() later."""
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121 return self.VERSION, super(Random, self).getstate(), self.gauss_next
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122
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123 def setstate(self, state):
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124 """Restore internal state from object returned by getstate()."""
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125 version = state[0]
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126 if version == 3:
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127 version, internalstate, self.gauss_next = state
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128 super(Random, self).setstate(internalstate)
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129 elif version == 2:
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130 version, internalstate, self.gauss_next = state
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131 # In version 2, the state was saved as signed ints, which causes
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132 # inconsistencies between 32/64-bit systems. The state is
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133 # really unsigned 32-bit ints, so we convert negative ints from
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134 # version 2 to positive longs for version 3.
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135 try:
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136 internalstate = tuple( long(x) % (2**32) for x in internalstate )
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137 except ValueError, e:
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138 raise TypeError, e
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139 super(Random, self).setstate(internalstate)
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140 else:
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141 raise ValueError("state with version %s passed to "
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142 "Random.setstate() of version %s" %
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143 (version, self.VERSION))
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144
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145 def jumpahead(self, n):
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146 """Change the internal state to one that is likely far away
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147 from the current state. This method will not be in Py3.x,
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148 so it is better to simply reseed.
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149 """
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150 # The super.jumpahead() method uses shuffling to change state,
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151 # so it needs a large and "interesting" n to work with. Here,
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152 # we use hashing to create a large n for the shuffle.
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153 s = repr(n) + repr(self.getstate())
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154 n = int(_hashlib.new('sha512', s).hexdigest(), 16)
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155 super(Random, self).jumpahead(n)
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156
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157 ## ---- Methods below this point do not need to be overridden when
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158 ## ---- subclassing for the purpose of using a different core generator.
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159
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160 ## -------------------- pickle support -------------------
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161
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162 def __getstate__(self): # for pickle
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163 return self.getstate()
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164
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165 def __setstate__(self, state): # for pickle
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166 self.setstate(state)
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167
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168 def __reduce__(self):
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169 return self.__class__, (), self.getstate()
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170
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171 ## -------------------- integer methods -------------------
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172
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173 def randrange(self, start, stop=None, step=1, int=int, default=None,
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174 maxwidth=1L<<BPF):
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175 """Choose a random item from range(start, stop[, step]).
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176
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177 This fixes the problem with randint() which includes the
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178 endpoint; in Python this is usually not what you want.
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179 Do not supply the 'int', 'default', and 'maxwidth' arguments.
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180 """
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181
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182 # This code is a bit messy to make it fast for the
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183 # common case while still doing adequate error checking.
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184 istart = int(start)
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185 if istart != start:
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186 raise ValueError, "non-integer arg 1 for randrange()"
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187 if stop is default:
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188 if istart > 0:
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189 if istart >= maxwidth:
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190 return self._randbelow(istart)
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191 return int(self.random() * istart)
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192 raise ValueError, "empty range for randrange()"
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193
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194 # stop argument supplied.
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195 istop = int(stop)
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196 if istop != stop:
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197 raise ValueError, "non-integer stop for randrange()"
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198 width = istop - istart
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199 if step == 1 and width > 0:
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200 # Note that
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201 # int(istart + self.random()*width)
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202 # instead would be incorrect. For example, consider istart
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203 # = -2 and istop = 0. Then the guts would be in
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204 # -2.0 to 0.0 exclusive on both ends (ignoring that random()
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205 # might return 0.0), and because int() truncates toward 0, the
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206 # final result would be -1 or 0 (instead of -2 or -1).
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207 # istart + int(self.random()*width)
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208 # would also be incorrect, for a subtler reason: the RHS
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209 # can return a long, and then randrange() would also return
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210 # a long, but we're supposed to return an int (for backward
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211 # compatibility).
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212
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213 if width >= maxwidth:
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214 return int(istart + self._randbelow(width))
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215 return int(istart + int(self.random()*width))
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216 if step == 1:
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217 raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
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218
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219 # Non-unit step argument supplied.
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220 istep = int(step)
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221 if istep != step:
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222 raise ValueError, "non-integer step for randrange()"
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223 if istep > 0:
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224 n = (width + istep - 1) // istep
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225 elif istep < 0:
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226 n = (width + istep + 1) // istep
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227 else:
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228 raise ValueError, "zero step for randrange()"
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229
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230 if n <= 0:
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231 raise ValueError, "empty range for randrange()"
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232
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233 if n >= maxwidth:
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234 return istart + istep*self._randbelow(n)
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235 return istart + istep*int(self.random() * n)
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236
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237 def randint(self, a, b):
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238 """Return random integer in range [a, b], including both end points.
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239 """
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240
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241 return self.randrange(a, b+1)
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242
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243 def _randbelow(self, n, _log=_log, int=int, _maxwidth=1L<<BPF,
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244 _Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
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245 """Return a random int in the range [0,n)
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246
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247 Handles the case where n has more bits than returned
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248 by a single call to the underlying generator.
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249 """
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250
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251 try:
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252 getrandbits = self.getrandbits
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253 except AttributeError:
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254 pass
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255 else:
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256 # Only call self.getrandbits if the original random() builtin method
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257 # has not been overridden or if a new getrandbits() was supplied.
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258 # This assures that the two methods correspond.
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259 if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
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260 k = int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
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261 r = getrandbits(k)
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262 while r >= n:
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263 r = getrandbits(k)
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264 return r
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265 if n >= _maxwidth:
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266 _warn("Underlying random() generator does not supply \n"
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267 "enough bits to choose from a population range this large")
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268 return int(self.random() * n)
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269
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270 ## -------------------- sequence methods -------------------
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271
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272 def choice(self, seq):
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273 """Choose a random element from a non-empty sequence."""
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274 return seq[int(self.random() * len(seq))] # raises IndexError if seq is empty
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275
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276 def shuffle(self, x, random=None, int=int):
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277 """x, random=random.random -> shuffle list x in place; return None.
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278
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279 Optional arg random is a 0-argument function returning a random
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280 float in [0.0, 1.0); by default, the standard random.random.
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281 """
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282
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283 if random is None:
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284 random = self.random
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285 for i in reversed(xrange(1, len(x))):
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286 # pick an element in x[:i+1] with which to exchange x[i]
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287 j = int(random() * (i+1))
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288 x[i], x[j] = x[j], x[i]
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289
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290 def sample(self, population, k):
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291 """Chooses k unique random elements from a population sequence.
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292
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293 Returns a new list containing elements from the population while
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294 leaving the original population unchanged. The resulting list is
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295 in selection order so that all sub-slices will also be valid random
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296 samples. This allows raffle winners (the sample) to be partitioned
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297 into grand prize and second place winners (the subslices).
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298
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299 Members of the population need not be hashable or unique. If the
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300 population contains repeats, then each occurrence is a possible
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301 selection in the sample.
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302
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303 To choose a sample in a range of integers, use xrange as an argument.
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304 This is especially fast and space efficient for sampling from a
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305 large population: sample(xrange(10000000), 60)
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306 """
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307
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308 # Sampling without replacement entails tracking either potential
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309 # selections (the pool) in a list or previous selections in a set.
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310
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311 # When the number of selections is small compared to the
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312 # population, then tracking selections is efficient, requiring
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313 # only a small set and an occasional reselection. For
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314 # a larger number of selections, the pool tracking method is
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315 # preferred since the list takes less space than the
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316 # set and it doesn't suffer from frequent reselections.
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317
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318 n = len(population)
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319 if not 0 <= k <= n:
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320 raise ValueError("sample larger than population")
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321 random = self.random
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322 _int = int
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323 result = [None] * k
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324 setsize = 21 # size of a small set minus size of an empty list
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325 if k > 5:
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326 setsize += 4 ** _ceil(_log(k * 3, 4)) # table size for big sets
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327 if n <= setsize or hasattr(population, "keys"):
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328 # An n-length list is smaller than a k-length set, or this is a
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329 # mapping type so the other algorithm wouldn't work.
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330 pool = list(population)
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331 for i in xrange(k): # invariant: non-selected at [0,n-i)
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332 j = _int(random() * (n-i))
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333 result[i] = pool[j]
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334 pool[j] = pool[n-i-1] # move non-selected item into vacancy
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335 else:
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336 try:
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337 selected = set()
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338 selected_add = selected.add
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339 for i in xrange(k):
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340 j = _int(random() * n)
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341 while j in selected:
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342 j = _int(random() * n)
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343 selected_add(j)
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344 result[i] = population[j]
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345 except (TypeError, KeyError): # handle (at least) sets
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346 if isinstance(population, list):
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347 raise
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348 return self.sample(tuple(population), k)
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349 return result
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350
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351 ## -------------------- real-valued distributions -------------------
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352
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353 ## -------------------- uniform distribution -------------------
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354
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355 def uniform(self, a, b):
54708
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356 "Get a random number in the range [a, b) or [a, b] depending on rounding."
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357 return a + (b-a) * self.random()
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358
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359 ## -------------------- triangular --------------------
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360
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361 def triangular(self, low=0.0, high=1.0, mode=None):
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362 """Triangular distribution.
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363
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364 Continuous distribution bounded by given lower and upper limits,
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365 and having a given mode value in-between.
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366
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367 http://en.wikipedia.org/wiki/Triangular_distribution
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368
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369 """
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370 u = self.random()
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371 c = 0.5 if mode is None else (mode - low) / (high - low)
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372 if u > c:
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373 u = 1.0 - u
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374 c = 1.0 - c
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375 low, high = high, low
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376 return low + (high - low) * (u * c) ** 0.5
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377
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378 ## -------------------- normal distribution --------------------
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379
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380 def normalvariate(self, mu, sigma):
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381 """Normal distribution.
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382
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383 mu is the mean, and sigma is the standard deviation.
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diff changeset
384
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385 """
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diff changeset
386 # mu = mean, sigma = standard deviation
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387
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388 # Uses Kinderman and Monahan method. Reference: Kinderman,
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389 # A.J. and Monahan, J.F., "Computer generation of random
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390 # variables using the ratio of uniform deviates", ACM Trans
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391 # Math Software, 3, (1977), pp257-260.
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392
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393 random = self.random
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394 while 1:
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395 u1 = random()
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396 u2 = 1.0 - random()
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397 z = NV_MAGICCONST*(u1-0.5)/u2
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398 zz = z*z/4.0
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399 if zz <= -_log(u2):
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400 break
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401 return mu + z*sigma
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402
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403 ## -------------------- lognormal distribution --------------------
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404
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405 def lognormvariate(self, mu, sigma):
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406 """Log normal distribution.
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407
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408 If you take the natural logarithm of this distribution, you'll get a
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409 normal distribution with mean mu and standard deviation sigma.
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410 mu can have any value, and sigma must be greater than zero.
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411
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412 """
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413 return _exp(self.normalvariate(mu, sigma))
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414
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415 ## -------------------- exponential distribution --------------------
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416
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417 def expovariate(self, lambd):
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418 """Exponential distribution.
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419
50786
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420 lambd is 1.0 divided by the desired mean. It should be
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421 nonzero. (The parameter would be called "lambda", but that is
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422 a reserved word in Python.) Returned values range from 0 to
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423 positive infinity if lambd is positive, and from negative
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424 infinity to 0 if lambd is negative.
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425
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426 """
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427 # lambd: rate lambd = 1/mean
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428 # ('lambda' is a Python reserved word)
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429
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430 # we use 1-random() instead of random() to preclude the
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431 # possibility of taking the log of zero.
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432 return -_log(1.0 - self.random())/lambd
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433
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434 ## -------------------- von Mises distribution --------------------
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435
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436 def vonmisesvariate(self, mu, kappa):
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437 """Circular data distribution.
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438
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439 mu is the mean angle, expressed in radians between 0 and 2*pi, and
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440 kappa is the concentration parameter, which must be greater than or
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441 equal to zero. If kappa is equal to zero, this distribution reduces
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442 to a uniform random angle over the range 0 to 2*pi.
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443
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444 """
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445 # mu: mean angle (in radians between 0 and 2*pi)
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446 # kappa: concentration parameter kappa (>= 0)
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447 # if kappa = 0 generate uniform random angle
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448
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449 # Based upon an algorithm published in: Fisher, N.I.,
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450 # "Statistical Analysis of Circular Data", Cambridge
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451 # University Press, 1993.
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452
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453 # Thanks to Magnus Kessler for a correction to the
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454 # implementation of step 4.
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455
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456 random = self.random
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457 if kappa <= 1e-6:
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458 return TWOPI * random()
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459
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460 a = 1.0 + _sqrt(1.0 + 4.0 * kappa * kappa)
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461 b = (a - _sqrt(2.0 * a))/(2.0 * kappa)
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462 r = (1.0 + b * b)/(2.0 * b)
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463
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464 while 1:
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465 u1 = random()
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466
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467 z = _cos(_pi * u1)
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468 f = (1.0 + r * z)/(r + z)
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469 c = kappa * (r - f)
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470
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471 u2 = random()
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472
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473 if u2 < c * (2.0 - c) or u2 <= c * _exp(1.0 - c):
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474 break
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475
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476 u3 = random()
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477 if u3 > 0.5:
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478 theta = (mu % TWOPI) + _acos(f)
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479 else:
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480 theta = (mu % TWOPI) - _acos(f)
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481
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482 return theta
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483
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484 ## -------------------- gamma distribution --------------------
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485
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486 def gammavariate(self, alpha, beta):
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487 """Gamma distribution. Not the gamma function!
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488
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489 Conditions on the parameters are alpha > 0 and beta > 0.
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490
68845
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491 The probability distribution function is:
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492
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493 x ** (alpha - 1) * math.exp(-x / beta)
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494 pdf(x) = --------------------------------------
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495 math.gamma(alpha) * beta ** alpha
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496
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497 """
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498
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499 # alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
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500
23451
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501 # Warning: a few older sources define the gamma distribution in terms
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502 # of alpha > -1.0
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503 if alpha <= 0.0 or beta <= 0.0:
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504 raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
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505
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506 random = self.random
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507 if alpha > 1.0:
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508
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509 # Uses R.C.H. Cheng, "The generation of Gamma
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510 # variables with non-integral shape parameters",
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511 # Applied Statistics, (1977), 26, No. 1, p71-74
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512
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513 ainv = _sqrt(2.0 * alpha - 1.0)
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514 bbb = alpha - LOG4
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515 ccc = alpha + ainv
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diff changeset
516
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
517 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
518 u1 = random()
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
519 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
520 continue
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
521 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
522 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
523 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
524 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
525 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
526 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
527 return x * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
528
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
529 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
530 # expovariate(1)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
531 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
532 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
533 u = random()
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
534 return -_log(u) * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
535
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
536 else: # alpha is between 0 and 1 (exclusive)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
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 # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
539
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
540 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
541 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
542 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
543 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
544 if p <= 1.0:
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
545 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
546 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
547 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
548 u1 = random()
34942
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
549 if p > 1.0:
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
550 if u1 <= x ** (alpha - 1.0):
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
551 break
7287b41145ae SF patch #1191489: Simplify logic in random.py
Raymond Hettinger <python@rcn.com>
parents: 34312
diff changeset
552 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
553 break
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
554 return x * beta
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
555
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
556 ## -------------------- 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
557
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
558 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
559 """Gaussian distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
560
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
561 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
562 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
563
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
564 Not thread-safe without a lock around calls.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
565
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
566 """
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
567
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
568 # 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
569 # 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
570 #
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
571 # 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
572 # 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
573 #
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
574 # 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
575 # (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
576 # (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
577 # (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
578
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
579 # 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
580 # 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
581 # 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
582 # 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
583 # 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
584 # lock here.)
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
585
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 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
587 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
588 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
589 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
590 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
591 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
592 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
593 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
594
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
595 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
596
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
597 ## -------------------- beta --------------------
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
598 ## See
69361
e1f0881d2cb4 #11848: replace dead link in random.betavariate comment.
Ezio Melotti <ezio.melotti@gmail.com>
parents: 68845
diff changeset
599 ## http://mail.python.org/pipermail/python-bugs-list/2001-January/003752.html
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
600 ## 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
601 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
602 ## def betavariate(self, alpha, beta):
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
603 ## # 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
604 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
605 ## y = self.expovariate(alpha)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
606 ## 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
607 ## return z/(y+z)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
608 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
609 ## 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
610
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
611 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
612 """Beta distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
613
40673
2f80af674074 SF# 1635892: Fix docs for betavariate's input parameters .
Raymond Hettinger <python@rcn.com>
parents: 40488
diff changeset
614 Conditions on the parameters are alpha > 0 and beta > 0.
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
615 Returned values range between 0 and 1.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
616
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
617 """
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
618
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
619 # 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
620 # 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
621 y = self.gammavariate(alpha, 1.)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
622 if y == 0:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
623 return 0.0
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
624 else:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
625 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
626
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
627 ## -------------------- Pareto --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
628
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
629 def paretovariate(self, alpha):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
630 """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
631 # Jain, pg. 495
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
632
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
633 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
634 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
635
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
636 ## -------------------- Weibull --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
637
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
638 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
639 """Weibull distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
640
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
641 alpha is the scale parameter and beta is the shape parameter.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
642
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
643 """
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
644 # 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
645
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
646 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
647 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
648
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
649 ## -------------------- 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
650
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
651 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
652
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
653 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
654
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
655 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
656 """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
657
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
658 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
659 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
660
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
661 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
662
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
663 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
664 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
665 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
666 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
667 """
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 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
670 try:
8e23bd3d5b1a Fulfill Martin's request to use try/except rather than a "look before
Raymond Hettinger <python@rcn.com>
parents: 33399
diff changeset
671 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
672 except NotImplementedError:
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
673 import time
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
674 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
675
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 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
677 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
678
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
679 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
680 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
681 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
682 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
683
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
684 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
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 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
687 """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
688
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
689 # 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
690 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
691 # 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
692 # 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
693 # 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
694 # 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
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 # 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
697 # 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
698 # 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
699 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
700 # 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
701 # 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
702 # 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
703
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
704 # 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
705 # 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
706 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
707 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
708 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
709 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
710 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
711 # 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
712
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
713 # 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
714 # 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
715 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
716
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
717 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
718 """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
719 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
720
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
721 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
722 """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
723 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
724 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
725 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
726 else:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
727 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
728 "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
729 (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
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 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
732 """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
733
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
734 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
735
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
736 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
737 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
738 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
739 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
740 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
741 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
742 period.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
743 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
744
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
745 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
746 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
747 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
748 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
749 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
750 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
751 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
752
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
753 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
754 """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
755
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
756 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
757 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
758
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
759 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
760 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
761 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
762 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
763 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
764 # 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
765 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
766 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
767 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
768 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
769 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
770 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
771 # 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
772 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
773
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
774 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
775
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
776 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
777 """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
778
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
779 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
780 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
781 states.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
782
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
783 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
784 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
785 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
786
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
787 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
788 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
789 return
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
790 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
791 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
792 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
793 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
794 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
795 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
796 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
797 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
798
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
799 ## --------------- Operating System Random Source ------------------
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
800
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
801 class SystemRandom(Random):
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
802 """Alternate random number generator using sources provided
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
803 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
804 CryptGenRandom on Windows).
33329
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
805
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
806 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
807 """
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
808
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
809 def random(self):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
810 """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
811 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
812
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
813 def getrandbits(self, k):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
814 """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
815 if k <= 0:
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
816 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
817 if k != int(k):
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
818 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
819 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
820 x = long(_hexlify(_urandom(bytes)), 16)
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
821 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
822
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
823 def _stub(self, *args, **kwds):
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
824 "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
825 return None
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
826 seed = jumpahead = _stub
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
827
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
828 def _notimplemented(self, *args, **kwds):
33481
eacdc29606d8 SF #1027105: HardwareRandom should be renamed OSRandom
Raymond Hettinger <python@rcn.com>
parents: 33409
diff changeset
829 "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
830 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
831 getstate = setstate = _notimplemented
97fca735c8da Teach the random module about os.urandom().
Raymond Hettinger <python@rcn.com>
parents: 32287
diff changeset
832
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
833 ## -------------------- test program --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
834
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
835 def _test_generator(n, func, args):
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
836 import time
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
837 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
838 total = 0.0
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
839 sqsum = 0.0
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
840 smallest = 1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
841 largest = -1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
842 t0 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
843 for i in range(n):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
844 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
845 total += x
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
846 sqsum = sqsum + x*x
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
847 smallest = min(x, smallest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
848 largest = max(x, largest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
849 t1 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
850 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
851 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
852 stddev = _sqrt(sqsum/n - avg*avg)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
853 print 'avg %g, stddev %g, min %g, max %g' % \
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
854 (avg, stddev, smallest, largest)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
855
26155
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
856
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
857 def _test(N=2000):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
858 _test_generator(N, random, ())
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
859 _test_generator(N, normalvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
860 _test_generator(N, lognormvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
861 _test_generator(N, vonmisesvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
862 _test_generator(N, gammavariate, (0.01, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
863 _test_generator(N, gammavariate, (0.1, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
864 _test_generator(N, gammavariate, (0.1, 2.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
865 _test_generator(N, gammavariate, (0.5, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
866 _test_generator(N, gammavariate, (0.9, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
867 _test_generator(N, gammavariate, (1.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
868 _test_generator(N, gammavariate, (2.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
869 _test_generator(N, gammavariate, (20.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
870 _test_generator(N, gammavariate, (200.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
871 _test_generator(N, gauss, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
872 _test_generator(N, betavariate, (3.0, 3.0))
46029
f1e51785947f Issue 1681432: Add triangular distribution the random module.
Raymond Hettinger <python@rcn.com>
parents: 44122
diff changeset
873 _test_generator(N, triangular, (0.0, 1.0, 1.0/3.0))
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
874
16292
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
875 # 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
876 # 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
877 #(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
878 # 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
879 # 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
880
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
881 _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
882 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
883 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
884 uniform = _inst.uniform
46029
f1e51785947f Issue 1681432: Add triangular distribution the random module.
Raymond Hettinger <python@rcn.com>
parents: 44122
diff changeset
885 triangular = _inst.triangular
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
886 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
887 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
888 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
889 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
890 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
891 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
892 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
893 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
894 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
895 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
896 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
897 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
898 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
899 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
900 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
901 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
902 jumpahead = _inst.jumpahead
30649
8841d34a2c37 SF bug #812202: randint is always even
Raymond Hettinger <python@rcn.com>
parents: 30346
diff changeset
903 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
904
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
905 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
906 _test()