annotate Lib/random.py @ 25838:8540887bcec6 2.2

Backport of 2.183: Fix memory leak in add_subclass() found by NealN with valgrind.
author Guido van Rossum <guido@python.org>
date Fri, 18 Oct 2002 13:42:21 +0000
parents 276b6c452999
children 38319409e895
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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 generate random permutation
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11
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12 distributions on the real line:
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13 ------------------------------
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14 uniform
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15 normal (Gaussian)
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16 lognormal
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17 negative exponential
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18 gamma
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19 beta
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20
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21 distributions on the circle (angles 0 to 2pi)
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22 ---------------------------------------------
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23 circular uniform
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24 von Mises
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25
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26 Translated from anonymously contributed C/C++ source.
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27
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28 Multi-threading note: the random number generator used here is not thread-
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29 safe; it is possible that two calls return the same random value. However,
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30 you can instantiate a different instance of Random() in each thread to get
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31 generators that don't share state, then use .setstate() and .jumpahead() to
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32 move the generators to disjoint segments of the full period. For example,
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33
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34 def create_generators(num, delta, firstseed=None):
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35 ""\"Return list of num distinct generators.
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36 Each generator has its own unique segment of delta elements from
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37 Random.random()'s full period.
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38 Seed the first generator with optional arg firstseed (default is
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39 None, to seed from current time).
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40 ""\"
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41
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42 from random import Random
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43 g = Random(firstseed)
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44 result = [g]
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45 for i in range(num - 1):
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46 laststate = g.getstate()
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47 g = Random()
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48 g.setstate(laststate)
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49 g.jumpahead(delta)
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50 result.append(g)
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51 return result
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52
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53 gens = create_generators(10, 1000000)
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54
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55 That creates 10 distinct generators, which can be passed out to 10 distinct
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56 threads. The generators don't share state so can be called safely in
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57 parallel. So long as no thread calls its g.random() more than a million
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58 times (the second argument to create_generators), the sequences seen by
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59 each thread will not overlap.
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60
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61 The period of the underlying Wichmann-Hill generator is 6,953,607,871,644,
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62 and that limits how far this technique can be pushed.
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63
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64 Just for fun, note that since we know the period, .jumpahead() can also be
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65 used to "move backward in time":
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66
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67 >>> g = Random(42) # arbitrary
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68 >>> g.random()
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69 0.25420336316883324
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70 >>> g.jumpahead(6953607871644L - 1) # move *back* one
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71 >>> g.random()
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72 0.25420336316883324
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73 """
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74 # XXX The docstring sucks.
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75
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76 from math import log as _log, exp as _exp, pi as _pi, e as _e
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77 from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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78 from math import floor as _floor
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79
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80 __all__ = ["Random","seed","random","uniform","randint","choice",
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81 "randrange","shuffle","normalvariate","lognormvariate",
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82 "cunifvariate","expovariate","vonmisesvariate","gammavariate",
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83 "stdgamma","gauss","betavariate","paretovariate","weibullvariate",
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84 "getstate","setstate","jumpahead","whseed"]
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85
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86 def _verify(name, computed, expected):
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87 if abs(computed - expected) > 1e-7:
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88 raise ValueError(
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89 "computed value for %s deviates too much "
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90 "(computed %g, expected %g)" % (name, computed, expected))
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91
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92 NV_MAGICCONST = 4 * _exp(-0.5)/_sqrt(2.0)
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93 _verify('NV_MAGICCONST', NV_MAGICCONST, 1.71552776992141)
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94
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95 TWOPI = 2.0*_pi
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96 _verify('TWOPI', TWOPI, 6.28318530718)
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97
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98 LOG4 = _log(4.0)
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99 _verify('LOG4', LOG4, 1.38629436111989)
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100
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101 SG_MAGICCONST = 1.0 + _log(4.5)
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102 _verify('SG_MAGICCONST', SG_MAGICCONST, 2.50407739677627)
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103
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104 del _verify
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105
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106 # Translated by Guido van Rossum from C source provided by
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107 # Adrian Baddeley.
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108
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109 class Random:
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110 """Random number generator base class used by bound module functions.
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111
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112 Used to instantiate instances of Random to get generators that don't
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113 share state. Especially useful for multi-threaded programs, creating
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114 a different instance of Random for each thread, and using the jumpahead()
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115 method to ensure that the generated sequences seen by each thread don't
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116 overlap.
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117
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118 Class Random can also be subclassed if you want to use a different basic
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119 generator of your own devising: in that case, override the following
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120 methods: random(), seed(), getstate(), setstate() and jumpahead().
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121
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122 """
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123
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124 VERSION = 1 # used by getstate/setstate
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125
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126 def __init__(self, x=None):
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127 """Initialize an instance.
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128
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129 Optional argument x controls seeding, as for Random.seed().
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130 """
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131
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132 self.seed(x)
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133
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134 ## -------------------- core generator -------------------
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135
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136 # Specific to Wichmann-Hill generator. Subclasses wishing to use a
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137 # different core generator should override the seed(), random(),
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138 # getstate(), setstate() and jumpahead() methods.
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139
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140 def seed(self, a=None):
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141 """Initialize internal state from hashable object.
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142
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143 None or no argument seeds from current time.
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144
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145 If a is not None or an int or long, hash(a) is used instead.
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146
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147 If a is an int or long, a is used directly. Distinct values between
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148 0 and 27814431486575L inclusive are guaranteed to yield distinct
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149 internal states (this guarantee is specific to the default
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150 Wichmann-Hill generator).
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151 """
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152
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153 if a is None:
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154 # Initialize from current time
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155 import time
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156 a = long(time.time() * 256)
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157
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158 if type(a) not in (type(3), type(3L)):
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159 a = hash(a)
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160
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161 a, x = divmod(a, 30268)
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162 a, y = divmod(a, 30306)
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163 a, z = divmod(a, 30322)
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164 self._seed = int(x)+1, int(y)+1, int(z)+1
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165
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166 self.gauss_next = None
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167
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168 def random(self):
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169 """Get the next random number in the range [0.0, 1.0)."""
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170
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171 # Wichman-Hill random number generator.
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172 #
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173 # Wichmann, B. A. & Hill, I. D. (1982)
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174 # Algorithm AS 183:
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175 # An efficient and portable pseudo-random number generator
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176 # Applied Statistics 31 (1982) 188-190
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177 #
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178 # see also:
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179 # Correction to Algorithm AS 183
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180 # Applied Statistics 33 (1984) 123
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181 #
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182 # McLeod, A. I. (1985)
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183 # A remark on Algorithm AS 183
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184 # Applied Statistics 34 (1985),198-200
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185
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186 # This part is thread-unsafe:
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187 # BEGIN CRITICAL SECTION
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188 x, y, z = self._seed
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189 x = (171 * x) % 30269
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190 y = (172 * y) % 30307
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191 z = (170 * z) % 30323
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192 self._seed = x, y, z
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193 # END CRITICAL SECTION
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194
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195 # Note: on a platform using IEEE-754 double arithmetic, this can
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196 # never return 0.0 (asserted by Tim; proof too long for a comment).
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197 return (x/30269.0 + y/30307.0 + z/30323.0) % 1.0
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198
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199 def getstate(self):
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200 """Return internal state; can be passed to setstate() later."""
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201 return self.VERSION, self._seed, self.gauss_next
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202
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203 def setstate(self, state):
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204 """Restore internal state from object returned by getstate()."""
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205 version = state[0]
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206 if version == 1:
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207 version, self._seed, self.gauss_next = state
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208 else:
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209 raise ValueError("state with version %s passed to "
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210 "Random.setstate() of version %s" %
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211 (version, self.VERSION))
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212
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213 def jumpahead(self, n):
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214 """Act as if n calls to random() were made, but quickly.
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215
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216 n is an int, greater than or equal to 0.
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217
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218 Example use: If you have 2 threads and know that each will
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219 consume no more than a million random numbers, create two Random
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220 objects r1 and r2, then do
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221 r2.setstate(r1.getstate())
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222 r2.jumpahead(1000000)
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223 Then r1 and r2 will use guaranteed-disjoint segments of the full
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224 period.
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225 """
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226
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227 if not n >= 0:
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228 raise ValueError("n must be >= 0")
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229 x, y, z = self._seed
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230 x = int(x * pow(171, n, 30269)) % 30269
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231 y = int(y * pow(172, n, 30307)) % 30307
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232 z = int(z * pow(170, n, 30323)) % 30323
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233 self._seed = x, y, z
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234
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235 def __whseed(self, x=0, y=0, z=0):
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236 """Set the Wichmann-Hill seed from (x, y, z).
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237
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238 These must be integers in the range [0, 256).
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239 """
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240
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241 if not type(x) == type(y) == type(z) == type(0):
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242 raise TypeError('seeds must be integers')
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243 if not (0 <= x < 256 and 0 <= y < 256 and 0 <= z < 256):
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244 raise ValueError('seeds must be in range(0, 256)')
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245 if 0 == x == y == z:
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246 # Initialize from current time
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247 import time
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248 t = long(time.time() * 256)
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249 t = int((t&0xffffff) ^ (t>>24))
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250 t, x = divmod(t, 256)
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251 t, y = divmod(t, 256)
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252 t, z = divmod(t, 256)
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253 # Zero is a poor seed, so substitute 1
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254 self._seed = (x or 1, y or 1, z or 1)
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255
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256 self.gauss_next = None
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257
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258 def whseed(self, a=None):
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259 """Seed from hashable object's hash code.
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260
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261 None or no argument seeds from current time. It is not guaranteed
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262 that objects with distinct hash codes lead to distinct internal
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263 states.
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264
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265 This is obsolete, provided for compatibility with the seed routine
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266 used prior to Python 2.1. Use the .seed() method instead.
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267 """
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268
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269 if a is None:
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270 self.__whseed()
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271 return
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272 a = hash(a)
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273 a, x = divmod(a, 256)
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274 a, y = divmod(a, 256)
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275 a, z = divmod(a, 256)
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276 x = (x + a) % 256 or 1
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277 y = (y + a) % 256 or 1
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278 z = (z + a) % 256 or 1
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279 self.__whseed(x, y, z)
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280
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281 ## ---- Methods below this point do not need to be overridden when
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282 ## ---- subclassing for the purpose of using a different core generator.
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283
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284 ## -------------------- pickle support -------------------
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285
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286 def __getstate__(self): # for pickle
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287 return self.getstate()
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288
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289 def __setstate__(self, state): # for pickle
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290 self.setstate(state)
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291
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292 ## -------------------- integer methods -------------------
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293
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294 def randrange(self, start, stop=None, step=1, int=int, default=None):
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295 """Choose a random item from range(start, stop[, step]).
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296
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297 This fixes the problem with randint() which includes the
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298 endpoint; in Python this is usually not what you want.
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299 Do not supply the 'int' and 'default' arguments.
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300 """
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301
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302 # This code is a bit messy to make it fast for the
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303 # common case while still doing adequate error checking.
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304 istart = int(start)
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305 if istart != start:
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306 raise ValueError, "non-integer arg 1 for randrange()"
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307 if stop is default:
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308 if istart > 0:
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309 return int(self.random() * istart)
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310 raise ValueError, "empty range for randrange()"
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311
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312 # stop argument supplied.
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313 istop = int(stop)
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314 if istop != stop:
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315 raise ValueError, "non-integer stop for randrange()"
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316 if step == 1 and istart < istop:
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317 try:
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318 return istart + int(self.random()*(istop - istart))
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319 except OverflowError:
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320 # This can happen if istop-istart > sys.maxint + 1, and
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321 # multiplying by random() doesn't reduce it to something
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322 # <= sys.maxint. We know that the overall result fits
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323 # in an int, and can still do it correctly via math.floor().
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324 # But that adds another function call, so for speed we
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325 # avoided that whenever possible.
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326 return int(istart + _floor(self.random()*(istop - istart)))
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327 if step == 1:
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328 raise ValueError, "empty range for randrange()"
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329
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330 # Non-unit step argument supplied.
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331 istep = int(step)
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332 if istep != step:
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333 raise ValueError, "non-integer step for randrange()"
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334 if istep > 0:
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335 n = (istop - istart + istep - 1) / istep
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336 elif istep < 0:
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337 n = (istop - istart + istep + 1) / istep
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338 else:
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339 raise ValueError, "zero step for randrange()"
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340
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341 if n <= 0:
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342 raise ValueError, "empty range for randrange()"
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343 return istart + istep*int(self.random() * n)
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344
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345 def randint(self, a, b):
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346 """Return random integer in range [a, b], including both end points.
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347 """
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348
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349 return self.randrange(a, b+1)
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350
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351 ## -------------------- sequence methods -------------------
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352
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353 def choice(self, seq):
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354 """Choose a random element from a non-empty sequence."""
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355 return seq[int(self.random() * len(seq))]
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356
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357 def shuffle(self, x, random=None, int=int):
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358 """x, random=random.random -> shuffle list x in place; return None.
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359
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360 Optional arg random is a 0-argument function returning a random
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361 float in [0.0, 1.0); by default, the standard random.random.
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362
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363 Note that for even rather small len(x), the total number of
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364 permutations of x is larger than the period of most random number
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365 generators; this implies that "most" permutations of a long
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366 sequence can never be generated.
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367 """
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368
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369 if random is None:
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370 random = self.random
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371 for i in xrange(len(x)-1, 0, -1):
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372 # pick an element in x[:i+1] with which to exchange x[i]
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373 j = int(random() * (i+1))
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374 x[i], x[j] = x[j], x[i]
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375
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376 ## -------------------- real-valued distributions -------------------
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377
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378 ## -------------------- uniform distribution -------------------
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379
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380 def uniform(self, a, b):
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381 """Get a random number in the range [a, b)."""
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382 return a + (b-a) * self.random()
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383
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384 ## -------------------- normal distribution --------------------
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385
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386 def normalvariate(self, mu, sigma):
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387 """Normal distribution.
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388
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389 mu is the mean, and sigma is the standard deviation.
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390
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391 """
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392 # mu = mean, sigma = standard deviation
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393
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394 # Uses Kinderman and Monahan method. Reference: Kinderman,
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395 # A.J. and Monahan, J.F., "Computer generation of random
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396 # variables using the ratio of uniform deviates", ACM Trans
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397 # Math Software, 3, (1977), pp257-260.
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398
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399 random = self.random
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400 while 1:
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401 u1 = random()
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402 u2 = random()
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403 z = NV_MAGICCONST*(u1-0.5)/u2
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404 zz = z*z/4.0
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405 if zz <= -_log(u2):
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406 break
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407 return mu + z*sigma
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408
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409 ## -------------------- lognormal distribution --------------------
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410
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411 def lognormvariate(self, mu, sigma):
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412 """Log normal distribution.
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413
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414 If you take the natural logarithm of this distribution, you'll get a
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415 normal distribution with mean mu and standard deviation sigma.
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416 mu can have any value, and sigma must be greater than zero.
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417
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418 """
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419 return _exp(self.normalvariate(mu, sigma))
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420
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421 ## -------------------- circular uniform --------------------
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422
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423 def cunifvariate(self, mean, arc):
25581
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424 """Circular uniform distribution.
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425
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426 mean is the mean angle, and arc is the range of the distribution,
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427 centered around the mean angle. Both values must be expressed in
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428 radians. Returned values range between mean - arc/2 and
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429 mean + arc/2 and are normalized to between 0 and pi.
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430
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431 Deprecated in version 2.3. Use:
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432 (mean + arc * (Random.random() - 0.5)) % Math.pi
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433
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434 """
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435 # mean: mean angle (in radians between 0 and pi)
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436 # arc: range of distribution (in radians between 0 and pi)
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437
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438 return (mean + arc * (self.random() - 0.5)) % _pi
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439
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440 ## -------------------- exponential distribution --------------------
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441
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442 def expovariate(self, lambd):
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443 """Exponential distribution.
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444
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445 lambd is 1.0 divided by the desired mean. (The parameter would be
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446 called "lambda", but that is a reserved word in Python.) Returned
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447 values range from 0 to positive infinity.
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448
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449 """
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450 # lambd: rate lambd = 1/mean
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451 # ('lambda' is a Python reserved word)
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452
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453 random = self.random
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454 u = random()
16242
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455 while u <= 1e-7:
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456 u = random()
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457 return -_log(u)/lambd
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458
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459 ## -------------------- von Mises distribution --------------------
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460
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461 def vonmisesvariate(self, mu, kappa):
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462 """Circular data distribution.
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463
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464 mu is the mean angle, expressed in radians between 0 and 2*pi, and
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465 kappa is the concentration parameter, which must be greater than or
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466 equal to zero. If kappa is equal to zero, this distribution reduces
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467 to a uniform random angle over the range 0 to 2*pi.
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468
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469 """
16242
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470 # mu: mean angle (in radians between 0 and 2*pi)
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471 # kappa: concentration parameter kappa (>= 0)
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472 # if kappa = 0 generate uniform random angle
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473
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474 # Based upon an algorithm published in: Fisher, N.I.,
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475 # "Statistical Analysis of Circular Data", Cambridge
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476 # University Press, 1993.
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477
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478 # Thanks to Magnus Kessler for a correction to the
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479 # implementation of step 4.
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480
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481 random = self.random
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482 if kappa <= 1e-6:
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483 return TWOPI * random()
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484
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485 a = 1.0 + _sqrt(1.0 + 4.0 * kappa * kappa)
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486 b = (a - _sqrt(2.0 * a))/(2.0 * kappa)
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487 r = (1.0 + b * b)/(2.0 * b)
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488
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489 while 1:
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490 u1 = random()
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491
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492 z = _cos(_pi * u1)
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diff changeset
493 f = (1.0 + r * z)/(r + z)
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494 c = kappa * (r - f)
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495
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496 u2 = random()
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497
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498 if not (u2 >= c * (2.0 - c) and u2 > c * _exp(1.0 - c)):
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diff changeset
499 break
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500
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501 u3 = random()
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502 if u3 > 0.5:
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503 theta = (mu % TWOPI) + _acos(f)
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parents: 15871
diff changeset
504 else:
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505 theta = (mu % TWOPI) - _acos(f)
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parents:
diff changeset
506
16242
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diff changeset
507 return theta
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508
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diff changeset
509 ## -------------------- gamma distribution --------------------
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510
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diff changeset
511 def gammavariate(self, alpha, beta):
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diff changeset
512 """Gamma distribution. Not the gamma function!
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diff changeset
513
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diff changeset
514 Conditions on the parameters are alpha > 0 and beta > 0.
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diff changeset
515
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diff changeset
516 """
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517
23448
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518 # alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
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519
23450
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520 # Warning: a few older sources define the gamma distribution in terms
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diff changeset
521 # of alpha > -1.0
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522 if alpha <= 0.0 or beta <= 0.0:
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523 raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
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453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
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parents: 23443
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524
16242
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diff changeset
525 random = self.random
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
526 if alpha > 1.0:
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
527
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
528 # Uses R.C.H. Cheng, "The generation of Gamma
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
529 # variables with non-integral shape parameters",
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
530 # Applied Statistics, (1977), 26, No. 1, p71-74
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
531
23443
03dfe7d343db Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23136
diff changeset
532 ainv = _sqrt(2.0 * alpha - 1.0)
03dfe7d343db Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23136
diff changeset
533 bbb = alpha - LOG4
03dfe7d343db Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23136
diff changeset
534 ccc = alpha + ainv
25358
0fbb76b5074b Whitespace normalization and backport:
Raymond Hettinger <python@rcn.com>
parents: 23450
diff changeset
535
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
536 while 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
537 u1 = 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
538 u2 = random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
539 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
540 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
541 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
542 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
543 if r + SG_MAGICCONST - 4.5*z >= 0.0 or r >= _log(z):
23448
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
544 return x * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
545
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 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
547 # expovariate(1)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
548 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
549 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
550 u = random()
23448
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
551 return -_log(u) * beta
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
552
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 else: # alpha is between 0 and 1 (exclusive)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
554
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
555 # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
556
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
557 while 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
558 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
559 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
560 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
561 if p <= 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
562 x = pow(p, 1.0/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
563 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
564 # p > 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
565 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
566 u1 = 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
567 if not (((p <= 1.0) and (u1 > _exp(-x))) or
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 ((p > 1) and (u1 > pow(x, 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
569 break
23448
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
570 return x * beta
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
571
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
572
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
573 def stdgamma(self, alpha, ainv, bbb, ccc):
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
574 # This method was (and shall remain) undocumented.
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
575 # This method is deprecated
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
576 # for the following reasons:
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
577 # 1. Returns same as .gammavariate(alpha, 1.0)
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
578 # 2. Requires caller to provide 3 extra arguments
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
579 # that are functions of alpha anyway
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
580 # 3. Can't be used for alpha < 0.5
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
581
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
582 # ainv = sqrt(2 * alpha - 1)
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
583 # bbb = alpha - log(4)
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
584 # ccc = alpha + ainv
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
585 import warnings
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
586 warnings.warn("The stdgamma function is deprecated; "
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
587 "use gammavariate() instead",
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
588 DeprecationWarning)
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
589 return self.gammavariate(alpha, 1.0)
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
590
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
591
1576
695fb494a3a2 Added gauss() (same as normal but twice as fast) and betavariate();
Guido van Rossum <guido@python.org>
parents: 1575
diff changeset
592
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
593 ## -------------------- 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
594
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
595 def gauss(self, mu, sigma):
25581
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
596 """Gaussian distribution.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
597
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
598 mu is the mean, and sigma is the standard deviation. This is
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
599 slightly faster than the normalvariate() function.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
600
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
601 Not thread-safe without a lock around calls.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
602
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
603 """
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
604
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
605 # 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
606 # 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
607 #
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
608 # 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
609 # 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
610 #
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 # 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
612 # (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
613 # (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
614 # (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
615
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
616 # 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
617 # 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
618 # 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
619 # 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
620 # 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
621 # lock here.)
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
622
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
623 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
624 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
625 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
626 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
627 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
628 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
629 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
630 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
631
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
632 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
633
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
634 ## -------------------- beta --------------------
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
635 ## See
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
636 ## http://sourceforge.net/bugs/?func=detailbug&bug_id=130030&group_id=5470
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
637 ## 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
638 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
639 ## def betavariate(self, alpha, beta):
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
640 ## # 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
641 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
642 ## y = self.expovariate(alpha)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
643 ## 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
644 ## return z/(y+z)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
645 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
646 ## 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
647
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
648 def betavariate(self, alpha, beta):
25581
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
649 """Beta distribution.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
650
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
651 Conditions on the parameters are alpha > -1 and beta} > -1.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
652 Returned values range between 0 and 1.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
653
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
654 """
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
655
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
656 # 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
657 # 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
658 y = self.gammavariate(alpha, 1.)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
659 if y == 0:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
660 return 0.0
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
661 else:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
662 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
663
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
664 ## -------------------- Pareto --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
665
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
666 def paretovariate(self, alpha):
25581
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
667 """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
668 # Jain, pg. 495
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
669
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
670 u = 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
671 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
672
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
673 ## -------------------- Weibull --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
674
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
675 def weibullvariate(self, alpha, beta):
25581
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
676 """Weibull distribution.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
677
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
678 alpha is the scale parameter and beta is the shape parameter.
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
679
276b6c452999 Backport 1.33 (omitting the deprecation warning but keeping the deprecation
Raymond Hettinger <python@rcn.com>
parents: 25359
diff changeset
680 """
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
681 # 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
682
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
683 u = 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
684 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
685
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
686 ## -------------------- test program --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
687
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
688 def _test_generator(n, funccall):
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
689 import time
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
690 print n, 'times', funccall
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
691 code = compile(funccall, funccall, 'eval')
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
692 sum = 0.0
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
693 sqsum = 0.0
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
694 smallest = 1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
695 largest = -1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
696 t0 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
697 for i in range(n):
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
698 x = eval(code)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
699 sum = sum + x
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
700 sqsum = sqsum + x*x
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
701 smallest = min(x, smallest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
702 largest = max(x, largest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
703 t1 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
704 print round(t1-t0, 3), 'sec,',
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
705 avg = sum/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
706 stddev = _sqrt(sqsum/n - avg*avg)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
707 print 'avg %g, stddev %g, min %g, max %g' % \
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
708 (avg, stddev, smallest, largest)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
709
23448
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
710 def _test(N=20000):
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
711 print 'TWOPI =', 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
712 print 'LOG4 =', LOG4
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
713 print 'NV_MAGICCONST =', NV_MAGICCONST
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
714 print 'SG_MAGICCONST =', SG_MAGICCONST
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
715 _test_generator(N, '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
716 _test_generator(N, 'normalvariate(0.0, 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
717 _test_generator(N, 'lognormvariate(0.0, 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
718 _test_generator(N, 'cunifvariate(0.0, 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
719 _test_generator(N, 'expovariate(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
720 _test_generator(N, 'vonmisesvariate(0.0, 1.0)')
23448
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
721 _test_generator(N, 'gammavariate(0.01, 1.0)')
453e59a472b2 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23443
diff changeset
722 _test_generator(N, 'gammavariate(0.1, 1.0)')
25358
0fbb76b5074b Whitespace normalization and backport:
Raymond Hettinger <python@rcn.com>
parents: 23450
diff changeset
723 _test_generator(N, 'gammavariate(0.1, 2.0)')
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
724 _test_generator(N, 'gammavariate(0.5, 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
725 _test_generator(N, 'gammavariate(0.9, 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
726 _test_generator(N, 'gammavariate(1.0, 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
727 _test_generator(N, 'gammavariate(2.0, 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
728 _test_generator(N, 'gammavariate(20.0, 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
729 _test_generator(N, 'gammavariate(200.0, 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
730 _test_generator(N, 'gauss(0.0, 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
731 _test_generator(N, 'betavariate(3.0, 3.0)')
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
732 _test_generator(N, 'paretovariate(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
733 _test_generator(N, 'weibullvariate(1.0, 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
734
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
735 # Test jumpahead.
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
736 s = getstate()
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
737 jumpahead(N)
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
738 r1 = random()
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
739 # now do it the slow way
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
740 setstate(s)
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
741 for i in range(N):
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
742 random()
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
743 r2 = random()
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
744 if r1 != r2:
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
745 raise ValueError("jumpahead test failed " + `(N, r1, r2)`)
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
746
16292
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
747 # Create one instance, seeded from current time, and export its methods
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
748 # as module-level functions. The functions are not threadsafe, and state
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
749 # is shared across all uses (both in the user's code and in the Python
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
750 # libraries), but that's fine for most programs and is easier for the
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
751 # casual user than making them instantiate their own Random() instance.
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
752 _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
753 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
754 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
755 uniform = _inst.uniform
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
756 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
757 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
758 randrange = _inst.randrange
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
759 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
760 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
761 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
762 cunifvariate = _inst.cunifvariate
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
763 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
764 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
765 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
766 stdgamma = _inst.stdgamma
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
767 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
768 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
769 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
770 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
771 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
772 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
773 jumpahead = _inst.jumpahead
16379
5f0683a69efc Change random.seed() so that it can get at the full range of possible
Tim Peters <tim.peters@gmail.com>
parents: 16292
diff changeset
774 whseed = _inst.whseed
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
775
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
776 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
777 _test()