annotate Lib/random.py @ 32527:0da660e05e69 legacy-trunk

"#if WITH_THREAD" is incorrect; must be #ifdef instead; WITH_THREAD isn't always set to an integer value when it's defined.
author Tim Peters <tim.peters@gmail.com>
date Wed, 07 Jul 2004 20:42:07 +0000
parents 854a2417d35e
children 97fca735c8da
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1 """Random variable generators.
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2
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3 integers
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4 --------
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5 uniform within range
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6
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7 sequences
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8 ---------
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9 pick random element
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10 pick random sample
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11 generate random permutation
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12
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13 distributions on the real line:
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14 ------------------------------
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15 uniform
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16 normal (Gaussian)
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17 lognormal
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18 negative exponential
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19 gamma
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20 beta
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21 pareto
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22 Weibull
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23
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24 distributions on the circle (angles 0 to 2pi)
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25 ---------------------------------------------
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26 circular uniform
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27 von Mises
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28
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29 General notes on the underlying Mersenne Twister core generator:
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30
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31 * The period is 2**19937-1.
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32 * It is one of the most extensively tested generators in existence
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33 * Without a direct way to compute N steps forward, the
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34 semantics of jumpahead(n) are weakened to simply jump
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35 to another distant state and rely on the large period
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36 to avoid overlapping sequences.
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37 * The random() method is implemented in C, executes in
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38 a single Python step, and is, therefore, threadsafe.
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39
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40 """
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41
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42 from warnings import warn as _warn
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43 from types import MethodType as _MethodType, BuiltinMethodType as _BuiltinMethodType
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44 from math import log as _log, exp as _exp, pi as _pi, e as _e
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45 from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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46 from math import floor as _floor
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47
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48 __all__ = ["Random","seed","random","uniform","randint","choice","sample",
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49 "randrange","shuffle","normalvariate","lognormvariate",
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50 "expovariate","vonmisesvariate","gammavariate",
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51 "gauss","betavariate","paretovariate","weibullvariate",
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52 "getstate","setstate","jumpahead", "WichmannHill", "getrandbits"]
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53
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54 NV_MAGICCONST = 4 * _exp(-0.5)/_sqrt(2.0)
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55 TWOPI = 2.0*_pi
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56 LOG4 = _log(4.0)
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57 SG_MAGICCONST = 1.0 + _log(4.5)
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58 BPF = 53 # Number of bits in a float
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59
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60 # Translated by Guido van Rossum from C source provided by
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61 # Adrian Baddeley. Adapted by Raymond Hettinger for use with
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62 # the Mersenne Twister core generator.
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63
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64 import _random
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65
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66 class Random(_random.Random):
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67 """Random number generator base class used by bound module functions.
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68
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69 Used to instantiate instances of Random to get generators that don't
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70 share state. Especially useful for multi-threaded programs, creating
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71 a different instance of Random for each thread, and using the jumpahead()
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72 method to ensure that the generated sequences seen by each thread don't
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73 overlap.
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74
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75 Class Random can also be subclassed if you want to use a different basic
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76 generator of your own devising: in that case, override the following
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77 methods: random(), seed(), getstate(), setstate() and jumpahead().
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78 Optionally, implement a getrandombits() method so that randrange()
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79 can cover arbitrarily large ranges.
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80
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81 """
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82
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83 VERSION = 2 # used by getstate/setstate
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84
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85 def __init__(self, x=None):
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86 """Initialize an instance.
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87
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88 Optional argument x controls seeding, as for Random.seed().
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89 """
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90
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91 self.seed(x)
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92 self.gauss_next = None
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93
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94 def seed(self, a=None):
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95 """Initialize internal state from hashable object.
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96
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97 None or no argument seeds from current time.
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98
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99 If a is not None or an int or long, hash(a) is used instead.
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100 """
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101
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102 if a is None:
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103 import time
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104 a = long(time.time() * 256) # use fractional seconds
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105 super(Random, self).seed(a)
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106 self.gauss_next = None
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107
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108 def getstate(self):
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109 """Return internal state; can be passed to setstate() later."""
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110 return self.VERSION, super(Random, self).getstate(), self.gauss_next
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111
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112 def setstate(self, state):
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113 """Restore internal state from object returned by getstate()."""
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114 version = state[0]
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115 if version == 2:
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116 version, internalstate, self.gauss_next = state
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117 super(Random, self).setstate(internalstate)
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118 else:
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119 raise ValueError("state with version %s passed to "
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120 "Random.setstate() of version %s" %
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121 (version, self.VERSION))
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122
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123 ## ---- Methods below this point do not need to be overridden when
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124 ## ---- subclassing for the purpose of using a different core generator.
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125
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126 ## -------------------- pickle support -------------------
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127
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128 def __getstate__(self): # for pickle
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129 return self.getstate()
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130
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131 def __setstate__(self, state): # for pickle
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132 self.setstate(state)
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133
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134 def __reduce__(self):
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135 return self.__class__, (), self.getstate()
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136
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137 ## -------------------- integer methods -------------------
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138
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139 def randrange(self, start, stop=None, step=1, int=int, default=None,
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140 maxwidth=1L<<BPF):
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141 """Choose a random item from range(start, stop[, step]).
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142
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143 This fixes the problem with randint() which includes the
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144 endpoint; in Python this is usually not what you want.
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145 Do not supply the 'int', 'default', and 'maxwidth' arguments.
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146 """
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147
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148 # This code is a bit messy to make it fast for the
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149 # common case while still doing adequate error checking.
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150 istart = int(start)
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151 if istart != start:
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152 raise ValueError, "non-integer arg 1 for randrange()"
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153 if stop is default:
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154 if istart > 0:
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155 if istart >= maxwidth:
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156 return self._randbelow(istart)
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157 return int(self.random() * istart)
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158 raise ValueError, "empty range for randrange()"
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159
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160 # stop argument supplied.
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161 istop = int(stop)
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162 if istop != stop:
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163 raise ValueError, "non-integer stop for randrange()"
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164 width = istop - istart
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165 if step == 1 and width > 0:
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166 # Note that
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167 # int(istart + self.random()*width)
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168 # instead would be incorrect. For example, consider istart
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169 # = -2 and istop = 0. Then the guts would be in
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170 # -2.0 to 0.0 exclusive on both ends (ignoring that random()
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171 # might return 0.0), and because int() truncates toward 0, the
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172 # final result would be -1 or 0 (instead of -2 or -1).
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173 # istart + int(self.random()*width)
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174 # would also be incorrect, for a subtler reason: the RHS
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175 # can return a long, and then randrange() would also return
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176 # a long, but we're supposed to return an int (for backward
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177 # compatibility).
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178
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179 if width >= maxwidth:
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180 return int(istart + self._randbelow(width))
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181 return int(istart + int(self.random()*width))
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182 if step == 1:
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183 raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
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184
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185 # Non-unit step argument supplied.
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186 istep = int(step)
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187 if istep != step:
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188 raise ValueError, "non-integer step for randrange()"
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189 if istep > 0:
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190 n = (width + istep - 1) / istep
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191 elif istep < 0:
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192 n = (width + istep + 1) / istep
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193 else:
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194 raise ValueError, "zero step for randrange()"
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195
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196 if n <= 0:
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197 raise ValueError, "empty range for randrange()"
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198
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199 if n >= maxwidth:
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200 return istart + self._randbelow(n)
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201 return istart + istep*int(self.random() * n)
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202
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203 def randint(self, a, b):
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204 """Return random integer in range [a, b], including both end points.
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205 """
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206
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207 return self.randrange(a, b+1)
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208
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209 def _randbelow(self, n, _log=_log, int=int, _maxwidth=1L<<BPF,
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210 _Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
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211 """Return a random int in the range [0,n)
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212
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213 Handles the case where n has more bits than returned
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214 by a single call to the underlying generator.
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215 """
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216
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217 try:
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218 getrandbits = self.getrandbits
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219 except AttributeError:
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220 pass
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221 else:
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222 # Only call self.getrandbits if the original random() builtin method
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223 # has not been overridden or if a new getrandbits() was supplied.
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224 # This assures that the two methods correspond.
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225 if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
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226 k = int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
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227 r = getrandbits(k)
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228 while r >= n:
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229 r = getrandbits(k)
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230 return r
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231 if n >= _maxwidth:
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232 _warn("Underlying random() generator does not supply \n"
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233 "enough bits to choose from a population range this large")
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234 return int(self.random() * n)
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235
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236 ## -------------------- sequence methods -------------------
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237
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238 def choice(self, seq):
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239 """Choose a random element from a non-empty sequence."""
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240 return seq[int(self.random() * len(seq))] # raises IndexError if seq is empty
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241
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242 def shuffle(self, x, random=None, int=int):
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243 """x, random=random.random -> shuffle list x in place; return None.
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244
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245 Optional arg random is a 0-argument function returning a random
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246 float in [0.0, 1.0); by default, the standard random.random.
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247
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248 Note that for even rather small len(x), the total number of
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249 permutations of x is larger than the period of most random number
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250 generators; this implies that "most" permutations of a long
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251 sequence can never be generated.
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252 """
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253
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254 if random is None:
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255 random = self.random
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256 for i in reversed(xrange(1, len(x))):
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257 # pick an element in x[:i+1] with which to exchange x[i]
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258 j = int(random() * (i+1))
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259 x[i], x[j] = x[j], x[i]
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260
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261 def sample(self, population, k):
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262 """Chooses k unique random elements from a population sequence.
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263
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264 Returns a new list containing elements from the population while
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265 leaving the original population unchanged. The resulting list is
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266 in selection order so that all sub-slices will also be valid random
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267 samples. This allows raffle winners (the sample) to be partitioned
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268 into grand prize and second place winners (the subslices).
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269
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270 Members of the population need not be hashable or unique. If the
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271 population contains repeats, then each occurrence is a possible
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272 selection in the sample.
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273
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274 To choose a sample in a range of integers, use xrange as an argument.
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275 This is especially fast and space efficient for sampling from a
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276 large population: sample(xrange(10000000), 60)
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277 """
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278
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279 # Sampling without replacement entails tracking either potential
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280 # selections (the pool) in a list or previous selections in a
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281 # dictionary.
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282
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283 # When the number of selections is small compared to the
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284 # population, then tracking selections is efficient, requiring
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285 # only a small dictionary and an occasional reselection. For
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286 # a larger number of selections, the pool tracking method is
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287 # preferred since the list takes less space than the
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288 # dictionary and it doesn't suffer from frequent reselections.
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289
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290 n = len(population)
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291 if not 0 <= k <= n:
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292 raise ValueError, "sample larger than population"
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293 random = self.random
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294 _int = int
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295 result = [None] * k
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296 if n < 6 * k: # if n len list takes less space than a k len dict
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297 pool = list(population)
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298 for i in xrange(k): # invariant: non-selected at [0,n-i)
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299 j = _int(random() * (n-i))
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300 result[i] = pool[j]
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301 pool[j] = pool[n-i-1] # move non-selected item into vacancy
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302 else:
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303 try:
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304 n > 0 and (population[0], population[n//2], population[n-1])
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305 except (TypeError, KeyError): # handle sets and dictionaries
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306 population = tuple(population)
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307 selected = {}
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308 for i in xrange(k):
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309 j = _int(random() * n)
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310 while j in selected:
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311 j = _int(random() * n)
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312 result[i] = selected[j] = population[j]
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313 return result
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314
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315 ## -------------------- real-valued distributions -------------------
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316
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317 ## -------------------- uniform distribution -------------------
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318
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319 def uniform(self, a, b):
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320 """Get a random number in the range [a, b)."""
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321 return a + (b-a) * self.random()
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322
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323 ## -------------------- normal distribution --------------------
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324
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325 def normalvariate(self, mu, sigma):
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326 """Normal distribution.
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327
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328 mu is the mean, and sigma is the standard deviation.
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329
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330 """
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331 # mu = mean, sigma = standard deviation
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332
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333 # Uses Kinderman and Monahan method. Reference: Kinderman,
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334 # A.J. and Monahan, J.F., "Computer generation of random
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335 # variables using the ratio of uniform deviates", ACM Trans
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336 # Math Software, 3, (1977), pp257-260.
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337
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338 random = self.random
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339 while True:
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340 u1 = random()
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341 u2 = 1.0 - random()
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342 z = NV_MAGICCONST*(u1-0.5)/u2
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343 zz = z*z/4.0
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344 if zz <= -_log(u2):
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345 break
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346 return mu + z*sigma
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347
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348 ## -------------------- lognormal distribution --------------------
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349
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350 def lognormvariate(self, mu, sigma):
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351 """Log normal distribution.
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352
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353 If you take the natural logarithm of this distribution, you'll get a
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354 normal distribution with mean mu and standard deviation sigma.
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355 mu can have any value, and sigma must be greater than zero.
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356
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357 """
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358 return _exp(self.normalvariate(mu, sigma))
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359
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360 ## -------------------- exponential distribution --------------------
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361
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362 def expovariate(self, lambd):
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363 """Exponential distribution.
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364
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365 lambd is 1.0 divided by the desired mean. (The parameter would be
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366 called "lambda", but that is a reserved word in Python.) Returned
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367 values range from 0 to positive infinity.
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368
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369 """
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370 # lambd: rate lambd = 1/mean
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371 # ('lambda' is a Python reserved word)
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372
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373 random = self.random
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374 u = random()
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375 while u <= 1e-7:
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376 u = random()
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377 return -_log(u)/lambd
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378
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379 ## -------------------- von Mises distribution --------------------
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380
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381 def vonmisesvariate(self, mu, kappa):
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382 """Circular data distribution.
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383
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384 mu is the mean angle, expressed in radians between 0 and 2*pi, and
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385 kappa is the concentration parameter, which must be greater than or
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386 equal to zero. If kappa is equal to zero, this distribution reduces
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387 to a uniform random angle over the range 0 to 2*pi.
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388
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389 """
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390 # mu: mean angle (in radians between 0 and 2*pi)
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391 # kappa: concentration parameter kappa (>= 0)
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392 # if kappa = 0 generate uniform random angle
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parents:
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393
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394 # Based upon an algorithm published in: Fisher, N.I.,
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395 # "Statistical Analysis of Circular Data", Cambridge
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396 # University Press, 1993.
7881
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397
16242
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398 # Thanks to Magnus Kessler for a correction to the
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parents: 15871
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399 # implementation of step 4.
7881
6370f1593c72 Correction to vonmisesvariate() by Magnus Kessler: it should take and
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diff changeset
400
16242
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401 random = self.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
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402 if kappa <= 1e-6:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
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403 return TWOPI * random()
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Guido van Rossum <guido@python.org>
parents: 7412
diff changeset
404
16242
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parents: 15871
diff changeset
405 a = 1.0 + _sqrt(1.0 + 4.0 * kappa * kappa)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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406 b = (a - _sqrt(2.0 * a))/(2.0 * kappa)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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407 r = (1.0 + b * b)/(2.0 * b)
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parents:
diff changeset
408
26266
42279f7d244d Improve comments. Clarify docs.
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409 while True:
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
410 u1 = random()
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45728bfecb76 Random variable generators
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parents:
diff changeset
411
16242
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412 z = _cos(_pi * u1)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
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413 f = (1.0 + r * z)/(r + z)
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parents: 15871
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414 c = kappa * (r - f)
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Guido van Rossum <guido@python.org>
parents:
diff changeset
415
16242
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416 u2 = random()
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Guido van Rossum <guido@python.org>
parents:
diff changeset
417
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
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418 if not (u2 >= c * (2.0 - c) and u2 > c * _exp(1.0 - c)):
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
419 break
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parents:
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420
16242
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parents: 15871
diff changeset
421 u3 = random()
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
422 if u3 > 0.5:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
423 theta = (mu % TWOPI) + _acos(f)
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
424 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
425 theta = (mu % TWOPI) - _acos(f)
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Guido van Rossum <guido@python.org>
parents:
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426
16242
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parents: 15871
diff changeset
427 return theta
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45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
428
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
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parents: 16243
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429 ## -------------------- gamma distribution --------------------
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parents:
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430
16242
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431 def gammavariate(self, alpha, beta):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
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parents: 23521
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432 """Gamma distribution. Not the gamma function!
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433
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
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parents: 23521
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434 Conditions on the parameters are alpha > 0 and beta > 0.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
435
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
436 """
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
437
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
438 # alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
23521
a90faa5f9417 Whitespace normalization.
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parents: 23451
diff changeset
439
23451
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
440 # Warning: a few older sources define the gamma distribution in terms
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
441 # of alpha > -1.0
273dd2508c57 Use spaces, not tabs for indents.
Guido van Rossum <guido@python.org>
parents: 23447
diff changeset
442 if alpha <= 0.0 or beta <= 0.0:
273dd2508c57 Use spaces, not tabs for indents.
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parents: 23447
diff changeset
443 raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
444
16242
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445 random = self.random
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
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446 if alpha > 1.0:
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45728bfecb76 Random variable generators
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parents:
diff changeset
447
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
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448 # 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
449 # variables with non-integral shape parameters",
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
450 # Applied Statistics, (1977), 26, No. 1, p71-74
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parents:
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451
23442
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
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parents: 23380
diff changeset
452 ainv = _sqrt(2.0 * alpha - 1.0)
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
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parents: 23380
diff changeset
453 bbb = alpha - LOG4
b15896053933 Closes SF bug 527139. Moved temp variables inside guard.
Raymond Hettinger <python@rcn.com>
parents: 23380
diff changeset
454 ccc = alpha + ainv
23521
a90faa5f9417 Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 23451
diff changeset
455
26266
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Raymond Hettinger <python@rcn.com>
parents: 26178
diff changeset
456 while True:
16242
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
457 u1 = random()
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
458 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
459 continue
90350b5d3397 Correct long standing bugs in the methods for random distributions.
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parents: 27080
diff changeset
460 u2 = 1.0 - random()
16242
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parents: 15871
diff changeset
461 v = _log(u1/(1.0-u1))/ainv
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
462 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
463 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
464 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
465 if r + SG_MAGICCONST - 4.5*z >= 0.0 or r >= _log(z):
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
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parents: 23442
diff changeset
466 return x * beta
1575
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Guido van Rossum <guido@python.org>
parents:
diff changeset
467
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
468 elif alpha == 1.0:
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
469 # expovariate(1)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
470 u = random()
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
471 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
472 u = random()
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
473 return -_log(u) * beta
1575
45728bfecb76 Random variable generators
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parents:
diff changeset
474
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
475 else: # alpha is between 0 and 1 (exclusive)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
476
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
477 # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle
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parents:
diff changeset
478
26266
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Raymond Hettinger <python@rcn.com>
parents: 26178
diff changeset
479 while True:
16242
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Tim Peters <tim.peters@gmail.com>
parents: 15871
diff changeset
480 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
481 b = (_e + alpha)/_e
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
482 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
483 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
484 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
485 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
486 # p > 1
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
487 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
488 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
489 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
490 ((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
491 break
23447
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
492 return x * beta
08ccb0f3e2d4 Closes patch 529408 deprecating random.stdgamma().
Raymond Hettinger <python@rcn.com>
parents: 23442
diff changeset
493
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
494 ## -------------------- 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
495
16242
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parents: 15871
diff changeset
496 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
497 """Gaussian distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
498
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
499 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
500 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
501
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
502 Not thread-safe without a lock around calls.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
503
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
504 """
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
505
16242
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parents: 15871
diff changeset
506 # 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
507 # 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
508 #
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
509 # cos(2*pi*x)*sqrt(-2*log(1-y))
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
510 # 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
511 #
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
512 # are two *independent* variables with normal distribution
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
513 # (mu = 0, sigma = 1).
3c5f09422b69 Reworked random.py so that it no longer depends on, and offers all the
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parents: 15871
diff changeset
514 # (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
515 # (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
516
16242
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parents: 15871
diff changeset
517 # 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
518 # 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
519 # 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
520 # 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
521 # 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
522 # lock here.)
1577
444e349f962f Use float constants directly; cosmetic changes; initialize largest
Guido van Rossum <guido@python.org>
parents: 1576
diff changeset
523
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
524 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
525 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
526 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
527 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
528 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
529 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
530 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
531 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
532
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
533 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
534
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
535 ## -------------------- beta --------------------
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
536 ## See
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
537 ## 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
538 ## 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
539 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
540 ## def betavariate(self, alpha, beta):
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
541 ## # 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
542 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
543 ## y = self.expovariate(alpha)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
544 ## 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
545 ## return z/(y+z)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
546 ##
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
547 ## 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
548
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 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
550 """Beta distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
551
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
552 Conditions on the parameters are alpha > -1 and beta} > -1.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
553 Returned values range between 0 and 1.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
554
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
555 """
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
556
16271
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
557 # 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
558 # 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
559 y = self.gammavariate(alpha, 1.)
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
560 if y == 0:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
561 return 0.0
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
562 else:
7ef2382f6123 SF bug 130030: Claim of bad betavariate algorithm.
Tim Peters <tim.peters@gmail.com>
parents: 16265
diff changeset
563 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
564
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
565 ## -------------------- Pareto --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
566
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
567 def paretovariate(self, alpha):
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
568 """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
569 # Jain, pg. 495
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
570
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
571 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
572 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
573
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
574 ## -------------------- Weibull --------------------
6698
b73eb4e6face Added Pareto and Weibull distributions, courtesy Jeremy Hylton.
Guido van Rossum <guido@python.org>
parents: 1618
diff changeset
575
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
576 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
577 """Weibull distribution.
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
578
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
579 alpha is the scale parameter and beta is the shape parameter.
23536
0a4c92559a0b Whitespace normalized.
Raymond Hettinger <python@rcn.com>
parents: 23531
diff changeset
580
23531
a98e93eafef7 Deprecated Random.cunifvariate clearing bug 506647. Also, added docstrings.
Raymond Hettinger <python@rcn.com>
parents: 23521
diff changeset
581 """
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
582 # 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
583
27085
90350b5d3397 Correct long standing bugs in the methods for random distributions.
Raymond Hettinger <python@rcn.com>
parents: 27080
diff changeset
584 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
585 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
586
26829
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
587 ## -------------------- 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
588
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
589 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
590
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
591 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
592
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
593 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
594 """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
595
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
596 None or no argument seeds 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
597
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
598 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
599
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
600 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
601 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
602 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
603 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
604 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
605
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
606 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
607 # 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
608 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
609 a = 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
610
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
611 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
612 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
613
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
614 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
615 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
616 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
617 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
618
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
619 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
620
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
621 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
622 """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
623
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
624 # 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
625 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
626 # 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
627 # 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
628 # 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
629 # 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
630 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
631 # 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
632 # 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
633 # 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
634 #
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
635 # 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
636 # 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
637 # 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
638
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
639 # 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
640 # 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
641 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
642 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
643 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
644 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
645 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
646 # 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
647
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
648 # 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
649 # 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
650 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
651
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
652 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
653 """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
654 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
655
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
656 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
657 """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
658 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
659 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
660 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
661 else:
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
662 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
663 "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
664 (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
665
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
666 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
667 """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
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 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
670
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
671 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
672 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
673 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
674 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
675 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
676 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
677 period.
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
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
680 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
681 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
682 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
683 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
684 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
685 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
686 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
687
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
688 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
689 """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
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 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
692 """
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
693
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
694 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
695 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
696 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
697 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
698 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
699 # 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
700 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
701 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
702 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
703 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
704 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
705 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
706 # 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
707 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
708
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
709 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
710
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
711 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
712 """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
713
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
714 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
715 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
716 states.
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
717
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
718 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
719 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
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
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
722 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
723 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
724 return
f64c96922708 SF patch 658251: Install a C implementation of the Mersenne Twister as the
Raymond Hettinger <python@rcn.com>
parents: 26564
diff changeset
725 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
726 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
727 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
728 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
729 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
730 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
731 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
732 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
733
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
734 ## -------------------- test program --------------------
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
735
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
736 def _test_generator(n, func, args):
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
737 import time
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
738 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
739 total = 0.0
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
740 sqsum = 0.0
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
741 smallest = 1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
742 largest = -1e10
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
743 t0 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
744 for i in range(n):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
745 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
746 total += x
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
747 sqsum = sqsum + x*x
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
748 smallest = min(x, smallest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
749 largest = max(x, largest)
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
750 t1 = time.time()
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
751 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
752 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
753 stddev = _sqrt(sqsum/n - avg*avg)
15871
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
754 print 'avg %g, stddev %g, min %g, max %g' % \
62aeefa01fdd Whitespace normalization.
Tim Peters <tim.peters@gmail.com>
parents: 14617
diff changeset
755 (avg, stddev, smallest, largest)
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
756
26155
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
757
8ceb455f5541 SF patch 629637: Add sample(population, k) method to the random module.
Raymond Hettinger <python@rcn.com>
parents: 24861
diff changeset
758 def _test(N=2000):
30243
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
759 _test_generator(N, random, ())
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
760 _test_generator(N, normalvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
761 _test_generator(N, lognormvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
762 _test_generator(N, vonmisesvariate, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
763 _test_generator(N, gammavariate, (0.01, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
764 _test_generator(N, gammavariate, (0.1, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
765 _test_generator(N, gammavariate, (0.1, 2.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
766 _test_generator(N, gammavariate, (0.5, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
767 _test_generator(N, gammavariate, (0.9, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
768 _test_generator(N, gammavariate, (1.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
769 _test_generator(N, gammavariate, (2.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
770 _test_generator(N, gammavariate, (20.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
771 _test_generator(N, gammavariate, (200.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
772 _test_generator(N, gauss, (0.0, 1.0))
53a322c6de52 Eliminate unnecessary eval() in tests
Raymond Hettinger <python@rcn.com>
parents: 30114
diff changeset
773 _test_generator(N, betavariate, (3.0, 3.0))
16265
d614b6e9fb4e Cosmetic changes after some sleep; no change in semantics.
Tim Peters <tim.peters@gmail.com>
parents: 16243
diff changeset
774
16292
0501c2a10315 New comment block to Clarify a subtlety.
Tim Peters <tim.peters@gmail.com>
parents: 16272
diff changeset
775 # 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
776 # 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
777 #(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
778 # 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
779 # 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
780
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
781 _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
782 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
783 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
784 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
785 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
786 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
787 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
788 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
789 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
790 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
791 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
792 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
793 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
794 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
795 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
796 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
797 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
798 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
799 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
800 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
801 jumpahead = _inst.jumpahead
30649
8841d34a2c37 SF bug #812202: randint is always even
Raymond Hettinger <python@rcn.com>
parents: 30346
diff changeset
802 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
803
1575
45728bfecb76 Random variable generators
Guido van Rossum <guido@python.org>
parents:
diff changeset
804 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
805 _test()