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comparison DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/random/info.py @ 87:2a2c65a20a8b

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Add Python libs and headers
author Chris Cannam
date Wed, 25 Feb 2015 14:05:22 +0000
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86:413a9d26189e 87:2a2c65a20a8b
1 """
2 ========================
3 Random Number Generation
4 ========================
5
6 ==================== =========================================================
7 Utility functions
8 ==============================================================================
9 random_sample Uniformly distributed floats over ``[0, 1)``.
10 random Alias for `random_sample`.
11 bytes Uniformly distributed random bytes.
12 random_integers Uniformly distributed integers in a given range.
13 permutation Randomly permute a sequence / generate a random sequence.
14 shuffle Randomly permute a sequence in place.
15 seed Seed the random number generator.
16 ==================== =========================================================
17
18 ==================== =========================================================
19 Compatibility functions
20 ==============================================================================
21 rand Uniformly distributed values.
22 randn Normally distributed values.
23 ranf Uniformly distributed floating point numbers.
24 randint Uniformly distributed integers in a given range.
25 ==================== =========================================================
26
27 ==================== =========================================================
28 Univariate distributions
29 ==============================================================================
30 beta Beta distribution over ``[0, 1]``.
31 binomial Binomial distribution.
32 chisquare :math:`\\chi^2` distribution.
33 exponential Exponential distribution.
34 f F (Fisher-Snedecor) distribution.
35 gamma Gamma distribution.
36 geometric Geometric distribution.
37 gumbel Gumbel distribution.
38 hypergeometric Hypergeometric distribution.
39 laplace Laplace distribution.
40 logistic Logistic distribution.
41 lognormal Log-normal distribution.
42 logseries Logarithmic series distribution.
43 negative_binomial Negative binomial distribution.
44 noncentral_chisquare Non-central chi-square distribution.
45 noncentral_f Non-central F distribution.
46 normal Normal / Gaussian distribution.
47 pareto Pareto distribution.
48 poisson Poisson distribution.
49 power Power distribution.
50 rayleigh Rayleigh distribution.
51 triangular Triangular distribution.
52 uniform Uniform distribution.
53 vonmises Von Mises circular distribution.
54 wald Wald (inverse Gaussian) distribution.
55 weibull Weibull distribution.
56 zipf Zipf's distribution over ranked data.
57 ==================== =========================================================
58
59 ==================== =========================================================
60 Multivariate distributions
61 ==============================================================================
62 dirichlet Multivariate generalization of Beta distribution.
63 multinomial Multivariate generalization of the binomial distribution.
64 multivariate_normal Multivariate generalization of the normal distribution.
65 ==================== =========================================================
66
67 ==================== =========================================================
68 Standard distributions
69 ==============================================================================
70 standard_cauchy Standard Cauchy-Lorentz distribution.
71 standard_exponential Standard exponential distribution.
72 standard_gamma Standard Gamma distribution.
73 standard_normal Standard normal distribution.
74 standard_t Standard Student's t-distribution.
75 ==================== =========================================================
76
77 ==================== =========================================================
78 Internal functions
79 ==============================================================================
80 get_state Get tuple representing internal state of generator.
81 set_state Set state of generator.
82 ==================== =========================================================
83
84 """
85 from __future__ import division, absolute_import, print_function
86
87 depends = ['core']
88
89 __all__ = [
90 'beta',
91 'binomial',
92 'bytes',
93 'chisquare',
94 'exponential',
95 'f',
96 'gamma',
97 'geometric',
98 'get_state',
99 'gumbel',
100 'hypergeometric',
101 'laplace',
102 'logistic',
103 'lognormal',
104 'logseries',
105 'multinomial',
106 'multivariate_normal',
107 'negative_binomial',
108 'noncentral_chisquare',
109 'noncentral_f',
110 'normal',
111 'pareto',
112 'permutation',
113 'poisson',
114 'power',
115 'rand',
116 'randint',
117 'randn',
118 'random_integers',
119 'random_sample',
120 'rayleigh',
121 'seed',
122 'set_state',
123 'shuffle',
124 'standard_cauchy',
125 'standard_exponential',
126 'standard_gamma',
127 'standard_normal',
128 'standard_t',
129 'triangular',
130 'uniform',
131 'vonmises',
132 'wald',
133 'weibull',
134 'zipf'
135 ]