ThirdParty/Pygments/pygments/lexers/_stan_builtins.py

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1 # -*- coding: utf-8 -*-
2 """
3 pygments.lexers._stan_builtins
4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5
6 This file contains the names of functions for Stan used by
7 ``pygments.lexers.math.StanLexer.
8
9 :copyright: Copyright 2006-2013 by the Pygments team, see AUTHORS.
10 :license: BSD, see LICENSE for details.
11 """
12
13 CONSTANTS=[ 'e',
14 'epsilon',
15 'log10',
16 'log2',
17 'negative_epsilon',
18 'negative_infinity',
19 'not_a_number',
20 'pi',
21 'positive_infinity',
22 'sqrt2']
23
24 FUNCTIONS=[ 'Phi',
25 'abs',
26 'acos',
27 'acosh',
28 'asin',
29 'asinh',
30 'atan',
31 'atan2',
32 'atanh',
33 'bernoulli_log',
34 'beta_binomial_log',
35 'beta_log',
36 'binary_log_loss',
37 'binomial_coefficient_log',
38 'categorical_log',
39 'cauchy_log',
40 'cbrt',
41 'ceil',
42 'chi_square_log',
43 'cholesky_decompose',
44 'col',
45 'cols',
46 'cos',
47 'cosh',
48 'determinant',
49 'diag_matrix',
50 'diagonal',
51 'dirichlet_log',
52 'dot_product',
53 'dot_self',
54 'double_exponential_log',
55 'eigenvalues',
56 'eigenvalues_sym',
57 'erf',
58 'erfc',
59 'exp',
60 'exp2',
61 'expm1',
62 'exponential_cdf',
63 'exponential_log',
64 'fabs',
65 'fdim',
66 'floor',
67 'fma',
68 'fmax',
69 'fmin',
70 'fmod',
71 'gamma_log',
72 'hypergeometric_log',
73 'hypot',
74 'if_else',
75 'int_step',
76 'inv_chi_square_log',
77 'inv_cloglog',
78 'inv_gamma_log',
79 'inv_logit',
80 'inv_wishart_log',
81 'inverse',
82 'lbeta',
83 'lgamma',
84 'lkj_corr_cholesky_log',
85 'lkj_corr_log',
86 'lkj_cov_log',
87 'lmgamma',
88 'log',
89 'log10',
90 'log1m',
91 'log1p',
92 'log1p_exp',
93 'log2',
94 'log_sum_exp',
95 'logistic_log',
96 'logit',
97 'lognormal_cdf',
98 'lognormal_log',
99 'max',
100 'mean',
101 'min',
102 'multi_normal_cholesky_log',
103 'multi_normal_log',
104 'multi_student_t_log',
105 'multinomial_log',
106 'multiply_log',
107 'multiply_lower_tri_self_transpose',
108 'neg_binomial_log',
109 'normal_cdf',
110 'normal_log',
111 'ordered_logistic_log',
112 'pareto_log',
113 'poisson_log',
114 'pow',
115 'prod',
116 'round',
117 'row',
118 'rows',
119 'scaled_inv_chi_square_log',
120 'sd',
121 'sin',
122 'singular_values',
123 'sinh',
124 'softmax',
125 'sqrt',
126 'square',
127 'step',
128 'student_t_log',
129 'sum',
130 'tan',
131 'tanh',
132 'tgamma',
133 'trace',
134 'trunc',
135 'uniform_log',
136 'variance',
137 'weibull_cdf',
138 'weibull_log',
139 'wishart_log']
140
141 DISTRIBUTIONS=[ 'bernoulli',
142 'beta',
143 'beta_binomial',
144 'categorical',
145 'cauchy',
146 'chi_square',
147 'dirichlet',
148 'double_exponential',
149 'exponential',
150 'gamma',
151 'hypergeometric',
152 'inv_chi_square',
153 'inv_gamma',
154 'inv_wishart',
155 'lkj_corr',
156 'lkj_corr_cholesky',
157 'lkj_cov',
158 'logistic',
159 'lognormal',
160 'multi_normal',
161 'multi_normal_cholesky',
162 'multi_student_t',
163 'multinomial',
164 'neg_binomial',
165 'normal',
166 'ordered_logistic',
167 'pareto',
168 'poisson',
169 'scaled_inv_chi_square',
170 'student_t',
171 'uniform',
172 'weibull',
173 'wishart']
174

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