--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/ThirdParty/Pygments/pygments/lexers/_stan_builtins.py Sun Feb 17 19:07:15 2013 +0100
@@ -0,0 +1,174 @@
+# -*- coding: utf-8 -*-
+"""
+ pygments.lexers._stan_builtins
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+ This file contains the names of functions for Stan used by
+ ``pygments.lexers.math.StanLexer.
+
+ :copyright: Copyright 2006-2013 by the Pygments team, see AUTHORS.
+ :license: BSD, see LICENSE for details.
+"""
+
+CONSTANTS=[ 'e',
+ 'epsilon',
+ 'log10',
+ 'log2',
+ 'negative_epsilon',
+ 'negative_infinity',
+ 'not_a_number',
+ 'pi',
+ 'positive_infinity',
+ 'sqrt2']
+
+FUNCTIONS=[ 'Phi',
+ 'abs',
+ 'acos',
+ 'acosh',
+ 'asin',
+ 'asinh',
+ 'atan',
+ 'atan2',
+ 'atanh',
+ 'bernoulli_log',
+ 'beta_binomial_log',
+ 'beta_log',
+ 'binary_log_loss',
+ 'binomial_coefficient_log',
+ 'categorical_log',
+ 'cauchy_log',
+ 'cbrt',
+ 'ceil',
+ 'chi_square_log',
+ 'cholesky_decompose',
+ 'col',
+ 'cols',
+ 'cos',
+ 'cosh',
+ 'determinant',
+ 'diag_matrix',
+ 'diagonal',
+ 'dirichlet_log',
+ 'dot_product',
+ 'dot_self',
+ 'double_exponential_log',
+ 'eigenvalues',
+ 'eigenvalues_sym',
+ 'erf',
+ 'erfc',
+ 'exp',
+ 'exp2',
+ 'expm1',
+ 'exponential_cdf',
+ 'exponential_log',
+ 'fabs',
+ 'fdim',
+ 'floor',
+ 'fma',
+ 'fmax',
+ 'fmin',
+ 'fmod',
+ 'gamma_log',
+ 'hypergeometric_log',
+ 'hypot',
+ 'if_else',
+ 'int_step',
+ 'inv_chi_square_log',
+ 'inv_cloglog',
+ 'inv_gamma_log',
+ 'inv_logit',
+ 'inv_wishart_log',
+ 'inverse',
+ 'lbeta',
+ 'lgamma',
+ 'lkj_corr_cholesky_log',
+ 'lkj_corr_log',
+ 'lkj_cov_log',
+ 'lmgamma',
+ 'log',
+ 'log10',
+ 'log1m',
+ 'log1p',
+ 'log1p_exp',
+ 'log2',
+ 'log_sum_exp',
+ 'logistic_log',
+ 'logit',
+ 'lognormal_cdf',
+ 'lognormal_log',
+ 'max',
+ 'mean',
+ 'min',
+ 'multi_normal_cholesky_log',
+ 'multi_normal_log',
+ 'multi_student_t_log',
+ 'multinomial_log',
+ 'multiply_log',
+ 'multiply_lower_tri_self_transpose',
+ 'neg_binomial_log',
+ 'normal_cdf',
+ 'normal_log',
+ 'ordered_logistic_log',
+ 'pareto_log',
+ 'poisson_log',
+ 'pow',
+ 'prod',
+ 'round',
+ 'row',
+ 'rows',
+ 'scaled_inv_chi_square_log',
+ 'sd',
+ 'sin',
+ 'singular_values',
+ 'sinh',
+ 'softmax',
+ 'sqrt',
+ 'square',
+ 'step',
+ 'student_t_log',
+ 'sum',
+ 'tan',
+ 'tanh',
+ 'tgamma',
+ 'trace',
+ 'trunc',
+ 'uniform_log',
+ 'variance',
+ 'weibull_cdf',
+ 'weibull_log',
+ 'wishart_log']
+
+DISTRIBUTIONS=[ 'bernoulli',
+ 'beta',
+ 'beta_binomial',
+ 'categorical',
+ 'cauchy',
+ 'chi_square',
+ 'dirichlet',
+ 'double_exponential',
+ 'exponential',
+ 'gamma',
+ 'hypergeometric',
+ 'inv_chi_square',
+ 'inv_gamma',
+ 'inv_wishart',
+ 'lkj_corr',
+ 'lkj_corr_cholesky',
+ 'lkj_cov',
+ 'logistic',
+ 'lognormal',
+ 'multi_normal',
+ 'multi_normal_cholesky',
+ 'multi_student_t',
+ 'multinomial',
+ 'neg_binomial',
+ 'normal',
+ 'ordered_logistic',
+ 'pareto',
+ 'poisson',
+ 'scaled_inv_chi_square',
+ 'student_t',
+ 'uniform',
+ 'weibull',
+ 'wishart']
+
