updated StanLexer to Stan version 2.0.1 language.

3 files changed, 106 insertions, 11 deletions

diff --git a/pygments/lexers/_stan_builtins.py b/pygments/lexers/_stan_builtins.py
index 637072e4..1cea6ba4 100644
--- a/pygments/lexers/_stan_builtins.py
+++ b/pygments/lexers/_stan_builtins.py
@@ -10,9 +10,10 @@ This file contains the names of functions for Stan used by
 :license: BSD, see LICENSE for details.
 """
 
-KEYWORDS = ['else', 'for', 'if', 'in', 'lower', 'lp__', 'print', 'upper', 'while']
+KEYWORDS = ['else', 'for', 'if', 'in', 'lp__', 'print', 'while']
 
-TYPES = [   'corr_matrix',
+TYPES = [   'cholesky_factor_cov',
+    'corr_matrix',
     'cov_matrix',
     'int',
     'matrix',
@@ -34,35 +35,53 @@ FUNCTIONS = [   'Phi',
     'atan',
     'atan2',
     'atanh',
+    'bernoulli_ccdf_log',
     'bernoulli_cdf',
+    'bernoulli_cdf_log',
     'bernoulli_log',
     'bernoulli_logit_log',
     'bernoulli_rng',
+    'bessel_first_kind',
+    'bessel_second_kind',
+    'beta_binomial_ccdf_log',
     'beta_binomial_cdf',
+    'beta_binomial_cdf_log',
     'beta_binomial_log',
     'beta_binomial_rng',
+    'beta_ccdf_log',
     'beta_cdf',
+    'beta_cdf_log',
     'beta_log',
     'beta_rng',
     'binary_log_loss',
+    'binomial_ccdf_log',
     'binomial_cdf',
+    'binomial_cdf_log',
     'binomial_coefficient_log',
     'binomial_log',
     'binomial_logit_log',
     'binomial_rng',
     'block',
     'categorical_log',
+    'categorical_logit_log',
     'categorical_rng',
+    'cauchy_ccdf_log',
     'cauchy_cdf',
+    'cauchy_cdf_log',
     'cauchy_log',
     'cauchy_rng',
     'cbrt',
     'ceil',
+    'chi_square_ccdf_log',
+    'chi_square_cdf',
+    'chi_square_cdf_log',
     'chi_square_log',
     'chi_square_rng',
     'cholesky_decompose',
     'col',
     'cols',
+    'columns_dot_product',
+    'columns_dot_self',
     'cos',
     'cosh',
     'crossprod',
@@ -77,55 +96,78 @@ FUNCTIONS = [   'Phi',
     'dirichlet_rng',
     'dot_product',
     'dot_self',
+    'double_exponential_ccdf_log',
+    'double_exponential_cdf',
+    'double_exponential_cdf_log',
     'double_exponential_log',
     'double_exponential_rng',
     'e',
     'eigenvalues_sym',
     'eigenvectors_sym',
-    'epsilon',
     'erf',
     'erfc',
     'exp',
     'exp2',
+    'exp_mod_normal_ccdf_log',
     'exp_mod_normal_cdf',
+    'exp_mod_normal_cdf_log',
     'exp_mod_normal_log',
     'exp_mod_normal_rng',
     'expm1',
+    'exponential_ccdf_log',
     'exponential_cdf',
+    'exponential_cdf_log',
     'exponential_log',
     'exponential_rng',
     'fabs',
+    'falling_factorial',
     'fdim',
     'floor',
     'fma',
     'fmax',
     'fmin',
     'fmod',
+    'gamma_ccdf_log',
+    'gamma_cdf',
+    'gamma_cdf_log',
     'gamma_log',
+    'gamma_p',
+    'gamma_q',
     'gamma_rng',
+    'gaussian_dlm_obs_log',
+    'gumbel_ccdf_log',
     'gumbel_cdf',
+    'gumbel_cdf_log',
     'gumbel_log',
     'gumbel_rng',
+    'head',
     'hypergeometric_log',
     'hypergeometric_rng',
     'hypot',
     'if_else',
+    'increment_log_prob',
     'int_step',
+    'inv',
+    'inv_chi_square_ccdf_log',
     'inv_chi_square_cdf',
+    'inv_chi_square_cdf_log',
     'inv_chi_square_log',
     'inv_chi_square_rng',
     'inv_cloglog',
+    'inv_gamma_ccdf_log',
     'inv_gamma_cdf',
+    'inv_gamma_cdf_log',
     'inv_gamma_log',
     'inv_gamma_rng',
     'inv_logit',
+    'inv_sqrt',
+    'inv_square',
     'inv_wishart_log',
     'inv_wishart_rng',
     'inverse',
+    'inverse_spd',
     'lbeta',
     'lgamma',
-    'lkj_corr_cholesky_log',
-    'lkj_corr_cholesky_rng',
     'lkj_corr_log',
     'lkj_corr_rng',
     'lkj_cov_log',
@@ -133,96 +175,145 @@ FUNCTIONS = [   'Phi',
     'log',
     'log10',
     'log1m',
+    'log1m_exp',
     'log1m_inv_logit',
     'log1p',
     'log1p_exp',
     'log2',
     'log_determinant',
+    'log_diff_exp',
+    'log_falling_factorial',
     'log_inv_logit',
+    'log_rising_factorial',
+    'log_softmax',
     'log_sum_exp',
+    'logistic_ccdf_log',
     'logistic_cdf',
+    'logistic_cdf_log',
     'logistic_log',
     'logistic_rng',
     'logit',
+    'lognormal_ccdf_log',
     'lognormal_cdf',
+    'lognormal_cdf_log',
     'lognormal_log',
     'lognormal_rng',
+    'machine_precision',
     'max',
     'mdivide_left_tri_low',
     'mdivide_right_tri_low',
     'mean',
     'min',
+    'modified_bessel_first_kind',
+    'modified_bessel_second_kind',
     'multi_normal_cholesky_log',
     'multi_normal_log',
     'multi_normal_prec_log',
     'multi_normal_rng',
     'multi_student_t_log',
     'multi_student_t_rng',
-    'multinomial_cdf',
     'multinomial_log',
     'multinomial_rng',
     'multiply_log',
     'multiply_lower_tri_self_transpose',
+    'neg_binomial_ccdf_log',
     'neg_binomial_cdf',
+    'neg_binomial_cdf_log',
     'neg_binomial_log',
     'neg_binomial_rng',
-    'negative_epsilon',
     'negative_infinity',
+    'normal_ccdf_log',
     'normal_cdf',
+    'normal_cdf_log',
     'normal_log',
     'normal_rng',
     'not_a_number',
     'ordered_logistic_log',
     'ordered_logistic_rng',
     'owens_t',
+    'pareto_ccdf_log',
     'pareto_cdf',
+    'pareto_cdf_log',
     'pareto_log',
     'pareto_rng',
     'pi',
+    'poisson_ccdf_log',
     'poisson_cdf',
+    'poisson_cdf_log',
     'poisson_log',
     'poisson_log_log',
     'poisson_rng',
     'positive_infinity',
     'pow',
     'prod',
+    'quad_form',
+    'rank',
+    'rayleigh_ccdf_log',
+    'rayleigh_cdf',
+    'rayleigh_cdf_log',
+    'rayleigh_log',
+    'rayleigh_rng',
     'rep_array',
     'rep_matrix',
     'rep_row_vector',
     'rep_vector',
+    'rising_factorial',
     'round',
     'row',
     'rows',
+    'rows_dot_product',
+    'rows_dot_self',
+    'scaled_inv_chi_square_ccdf_log',
     'scaled_inv_chi_square_cdf',
+    'scaled_inv_chi_square_cdf_log',
     'scaled_inv_chi_square_log',
     'scaled_inv_chi_square_rng',
     'sd',
+    'segment',
     'sin',
     'singular_values',
     'sinh',
     'size',
+    'skew_normal_ccdf_log',
     'skew_normal_cdf',
+    'skew_normal_cdf_log',
     'skew_normal_log',
     'skew_normal_rng',
     'softmax',
+    'sort_asc',
+    'sort_desc',
     'sqrt',
     'sqrt2',
     'square',
     'step',
+    'student_t_ccdf_log',
     'student_t_cdf',
+    'student_t_cdf_log',
     'student_t_log',
     'student_t_rng',
+    'sub_col',
+    'sub_row',
     'sum',
+    'tail',
     'tan',
     'tanh',
     'tcrossprod',
     'tgamma',
+    'to_vector',
     'trace',
+    'trace_gen_quad_form',
+    'trace_quad_form',
     'trunc',
+    'uniform_ccdf_log',
+    'uniform_cdf',
+    'uniform_cdf_log',
     'uniform_log',
     'uniform_rng',
     'variance',
+    'von_mises_log',
+    'weibull_ccdf_log',
     'weibull_cdf',
+    'weibull_cdf_log',
     'weibull_log',
     'weibull_rng',
     'wishart_log',
@@ -236,6 +327,7 @@ DISTRIBUTIONS = [   'bernoulli',
     'binomial_coefficient',
     'binomial_logit',
     'categorical',
+    'categorical_logit',
     'cauchy',
     'chi_square',
     'dirichlet',
@@ -243,13 +335,13 @@ DISTRIBUTIONS = [   'bernoulli',
     'exp_mod_normal',
     'exponential',
     'gamma',
+    'gaussian_dlm_obs',
     'gumbel',
     'hypergeometric',
     'inv_chi_square',
     'inv_gamma',
     'inv_wishart',
     'lkj_corr',
-    'lkj_corr_cholesky',
     'lkj_cov',
     'logistic',
     'lognormal',
@@ -265,10 +357,12 @@ DISTRIBUTIONS = [   'bernoulli',
     'pareto',
     'poisson',
     'poisson_log',
+    'rayleigh',
     'scaled_inv_chi_square',
     'skew_normal',
     'student_t',
     'uniform',
+    'von_mises',
     'weibull',
     'wishart']
 
@@ -357,4 +451,3 @@ RESERVED = [   'alignas',
     'wchar_t',
     'xor',
     'xor_eq']
-
diff --git a/pygments/lexers/math.py b/pygments/lexers/math.py
index f0e49fef..cbdacb4d 100644
--- a/pygments/lexers/math.py
+++ b/pygments/lexers/math.py
@@ -1308,9 +1308,9 @@ class JagsLexer(RegexLexer):
 class StanLexer(RegexLexer):
     """Pygments Lexer for Stan models.
 
-    The Stan modeling language is specified in the *Stan 1.3.0
+    The Stan modeling language is specified in the *Stan 2.0.1
     Modeling Language Manual* `pdf
-    <http://code.google.com/p/stan/downloads/detail?name=stan-reference-1.3.0.pdf>`_.
+    <https://github.com/stan-dev/stan/releases/download/v2.0.1/stan-reference-2.0.1.pdf>`__
 
     *New in Pygments 1.6.*
     """
diff --git a/tests/examplefiles/example.stan b/tests/examplefiles/example.stan
index e936f54a..7eb6fdfc 100644
--- a/tests/examplefiles/example.stan
+++ b/tests/examplefiles/example.stan
@@ -19,6 +19,7 @@ data {
   positive_ordered[3] wibble;
   corr_matrix[3] grault;
   cov_matrix[3] garply;
+  cholesky_factor_cov[3] waldo;
   
   real<lower=-1,upper=1> foo1;
   real<lower=0> foo2;
@@ -94,6 +95,7 @@ model {
   // lp__ should be highlighted
   // normal_log as a function
   lp__ <- lp__ + normal_log(plugh, 0, 1);
+  increment_log_prob(normal_log(plugh, 0, 1));
   
   // print statement and string literal
   print("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_~@#$%^&*`'-+={}[].,;: ");