(window.textWebpackJsonp=window.textWebpackJsonp||[]).push([[160],{433:function(e,i,l){"use strict";e.exports=function(e){return{contains:[e.HASH_COMMENT_MODE,e.C_LINE_COMMENT_MODE,e.C_BLOCK_COMMENT_MODE,{begin:e.UNDERSCORE_IDENT_RE,lexemes:e.UNDERSCORE_IDENT_RE,keywords:{name:"for in while repeat until if then else",symbol:"bernoulli bernoulli_logit binomial binomial_logit beta_binomial hypergeometric categorical categorical_logit ordered_logistic neg_binomial neg_binomial_2 neg_binomial_2_log poisson poisson_log multinomial normal exp_mod_normal skew_normal student_t cauchy double_exponential logistic gumbel lognormal chi_square inv_chi_square scaled_inv_chi_square exponential inv_gamma weibull frechet rayleigh wiener pareto pareto_type_2 von_mises uniform multi_normal multi_normal_prec multi_normal_cholesky multi_gp multi_gp_cholesky multi_student_t gaussian_dlm_obs dirichlet lkj_corr lkj_corr_cholesky wishart inv_wishart","selector-tag":"int real vector simplex unit_vector ordered positive_ordered row_vector matrix cholesky_factor_corr cholesky_factor_cov corr_matrix cov_matrix",title:"functions model data parameters quantities transformed generated",literal:"true false"},relevance:0},{className:"number",begin:"0[xX][0-9a-fA-F]+[Li]?\\b",relevance:0},{className:"number",begin:"0[xX][0-9a-fA-F]+[Li]?\\b",relevance:0},{className:"number",begin:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",relevance:0},{className:"number",begin:"\\d+\\.(?!\\d)(?:i\\b)?",relevance:0},{className:"number",begin:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",relevance:0},{className:"number",begin:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",relevance:0}]}}}}]);
//# sourceMappingURL=stan.js.map?v=ad914539b162ca30f493