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Diffstat (limited to 'js/highlight/stan.js')
| -rw-r--r-- | js/highlight/stan.js | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/js/highlight/stan.js b/js/highlight/stan.js index c9080121f..690e83507 100644 --- a/js/highlight/stan.js +++ b/js/highlight/stan.js @@ -1,2 +1,2 @@ -(window.textWebpackJsonp=window.textWebpackJsonp||[]).push([[159],{450:function(e,i){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=1155144281fc98969b1b
\ No newline at end of file +(window.textWebpackJsonp=window.textWebpackJsonp||[]).push([[159],{440:function(e,i){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=1730426856be62a9ff98
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