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Diffstat (limited to 'js/highlight/stan.js.map')
| -rw-r--r-- | js/highlight/stan.js.map | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/js/highlight/stan.js.map b/js/highlight/stan.js.map index 2d9e4e68d..1a9ebdd39 100644 --- a/js/highlight/stan.js.map +++ b/js/highlight/stan.js.map @@ -1 +1 @@ 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= function(hljs) {\n // variable names cannot conflict with block identifiers\n var BLOCKS = [\n 'functions',\n 'model',\n 'data',\n 'parameters',\n 'quantities',\n 'transformed',\n 'generated'\n ];\n var STATEMENTS = [\n 'for',\n 'in',\n 'if',\n 'else',\n 'while',\n 'break',\n 'continue',\n 'return'\n ];\n var SPECIAL_FUNCTIONS = [\n 'print',\n 'reject',\n 'increment_log_prob|10',\n 'integrate_ode|10',\n 'integrate_ode_rk45|10',\n 'integrate_ode_bdf|10',\n 'algebra_solver'\n ];\n var VAR_TYPES = [\n 'int',\n 'real',\n 'vector',\n 'ordered',\n 'positive_ordered',\n 'simplex',\n 'unit_vector',\n 'row_vector',\n 'matrix',\n 'cholesky_factor_corr|10',\n 'cholesky_factor_cov|10',\n 'corr_matrix|10',\n 'cov_matrix|10',\n 'void'\n ];\n var FUNCTIONS = [\n 'Phi', 'Phi_approx', 'abs', 'acos', 'acosh', 'algebra_solver', 'append_array',\n 'append_col', 'append_row', 'asin', 'asinh', 'atan', 'atan2', 'atanh',\n 'bernoulli_cdf', 'bernoulli_lccdf', 'bernoulli_lcdf', 'bernoulli_logit_lpmf',\n 'bernoulli_logit_rng', 'bernoulli_lpmf', 'bernoulli_rng', 'bessel_first_kind',\n 'bessel_second_kind', 'beta_binomial_cdf', 'beta_binomial_lccdf',\n 'beta_binomial_lcdf', 'beta_binomial_lpmf', 'beta_binomial_rng', 'beta_cdf',\n 'beta_lccdf', 'beta_lcdf', 'beta_lpdf', 'beta_rng', 'binary_log_loss',\n 'binomial_cdf', 'binomial_coefficient_log', 'binomial_lccdf', 'binomial_lcdf',\n 'binomial_logit_lpmf', 'binomial_lpmf', 'binomial_rng', 'block',\n 'categorical_logit_lpmf', 'categorical_logit_rng', 'categorical_lpmf',\n 'categorical_rng', 'cauchy_cdf', 'cauchy_lccdf', 'cauchy_lcdf', 'cauchy_lpdf',\n 'cauchy_rng', 'cbrt', 'ceil', 'chi_square_cdf', 'chi_square_lccdf',\n 'chi_square_lcdf', 'chi_square_lpdf', 'chi_square_rng', 'cholesky_decompose',\n 'choose', 'col', 'cols', 'columns_dot_product', 'columns_dot_self', 'cos',\n 'cosh', 'cov_exp_quad', 'crossprod', 'csr_extract_u', 'csr_extract_v',\n 'csr_extract_w', 'csr_matrix_times_vector', 'csr_to_dense_matrix',\n 'cumulative_sum', 'determinant', 'diag_matrix', 'diag_post_multiply',\n 'diag_pre_multiply', 'diagonal', 'digamma', 'dims', 'dirichlet_lpdf',\n 'dirichlet_rng', 'distance', 'dot_product', 'dot_self',\n 'double_exponential_cdf', 'double_exponential_lccdf', 'double_exponential_lcdf',\n 'double_exponential_lpdf', 'double_exponential_rng', 'e', 'eigenvalues_sym',\n 'eigenvectors_sym', 'erf', 'erfc', 'exp', 'exp2', 'exp_mod_normal_cdf',\n 'exp_mod_normal_lccdf', 'exp_mod_normal_lcdf', 'exp_mod_normal_lpdf',\n 'exp_mod_normal_rng', 'expm1', 'exponential_cdf', 'exponential_lccdf',\n 'exponential_lcdf', 'exponential_lpdf', 'exponential_rng', 'fabs',\n 'falling_factorial', 'fdim', 'floor', 'fma', 'fmax', 'fmin', 'fmod',\n 'frechet_cdf', 'frechet_lccdf', 'frechet_lcdf', 'frechet_lpdf', 'frechet_rng',\n 'gamma_cdf', 'gamma_lccdf', 'gamma_lcdf', 'gamma_lpdf', 'gamma_p', 'gamma_q',\n 'gamma_rng', 'gaussian_dlm_obs_lpdf', 'get_lp', 'gumbel_cdf', 'gumbel_lccdf',\n 'gumbel_lcdf', 'gumbel_lpdf', 'gumbel_rng', 'head', 'hypergeometric_lpmf',\n 'hypergeometric_rng', 'hypot', 'inc_beta', 'int_step', 'integrate_ode',\n 'integrate_ode_bdf', 'integrate_ode_rk45', 'inv', 'inv_Phi',\n 'inv_chi_square_cdf', 'inv_chi_square_lccdf', 'inv_chi_square_lcdf',\n 'inv_chi_square_lpdf', 'inv_chi_square_rng', 'inv_cloglog', 'inv_gamma_cdf',\n 'inv_gamma_lccdf', 'inv_gamma_lcdf', 'inv_gamma_lpdf', 'inv_gamma_rng',\n 'inv_logit', 'inv_sqrt', 'inv_square', 'inv_wishart_lpdf', 'inv_wishart_rng',\n 'inverse', 'inverse_spd', 'is_inf', 'is_nan', 'lbeta', 'lchoose', 'lgamma',\n 'lkj_corr_cholesky_lpdf', 'lkj_corr_cholesky_rng', 'lkj_corr_lpdf',\n 'lkj_corr_rng', 'lmgamma', 'lmultiply', 'log', 'log10', 'log1m', 'log1m_exp',\n 'log1m_inv_logit', 'log1p', 'log1p_exp', 'log2', 'log_determinant',\n 'log_diff_exp', 'log_falling_factorial', 'log_inv_logit', 'log_mix',\n 'log_rising_factorial', 'log_softmax', 'log_sum_exp', 'logistic_cdf',\n 'logistic_lccdf', 'logistic_lcdf', 'logistic_lpdf', 'logistic_rng', 'logit',\n 'lognormal_cdf', 'lognormal_lccdf', 'lognormal_lcdf', 'lognormal_lpdf',\n 'lognormal_rng', 'machine_precision', 'matrix_exp', 'max', 'mdivide_left_spd',\n 'mdivide_left_tri_low', 'mdivide_right_spd', 'mdivide_right_tri_low', 'mean',\n 'min', 'modified_bessel_first_kind', 'modified_bessel_second_kind',\n 'multi_gp_cholesky_lpdf', 'multi_gp_lpdf', 'multi_normal_cholesky_lpdf',\n 'multi_normal_cholesky_rng', 'multi_normal_lpdf', 'multi_normal_prec_lpdf',\n 'multi_normal_rng', 'multi_student_t_lpdf', 'multi_student_t_rng',\n 'multinomial_lpmf', 'multinomial_rng', 'multiply_log',\n 'multiply_lower_tri_self_transpose', 'neg_binomial_2_cdf',\n 'neg_binomial_2_lccdf', 'neg_binomial_2_lcdf', 'neg_binomial_2_log_lpmf',\n 'neg_binomial_2_log_rng', 'neg_binomial_2_lpmf', 'neg_binomial_2_rng',\n 'neg_binomial_cdf', 'neg_binomial_lccdf', 'neg_binomial_lcdf',\n 'neg_binomial_lpmf', 'neg_binomial_rng', 'negative_infinity', 'normal_cdf',\n 'normal_lccdf', 'normal_lcdf', 'normal_lpdf', 'normal_rng', 'not_a_number',\n 'num_elements', 'ordered_logistic_lpmf', 'ordered_logistic_rng', 'owens_t',\n 'pareto_cdf', 'pareto_lccdf', 'pareto_lcdf', 'pareto_lpdf', 'pareto_rng',\n 'pareto_type_2_cdf', 'pareto_type_2_lccdf', 'pareto_type_2_lcdf',\n 'pareto_type_2_lpdf', 'pareto_type_2_rng', 'pi', 'poisson_cdf', 'poisson_lccdf',\n 'poisson_lcdf', 'poisson_log_lpmf', 'poisson_log_rng', 'poisson_lpmf',\n 'poisson_rng', 'positive_infinity', 'pow', 'print', 'prod', 'qr_Q', 'qr_R',\n 'quad_form', 'quad_form_diag', 'quad_form_sym', 'rank', 'rayleigh_cdf',\n 'rayleigh_lccdf', 'rayleigh_lcdf', 'rayleigh_lpdf', 'rayleigh_rng', 'reject',\n 'rep_array', 'rep_matrix', 'rep_row_vector', 'rep_vector', 'rising_factorial',\n 'round', 'row', 'rows', 'rows_dot_product', 'rows_dot_self',\n 'scaled_inv_chi_square_cdf', 'scaled_inv_chi_square_lccdf',\n 'scaled_inv_chi_square_lcdf', 'scaled_inv_chi_square_lpdf',\n 'scaled_inv_chi_square_rng', 'sd', 'segment', 'sin', 'singular_values', 'sinh',\n 'size', 'skew_normal_cdf', 'skew_normal_lccdf', 'skew_normal_lcdf',\n 'skew_normal_lpdf', 'skew_normal_rng', 'softmax', 'sort_asc', 'sort_desc',\n 'sort_indices_asc', 'sort_indices_desc', 'sqrt', 'sqrt2', 'square',\n 'squared_distance', 'step', 'student_t_cdf', 'student_t_lccdf',\n 'student_t_lcdf', 'student_t_lpdf', 'student_t_rng', 'sub_col', 'sub_row',\n 'sum', 'tail', 'tan', 'tanh', 'target', 'tcrossprod', 'tgamma', 'to_array_1d',\n 'to_array_2d', 'to_matrix', 'to_row_vector', 'to_vector', 'trace',\n 'trace_gen_quad_form', 'trace_quad_form', 'trigamma', 'trunc', 'uniform_cdf',\n 'uniform_lccdf', 'uniform_lcdf', 'uniform_lpdf', 'uniform_rng', 'variance',\n 'von_mises_lpdf', 'von_mises_rng', 'weibull_cdf', 'weibull_lccdf',\n 'weibull_lcdf', 'weibull_lpdf', 'weibull_rng', 'wiener_lpdf', 'wishart_lpdf',\n 'wishart_rng'\n ];\n var DISTRIBUTIONS = [\n 'bernoulli', 'bernoulli_logit', 'beta', 'beta_binomial', 'binomial',\n 'binomial_logit', 'categorical', 'categorical_logit', 'cauchy', 'chi_square',\n 'dirichlet', 'double_exponential', 'exp_mod_normal', 'exponential', 'frechet',\n 'gamma', 'gaussian_dlm_obs', 'gumbel', 'hypergeometric', 'inv_chi_square',\n 'inv_gamma', 'inv_wishart', 'lkj_corr', 'lkj_corr_cholesky', 'logistic',\n 'lognormal', 'multi_gp', 'multi_gp_cholesky', 'multi_normal',\n 'multi_normal_cholesky', 'multi_normal_prec', 'multi_student_t', 'multinomial',\n 'neg_binomial', 'neg_binomial_2', 'neg_binomial_2_log', 'normal',\n 'ordered_logistic', 'pareto', 'pareto_type_2', 'poisson', 'poisson_log',\n 'rayleigh', 'scaled_inv_chi_square', 'skew_normal', 'student_t', 'uniform',\n 'von_mises', 'weibull', 'wiener', 'wishart'\n ];\n\n return {\n aliases: ['stanfuncs'],\n keywords: {\n 'title': BLOCKS.join(' '),\n 'keyword': STATEMENTS.concat(VAR_TYPES).concat(SPECIAL_FUNCTIONS).join(' '),\n 'built_in': FUNCTIONS.join(' ')\n },\n lexemes: hljs.IDENT_RE,\n contains: [\n hljs.C_LINE_COMMENT_MODE,\n hljs.COMMENT(\n /#/,\n /$/,\n {\n relevance: 0,\n keywords: {\n 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= function(hljs) {\n // variable names cannot conflict with block identifiers\n var BLOCKS = [\n 'functions',\n 'model',\n 'data',\n 'parameters',\n 'quantities',\n 'transformed',\n 'generated'\n ];\n var STATEMENTS = [\n 'for',\n 'in',\n 'if',\n 'else',\n 'while',\n 'break',\n 'continue',\n 'return'\n ];\n var SPECIAL_FUNCTIONS = [\n 'print',\n 'reject',\n 'increment_log_prob|10',\n 'integrate_ode|10',\n 'integrate_ode_rk45|10',\n 'integrate_ode_bdf|10',\n 'algebra_solver'\n ];\n var VAR_TYPES = [\n 'int',\n 'real',\n 'vector',\n 'ordered',\n 'positive_ordered',\n 'simplex',\n 'unit_vector',\n 'row_vector',\n 'matrix',\n 'cholesky_factor_corr|10',\n 'cholesky_factor_cov|10',\n 'corr_matrix|10',\n 'cov_matrix|10',\n 'void'\n ];\n var FUNCTIONS = [\n 'Phi', 'Phi_approx', 'abs', 'acos', 'acosh', 'algebra_solver', 'append_array',\n 'append_col', 'append_row', 'asin', 'asinh', 'atan', 'atan2', 'atanh',\n 'bernoulli_cdf', 'bernoulli_lccdf', 'bernoulli_lcdf', 'bernoulli_logit_lpmf',\n 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