"""
pygments . lexers . _stan_builtins
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
This file contains the names of functions for Stan used by
` ` pygments . lexers . math . StanLexer . This is for Stan language version 2.29 .0 .
: copyright : Copyright 2006 - 2023 by the Pygments team , see AUTHORS .
: license : BSD , see LICENSE for details .
"""
KEYWORDS = (
' break ' ,
' continue ' ,
' else ' ,
' for ' ,
' if ' ,
' in ' ,
' print ' ,
' reject ' ,
' return ' ,
' while ' ,
)
TYPES = (
' cholesky_factor_corr ' ,
' cholesky_factor_cov ' ,
' corr_matrix ' ,
' cov_matrix ' ,
' int ' ,
' matrix ' ,
' ordered ' ,
' positive_ordered ' ,
' real ' ,
' row_vector ' ,
' simplex ' ,
' unit_vector ' ,
' vector ' ,
' void ' ,
' array ' ,
' complex '
)
FUNCTIONS = (
' abs ' ,
' acos ' ,
' acosh ' ,
' add_diag ' ,
' algebra_solver ' ,
' algebra_solver_newton ' ,
' append_array ' ,
' append_col ' ,
' append_row ' ,
' arg ' ,
' asin ' ,
' asinh ' ,
' atan ' ,
' atan2 ' ,
' atanh ' ,
' bernoulli_cdf ' ,
' bernoulli_lccdf ' ,
' bernoulli_lcdf ' ,
' bernoulli_logit_glm_lpmf ' ,
' bernoulli_logit_glm_lupmf ' ,
' bernoulli_logit_glm_rng ' ,
' bernoulli_logit_lpmf ' ,
' bernoulli_logit_lupmf ' ,
' bernoulli_logit_rng ' ,
' bernoulli_lpmf ' ,
' bernoulli_lupmf ' ,
' bernoulli_rng ' ,
' bessel_first_kind ' ,
' bessel_second_kind ' ,
' beta ' ,
' beta_binomial_cdf ' ,
' beta_binomial_lccdf ' ,
' beta_binomial_lcdf ' ,
' beta_binomial_lpmf ' ,
' beta_binomial_lupmf ' ,
' beta_binomial_rng ' ,
' beta_cdf ' ,
' beta_lccdf ' ,
' beta_lcdf ' ,
' beta_lpdf ' ,
' beta_lupdf ' ,
' beta_proportion_lccdf ' ,
' beta_proportion_lcdf ' ,
' beta_proportion_rng ' ,
' beta_rng ' ,
' binary_log_loss ' ,
' binomial_cdf ' ,
' binomial_coefficient_log ' ,
' binomial_lccdf ' ,
' binomial_lcdf ' ,
' binomial_logit_lpmf ' ,
' binomial_logit_lupmf ' ,
' binomial_lpmf ' ,
' binomial_lupmf ' ,
' binomial_rng ' ,
' block ' ,
' categorical_logit_glm_lpmf ' ,
' categorical_logit_glm_lupmf ' ,
' categorical_logit_lpmf ' ,
' categorical_logit_lupmf ' ,
' categorical_logit_rng ' ,
' categorical_lpmf ' ,
' categorical_lupmf ' ,
' categorical_rng ' ,
' cauchy_cdf ' ,
' cauchy_lccdf ' ,
' cauchy_lcdf ' ,
' cauchy_lpdf ' ,
' cauchy_lupdf ' ,
' cauchy_rng ' ,
' cbrt ' ,
' ceil ' ,
' chi_square_cdf ' ,
' chi_square_lccdf ' ,
' chi_square_lcdf ' ,
' chi_square_lpdf ' ,
' chi_square_lupdf ' ,
' chi_square_rng ' ,
' chol2inv ' ,
' cholesky_decompose ' ,
' choose ' ,
' col ' ,
' cols ' ,
' columns_dot_product ' ,
' columns_dot_self ' ,
' conj ' ,
' cos ' ,
' cosh ' ,
' cov_exp_quad ' ,
' crossprod ' ,
' csr_extract_u ' ,
' csr_extract_v ' ,
' csr_extract_w ' ,
' csr_matrix_times_vector ' ,
' csr_to_dense_matrix ' ,
' cumulative_sum ' ,
' dae ' ,
' dae_tol ' ,
' determinant ' ,
' diag_matrix ' ,
' diag_post_multiply ' ,
' diag_pre_multiply ' ,
' diagonal ' ,
' digamma ' ,
' dims ' ,
' dirichlet_lpdf ' ,
' dirichlet_lupdf ' ,
' dirichlet_rng ' ,
' discrete_range_cdf ' ,
' discrete_range_lccdf ' ,
' discrete_range_lcdf ' ,
' discrete_range_lpmf ' ,
' discrete_range_lupmf ' ,
' discrete_range_rng ' ,
' distance ' ,
' dot_product ' ,
' dot_self ' ,
' double_exponential_cdf ' ,
' double_exponential_lccdf ' ,
' double_exponential_lcdf ' ,
' double_exponential_lpdf ' ,
' double_exponential_lupdf ' ,
' double_exponential_rng ' ,
' e ' ,
' eigenvalues_sym ' ,
' eigenvectors_sym ' ,
' erf ' ,
' erfc ' ,
' exp ' ,
' exp2 ' ,
' exp_mod_normal_cdf ' ,
' exp_mod_normal_lccdf ' ,
' exp_mod_normal_lcdf ' ,
' exp_mod_normal_lpdf ' ,
' exp_mod_normal_lupdf ' ,
' exp_mod_normal_rng ' ,
' expm1 ' ,
' exponential_cdf ' ,
' exponential_lccdf ' ,
' exponential_lcdf ' ,
' exponential_lpdf ' ,
' exponential_lupdf ' ,
' exponential_rng ' ,
' fabs ' ,
' falling_factorial ' ,
' fdim ' ,
' floor ' ,
' fma ' ,
' fmax ' ,
' fmin ' ,
' fmod ' ,
' frechet_cdf ' ,
' frechet_lccdf ' ,
' frechet_lcdf ' ,
' frechet_lpdf ' ,
' frechet_lupdf ' ,
' frechet_rng ' ,
' gamma_cdf ' ,
' gamma_lccdf ' ,
' gamma_lcdf ' ,
' gamma_lpdf ' ,
' gamma_lupdf ' ,
' gamma_p ' ,
' gamma_q ' ,
' gamma_rng ' ,
' gaussian_dlm_obs_lpdf ' ,
' gaussian_dlm_obs_lupdf ' ,
' generalized_inverse ' ,
' get_imag ' ,
' get_lp ' ,
' get_real ' ,
' gumbel_cdf ' ,
' gumbel_lccdf ' ,
' gumbel_lcdf ' ,
' gumbel_lpdf ' ,
' gumbel_lupdf ' ,
' gumbel_rng ' ,
' head ' ,
' hmm_hidden_state_prob ' ,
' hmm_latent_rng ' ,
' hmm_marginal ' ,
' hypergeometric_lpmf ' ,
' hypergeometric_lupmf ' ,
' hypergeometric_rng ' ,
' hypot ' ,
' identity_matrix ' ,
' inc_beta ' ,
' int_step ' ,
' integrate_1d ' ,
' integrate_ode ' ,
' integrate_ode_adams ' ,
' integrate_ode_bdf ' ,
' integrate_ode_rk45 ' ,
' inv ' ,
' inv_chi_square_cdf ' ,
' inv_chi_square_lccdf ' ,
' inv_chi_square_lcdf ' ,
' inv_chi_square_lpdf ' ,
' inv_chi_square_lupdf ' ,
' inv_chi_square_rng ' ,
' inv_cloglog ' ,
' inv_erfc ' ,
' inv_gamma_cdf ' ,
' inv_gamma_lccdf ' ,
' inv_gamma_lcdf ' ,
' inv_gamma_lpdf ' ,
' inv_gamma_lupdf ' ,
' inv_gamma_rng ' ,
' inv_logit ' ,
' inv_Phi ' ,
' inv_sqrt ' ,
' inv_square ' ,
' inv_wishart_lpdf ' ,
' inv_wishart_lupdf ' ,
' inv_wishart_rng ' ,
' inverse ' ,
' inverse_spd ' ,
' is_inf ' ,
' is_nan ' ,
' lambert_w0 ' ,
' lambert_wm1 ' ,
' lbeta ' ,
' lchoose ' ,
' ldexp ' ,
' lgamma ' ,
' linspaced_array ' ,
' linspaced_int_array ' ,
' linspaced_row_vector ' ,
' linspaced_vector ' ,
' lkj_corr_cholesky_lpdf ' ,
' lkj_corr_cholesky_lupdf ' ,
' lkj_corr_cholesky_rng ' ,
' lkj_corr_lpdf ' ,
' lkj_corr_lupdf ' ,
' lkj_corr_rng ' ,
' lmgamma ' ,
' lmultiply ' ,
' log ' ,
' log10 ' ,
' log1m ' ,
' log1m_exp ' ,
' log1m_inv_logit ' ,
' log1p ' ,
' log1p_exp ' ,
' log2 ' ,
' log_determinant ' ,
' log_diff_exp ' ,
' log_falling_factorial ' ,
' log_inv_logit ' ,
' log_inv_logit_diff ' ,
' log_mix ' ,
' log_modified_bessel_first_kind ' ,
' log_rising_factorial ' ,
' log_softmax ' ,
' log_sum_exp ' ,
' logistic_cdf ' ,
' logistic_lccdf ' ,
' logistic_lcdf ' ,
' logistic_lpdf ' ,
' logistic_lupdf ' ,
' logistic_rng ' ,
' logit ' ,
' loglogistic_cdf ' ,
' loglogistic_lpdf ' ,
' loglogistic_rng ' ,
' lognormal_cdf ' ,
' lognormal_lccdf ' ,
' lognormal_lcdf ' ,
' lognormal_lpdf ' ,
' lognormal_lupdf ' ,
' lognormal_rng ' ,
' machine_precision ' ,
' map_rect ' ,
' matrix_exp ' ,
' matrix_exp_multiply ' ,
' matrix_power ' ,
' max ' ,
' mdivide_left_spd ' ,
' mdivide_left_tri_low ' ,
' mdivide_right_spd ' ,
' mdivide_right_tri_low ' ,
' mean ' ,
' min ' ,
' modified_bessel_first_kind ' ,
' modified_bessel_second_kind ' ,
' multi_gp_cholesky_lpdf ' ,
' multi_gp_cholesky_lupdf ' ,
' multi_gp_lpdf ' ,
' multi_gp_lupdf ' ,
' multi_normal_cholesky_lpdf ' ,
' multi_normal_cholesky_lupdf ' ,
' multi_normal_cholesky_rng ' ,
' multi_normal_lpdf ' ,
' multi_normal_lupdf ' ,
' multi_normal_prec_lpdf ' ,
' multi_normal_prec_lupdf ' ,
' multi_normal_rng ' ,
' multi_student_t_lpdf ' ,
' multi_student_t_lupdf ' ,
' multi_student_t_rng ' ,
' multinomial_logit_lpmf ' ,
' multinomial_logit_lupmf ' ,
' multinomial_logit_rng ' ,
' multinomial_lpmf ' ,
' multinomial_lupmf ' ,
' multinomial_rng ' ,
' multiply_log ' ,
' multiply_lower_tri_self_transpose ' ,
' neg_binomial_2_cdf ' ,
' neg_binomial_2_lccdf ' ,
' neg_binomial_2_lcdf ' ,
' neg_binomial_2_log_glm_lpmf ' ,
' neg_binomial_2_log_glm_lupmf ' ,
' neg_binomial_2_log_lpmf ' ,
' neg_binomial_2_log_lupmf ' ,
' neg_binomial_2_log_rng ' ,
' neg_binomial_2_lpmf ' ,
' neg_binomial_2_lupmf ' ,
' neg_binomial_2_rng ' ,
' neg_binomial_cdf ' ,
' neg_binomial_lccdf ' ,
' neg_binomial_lcdf ' ,
' neg_binomial_lpmf ' ,
' neg_binomial_lupmf ' ,
' neg_binomial_rng ' ,
' negative_infinity ' ,
' norm ' ,
' normal_cdf ' ,
' normal_id_glm_lpdf ' ,
' normal_id_glm_lupdf ' ,
' normal_lccdf ' ,
' normal_lcdf ' ,
' normal_lpdf ' ,
' normal_lupdf ' ,
' normal_rng ' ,
' not_a_number ' ,
' num_elements ' ,
' ode_adams ' ,
' ode_adams_tol ' ,
' ode_adjoint_tol_ctl ' ,
' ode_bdf ' ,
' ode_bdf_tol ' ,
' ode_ckrk ' ,
' ode_ckrk_tol ' ,
' ode_rk45 ' ,
' ode_rk45_tol ' ,
' one_hot_array ' ,
' one_hot_int_array ' ,
' one_hot_row_vector ' ,
' one_hot_vector ' ,
' ones_array ' ,
' ones_int_array ' ,
' ones_row_vector ' ,
' ones_vector ' ,
' ordered_logistic_glm_lpmf ' ,
' ordered_logistic_glm_lupmf ' ,
' ordered_logistic_lpmf ' ,
' ordered_logistic_lupmf ' ,
' ordered_logistic_rng ' ,
' ordered_probit_lpmf ' ,
' ordered_probit_lupmf ' ,
' ordered_probit_rng ' ,
' owens_t ' ,
' pareto_cdf ' ,
' pareto_lccdf ' ,
' pareto_lcdf ' ,
' pareto_lpdf ' ,
' pareto_lupdf ' ,
' pareto_rng ' ,
' pareto_type_2_cdf ' ,
' pareto_type_2_lccdf ' ,
' pareto_type_2_lcdf ' ,
' pareto_type_2_lpdf ' ,
' pareto_type_2_lupdf ' ,
' pareto_type_2_rng ' ,
' Phi ' ,
' Phi_approx ' ,
' pi ' ,
' poisson_cdf ' ,
' poisson_lccdf ' ,
' poisson_lcdf ' ,
' poisson_log_glm_lpmf ' ,
' poisson_log_glm_lupmf ' ,
' poisson_log_lpmf ' ,
' poisson_log_lupmf ' ,
' poisson_log_rng ' ,
' poisson_lpmf ' ,
' poisson_lupmf ' ,
' poisson_rng ' ,
' polar ' ,
' positive_infinity ' ,
' pow ' ,
' print ' ,
' prod ' ,
' proj ' ,
' qr_Q ' ,
' qr_R ' ,
' qr_thin_Q ' ,
' qr_thin_R ' ,
' quad_form ' ,
' quad_form_diag ' ,
' quad_form_sym ' ,
' quantile ' ,
' rank ' ,
' rayleigh_cdf ' ,
' rayleigh_lccdf ' ,
' rayleigh_lcdf ' ,
' rayleigh_lpdf ' ,
' rayleigh_lupdf ' ,
' rayleigh_rng ' ,
' reduce_sum ' ,
' reject ' ,
' rep_array ' ,
' rep_matrix ' ,
' rep_row_vector ' ,
' rep_vector ' ,
' reverse ' ,
' rising_factorial ' ,
' round ' ,
' row ' ,
' rows ' ,
' rows_dot_product ' ,
' rows_dot_self ' ,
' scale_matrix_exp_multiply ' ,
' scaled_inv_chi_square_cdf ' ,
' scaled_inv_chi_square_lccdf ' ,
' scaled_inv_chi_square_lcdf ' ,
' scaled_inv_chi_square_lpdf ' ,
' scaled_inv_chi_square_lupdf ' ,
' scaled_inv_chi_square_rng ' ,
' sd ' ,
' segment ' ,
' sin ' ,
' singular_values ' ,
' sinh ' ,
' size ' ,
' skew_double_exponential_cdf ' ,
' skew_double_exponential_lccdf ' ,
' skew_double_exponential_lcdf ' ,
' skew_double_exponential_lpdf ' ,
' skew_double_exponential_lupdf ' ,
' skew_double_exponential_rng ' ,
' skew_normal_cdf ' ,
' skew_normal_lccdf ' ,
' skew_normal_lcdf ' ,
' skew_normal_lpdf ' ,
' skew_normal_lupdf ' ,
' skew_normal_rng ' ,
' softmax ' ,
' sort_asc ' ,
' sort_desc ' ,
' sort_indices_asc ' ,
' sort_indices_desc ' ,
' sqrt ' ,
' sqrt2 ' ,
' square ' ,
' squared_distance ' ,
' std_normal_cdf ' ,
' std_normal_lccdf ' ,
' std_normal_lcdf ' ,
' std_normal_lpdf ' ,
' std_normal_lupdf ' ,
' std_normal_rng ' ,
' step ' ,
' student_t_cdf ' ,
' student_t_lccdf ' ,
' student_t_lcdf ' ,
' student_t_lpdf ' ,
' student_t_lupdf ' ,
' student_t_rng ' ,
' sub_col ' ,
' sub_row ' ,
' sum ' ,
' svd_U ' ,
' svd_V ' ,
' symmetrize_from_lower_tri ' ,
' tail ' ,
' tan ' ,
' tanh ' ,
' target ' ,
' tcrossprod ' ,
' tgamma ' ,
' to_array_1d ' ,
' to_array_2d ' ,
' to_complex ' ,
' to_matrix ' ,
' to_row_vector ' ,
' to_vector ' ,
' trace ' ,
' trace_gen_quad_form ' ,
' trace_quad_form ' ,
' trigamma ' ,
' trunc ' ,
' uniform_cdf ' ,
' uniform_lccdf ' ,
' uniform_lcdf ' ,
' uniform_lpdf ' ,
' uniform_lupdf ' ,
' uniform_rng ' ,
' uniform_simplex ' ,
' variance ' ,
' von_mises_cdf ' ,
' von_mises_lccdf ' ,
' von_mises_lcdf ' ,
' von_mises_lpdf ' ,
' von_mises_lupdf ' ,
' von_mises_rng ' ,
' weibull_cdf ' ,
' weibull_lccdf ' ,
' weibull_lcdf ' ,
' weibull_lpdf ' ,
' weibull_lupdf ' ,
' weibull_rng ' ,
' wiener_lpdf ' ,
' wiener_lupdf ' ,
' wishart_lpdf ' ,
' wishart_lupdf ' ,
' wishart_rng ' ,
' zeros_array ' ,
' zeros_int_array ' ,
' zeros_row_vector '
)
DISTRIBUTIONS = (
' bernoulli ' ,
' bernoulli_logit ' ,
' bernoulli_logit_glm ' ,
' beta ' ,
' beta_binomial ' ,
' binomial ' ,
' binomial_logit ' ,
' categorical ' ,
' categorical_logit ' ,
' categorical_logit_glm ' ,
' cauchy ' ,
' chi_square ' ,
' dirichlet ' ,
' discrete_range ' ,
' double_exponential ' ,
' exp_mod_normal ' ,
' exponential ' ,
' frechet ' ,
' gamma ' ,
' gaussian_dlm_obs ' ,
' gumbel ' ,
' hypergeometric ' ,
' inv_chi_square ' ,
' inv_gamma ' ,
' inv_wishart ' ,
' lkj_corr ' ,
' lkj_corr_cholesky ' ,
' logistic ' ,
' loglogistic ' ,
' lognormal ' ,
' multi_gp ' ,
' multi_gp_cholesky ' ,
' multi_normal ' ,
' multi_normal_cholesky ' ,
' multi_normal_prec ' ,
' multi_student_t ' ,
' multinomial ' ,
' multinomial_logit ' ,
' neg_binomial ' ,
' neg_binomial_2 ' ,
' neg_binomial_2_log ' ,
' neg_binomial_2_log_glm ' ,
' normal ' ,
' normal_id_glm ' ,
' ordered_logistic ' ,
' ordered_logistic_glm ' ,
' ordered_probit ' ,
' pareto ' ,
' pareto_type_2 ' ,
' poisson ' ,
' poisson_log ' ,
' poisson_log_glm ' ,
' rayleigh ' ,
' scaled_inv_chi_square ' ,
' skew_double_exponential ' ,
' skew_normal ' ,
' std_normal ' ,
' student_t ' ,
' uniform ' ,
' von_mises ' ,
' weibull ' ,
' wiener ' ,
' wishart ' ,
)
RESERVED = (
' repeat ' ,
' until ' ,
' then ' ,
' true ' ,
' false ' ,
' var ' ,
' struct ' ,
' typedef ' ,
' export ' ,
' auto ' ,
' extern ' ,
' var ' ,
' static ' ,
)