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    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 2006-2025 by the Pygments team, see AUTHORS.
    :license: BSD, see LICENSE for details.
)
ÚbreakÚcontinueÚelseÚforÚifÚinÚprintÚrejectÚreturnÚwhile)Úcholesky_factor_corrÚcholesky_factor_covÚcorr_matrixÚ
cov_matrixÚintÚmatrixÚorderedÚpositive_orderedÚrealÚ
row_vectorÚsimplexÚunit_vectorÚvectorÚvoidÚarrayÚcomplex(	  ÚabsÚacosÚacoshÚadd_diagÚalgebra_solverÚalgebra_solver_newtonÚappend_arrayÚ
append_colÚ
append_rowÚargÚasinÚasinhÚatanÚatan2ÚatanhÚbernoulli_cdfÚbernoulli_lccdfÚbernoulli_lcdfÚbernoulli_logit_glm_lpmfÚbernoulli_logit_glm_lupmfÚbernoulli_logit_glm_rngÚbernoulli_logit_lpmfÚbernoulli_logit_lupmfÚbernoulli_logit_rngÚbernoulli_lpmfÚbernoulli_lupmfÚbernoulli_rngÚbessel_first_kindÚbessel_second_kindÚbetaÚbeta_binomial_cdfÚbeta_binomial_lccdfÚbeta_binomial_lcdfÚbeta_binomial_lpmfÚbeta_binomial_lupmfÚbeta_binomial_rngÚbeta_cdfÚ
beta_lccdfÚ	beta_lcdfÚ	beta_lpdfÚ
beta_lupdfÚbeta_proportion_lccdfÚbeta_proportion_lcdfÚbeta_proportion_rngÚbeta_rngÚbinary_log_lossÚbinomial_cdfÚbinomial_coefficient_logÚbinomial_lccdfÚbinomial_lcdfÚbinomial_logit_lpmfÚbinomial_logit_lupmfÚbinomial_lpmfÚbinomial_lupmfÚbinomial_rngÚblockÚcategorical_logit_glm_lpmfÚcategorical_logit_glm_lupmfÚcategorical_logit_lpmfÚcategorical_logit_lupmfÚcategorical_logit_rngÚcategorical_lpmfÚcategorical_lupmfÚcategorical_rngÚ
cauchy_cdfÚcauchy_lccdfÚcauchy_lcdfÚcauchy_lpdfÚcauchy_lupdfÚ
cauchy_rngÚcbrtÚceilÚchi_square_cdfÚchi_square_lccdfÚchi_square_lcdfÚchi_square_lpdfÚchi_square_lupdfÚchi_square_rngÚchol2invÚcholesky_decomposeÚchooseÚcolÚcolsÚcolumns_dot_productÚcolumns_dot_selfÚconjÚcosÚcoshÚcov_exp_quadÚ	crossprodÚcsr_extract_uÚcsr_extract_vÚcsr_extract_wÚcsr_matrix_times_vectorÚcsr_to_dense_matrixÚcumulative_sumÚdaeÚdae_tolÚdeterminantÚdiag_matrixÚdiag_post_multiplyÚdiag_pre_multiplyÚdiagonalÚdigammaÚdimsÚdirichlet_lpdfÚdirichlet_lupdfÚdirichlet_rngÚdiscrete_range_cdfÚdiscrete_range_lccdfÚdiscrete_range_lcdfÚdiscrete_range_lpmfÚdiscrete_range_lupmfÚdiscrete_range_rngÚdistanceÚdot_productÚdot_selfÚdouble_exponential_cdfÚdouble_exponential_lccdfÚdouble_exponential_lcdfÚdouble_exponential_lpdfÚdouble_exponential_lupdfÚdouble_exponential_rngÚeÚeigenvalues_symÚeigenvectors_symÚerfÚerfcÚexpÚexp2Úexp_mod_normal_cdfÚexp_mod_normal_lccdfÚexp_mod_normal_lcdfÚexp_mod_normal_lpdfÚexp_mod_normal_lupdfÚexp_mod_normal_rngÚexpm1Úexponential_cdfÚexponential_lccdfÚexponential_lcdfÚexponential_lpdfÚexponential_lupdfÚexponential_rngÚfabsÚfalling_factorialÚfdimÚfloorÚfmaÚfmaxÚfminÚfmodÚfrechet_cdfÚfrechet_lccdfÚfrechet_lcdfÚfrechet_lpdfÚfrechet_lupdfÚfrechet_rngÚ	gamma_cdfÚgamma_lccdfÚ
gamma_lcdfÚ
gamma_lpdfÚgamma_lupdfÚgamma_pÚgamma_qÚ	gamma_rngÚgaussian_dlm_obs_lpdfÚgaussian_dlm_obs_lupdfÚgeneralized_inverseÚget_imagÚget_lpÚget_realÚ
gumbel_cdfÚgumbel_lccdfÚgumbel_lcdfÚgumbel_lpdfÚgumbel_lupdfÚ
gumbel_rngÚheadÚhmm_hidden_state_probÚhmm_latent_rngÚhmm_marginalÚhypergeometric_lpmfÚhypergeometric_lupmfÚhypergeometric_rngÚhypotÚidentity_matrixÚinc_betaÚint_stepÚintegrate_1dÚintegrate_odeÚintegrate_ode_adamsÚintegrate_ode_bdfÚintegrate_ode_rk45ÚinvÚinv_chi_square_cdfÚinv_chi_square_lccdfÚinv_chi_square_lcdfÚinv_chi_square_lpdfÚinv_chi_square_lupdfÚinv_chi_square_rngÚinv_cloglogÚinv_erfcÚinv_gamma_cdfÚinv_gamma_lccdfÚinv_gamma_lcdfÚinv_gamma_lpdfÚinv_gamma_lupdfÚinv_gamma_rngÚ	inv_logitÚinv_PhiÚinv_sqrtÚ
inv_squareÚinv_wishart_lpdfÚinv_wishart_lupdfÚinv_wishart_rngÚinverseÚinverse_spdÚis_infÚis_nanÚ
lambert_w0Úlambert_wm1ÚlbetaÚlchooseÚldexpÚlgammaÚlinspaced_arrayÚlinspaced_int_arrayÚlinspaced_row_vectorÚlinspaced_vectorÚlkj_corr_cholesky_lpdfÚlkj_corr_cholesky_lupdfÚlkj_corr_cholesky_rngÚlkj_corr_lpdfÚlkj_corr_lupdfÚlkj_corr_rngÚlmgammaÚ	lmultiplyÚlogÚlog10Úlog1mÚ	log1m_expÚlog1m_inv_logitÚlog1pÚ	log1p_expÚlog2Úlog_determinantÚlog_diff_expÚlog_falling_factorialÚlog_inv_logitÚlog_inv_logit_diffÚlog_mixÚlog_modified_bessel_first_kindÚlog_rising_factorialÚlog_softmaxÚlog_sum_expÚlogistic_cdfÚlogistic_lccdfÚlogistic_lcdfÚlogistic_lpdfÚlogistic_lupdfÚlogistic_rngÚlogitÚloglogistic_cdfÚloglogistic_lpdfÚloglogistic_rngÚlognormal_cdfÚlognormal_lccdfÚlognormal_lcdfÚlognormal_lpdfÚlognormal_lupdfÚlognormal_rngÚmachine_precisionÚmap_rectÚ
matrix_expÚmatrix_exp_multiplyÚmatrix_powerÚmaxÚmdivide_left_spdÚmdivide_left_tri_lowÚmdivide_right_spdÚmdivide_right_tri_lowÚmeanÚminÚmodified_bessel_first_kindÚmodified_bessel_second_kindÚmulti_gp_cholesky_lpdfÚmulti_gp_cholesky_lupdfÚmulti_gp_lpdfÚmulti_gp_lupdfÚmulti_normal_cholesky_lpdfÚmulti_normal_cholesky_lupdfÚmulti_normal_cholesky_rngÚmulti_normal_lpdfÚmulti_normal_lupdfÚmulti_normal_prec_lpdfÚmulti_normal_prec_lupdfÚmulti_normal_rngÚmulti_student_t_lpdfÚmulti_student_t_lupdfÚmulti_student_t_rngÚmultinomial_logit_lpmfÚmultinomial_logit_lupmfÚmultinomial_logit_rngÚmultinomial_lpmfÚmultinomial_lupmfÚmultinomial_rngÚmultiply_logÚ!multiply_lower_tri_self_transposeÚneg_binomial_2_cdfÚneg_binomial_2_lccdfÚneg_binomial_2_lcdfÚneg_binomial_2_log_glm_lpmfÚneg_binomial_2_log_glm_lupmfÚneg_binomial_2_log_lpmfÚneg_binomial_2_log_lupmfÚneg_binomial_2_log_rngÚneg_binomial_2_lpmfÚneg_binomial_2_lupmfÚneg_binomial_2_rngÚneg_binomial_cdfÚneg_binomial_lccdfÚneg_binomial_lcdfÚneg_binomial_lpmfÚneg_binomial_lupmfÚneg_binomial_rngÚnegative_infinityÚnormÚ
normal_cdfÚnormal_id_glm_lpdfÚnormal_id_glm_lupdfÚnormal_lccdfÚnormal_lcdfÚnormal_lpdfÚnormal_lupdfÚ
normal_rngÚnot_a_numberÚnum_elementsÚ	ode_adamsÚode_adams_tolÚode_adjoint_tol_ctlÚode_bdfÚode_bdf_tolÚode_ckrkÚode_ckrk_tolÚode_rk45Úode_rk45_tolÚone_hot_arrayÚone_hot_int_arrayÚone_hot_row_vectorÚone_hot_vectorÚ
ones_arrayÚones_int_arrayÚones_row_vectorÚones_vectorÚordered_logistic_glm_lpmfÚordered_logistic_glm_lupmfÚordered_logistic_lpmfÚordered_logistic_lupmfÚordered_logistic_rngÚordered_probit_lpmfÚordered_probit_lupmfÚordered_probit_rngÚowens_tÚ
pareto_cdfÚpareto_lccdfÚpareto_lcdfÚpareto_lpdfÚpareto_lupdfÚ
pareto_rngÚpareto_type_2_cdfÚpareto_type_2_lccdfÚpareto_type_2_lcdfÚpareto_type_2_lpdfÚpareto_type_2_lupdfÚpareto_type_2_rngÚPhiÚ
Phi_approxÚpiÚpoisson_cdfÚpoisson_lccdfÚpoisson_lcdfÚpoisson_log_glm_lpmfÚpoisson_log_glm_lupmfÚpoisson_log_lpmfÚpoisson_log_lupmfÚpoisson_log_rngÚpoisson_lpmfÚpoisson_lupmfÚpoisson_rngÚpolarÚpositive_infinityÚpowr   ÚprodÚprojÚqr_QÚqr_RÚ	qr_thin_QÚ	qr_thin_RÚ	quad_formÚquad_form_diagÚquad_form_symÚquantileÚrankÚrayleigh_cdfÚrayleigh_lccdfÚrayleigh_lcdfÚrayleigh_lpdfÚrayleigh_lupdfÚrayleigh_rngÚ
reduce_sumr	   Ú	rep_arrayÚ
rep_matrixÚrep_row_vectorÚ
rep_vectorÚreverseÚrising_factorialÚroundÚrowÚrowsÚrows_dot_productÚrows_dot_selfÚscale_matrix_exp_multiplyÚscaled_inv_chi_square_cdfÚscaled_inv_chi_square_lccdfÚscaled_inv_chi_square_lcdfÚscaled_inv_chi_square_lpdfÚscaled_inv_chi_square_lupdfÚscaled_inv_chi_square_rngÚsdÚsegmentÚsinÚsingular_valuesÚsinhÚsizeÚskew_double_exponential_cdfÚskew_double_exponential_lccdfÚskew_double_exponential_lcdfÚskew_double_exponential_lpdfÚskew_double_exponential_lupdfÚskew_double_exponential_rngÚskew_normal_cdfÚskew_normal_lccdfÚskew_normal_lcdfÚskew_normal_lpdfÚskew_normal_lupdfÚskew_normal_rngÚsoftmaxÚsort_ascÚ	sort_descÚsort_indices_ascÚsort_indices_descÚsqrtÚsqrt2ÚsquareÚsquared_distanceÚstd_normal_cdfÚstd_normal_lccdfÚstd_normal_lcdfÚstd_normal_lpdfÚstd_normal_lupdfÚstd_normal_rngÚstepÚstudent_t_cdfÚstudent_t_lccdfÚstudent_t_lcdfÚstudent_t_lpdfÚstudent_t_lupdfÚstudent_t_rngÚsub_colÚsub_rowÚsumÚsvd_UÚsvd_VÚsymmetrize_from_lower_triÚtailÚtanÚtanhÚtargetÚ
tcrossprodÚtgammaÚto_array_1dÚto_array_2dÚ
to_complexÚ	to_matrixÚto_row_vectorÚ	to_vectorÚtraceÚtrace_gen_quad_formÚtrace_quad_formÚtrigammaÚtruncÚuniform_cdfÚuniform_lccdfÚuniform_lcdfÚuniform_lpdfÚuniform_lupdfÚuniform_rngÚuniform_simplexÚvarianceÚvon_mises_cdfÚvon_mises_lccdfÚvon_mises_lcdfÚvon_mises_lpdfÚvon_mises_lupdfÚvon_mises_rngÚweibull_cdfÚweibull_lccdfÚweibull_lcdfÚweibull_lpdfÚweibull_lupdfÚweibull_rngÚwiener_lpdfÚwiener_lupdfÚwishart_lpdfÚwishart_lupdfÚwishart_rngÚzeros_arrayÚzeros_int_arrayÚzeros_row_vector)?Ú	bernoulliÚbernoulli_logitÚbernoulli_logit_glmr9   Úbeta_binomialÚbinomialÚbinomial_logitÚcategoricalÚcategorical_logitÚcategorical_logit_glmÚcauchyÚ
chi_squareÚ	dirichletÚdiscrete_rangeÚdouble_exponentialÚexp_mod_normalÚexponentialÚfrechetÚgammaÚgaussian_dlm_obsÚgumbelÚhypergeometricÚinv_chi_squareÚ	inv_gammaÚinv_wishartÚlkj_corrÚlkj_corr_choleskyÚlogisticÚloglogisticÚ	lognormalÚmulti_gpÚmulti_gp_choleskyÚmulti_normalÚmulti_normal_choleskyÚmulti_normal_precÚmulti_student_tÚmultinomialÚmultinomial_logitÚneg_binomialÚneg_binomial_2Úneg_binomial_2_logÚneg_binomial_2_log_glmÚnormalÚnormal_id_glmÚordered_logisticÚordered_logistic_glmÚordered_probitÚparetoÚpareto_type_2ÚpoissonÚpoisson_logÚpoisson_log_glmÚrayleighÚscaled_inv_chi_squareÚskew_double_exponentialÚskew_normalÚ
std_normalÚ	student_tÚuniformÚ	von_misesÚweibullÚwienerÚwishart)ÚrepeatÚuntilÚthenÚtrueÚfalseÚvarÚstructÚtypedefÚexportÚautoÚexternrf  ÚstaticN)Ú__doc__ÚKEYWORDSÚTYPESÚ	FUNCTIONSÚDISTRIBUTIONSÚRESERVED© ó    ú^/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/pygments/lexers/_stan_builtins.pyú<module>rv     s:   ðð	ð 	ð€ð	€ð&J€	ðX@€ðD€€€rt  