499 lines
9.2 KiB
Python
499 lines
9.2 KiB
Python
# -*- coding: utf-8 -*-
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"""
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pygments.lexers._stan_builtins
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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This file contains the names of functions for Stan used by
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``pygments.lexers.math.StanLexer. This is for Stan language version 2.4.0.
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:copyright: Copyright 2006-2014 by the Pygments team, see AUTHORS.
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:license: BSD, see LICENSE for details.
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"""
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KEYWORDS = (
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'else',
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'for',
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'if',
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'in',
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'increment_log_prob',
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'lp__',
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'print',
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'return',
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'while',
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)
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TYPES = (
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'cholesky_factor_corr',
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'cholesky_factor_cov',
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'corr_matrix',
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'cov_matrix',
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'int',
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'matrix',
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'ordered',
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'positive_ordered',
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'real',
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'row_vector',
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'simplex',
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'unit_vector',
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'vector',
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'void',
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)
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FUNCTIONS = (
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'Phi',
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'Phi_approx',
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'abs',
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'acos',
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'acosh',
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'asin',
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'asinh',
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'atan',
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'atan2',
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'atanh',
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'bernoulli_ccdf_log',
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'bernoulli_cdf',
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'bernoulli_cdf_log',
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'bernoulli_log',
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'bernoulli_logit_log',
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'bernoulli_rng',
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'bessel_first_kind',
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'bessel_second_kind',
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'beta_binomial_ccdf_log',
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'beta_binomial_cdf',
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'beta_binomial_cdf_log',
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'beta_binomial_log',
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'beta_binomial_rng',
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'beta_ccdf_log',
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'beta_cdf',
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'beta_cdf_log',
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'beta_log',
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'beta_rng',
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'binary_log_loss',
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'binomial_ccdf_log',
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'binomial_cdf',
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'binomial_cdf_log',
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'binomial_coefficient_log',
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'binomial_log',
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'binomial_logit_log',
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'binomial_rng',
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'block',
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'categorical_log',
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'categorical_logit_log',
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'categorical_rng',
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'cauchy_ccdf_log',
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'cauchy_cdf',
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'cauchy_cdf_log',
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'cauchy_log',
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'cauchy_rng',
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'cbrt',
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'ceil',
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'chi_square_ccdf_log',
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'chi_square_cdf',
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'chi_square_cdf_log',
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'chi_square_log',
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'chi_square_rng',
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'cholesky_decompose',
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'col',
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'cols',
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'columns_dot_product',
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'columns_dot_self',
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'cos',
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'cosh',
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'crossprod',
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'cumulative_sum',
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'determinant',
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'diag_matrix',
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'diag_post_multiply',
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'diag_pre_multiply',
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'diagonal',
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'digamma',
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'dims',
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'dirichlet_log',
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'dirichlet_rng',
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'distance',
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'dot_product',
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'dot_self',
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'double_exponential_ccdf_log',
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'double_exponential_cdf',
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'double_exponential_cdf_log',
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'double_exponential_log',
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'double_exponential_rng',
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'e',
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'eigenvalues_sym',
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'eigenvectors_sym',
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'erf',
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'erfc',
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'exp',
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'exp2',
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'exp_mod_normal_ccdf_log',
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'exp_mod_normal_cdf',
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'exp_mod_normal_cdf_log',
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'exp_mod_normal_log',
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'exp_mod_normal_rng',
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'expm1',
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'exponential_ccdf_log',
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'exponential_cdf',
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'exponential_cdf_log',
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'exponential_log',
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'exponential_rng',
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'fabs',
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'falling_factorial',
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'fdim',
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'floor',
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'fma',
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'fmax',
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'fmin',
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'fmod',
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'gamma_ccdf_log',
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'gamma_cdf',
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'gamma_cdf_log',
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'gamma_log',
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'gamma_p',
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'gamma_q',
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'gamma_rng',
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'gaussian_dlm_obs_log',
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'gumbel_ccdf_log',
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'gumbel_cdf',
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'gumbel_cdf_log',
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'gumbel_log',
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'gumbel_rng',
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'head',
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'hypergeometric_log',
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'hypergeometric_rng',
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'hypot',
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'if_else',
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'int_step',
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'inv',
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'inv_chi_square_ccdf_log',
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'inv_chi_square_cdf',
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'inv_chi_square_cdf_log',
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'inv_chi_square_log',
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'inv_chi_square_rng',
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'inv_cloglog',
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'inv_gamma_ccdf_log',
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'inv_gamma_cdf',
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'inv_gamma_cdf_log',
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'inv_gamma_log',
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'inv_gamma_rng',
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'inv_logit',
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'inv_sqrt',
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'inv_square',
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'inv_wishart_log',
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'inv_wishart_rng',
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'inverse',
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'inverse_spd',
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'lbeta',
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'lgamma',
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'lkj_corr_cholesky_log',
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'lkj_corr_cholesky_rng',
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'lkj_corr_log',
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'lkj_corr_rng',
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'lkj_cov_log',
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'lmgamma',
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'log',
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'log10',
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'log1m',
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'log1m_exp',
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'log1m_inv_logit',
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'log1p',
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'log1p_exp',
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'log2',
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'log_determinant',
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'log_diff_exp',
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'log_falling_factorial',
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'log_inv_logit',
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'log_rising_factorial',
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'log_softmax',
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'log_sum_exp',
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'logistic_ccdf_log',
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'logistic_cdf',
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'logistic_cdf_log',
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'logistic_log',
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'logistic_rng',
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'logit',
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'lognormal_ccdf_log',
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'lognormal_cdf',
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'lognormal_cdf_log',
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'lognormal_log',
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'lognormal_rng',
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'machine_precision',
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'max',
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'mdivide_left_tri_low',
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'mdivide_right_tri_low',
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'mean',
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'min',
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'modified_bessel_first_kind',
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'modified_bessel_second_kind',
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'multi_gp_log',
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'multi_normal_cholesky_log',
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'multi_normal_cholesky_rng',
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'multi_normal_log',
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'multi_normal_prec_log',
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'multi_normal_rng',
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'multi_student_t_log',
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'multi_student_t_rng',
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'multinomial_log',
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'multinomial_rng',
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'multiply_log',
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'multiply_lower_tri_self_transpose',
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'neg_binomial_2_log',
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'neg_binomial_2_log_log',
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'neg_binomial_2_log_rng',
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'neg_binomial_2_rng',
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'neg_binomial_ccdf_log',
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'neg_binomial_cdf',
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'neg_binomial_cdf_log',
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'neg_binomial_log',
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'neg_binomial_rng',
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'negative_infinity',
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'normal_ccdf_log',
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'normal_cdf',
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'normal_cdf_log',
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'normal_log',
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'normal_rng',
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'not_a_number',
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'ordered_logistic_log',
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'ordered_logistic_rng',
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'owens_t',
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'pareto_ccdf_log',
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'pareto_cdf',
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'pareto_cdf_log',
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'pareto_log',
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'pareto_rng',
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'pi',
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'poisson_ccdf_log',
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'poisson_cdf',
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'poisson_cdf_log',
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'poisson_log',
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'poisson_log_log',
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'poisson_rng',
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'positive_infinity',
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'pow',
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'prod',
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'qr_Q',
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'qr_R',
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'quad_form',
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'quad_form_diag',
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'quad_form_sym',
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'rank',
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'rayleigh_ccdf_log',
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'rayleigh_cdf',
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'rayleigh_cdf_log',
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'rayleigh_log',
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'rayleigh_rng',
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'rep_array',
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'rep_matrix',
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'rep_row_vector',
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'rep_vector',
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'rising_factorial',
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'round',
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'row',
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'rows',
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'rows_dot_product',
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'rows_dot_self',
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'scaled_inv_chi_square_ccdf_log',
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'scaled_inv_chi_square_cdf',
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'scaled_inv_chi_square_cdf_log',
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'scaled_inv_chi_square_log',
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'scaled_inv_chi_square_rng',
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'sd',
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'segment',
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'sin',
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'singular_values',
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'sinh',
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'size',
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'skew_normal_ccdf_log',
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'skew_normal_cdf',
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'skew_normal_cdf_log',
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'skew_normal_log',
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'skew_normal_rng',
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'softmax',
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'sort_asc',
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'sort_desc',
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'sort_indices_asc',
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'sort_indices_desc',
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'sqrt',
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'sqrt2',
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'square',
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'squared_distance',
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'step',
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'student_t_ccdf_log',
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'student_t_cdf',
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'student_t_cdf_log',
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'student_t_log',
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'student_t_rng',
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'sub_col',
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'sub_row',
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'sum',
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'tail',
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'tan',
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'tanh',
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'tcrossprod',
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'tgamma',
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'to_array_1d',
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'to_array_2d',
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'to_matrix',
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'to_row_vector',
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'to_vector',
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'trace',
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'trace_gen_quad_form',
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'trace_quad_form',
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'trigamma',
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'trunc',
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'uniform_ccdf_log',
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'uniform_cdf',
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'uniform_cdf_log',
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'uniform_log',
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'uniform_rng',
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'variance',
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'von_mises_log',
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'von_mises_rng',
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'weibull_ccdf_log',
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'weibull_cdf',
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'weibull_cdf_log',
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'weibull_log',
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'weibull_rng',
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'wishart_log',
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'wishart_rng',
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)
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DISTRIBUTIONS = (
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'bernoulli',
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'bernoulli_logit',
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'beta',
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'beta_binomial',
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'binomial',
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'binomial_logit',
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'categorical',
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'categorical_logit',
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'cauchy',
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'chi_square',
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'dirichlet',
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'double_exponential',
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'exp_mod_normal',
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'exponential',
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'gamma',
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'gaussian_dlm_obs',
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'gumbel',
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'hypergeometric',
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'inv_chi_square',
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'inv_gamma',
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'inv_wishart',
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'lkj_corr',
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'lkj_corr_cholesky',
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'lkj_cov',
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'logistic',
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'lognormal',
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'multi_gp',
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'multi_normal',
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'multi_normal_cholesky',
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'multi_normal_prec',
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'multi_student_t',
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'multinomial',
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'neg_binomial',
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'neg_binomial_2',
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'neg_binomial_2_log',
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'normal',
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'ordered_logistic',
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'pareto',
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'poisson',
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'poisson_log',
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'rayleigh',
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'scaled_inv_chi_square',
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'skew_normal',
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'student_t',
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'uniform',
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'von_mises',
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'weibull',
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'wishart',
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)
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RESERVED = (
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'alignas',
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'alignof',
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'and',
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'and_eq',
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'asm',
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'auto',
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'bitand',
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'bitor',
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'bool',
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'break',
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'case',
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'catch',
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'char',
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'char16_t',
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'char32_t',
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'class',
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'compl',
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'const',
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'const_cast',
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'constexpr',
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'continue',
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'decltype',
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'default',
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'delete',
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'do',
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'double',
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'dynamic_cast',
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'enum',
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'explicit',
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'export',
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'extern',
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'false',
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'false',
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'float',
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'friend',
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'fvar',
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'goto',
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'inline',
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'int',
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'long',
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'mutable',
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'namespace',
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'new',
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'noexcept',
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'not',
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'not_eq',
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'nullptr',
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'operator',
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'or',
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'or_eq',
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'private',
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'protected',
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'public',
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'register',
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'reinterpret_cast',
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'repeat',
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'short',
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'signed',
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'sizeof',
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'static',
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'static_assert',
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'static_cast',
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'struct',
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'switch',
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'template',
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'then',
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'this',
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'thread_local',
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'throw',
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'true',
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'true',
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'try',
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'typedef',
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'typeid',
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'typename',
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'union',
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'unsigned',
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'until',
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'using',
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'var',
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'virtual',
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'void',
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'volatile',
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'wchar_t',
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'xor',
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'xor_eq',
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)
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