image-match/python/py/Lib/site-packages/pygments/lexers/_stan_builtins.py

"""
    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 2.36.0.

    :copyright: Copyright 2006-present by the Pygments team, see AUTHORS.
    :license: BSD, see LICENSE for details.
"""

KEYWORDS = (
    'break',
    'continue',
    'else',
    'for',
    'if',
    'in',
    'print',
    'reject',
    'return',
    'while',
    'fatal_error',
    'target'
)

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',
    'complex_vector',
    'complex_matrix',
    'complex_row_vector',
    'corr_matrix',
    'cholesky_factor_corr',
    'column_stochastic_matrix',
    'row_stochastic_matrix',
    'sum_to_zero_vector',
    'sum_to_zero_matrix'
)

FUNCTIONS = (
    'Phi',
    'Phi_approx',
    '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_neg_binomial_cdf',
    'beta_neg_binomial_lccdf',
    'beta_neg_binomial_lcdf',
    'beta_neg_binomial_lpmf',
    'beta_neg_binomial_lupmf',
    'beta_neg_binomial_rng',
    'beta_proportion_lccdf',
    'beta_proportion_lcdf',
    'beta_proportion_rng',
    'beta_rng',
    'binary_log_loss',
    'binomial_cdf',
    'binomial_lccdf',
    'binomial_lcdf',
    'binomial_logit_glm_lpmf',
    'binomial_logit_glm_lupmf',
    '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',
    'cholesky_factor_corr_constrain',
    'cholesky_factor_corr_jacobian',
    'cholesky_factor_corr_unconstrain',
    'cholesky_factor_cov_constrain',
    'cholesky_factor_cov_jacobian',
    'cholesky_factor_cov_unconstrain',
    'choose',
    'col',
    'cols',
    'columns_dot_product',
    'columns_dot_self',
    'complex_schur_decompose',
    'complex_schur_decompose_t',
    'complex_schur_decompose_u',
    'conj',
    'corr_matrix_constrain',
    'corr_matrix_jacobian',
    'corr_matrix_unconstrain',
    'cos',
    'cosh',
    'cov_exp_quad',
    'cov_matrix_constrain',
    'cov_matrix_jacobian',
    'cov_matrix_unconstrain',
    'crossprod',
    'csr_extract',
    '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_multinomial_lpmf',
    'dirichlet_multinomial_lupmf',
    'dirichlet_multinomial_rng',
    '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',
    'eigendecompose',
    'eigendecompose_sym',
    'eigenvalues',
    'eigenvalues_sym',
    'eigenvectors',
    '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',
    'falling_factorial',
    'fdim',
    'fft',
    'fft2',
    '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_real',
    'gp_dot_prod_cov',
    'gp_exp_quad_cov',
    'gp_exponential_cov',
    'gp_matern23_cov',
    'gp_matern52_cov',
    'gp_periodic_cov',
    'gumbel_cdf',
    'gumbel_lccdf',
    'gumbel_lcdf',
    'gumbel_lpdf',
    'gumbel_lupdf',
    'gumbel_rng',
    'head',
    'hmm_hidden_state_prob',
    'hmm_latent_rng',
    'hmm_marginal',
    'hypergeometric_1F0',
    'hypergeometric_2F1',
    'hypergeometric_3F2',
    'hypergeometric_lpmf',
    'hypergeometric_lupmf',
    'hypergeometric_pFq',
    'hypergeometric_rng',
    'hypot',
    'identity_matrix',
    'inc_beta',
    'int_step',
    'integrate_1d',
    'integrate_ode',
    'integrate_ode_adams',
    'integrate_ode_bdf',
    'integrate_ode_rk45',
    'inv',
    'inv_Phi',
    '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_fft',
    'inv_fft2',
    'inv_gamma_cdf',
    'inv_gamma_lccdf',
    'inv_gamma_lcdf',
    'inv_gamma_lpdf',
    'inv_gamma_lupdf',
    'inv_gamma_rng',
    'inv_inc_beta',
    'inv_logit',
    'inv_sqrt',
    'inv_square',
    'inv_wishart_cholesky_lpdf',
    'inv_wishart_cholesky_lupdf',
    'inv_wishart_cholesky_rng',
    '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',
    'lower_bound_constrain',
    'lower_bound_jacobian',
    'lower_bound_unconstrain',
    'lower_upper_bound_constrain',
    'lower_upper_bound_jacobian',
    'lower_upper_bound_unconstrain',
    '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_cholesky_t_rng',
    'multi_student_t_cholesky_lpdf',
    'multi_student_t_cholesky_lupdf',
    'multi_student_t_cholesky_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_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',
    'norm1',
    'norm2',
    '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',
    'offset_multiplier_constrain',
    'offset_multiplier_jacobian',
    'offset_multiplier_unconstrain',
    '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_constrain',
    'ordered_jacobian',
    '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',
    'ordered_unconstrain',
    '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',
    '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',
    'positive_ordered_constrain',
    'positive_ordered_jacobian',
    'positive_ordered_unconstrain',
    'pow',
    'prod',
    'proj',
    'qr',
    'qr_Q',
    'qr_R',
    'qr_thin',
    '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',
    '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',
    'simplex_constrain',
    'simplex_jacobian',
    'simplex_unconstrain',
    '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',
    'solve_newton',
    'solve_newton_tol',
    'solve_powell',
    'solve_powell_tol',
    '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_log_qf',
    'std_normal_lpdf',
    'std_normal_lupdf',
    'std_normal_qf',
    'std_normal_rng',
    'step',
    'stochastic_column_constrain',
    'stochastic_column_jacobian',
    'stochastic_column_unconstrain',
    'stochastic_row_constrain',
    'stochastic_row_jacobian',
    'stochastic_row_unconstrain',
    'student_t_cdf',
    'student_t_lccdf',
    'student_t_lcdf',
    'student_t_lpdf',
    'student_t_lupdf',
    'student_t_rng',
    'sub_col',
    'sub_row',
    'sum',
    'sum_to_zero_constrain',
    'sum_to_zero_jacobian',
    'sum_to_zero_unconstrain',
    'svd',
    'svd_U',
    'svd_V',
    'symmetrize_from_lower_tri',
    'tail',
    'tan',
    'tanh',
    'target',
    'tcrossprod',
    'tgamma',
    'to_array_1d',
    'to_array_2d',
    'to_complex',
    'to_int',
    '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',
    'unit_vectors_constrain',
    'unit_vectors_jacobian',
    'unit_vectors_unconstrain',
    'upper_bound_constrain',
    'upper_bound_jacobian',
    'upper_bound_unconstrain',
    '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_cholesky_lpdf',
    'wishart_cholesky_lupdf',
    'wishart_cholesky_rng',
    'wishart_lpdf',
    'wishart_lupdf',
    'wishart_rng',
    'zeros_array',
    'zeros_int_array',
    'zeros_row_vector',
    'zeros_vector'
)

DISTRIBUTIONS = (
    'bernoulli',
    'bernoulli_logit',
    'bernoulli_logit_glm',
    'beta',
    'beta_binomial',
    'beta_neg_binomial',
    'binomial',
    'binomial_logit',
    'binomial_logit_glm',
    'categorical',
    'categorical_logit',
    'categorical_logit_glm',
    'cauchy',
    'chi_square',
    'dirichlet',
    'dirichlet_multinomial',
    'discrete_range',
    'double_exponential',
    'exp_mod_normal',
    'exponential',
    'frechet',
    'gamma',
    'gaussian_dlm_obs',
    'gumbel',
    'hypergeometric',
    'inv_chi_square',
    'inv_gamma',
    'inv_wishart',
    'inv_wishart_cholesky',
    'lkj_corr',
    'lkj_corr_cholesky',
    'logistic',
    'loglogistic',
    'lognormal',
    'multi_gp',
    'multi_gp_cholesky',
    'multi_normal',
    'multi_normal_cholesky',
    'multi_normal_prec',
    'multi_student_t',
    'multi_student_t_cholesky',
    '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',
    'wishart_cholesky'
)

RESERVED = (
    'repeat',
    'until',
    'then',
    'true',
    'false',
    'var',
    'struct',
    'typedef',
    'export',
    'auto',
    'extern',
    'var',
    'static',
)