Implementation
final stan = Mode(
refs: {},
name: "Stan",
aliases: ["stanfuncs"],
keywords: {
"\$pattern": "[a-zA-Z]\\w*",
"title": [
"functions",
"model",
"data",
"parameters",
"quantities",
"transformed",
"generated"
],
"type": [
"array",
"complex",
"int",
"real",
"vector",
"ordered",
"positive_ordered",
"simplex",
"unit_vector",
"row_vector",
"matrix",
"cholesky_factor_corr|10",
"cholesky_factor_cov|10",
"corr_matrix|10",
"cov_matrix|10",
"void"
],
"keyword": [
"for",
"in",
"if",
"else",
"while",
"break",
"continue",
"return"
],
"built_in": [
"Phi",
"Phi_approx",
"abs",
"acos",
"acosh",
"add_diag",
"algebra_solver",
"algebra_solver_newton",
"append_array",
"append_col",
"append_row",
"asin",
"asinh",
"atan",
"atan2",
"atanh",
"bessel_first_kind",
"bessel_second_kind",
"binary_log_loss",
"binomial_coefficient_log",
"block",
"cbrt",
"ceil",
"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",
"determinant",
"diag_matrix",
"diag_post_multiply",
"diag_pre_multiply",
"diagonal",
"digamma",
"dims",
"distance",
"dot_product",
"dot_self",
"eigenvalues_sym",
"eigenvectors_sym",
"erf",
"erfc",
"exp",
"exp2",
"expm1",
"fabs",
"falling_factorial",
"fdim",
"floor",
"fma",
"fmax",
"fmin",
"fmod",
"gamma_p",
"gamma_q",
"generalized_inverse",
"get_imag",
"get_lp",
"get_real",
"head",
"hmm_hidden_state_prob",
"hmm_marginal",
"hypot",
"identity_matrix",
"inc_beta",
"int_step",
"integrate_1d",
"integrate_ode",
"integrate_ode_adams",
"integrate_ode_bdf",
"integrate_ode_rk45",
"inv",
"inv_Phi",
"inv_cloglog",
"inv_logit",
"inv_sqrt",
"inv_square",
"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",
"lmgamma",
"lmultiply",
"log",
"log1m",
"log1m_exp",
"log1m_inv_logit",
"log1p",
"log1p_exp",
"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",
"logit",
"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",
"multiply_log",
"multiply_lower_tri_self_transpose",
"negative_infinity",
"norm",
"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",
"owens_t",
"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",
"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",
"sd",
"segment",
"sin",
"singular_values",
"sinh",
"size",
"softmax",
"sort_asc",
"sort_desc",
"sort_indices_asc",
"sort_indices_desc",
"sqrt",
"square",
"squared_distance",
"step",
"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_simplex",
"variance",
"zeros_array",
"zeros_int_array",
"zeros_row_vector"
]
},
contains: [
C_LINE_COMMENT_MODE,
Mode(scope: "meta", begin: "#include\\b", end: "\$", contains: [
Mode(match: "[a-z][a-z-._]+", scope: "string"),
C_LINE_COMMENT_MODE
]),
HASH_COMMENT_MODE,
Mode(
scope: "comment",
begin: "\\/\\*",
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contains: [
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Mode(
scope: "doctag",
begin: "[ ]*(?=(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):)",
end: "(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):",
excludeBegin: true,
relevance: 0),
Mode(
begin:
"[ ]+((?:I|a|is|so|us|to|at|if|in|it|on|[A-Za-z]+['](d|ve|re|ll|t|s|n)|[A-Za-z]+[-][a-z]+|[A-Za-z][a-z]{2,})[.]?[:]?([.][ ]|[ ])){3}")
],
relevance: 0),
Mode(
scope: "built_in",
match: "\\s(pi|e|sqrt2|log2|log10)(?=\\()",
relevance: 0),
Mode(
match: "[<,]\\s*(?:lower|upper|offset|multiplier)\\s*=",
keywords: ["lower", "upper", "offset", "multiplier"]),
Mode(scope: "keyword", match: "\\btarget(?=\\s*\\+=)"),
Mode(match: [
"\\x7e\\s*",
"(?:bernoulli|bernoulli_logit|bernoulli_logit_glm|beta|beta_binomial|beta_proportion|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|hmm_latent|hypergeometric|inv_chi_square|inv_gamma|inv_wishart|lkj_corr|lkj_corr_cholesky|logistic|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)",
"(?:\\(\\))",
"\\s*T(?=\\s*\\[)"
], scope: {
"2": "built_in",
"4": "keyword"
}),
Mode(
scope: "built_in",
keywords: [
"bernoulli",
"bernoulli_logit",
"bernoulli_logit_glm",
"beta",
"beta_binomial",
"beta_proportion",
"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",
"hmm_latent",
"hypergeometric",
"inv_chi_square",
"inv_gamma",
"inv_wishart",
"lkj_corr",
"lkj_corr_cholesky",
"logistic",
"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"
],
begin:
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Mode(begin: [
"\\x7e",
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"(?:bernoulli|bernoulli_logit|bernoulli_logit_glm|beta|beta_binomial|beta_proportion|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|hmm_latent|hypergeometric|inv_chi_square|inv_gamma|inv_wishart|lkj_corr|lkj_corr_cholesky|logistic|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)(?=\\s*[\\(.*\\)])"
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Mode(begin: [
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], scope: {
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Mode(
scope: "title.function",
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Mode(
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match:
"(?:\\b\\d+(?:_\\d+)*(?:\\.(?:\\d+(?:_\\d+)*)?)?|\\B\\.\\d+(?:_\\d+)*)(?:[eE][+-]?\\d+(?:_\\d+)*)?i?(?!\\w)",
relevance: 0),
Mode(scope: "string", begin: "\"", end: "\"")
]);
