1#ifndef STAN_MATH_PRIM_FUN_AS_ARRAY_OR_SCALAR_HPP
2#define STAN_MATH_PRIM_FUN_AS_ARRAY_OR_SCALAR_HPP
18template <
typename T, require_stan_scalar_t<T>* =
nullptr>
20 return std::forward<T>(v);
30template <
typename T, require_stan_scalar_t<T>* =
nullptr>
42template <
typename T, require_eigen_array_t<T>* =
nullptr>
44 return std::forward<T>(v);
54template <
typename T,
typename = require_eigen_t<T>,
55 require_not_eigen_array_t<T>* =
nullptr>
57 return make_holder([](
auto&& x) {
return x.array(); }, std::forward<T>(v));
73template <
typename T, require_std_vector_t<T>* =
nullptr,
74 require_not_std_vector_t<value_type_t<T>>* =
nullptr>
76 using arr_t = Eigen::Array<value_type_t<T>, Eigen::Dynamic, 1>;
77 using T_map = Eigen::Map<const arr_t>;
79 [](
auto&& x) {
return T_map(x.data(), x.size()).matrix().array(); },
90template <
typename T, require_std_vector_vt<is_std_vector, T>* =
nullptr,
91 require_std_vector_vt<is_stan_scalar, value_type_t<T>>* =
nullptr>
93 Eigen::Array<scalar_type_t<T>, -1, -1> ret(v.size(), v[0].size());
94 for (
size_t i = 0; i < v.size(); ++i) {
95 ret.row(i) = Eigen::Map<const Eigen::Array<scalar_type_t<T>, 1, -1>>(
96 v[i].data(), v[i].size());
T as_array_or_scalar(T &&v)
Returns specified input value.
auto make_holder(F &&func, Args &&... args)
Calls given function with given arguments.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...