#ifndef RFL_PARSING_PARSER_SPAN_HPP_ #define RFL_PARSING_PARSER_SPAN_HPP_ #include #include #include #include #include #include #include "../Result.hpp" #include "../always_false.hpp" #include "Parent.hpp" #include "Parser_base.hpp" #include "schema/Type.hpp" namespace rfl::parsing { template requires AreReaderAndWriter> struct Parser, ProcessorsType> { using InputVarType = typename R::InputVarType; using ParentType = Parent; static Result> read(const R& _r, const InputVarType& _var) noexcept { if constexpr (!ProcessorsType::allow_raw_ptrs_) { static_assert( always_false_v, "Reading into std::span is dangerous and " "therefore unsupported. " "Please consider using std::vector instead or wrapping " "std::vector in rfl::Box or rfl::Ref." "If you absolutely must use std::span, " "you can pass the rfl::AllowRawPtrs processor. " "Please note that it is then YOUR responsibility " "to delete the allocated memory. Please also refer " "to the related documentation (in the section on processors)."); return error("Unsupported."); } else { return Parser>, ProcessorsType>::read(_r, _var) .and_then([](std::vector&& _vec) -> Result> { using Type = std::remove_cvref_t; Type* data = new (std::nothrow) Type[_vec.size()]; if (!data) { return error("Failed to allocate memory for std::span."); } for (size_t i = 0; i < _vec.size(); ++i) { data[i] = std::move(_vec[i]); } return std::span(data, data + _vec.size()); }); } } template static void write(const W& _w, const std::span& _span, const P& _parent) { auto arr = ParentType::add_array(_w, _span.size(), _parent); const auto new_parent = typename ParentType::Array{&arr}; for (const auto& v : _span) { Parser, ProcessorsType>::write(_w, v, new_parent); } _w.end_array(&arr); } static schema::Type to_schema( std::map* _definitions) { return Parser>, ProcessorsType>::to_schema(_definitions); } }; } // namespace rfl::parsing #endif