How do I use heterogeneous lookup with std::forward_list?

In C++, heterogeneous lookup is a powerful feature that allows you to access elements of different types in a container, like `std::forward_list`. This flexibility is useful when managing collections of various object types through a common interface.

Understanding std::forward_list

`std::forward_list` is a singly linked list that allows for efficient insertions and deletions from the front. It is part of the C++ Standard Library and provides a lightweight, generic approach to manage sequential collections of data.

Example of Heterogeneous Lookup Using std::forward_list

In this example, we will demonstrate how to use `std::forward_list` to store and retrieve different types of objects using heterogeneous lookup.

#include #include #include // A variant type that can hold either int or std::string using HeterogeneousType = std::variant; int main() { std::forward_list flist; // Adding elements of different types flist.push_front(42); // int flist.push_front("Hello, World!"); // string flist.push_front(99); // int // Iterating through the list to perform heterogeneous lookup for (const auto& element : flist) { std::visit([](auto&& arg){ std::cout << arg << std::endl; }, element); } return 0; }

C++ std::forward_list heterogeneous lookup variant C++ Standard Library

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?