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

In C++, std::span can be utilized for heterogeneous lookup, allowing you to work with collections of different types or structures in a more flexible manner. This feature is particularly useful in scenarios where you need to operate on disparate data types without creating lengthy type-checking logic. Below is an example demonstrating how to use std::span for heterogeneous lookup.

To achieve this, you can leverage polymorphism or templates to access different types within a std::span.

#include #include #include #include using namespace std; // Define a variant type that can hold different types using VariantType = std::variant; void printVariants(std::span span) { for (const auto& var : span) { std::visit([](const auto& value) { std::cout << value << ' '; }, var); } std::cout << std::endl; } int main() { std::vector vec = { 1, 3.14, "Hello" }; std::span span(vec.data(), vec.size()); printVariants(span); // Outputs: 1 3.14 Hello return 0; }

C++ std::span heterogeneous lookup polymorphism variant type flexible data handling templated functions

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?