In C++, heterogeneous lookups allow you to search for different types in a data structure without needing to convert them to a common type first. The `std::unordered_set` is a part of the C++ Standard Library and can be used to implement this feature effectively. You can store elements of different types in an `std::unordered_set` by using `std::any`, `std::variant`, or a custom type that can handle various types efficiently.
Here's an example demonstrating how to utilize heterogeneous lookup with `std::unordered_set` using `std::variant`.
#include <iostream>
#include <unordered_set>
#include <variant>
using VariantType = std::variant;
struct VariantHasher {
std::size_t operator()(const VariantType& v) const {
return std::visit([](auto&& arg) { return std::hash<:decay_t>>{}(arg); }, v);
}
};
struct VariantEqual {
bool operator()(const VariantType& lhs, const VariantType& rhs) const {
return lhs == rhs;
}
};
int main() {
std::unordered_set mySet;
mySet.insert(10);
mySet.insert(std::string("Hello"));
// Heterogeneous lookups
for (const auto& value : mySet) {
std::visit([](auto&& arg) { std::cout << arg << std::endl; }, value);
}
return 0;
}
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?