Combining multiple projection functions for a single algorithm in C++ is possible but requires careful design.
While standard algorithms typically accept a single projection function, you can chain projections or compose them to achieve the desired result.
You can chain projections by having one projection call another. Here's an example where we sort Player
objects first by Level
and then by Name
:
#include <vector>
#include <iostream>
#include <algorithm>
struct Player {
std::string Name;
int Level;
};
int main() {
std::vector<Player> Party {
{"Legolas", 49},
{"Gimli", 47},
{"Gandalf", 49},
{"Aragorn", 47}
};
std::ranges::sort(Party, {}, [](const Player& P) {
return std::tie(P.Level, P.Name);
});
for (const auto& P : Party) {
std::cout << "[" << P.Level << "] "
<< P.Name << "\n";
}
}
[47] Aragorn
[47] Gimli
[49] Gandalf
[49] Legolas
In this example, the projection function returns a std::tie
of Level
and Name
, allowing std::ranges::sort()
to sort by both criteria.
You can create higher-order functions that compose multiple projection functions. Here’s an example:
#include <vector>
#include <iostream>
#include <algorithm>
#include <tuple>
struct Player {
std::string Name;
int Level;
};
template<typename F1, typename F2>
auto compose(F1 f1, F2 f2) {
return [f1, f2](const auto& x) {
return std::make_tuple(f1(x), f2(x));
};
}
int main() {
std::vector<Player> Party {
{"Legolas", 49},
{"Gimli", 47},
{"Gandalf", 49},
{"Aragorn", 47}
};
auto projection = compose(
[](const Player& P) { return P.Level; },
[](const Player& P) { return P.Name; }
);
std::ranges::sort(Party, {}, projection);
for (const auto& P : Party) {
std::cout << "[" << P.Level << "] "
<< P.Name << "\n";
}
}
[47] Aragorn
[47] Gimli
[49] Gandalf
[49] Legolas
std::tie
or similar constructs to chain projections within a single function.Combining projections can provide powerful and flexible sorting and transformation capabilities in your algorithms, allowing you to handle complex sorting criteria effectively.
Answers to questions are automatically generated and may not have been reviewed.
Learn how to use projection functions to apply range-based algorithms on derived data