In C++, you can compose pipelines with views using the ranges library, which allows for more readable and efficient code when processing collections. This is achieved by chaining together various views to transform the data as it flows through the pipeline.
// Example of composing pipelines with views in C++
#include <iostream>
#include <vector>
#include <ranges>
int main() {
std::vector nums = {1, 2, 3, 4, 5};
auto result = nums
| std::views::transform([](int n) { return n * n; }) // Square each number
| std::views::filter([](int n) { return n > 5; }); // Filter numbers greater than 5
for (int n : result) {
std::cout << n << ' '; // Outputs: 9 16 25
}
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?