Lære Transforming Collections | Functional Utilities in Practice

When you need to process or modify every element in a collection, transformation patterns offer a concise and efficient way to express your intent. Instead of writing explicit loops, you can use standard algorithms like std::transform combined with lambda expressions to apply operations to each element. This approach makes your code more readable, reduces boilerplate, and helps prevent errors. By separating the "what" (the transformation logic) from the "how" (iteration), you gain flexibility and clarity, especially when working with large or complex collections. Transformations are fundamental in functional programming and are widely used for tasks such as mapping, normalization, or preparing data for further processing.

main.cpp


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#include <iostream>
#include <vector>
#include <algorithm>

int main() {
    std::vector<int> numbers{1, 2, 3, 4, 5};
    std::vector<int> squared(numbers.size());

    std::transform(
        numbers.begin(), numbers.end(),
        squared.begin(),
        [](int x) { return x * x; }
    );

    std::cout << "Squared numbers: ";
    for (const auto& n : squared) {
        std::cout << n << " ";
    }
    std::cout << std::endl;
    return 0;
}

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Can you give an example of using std::transform with a lambda?

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main.cpp


              12345678910111213141516171819202122
            
#include <iostream>
#include <vector>
#include <algorithm>

int main() {
    std::vector<int> numbers{1, 2, 3, 4, 5};
    std::vector<int> squared(numbers.size());

    std::transform(
        numbers.begin(), numbers.end(),
        squared.begin(),
        [](int x) { return x * x; }
    );

    std::cout << "Squared numbers: ";
    for (const auto& n : squared) {
        std::cout << n << " ";
    }
    std::cout << std::endl;
    return 0;
}

Var alt klart?

Tak for dine kommentarer!

Sektion 4. Kapitel 1