Home Backend Development C++ Detailed explanation of the friend mechanism of C++ functions

Detailed explanation of the friend mechanism of C++ functions

Apr 18, 2024 am 11:15 AM
c++ Friend mechanism

C The friend mechanism allows non-member functions or classes to access private or protected members of other classes to achieve the following purposes: Allow non-member functions to access private members Allow member functions to access private members of other classes Allow class member functions to access another class Private members of a class

C++ 函数的友元机制详解

Detailed explanation of the friend mechanism of C functions

The friend mechanism is a method that allows functions or classes to access other Characteristics of private or protected members of a class or function. In C, the friend mechanism can achieve the following purposes:

  • Allow non-member functions to access private members of a class
  • Allow member functions of a class to access private members of another class

Syntax

  • Global function friend declaration:

    friend 返回值类型 函数名(参数列表);
    Copy after login
  • Class friend declaration:

    friend class 类名;
    Copy after login
  • Class member function friend declaration:

    friend 返回值类型 类名::成员函数名(参数列表);
    Copy after login

Practical case:

Problem: Design a Point class, which has private members x and y , and there is a print() function that prints all private members. Now, we want an additional printInfo() function that can access the private members of the Point class and print them.

Implementation:

// Point 类
class Point {
private:
    int x;
    int y;

public:
    // 友元函数,可以访问 Point 类的私有成员
    friend void printInfo(Point& point);

    // Point 类的成员函数
    void print() {
        std::cout << "x: " << x << ", y: " << y << std::endl;
    }
};

// 全局友元函数,可以访问 Point 类的私有成员
void printInfo(Point& point) {
    std::cout << "x: " << point.x << ", y: " << point.y << std::endl;
}

int main() {
    Point point{10, 20};
    point.print();  // 输出:x: 10, y: 20
    printInfo(point);  // 输出:x: 10, y: 20
    return 0;
}
Copy after login

The above is the detailed content of Detailed explanation of the friend mechanism of C++ functions. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Concurrency-safe design of data structures in C++ concurrent programming? Concurrency-safe design of data structures in C++ concurrent programming? Jun 05, 2024 am 11:00 AM

In C++ concurrent programming, the concurrency-safe design of data structures is crucial: Critical section: Use a mutex lock to create a code block that allows only one thread to execute at the same time. Read-write lock: allows multiple threads to read at the same time, but only one thread to write at the same time. Lock-free data structures: Use atomic operations to achieve concurrency safety without locks. Practical case: Thread-safe queue: Use critical sections to protect queue operations and achieve thread safety.

C++ object layout is aligned with memory to optimize memory usage efficiency C++ object layout is aligned with memory to optimize memory usage efficiency Jun 05, 2024 pm 01:02 PM

C++ object layout and memory alignment optimize memory usage efficiency: Object layout: data members are stored in the order of declaration, optimizing space utilization. Memory alignment: Data is aligned in memory to improve access speed. The alignas keyword specifies custom alignment, such as a 64-byte aligned CacheLine structure, to improve cache line access efficiency.

How to implement the Strategy Design Pattern in C++? How to implement the Strategy Design Pattern in C++? Jun 06, 2024 pm 04:16 PM

The steps to implement the strategy pattern in C++ are as follows: define the strategy interface and declare the methods that need to be executed. Create specific strategy classes, implement the interface respectively and provide different algorithms. Use a context class to hold a reference to a concrete strategy class and perform operations through it.

How to implement a custom comparator in C++ STL? How to implement a custom comparator in C++ STL? Jun 05, 2024 am 11:50 AM

Implementing a custom comparator can be accomplished by creating a class that overloads operator(), which accepts two parameters and indicates the result of the comparison. For example, the StringLengthComparator class sorts strings by comparing their lengths: Create a class and overload operator(), returning a Boolean value indicating the comparison result. Using custom comparators for sorting in container algorithms. Custom comparators allow us to sort or compare data based on custom criteria, even if we need to use custom comparison criteria.

Similarities and Differences between Golang and C++ Similarities and Differences between Golang and C++ Jun 05, 2024 pm 06:12 PM

Golang and C++ are garbage collected and manual memory management programming languages ​​respectively, with different syntax and type systems. Golang implements concurrent programming through Goroutine, and C++ implements it through threads. Golang memory management is simple, and C++ has stronger performance. In practical cases, Golang code is simpler and C++ has obvious performance advantages.

How to copy a C++ STL container? How to copy a C++ STL container? Jun 05, 2024 am 11:51 AM

There are three ways to copy a C++ STL container: Use the copy constructor to copy the contents of the container to a new container. Use the assignment operator to copy the contents of the container to the target container. Use the std::copy algorithm to copy the elements in the container.

What are the underlying implementation principles of C++ smart pointers? What are the underlying implementation principles of C++ smart pointers? Jun 05, 2024 pm 01:17 PM

C++ smart pointers implement automatic memory management through pointer counting, destructors, and virtual function tables. The pointer count keeps track of the number of references, and when the number of references drops to 0, the destructor releases the original pointer. Virtual function tables enable polymorphism, allowing specific behaviors to be implemented for different types of smart pointers.

How to implement C++ multi-thread programming based on the Actor model? How to implement C++ multi-thread programming based on the Actor model? Jun 05, 2024 am 11:49 AM

C++ multi-threaded programming implementation based on the Actor model: Create an Actor class that represents an independent entity. Set the message queue where messages are stored. Defines the method for an Actor to receive and process messages from the queue. Create Actor objects and start threads to run them. Send messages to Actors via the message queue. This approach provides high concurrency, scalability, and isolation, making it ideal for applications that need to handle large numbers of parallel tasks.

See all articles