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يتم تمرير التبعية عند استدعاء وظيفة معينة تحتاج إليها.

public function handle(Logger $logger) {
    $logger->log("Handling action...");
}

Add these lines:

ClientAliveInterval 60
ClientAliveCountMax 3

npx create-react-app react-i18n-routing
cd react-i18n-routing

Install necessary dependencies:

By implementing full globalization in your React application, you gain:

• Wider reach
• Better SEO
• User trust and satisfaction
• Competitive advantage

detection: {
  order: ['localStorage', 'navigator', 'htmlTag'],
  caches: ['localStorage'],
}

This saves the user's preferred language so it's remembered on the next visit.

Each micro-frontend should be versioned and deployed separately.

Use shared in Module Federation to prevent loading duplicate libraries (like react, vue, etc.).

   import React from 'react';
   import useStore from './store';

   function Counter() {
     const { count, increase, decrease } = useStore();
     return (
       <div>
         <h1>{count}</h1>
         <button onClick={increase}>Increase</button>
         <button onClick={decrease}>Decrease</button>
       </div>
     );
   }

   export default Counter;

With these steps, you've set up a basic state management system using Zustand without the need for additional boilerplate or context providers.

In this example, Greeting will only re-render when the name prop changes. This optimization is particularly beneficial for components that render frequently with the same props.([React][4], [Content That Scales][5])

Passing functions as props can cause child components to re-render unnecessarily because functions are recreated on every render. The useCallback hook memoizes functions, ensuring they maintain the same reference unless their dependencies change.([React][4])

Then you'll need to restart MySQL:

sudo systemctl restart mysql

If needed, recreate the MySQL socket directory:

sudo mkdir -p /var/run/mysqld
sudo chown mysql:mysql /var/run/mysqld

Enable the mbstring PHP extension and restart Apache:

sudo phpenmod mbstring
sudo systemctl restart apache2

Now reboot:

sudo reboot

What’s wrong? If someCondition() returns true, buffer is never deallocated.

void loadData() {
    char* buffer = new char[1024];
    try {
        if (someCondition()) {
            throw std::runtime_error("Something went wrong");
        }
        // more code...
    } catch (...) {
        delete[] buffer;
        throw;
    }
    delete[] buffer;
}

You must implement all three. This is called the Rule of Three.

class String {
private:
    char* buffer;

public:
    String(const char* str) {
        buffer = new char[strlen(str) + 1];
        strcpy(buffer, str);
    }

    // Copy constructor
    String(const String& other) {
        buffer = new char[strlen(other.buffer) + 1];
        strcpy(buffer, other.buffer);
    }

    // Assignment operator
    String& operator=(const String& other) {
        if (this != &other) {
            delete[] buffer;
            buffer = new char[strlen(other.buffer) + 1];
            strcpy(buffer, other.buffer);
        }
        return *this;
    }

    ~String() {
        delete[] buffer;
    }

    void print() const {
        std::cout << buffer << std::endl;
    }
};

// pseudo-code
if (requestsFromIP > 3 in 60 seconds) {
  block temporarily
}

You can also use middleware like:

You’re no longer blindly relying on a package—you understand and control the system.

Want to extend this?

• Arduino board (e.g., Arduino Uno)
• Breadboard
• LED
• 220Ω resistor
• Jumper wires

• Connect the longer leg (anode) of the LED to digital pin 13.
• Connect the shorter leg (cathode) to one end of the 220Ω resistor.

• Setup: The setup function initializes the canvas and video capture. The video is hidden by p5.js’s default element so that we can draw it onto the canvas manually.
• Model Loading: We load the COCO-SSD model asynchronously. Once the model is ready, we start continuous object detection by calling detectObjects().
• Detection Loop: The detectObjects function uses the loaded model to analyze the current video frame and stores the detection results. It recursively calls itself so that new frames are analyzed continuously.
• Drawing: In the draw loop, the video feed is displayed and for each detected object, a rectangle and label are drawn. The bounding box coordinates and object class are provided by the model.

Now that you have a basic real-time object detection app, consider extending its functionality:

Tauri leverages web technologies to build native desktop applications while offloading critical operations to Rust. Paired with Svelte—a fast, compile-time JavaScript framework—you can create modern apps that are both visually appealing and highly performant. This tutorial will walk you through setting up your development environment, creating a Svelte project, integrating Tauri, and building your first desktop app.

Before diving in, ensure you have the following installed:

#include "DSL/Parser.h"
#include <stdexcept>

Parser::Parser(Lexer& lexer) : lexer(lexer) {
    currentToken = lexer.getNextToken();
}

void Parser::eat(TokenType type) {
    if (currentToken.type == type) {
        currentToken = lexer.getNextToken();
    } else {
        throw std::runtime_error("Unexpected token: " + currentToken.text);
    }
}

std::unique_ptr<ASTNode> Parser::factor() {
    if (currentToken.type == TokenType::Number) {
        auto node = std::make_unique<NumberExprAST>(currentToken.value);
        eat(TokenType::Number);
        return node;
    } else if (currentToken.type == TokenType::LParen) {
        eat(TokenType::LParen);
        auto node = parseExpression();
        eat(TokenType::RParen);
        return node;
    }
    throw std::runtime_error("Invalid syntax in factor.");
}

std::unique_ptr<ASTNode> Parser::term() {
    auto node = factor();
    while (currentToken.type == TokenType::Asterisk || currentToken.type == TokenType::Slash) {
        TokenType op = currentToken.type;
        eat(op);
        auto right = factor();
        node = std::make_unique<BinaryExprAST>(op, std::move(node), std::move(right));
    }
    return node;
}

std::unique_ptr<ASTNode> Parser::parseExpression() {
    auto node = term();
    while (currentToken.type == TokenType::Plus || currentToken.type == TokenType::Minus) {
        TokenType op = currentToken.type;
        eat(op);
        auto right = term();
        node = std::make_unique<BinaryExprAST>(op, std::move(node), std::move(right));
    }
    return node;
}

Our AST nodes will represent numeric literals and binary operations. Later, these nodes are traversed to generate LLVM IR.