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30 Jul, 2024 | How to declare a module in TypeScript ?
30 Jul, 2024
A module is a piece of code that can be called or used in another code. There is nothing new about modules in Typescript. The concept of the module was introduced by JavaScript with ECMAScript 2015 release. Typescript is just re-using this feature.
Will the code not work without Modules?
Of course, it will. The code will still work. But there are major drawbacks with the code that is not modularized.
Let’s say we created a very basic chatting application that can either send or receive text messages. Initially, we have added our entire code in just 2-3 files and the application is working great. Later we decided to add a feature to record and send audio messages also. For this, we again added more code into the same files and the application is still doing great. Later we decided to add features like share images or share videos or maybe some large documents as well and we kept on dumping code into the same files or maybe 1 or 2 extra files. Now there is a problem. Here are few issues that we can foresee:
Our app will start becoming slow (or super slow at one point).Frequent crashing of the application causing potential loss of dataCode base will become spaghetti (impossible to maintain)Bug fixing or debugging is another big issueNightmare for the testing teamAll the above problems (and more) can be solved if we just make our code more modular.
Development efforts without using module: Let’s mimic a scenario. We want to buy some fruits. Maybe Apple, Kiwi, and Strawberry. We’ll create 3 separate classes for all 3. Since all 3 are fruits so they share some common features like name, color, and quantity. So we’ll create one more class (as a data type) with one method. Let’s create classes one by one.
1. Creating Apple class: Right-click into project folder and click ‘New file’. Call it apple.ts. First we will define Fruit class here to be used as data type for apple and In the same file We will define class for Apple also:
JavaScript
class Fruit {
// Properties that every fruits have
name: string;
color: string;
quantity: number;
// To initialize the values
constructor(name, color, quantity) {
// Initialize values using this operator
}
myCart() {
// A simple placeholder text
console.log("I have " + this.quantity +
" " + this.color + " " + this.name +
" in my cart");
}
}
class Apple {
// Initialize Fruits class with values
fruits: Fruits = new Fruits(..., ..., ...);
constructor() {
// call method to see everything is correct
this.fruits.myCart();
}
}
// initialize apple class and call
// its constructor automatically
var obj: Apple = new Apple();
We will do the same procedure for Kiwi class
2. Creating Kiwi class: Right-click into project folder and click ‘New file’. Call it kiwi.ts. First we will define Fruit class here to be used as data type for kiwi and In the same file we will define class for Kiwi also:
JavaScript
class Fruit {
// Properties that every fruits have
name: string;
color: string;
quantity: number;
// Initialize the values
constructor(name, color, quantity) {
// Initialize values using this operator
}
myCart() {
// A simple placeholder text
console.log("I have " + this.quantity +
" " + this.color + " " + this.name +
" in my cart");
}
}
class Kiwi {
// Initialize Fruits class with values
fruits: Fruits = new Fruits(..., ..., ...);
constructor() {
// Call method to see everything is correct
this.fruits.myCart();
}
}
// Initialize kiwi class and
// call its constructor automatically
var obj: Kiwi = new Kiwi();
3. Creating Strawberry class: Right-click into the project folder and click ‘New file’. Call it strawberry.ts. First we will define Fruit class here to be used as the data type for strawberry and In the same file we will define class for Strawberry also:
JavaScript
class Fruit {
// Properties that every fruits have
name: string;
color: string;
quantity: number;
// Initialize the values
constructor(name, color, quantity) {
// Initialize values using this operator
}
myCart() {
// A simple placeholder text
console.log("I have " + this.quantity +
" " + this.color + " " + this.name +
" in my cart");
}
}
class Strawberry {
// Initialize Fruits class with values
fruits: Fruits = new Fruits(..., ..., ...);
constructor() {
// Call method to see everything is correct
this.fruits.myCart();
}
}
// Initialize strawberry class and
// call its constructor automatically
var obj: Strawberry = new Strawberry();
Reduced development efforts using modular approach: There is a major flaw in the above approach. Yes, you are right. Redefining the same Fruits class, again and again, is painfully stupid. That’s where the module comes into the picture. What if we keep Fruits class in one file and call it one module and then just call that class/module wherever required. This will save a considerable amount of time and effort of developer. Let’s do that quickly.
Step 1: Create a new file called Fruits.ts
Step 2: Remove Fruits class definition from all 3 classes
Step 3: Paste it at only one location i.e. file Fruits.ts
JavaScript
export class Fruit {
// Properties that every fruits have
name: string;
color: string;
quantity: number;
// Initialize the values
constructor(name, color, quantity) {
// Initialize values using this operator
}
myCart() {
// A simple placeholder text
console.log("I have " + this.quantity +
" " + this.color + " " + this.name +
" in my cart");
}
}
console.log("Hello world!");
Notice that we are using the export keyword in the first place. Export keyword actually makes it possible for our class (or interface) to be used somewhere else in the project. In parallel, we use Import statement in the module that wants to use the exported module.
Also notice that we have added one console log statement at the end of the file. It’s not required, but we want to tell you an important fact later in this article itself. For now, you can just ignore it and assume it is not there.
Now when we have our module ready. We can just call it in our classes. Technically we call it ‘importing‘ and we use a keyword called ‘import‘.
Syntax:
import {classname} from './location';Let’s import the same quickly:
Filename: Apple.ts
JavaScript
import { Fruits } from './main';
class Apple {
fruits: Fruits = new Fruits('apples', 'green', 5);
constructor() {
this.fruits.myCart();
}
}
var obj: Apple = new Apple();
Filename: Kiwi.ts
JavaScript
import { Fruits } from './main';
class Kiwi {
fruits: Fruits = new Fruits('kiwi', 'golden', 2);
constructor() {
this.fruits.myCart();
}
}
var obj: Kiwi = new Kiwi();
Filename: Strawberry.ts
JavaScript
import { Fruits } from './main';
class Strawberry {
fruits: Fruits = new Fruits('strawberries', 'red', 5);
constructor() {
this.fruits.myCart();
}
}
var obj: Strawberry = new Strawberry();
See how clean it looks. It’s easy to understand and easy to maintain now. That’s the whole idea behind the modular approach.
Some Left over points: We have added one console statement at the last. There is the reason for that. Let me first show you the output.
OutputSee every time we run the files, we are getting a class-specific output but also we are getting “Hello world!”
The reason is that it doesn’t belong to the exported class. Then why it was called. The reason is whenever we import a module, the entire module is once executed as one simple program and every line inside the file will get executed no matter it is inside the export class braces or not. So be careful what you put in there. In an expert’s opinion, there should be no stray line of code. Use them in some method or just remove those statements if they are not required.
Summary: So, the module is nothing but a concept or approach where a piece of code is kept separated and exported explicitly so that other pieces of code can import it. We use export keywords to make a class available publicly and we use import to use that exported module.
How to execute the code:
First we will run:
tsc apple.tsThen we will run:
node apple.jsThis is so because not all browsers understand Typescript like they understand JavaScript. So the Typescript first has to be compiled into JavaScript that’s why we use node command for that. We can also club the two commands together using the AND operator:
For Linux:
tsc apple.ts && node apple.jsFor windows I can use pipe operator:
tsc apple.ts | node apple.jsSimilarly, I can run Kiwi and Strawberry classes.
Final output:
https://media.geeksforgeeks.org/wp-content/uploads/20240730171820/file.mp4
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23 Feb, 2024 | How to Declare Optional Properties in TypeScript ?
23 Feb, 2024
The optional properties are the properties that may or may not be present in an object or assigned with a value. You can define the optional properties for different data types in TypeScript like interfaces, type aliases, classes, etc. In TypeScript, you can use the question mark (?) symbol to declare the optional properties just after the name of the property. TypeScript won't throw any error if you don't pass or use the optional property in the object.
Syntax:interface interface_name { property1: type1; property2?: type2; // Optional property}Example: The below code will explain how you can declare an optional property in TypeScript.
JavaScript
interface myInterface {
name: string;
desc: string;
est?: number;
}
const myObj: myInterface = {
name: "GeeksforGeeks",
desc: "A Computer Science Portal",
}
console.log(myObj);
Output:
{ name: "GeeksforGeeks", desc: "A Computer Science Portal"}
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Take the Three 90 Challenge today. | PHP/PHP Tutorial/PHP Date and Time/Node.js date-and-time Date.isLeapYear() Method/How to convert UTC date time into local date time using JavaScript ?/Convert string into date using JavaScript/Node.js date-and-time Date.transform() Method/Node.js Stream transform.destroy() Method/jQWidgets jqxComboBox destroy() Method/jQWidgets jqxComboBox enableItem() Method/jQWidgets jqxComboBox checkAll() Method/jQWidgets jqxTree checkAll() Method/jQWidgets jqxTree collapseItem() Method/jQWidgets jqxTree ensureVisible() Method/jQWidgets jqxTree clear() Method/jQWidgets jqxTree collapseAll() Method/jQWidgets jqxTree destroy() Method/jQWidgets jqxTreeMap destroy Method/jQWidgets jqxTreeMap showLegend Property/jQWidgets jqxTreeMap selectionEnabled Property/jQWidgets jqxTreeMap theme Property/jQWidgets jqxTreeMap width Property/jQWidgets jqxTree width Property/jQWidgets jqxTree enableHover Property/jQWidgets jqxButtonGroup enableHover Property/jQWidgets jqxListBox enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ? | https://www.geeksforgeeks.org/how-to-declare-optional-properties-in-typescript?ref=asr10 | PHP | How to Declare Optional Properties in TypeScript ? | jQWidgets jqxSortable disabled Property, Node.js Stream transform.destroy() Method, jQWidgets jqxSwitchButton enable() Method, Convert string into date using JavaScript, jQWidgets jqxSplitter height Property, How to Declare Optional Properties in TypeScript ?, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxTree checkAll() Method, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxScrollBar step Property, jQWidgets jqxTabs position Property, jQWidgets jqxTooltip height Property, jQWidgets jqxTreeMap width Property, jQWidgets jqxTree collapseItem() Method, jQWidgets jqxTabs keyboardNavigation Property, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxSortable opacity Property, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, jQWidgets jqxTabs disabled Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Node.js date-and-time Date.transform() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxSlider height Property, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, jQWidgets jqxToolBar theme Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSplitter orientation Property, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxSwitchButton orientation Property, jQWidgets jqxToolBar tools Property, jQWidgets jqxSlider rtl Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTooltip opacity Property, jQWidgets jqxTree width Property, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxTree clear() Method, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxScrollView animationDuration Property, jQWidgets jqxToolBar height Property, PHP, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTreeMap destroy Method | GeeksforGeeks | [-0.0175418705, 0.0160197448, -0.0169180483, 0.0406731851, 0.0207108855, -0.000277405779, 0.0198999178, 0.00614152616, -0.00754824467, -0.00450711278, 0.00946961623, 0.00237988052, 0.00849021599, 0.00436363416, -0.0351835527, -0.0249029696, -0.0624320917, 0.0154458294, -0.024067048, -0.00140359916, 0.00753576821, 0.0290950518, -0.0262504239, -0.0253645964, 0.00450087478, 0.00667489413, 0.0236802772, 0.0104802074, -0.0443412587, -0.0189142786, -0.0096754767, -0.00505919522, -0.011671707, -0.0164938495, -0.0363064334, -0.0171925314, 0.0178413056, 0.0182155985, -0.00802234933, -0.00348716415, -0.00517772138, -0.0530997179, 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22 Jan, 2025 | TypeScript Optional Parameters
22 Jan, 2025
Optional parameters in TypeScript allow functions to be called without specifying all arguments, enhancing flexibility and code readability.Denoted by appending a ? to the parameter name.Optional parameters must follow the required parameters in function definitions.Syntaxfunction functionName(param1: type, param2?: type): returnType { // function body}Parameters:param1: A required parameter of the specified type.param2?: An optional parameter; if omitted, its value is undefined.
JavaScript
function greet(name: string, greeting?: string): string {
if (greeting) {
return `${greeting}, ${name}!`;
}
return `Hello, ${name}!`;
}
console.log(greet("Alice"));
console.log(greet("Bob", "Good morning"));
The greet function has two parameters: name (required) and greeting (optional).If greeting is provided, it customizes the message; otherwise, it defaults to "Hello".Greeting Function with Optional Parameter
JavaScript
function greet(name: string, greeting?: string): string {
if (greeting) {
return `${greeting}, ${name}!`;
} else {
return `Hello, ${name}!`;
}
}
console.log(greet("Alice"));
console.log(greet("Bob", "Good morning"));
The greet function has two parameters: name (required) and greeting (optional).If greeting is provided, it customizes the message; otherwise, it defaults to "Hello".Output:Hello, Alice!Good morning, Bob!Function with Multiple Optional Parameters
JavaScript
function createUser(username: string, age?: number, email?: string): string {
let userInfo = `Username: ${username}`;
if (age !== undefined) {
userInfo += `, Age: ${age}`;
}
if (email !== undefined) {
userInfo += `, Email: ${email}`;
}
return userInfo;
}
console.log(createUser("john_doe"));
console.log(createUser("jane_doe", 28));
console.log(createUser("sam_smith", 30, "[email protected]"));
The createUser function accepts username (required), age, and email (both optional).It constructs a user information string based on the provided arguments.Output:Username: john_doeUsername: jane_doe, Age: 28Username: sam_smith, Age: 30, Email: [email protected] Practices for Using TypeScript Optional ParametersPlace Optional Parameters After Required Ones: Always define optional parameters following all required parameters to maintain clarity and prevent errors. Provide Default Values When Appropriate: Assign default values to optional parameters to ensure predictable behavior when arguments are omitted. Use Union Types for Flexibility: Consider using union types for optional parameters to clearly specify the types that are allowed, enhancing type safety.TypeScript Optional Parameters - FAQsHow do I define an optional parameter in TypeScript?Append a question mark (?) after the parameter name in the function definition to make it optional.What happens if an optional parameter is not provided in a function call?If an optional parameter is omitted, its value is undefined by default. Can optional parameters have default values?Yes, you can assign default values to optional parameters, which are used when the parameter is not provided during the function call. Is it mandatory to place optional parameters after required ones?Yes, in TypeScript, optional parameters must follow required parameters in the function signature. How can I check if an optional parameter was provided?Within the function, you can check if an optional parameter is undefined to determine if it was provided.
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jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters | https://www.geeksforgeeks.org/typescript-optional-parameters?ref=asr10 | PHP | TypeScript Optional Parameters | jQWidgets jqxSortable disabled Property, Node.js Stream transform.destroy() Method, jQWidgets jqxSwitchButton enable() Method, Convert string into date using JavaScript, jQWidgets jqxSplitter height Property, How to Declare Optional Properties in TypeScript ?, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxTree checkAll() Method, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxScrollBar step Property, jQWidgets jqxTabs position Property, jQWidgets jqxTooltip height Property, jQWidgets jqxTreeMap width Property, jQWidgets jqxTree collapseItem() Method, jQWidgets jqxTabs keyboardNavigation Property, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxSortable opacity Property, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, jQWidgets jqxTabs disabled Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Node.js date-and-time Date.transform() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxSlider height Property, TypeScript Optional Parameters, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, jQWidgets jqxToolBar theme Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSplitter orientation Property, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxSwitchButton orientation Property, jQWidgets jqxToolBar tools Property, jQWidgets jqxSlider rtl Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTooltip opacity Property, jQWidgets jqxTree width Property, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxTree clear() Method, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxScrollView animationDuration Property, jQWidgets jqxToolBar height Property, PHP, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTreeMap destroy Method | GeeksforGeeks | [-0.0204642974, 0.0205754414, -0.0014544169, 0.0437627546, 0.0186721087, 0.00778004527, 0.0172967073, 0.0337320529, -0.0425401777, -0.0216174107, -0.00903735589, -0.00200752961, -0.0142124752, 0.0053661475, -0.030981252, -0.0125870015, -0.0719654188, -0.00422345335, -0.0261326171, 0.00665471749, 0.0269523, 0.0442906879, -0.0453465506, -0.00923185702, 0.0121910535, 0.00291404384, 0.0217980202, 0.0154211614, -0.0277303047, -0.0279109124, -0.0119687663, 0.0184776075, 0.00127901859, -0.0276608393, -0.0224648807, -0.0228260979, 0.0172272436, 0.0123716611, -0.010023755, 0.00498061813, -0.0177412815, -0.0499312207, 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15 May, 2024 | How to Make a Single Property Optional in TypeScript ?
15 May, 2024
TypeScript is a popular programming language that is a strict syntactical superset of JavaScript, adding optional static typing and class-based object-oriented programming to the language. One useful feature of TypeScript is the ability to specify optional properties in interfaces and classes, allowing you to define an object type that may or may not have certain properties.
Using Utility TypeThis approach employs a utility type named MakeOptional. The utility type uses TypeScript's Omit to exclude the specified property and introduce the ? syntax to mark it as optional.
Syntax:type MakePropertyOptional<T, K extends keyof T> = Omit<T, K> & { [P in K]?: T[P] };Parameters:T: The original type.K: The key of the property you want to make optional.Note: It uses Omit<T, K> to exclude the specified property and then introduces { [P in K]?: T[P] } to add the property back as optional.
Example: here, we define a utility type MakeOptional that takes a generic type T and a property key K. It utilizes TypeScript's Omit to exclude the specified property and introduce the ? syntax to make it optional. The resulting ExampleWithOptionalAge type is then used to create an object with the age property being optional.
JavaScript
type MakeOptional<T, K extends keyof T> =
Omit<T, K> & { [P in K]?: T[P] };
interface Example {
name: string;
age: number;
}
// Make 'age' property optional
type ExampleWithOptionalAge =
MakeOptional<Example, 'age'>;
// Example usage:
const optionalAgeExample:
ExampleWithOptionalAge = { name: 'John' };
console.log(optionalAgeExample);
Output:
{ "name": "John" } Optional Property Inside an Interface:In TypeScript, an interface is a way to define the structure of an object. When making a property optional inside an interface, you use the ? modifier after the property name.
Example: Here, the lastName property is marked as optional by appending ? after its name in the Person interface. This allows objects of type Person to either include or exclude the lastName property. The person1 object doesn't have a lastName property, while the person2 object includes it. Attempting to create an object without the required properties (firstName and age in this case) will result in a compilation error.
JavaScript
interface Person {
firstName: string;
lastName?: string;
age: number;
}
// Valid usage
const person1: Person = {
firstName: "John",
age: 25
};
// Valid usage with optional property
const person2: Person = {
firstName: "Alice",
lastName: "Johnson",
age: 30
};
// Error: Missing required property 'age'
const person3: Person = {
firstName: "Bob"
};
Output:
Property 'age' is missing in type '{ firstName: string; }' but required in type 'Person'.Optional Property Inside a Class:In TypeScript, a class is a blueprint for creating objects. When making a property optional inside a class, you declare the property with a ? modifier in the class definition. Additionally, you may need to adjust the constructor to handle the optional property.
Example: Here, the lastName property is marked as optional in the Person class. When creating instances of the class, you can choose to provide or omit the lastName property. The person1 instance is created without specifying the lastName, while the person2 instance includes it.
JavaScript
class Person {
firstName: string;
// Making lastName optional
lastName?: string;
age: number;
constructor(firstName: string,
age: number,
lastName?: string) {
this.firstName = firstName;
this.lastName = lastName;
this.age = age;
}
}
// Creating instances
const person1 = new Person("John", 25);
const person2 = new Person("Alice", 30, "Johnson");
console.log(person1);
console.log(person2);
Output:
Person: { "firstName": "John", "lastName": undefined, "age": 25} Person: { "firstName": "Alice", "lastName": "Johnson", "age": 30} Using Object Spread SyntaxThis approach leverages the object spread syntax to create a new object with the specified property marked as optional.
Syntax:interface OriginalType { // Define properties here}// Making a single property optional using object spread syntaxconst newObject = { ...originalObject, propertyName?: value };Parameters:
originalObject: The original object.propertyName: The name of the property you want to make optional.value: Optional value for the property.Example: Here's how you can make a single property optional in TypeScript using object spread syntax:
JavaScript
interface Example {
name: string;
age: number;
}
// Original object
const originalExample: Example = { name: 'GFG', age: 22 };
// Make 'age' property optional using object spread syntax
const optionalAgeExample: Partial<Example> = { ...originalExample, age: undefined };
console.log(optionalAgeExample);
Output:
{ "name": "GFG", "age": undefined} Using Conditional and Mapped TypesThis approach introduces a utility type called OptionalProperty that makes a specified property optional. Unlike previous methods, it employs advanced TypeScript features for a streamlined solution.
Syntax:type OptionalProperty<T, K extends keyof T> = Omit<T, K> & Partial<Pick<T, K>>;Parameters:
T: The original type.K: The key of the property you want to make optional.This utility type first removes the specified property from the type (Omit<T, K>) and then reintroduces it as optional using Partial<Pick<T, K>>.
Example: Here, we define a utility type OptionalProperty that takes a generic type T and a property key K. It utilizes TypeScript's Omit and Partial to make the specified property optional. The resulting PersonWithOptionalLastName type is then used to create an object with the lastName property being optional.
JavaScript
type OptionalProperty<T, K extends keyof T> = Omit<T, K> & Partial<Pick<T, K>>;
interface Person {
firstName: string;
lastName: string;
age: number;
}
// Make 'lastName' property optional
type PersonWithOptionalLastName = OptionalProperty<Person, 'lastName'>;
// Example usage:
const person1: PersonWithOptionalLastName = { firstName: 'John', age: 25 };
const person2: PersonWithOptionalLastName = { firstName: 'Alice', lastName: 'Johnson', age: 30 };
console.log(person1); // Output: { firstName: 'John', age: 25 }
console.log(person2); // Output: { firstName: 'Alice', lastName: 'Johnson', age: 30 }
Output:
{ firstName: 'John', age: 25 }{ firstName: 'Alice', lastName: 'Johnson', age: 30 }
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jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ? | https://www.geeksforgeeks.org/how-to-make-a-single-property-optional-in-typescript?ref=asr10 | PHP | How to Make a Single Property Optional in TypeScript ? | jQWidgets jqxSortable disabled Property, Node.js Stream transform.destroy() Method, jQWidgets jqxSwitchButton enable() Method, Convert string into date using JavaScript, 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11 Jun, 2024 | How to Sort an Array Having Optional Properties in TypeScript ?
11 Jun, 2024
Sorting an array with optional properties in TypeScript involves arranging its elements based on a primary property, with fallbacks to secondary properties or default sorting criteria if the primary property is absent.
Below are the approaches used to sort an array having optional properties in TypeScript:
Table of Content
Using the Array.prototype.sortUsing Array.prototype.reduce and Array.prototype.spliceUsing custom sorting function with ternary operatorUsing Array.prototype.sort with Optional ChainingApproach 1: Using the Array.prototype.sortIn this approach, we are using Array.prototype.sort with a custom comparator function to sort arrays with optional properties. Prioritize sorting based on optional properties, then fall to other criteria such as numerical values
Syntax:
arr.sort(compareFunction);Example: Here, we are Sort arr by name property in ascending order, fallback to sorting by id. Handles cases where `name` is present or absent in MyObject interface.
JavaScript
interface MyObject {
id: number;
name?: string;
}
const arr: MyObject[] = [
{ id: 3, name: "Rohit" },
{ id: 1, name: "Amit" },
{ id: 2, name: "Rahul" }
];
arr.sort((a, b) => {
if (a.name && b.name) {
return a.name.localeCompare(b.name);
} else if (!a.name && b.name) {
return -1;
} else if (a.name && !b.name) {
return 1;
} else {
return a.id - b.id;
}
});
console.log(arr);
Output:
[
{ id: 1, name: 'Amit' },
{ id: 2, name: 'Rahul' },
{ id: 3, name: 'Rohit' }
]Approach 2: Using Array.prototype.reduce and Array.prototype.spliceIn this approach, Sort an array with optional properties using `Array.prototype.reduce` and `Array.prototype.splice`. Iterate through each element, insert it into the sorted array considering the presence and absence of optional properties. Returns the sorted array, ensuring proper handling of optional properties during sorting.
Syntax:
array.reduce( myFunction, initialValue );
array.splice( myFunction, initialValue )Example: Here, we are Sorting an array of arrays numerically using the first element. Uses `reduce` and `splice` to insert elements into the sorted array. Returns the sorted array.
JavaScript
type MyObject = number[];
const arr: MyObject[] = [
[3, 4, 5],
[1, 2],
[6, 7, 8]
];
// Sorting function using reduce and splice
const result = arr.reduce((acc: MyObject[], curr: MyObject) => {
const index = acc.findIndex((obj: MyObject) => {
return curr.length && obj.length ? curr[0] < obj[0] :
obj.length === 0;
});
if (index !== -1) {
acc.splice(index, 0, curr);
} else {
acc.push(curr);
}
return acc;
}, []);
console.log(result);
Output:
[ [ 1, 2 ], [ 3, 4, 5 ], [ 6, 7, 8 ] ]Approach 3: Using custom sorting function with ternary operatorThis approach involves defining a custom sorting function that compares elements based on their optional properties. The ternary operator is used to handle cases where properties are undefined, ensuring correct sorting by comparing values or falling back to another property for comparison.
Example: In this example we sort an array of objects based on the presence of a 'name' property. It prioritizes names and sorts by 'id' if 'name' is absent.
JavaScript
interface MyObject {
id: number;
name?: string;
}
const array: MyObject[] = [
{ id: 3, name: "Rohit" },
{ id: 1 },
{ id: 2, name: "Rahul" }
];
array.sort((a, b) => {
if (a.name === undefined && b.name === undefined) return a.id - b.id;
if (a.name === undefined) return 1;
if (b.name === undefined) return -1;
return a.name.localeCompare(b.name);
});
console.log(array);
Output:
[ { id: 2, name: 'Rahul' }, { id: 3, name: 'Rohit' }, { id: 1 } ]Approach 4: Using Array.prototype.sort with Optional ChainingIn this approach, we sort an array of objects with optional properties using Array.prototype.sort and optional chaining, provide a comparator function. Use optional chaining to access optional properties safely within the comparator.
Example: This TypeScript Example sorts an array of objects with optional properties by accessing them safely using ternary operators and the comparison function of the sort method.
JavaScript
interface MyObject {
id: number;
name?: string;
}
const arr: MyObject[] = [
{ id: 3, name: "Nikunj" },
{ id: 1 },
{ id: 2, name: "Dhruv" }
];
arr.sort((a, b) => ((a.name ? a.name : a.id) as any) - ((b.name ? b.name : b.id) as any));
console.log(arr);
Output:
[{
"id": 3,
"name": "Nikunj"
}, {
"id": 1
}, {
"id": 2,
"name": "Dhruv"
}] Approach 5: Using Type AssertionsUsing type assertions to sort an array with optional properties involves asserting that the optional property exists and providing a default value if it doesn't. This ensures TypeScript treats the property as defined for comparison purposes.
Example
JavaScript
interface Item {
name?: string;
value?: number;
}
const items: Item[] = [
{ name: 'item1', value: 10 },
{ name: 'item2' },
{ value: 5 },
{ name: 'item3', value: 15 },
];
items.sort((a, b) => {
return (a.value ?? 0) - (b.value ?? 0);
});
console.log(items);
Output:
[
{ name: 'item2' },
{ value: 5 },
{ name: 'item1', value: 10 },
{ name: 'item3', value: 15 }
]
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06 May, 2024 | How to use Optional Chaining with Arrays and Functions in TypeScript ?
06 May, 2024
In this article, we will learn how we can use optional chaining with arrays and functions in TypeScript. Optional chaining in Typescript is mainly a feature that allows us to safely access the properties or the call functions on potentially null or undefined values without causing any runtime errors. We will see three different approaches with implementation in terms of examples.
Below are the possible approaches:
Table of Content
Optional Chaining with ArrayOptional Chaining with FunctionsOptional Chaining with Array and FunctionsOptional Chaining with ArrayIn this approach, we are using optional chaining with array elements, where we are accessing the first author in the authors array of the geeksArticle object. We are storing the result in mainAuth, which prints the author name or 'undefined' if the authors array is not defined or empty.
Syntax:const result = object?.property?.[index]?.method();Example: Below is the implementation of the above-discussed approach.
JavaScript
interface Approach1 {
title: string;
authors?: string[];
}
const geeksArticle: Approach1 = {
title: 'Top 10 TypeScript Features',
authors: ['Geek1', 'Geek2', 'Geek3'],
};
const mainAuth: string | undefined =
geeksArticle.authors?.[0];
console.log(mainAuth);
Output:
"Geek1" Optional Chaining with FunctionsIn this approach, we are using optional chaining with function (getAuthFn), the geeksAuthor object has an optional method. The res variable consists of either the return value of the function or the undefined if the function or object is not defined.
Syntax:const result = object?.method();Example: Below is the implementation of the above-discussed approach.
JavaScript
type Approach2 = {
getAuthFn?(): string;
};
const geeksAuthor: Approach2 | undefined = {
getAuthFn: () => 'Geek1',
};
const res = geeksAuthor?.getAuthFn?.();
console.log(res);
Output:
"Geek1" Optional Chaining with Array and FunctionsIn this approach, we are using optional chaining with both array and functions, where the user is an option with the optional posts array that has posts with properties like likes and the function as getAuthor. We use the optional chaining (?.) for safe access.
Syntax:const result = object?.property?.[index]?.method?.();Example: Below is the implementation of the above-discussed approach.
JavaScript
type Approach3 = {
username: string;
posts?: {
title: string; likes?: number;
getAuthor?(): string
}[];
};
const user: Approach3 | undefined = {
username: 'geekUser',
posts: [
{
title: 'Introduction to TypeScript', likes: 20,
getAuthor: () => 'Geek1'
},
{
title: 'Advanced JavaScript',
likes: 15
},
],
};
const res1 = user?.posts?.[0]?.likes;
const res2 = user?.posts?.[1]?.getAuthor?.();
console.log(res1);
console.log(res2);
Output:
20undefinedUsing Optional Chaining with Array, Functions, and Ternary OperatorThis new approach involves utilizing optional chaining along with a ternary operator for more concise and flexible access to array elements and function calls.
Example:
JavaScript
type Approach4 = {
username: string;
posts?: {
title: string; likes?: number;
getAuthor?(): string
}[];
};
const user: Approach4 | undefined = {
username: 'geekUser',
posts: [
{
title: 'Introduction to TypeScript', likes: 20,
getAuthor: () => 'Geek1'
},
{
title: 'Advanced JavaScript',
likes: 15
},
],
};
const res1 = user?.posts?.[0]?.likes ?? 0; // Fallback to 0 if likes property is not present
const res2 = user?.posts?.[1]?.getAuthor?.() ?? 'Unknown Author'; // Fallback to 'Unknown Author' if getAuthor function is not present
console.log(res1);
console.log(res2);
Output:
20 "Unknown Author"
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Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Node.js date-and-time Date.transform() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxSlider height Property, TypeScript Optional Parameters, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, jQWidgets jqxToolBar theme Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSplitter orientation Property, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxSwitchButton orientation 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14 May, 2024 | Optional Property Class in TypeScript
14 May, 2024
TypeScript is an Object Oriented Programming language that allows you to create classes with optional properties which may or may not be assigned with a value.
We will discuss two different ways of creating optional property classes in TypeScript:
Table of Content
By using the Question Mark(?)By assigning the properties with default valuesBy Using Partial TypesBy using the Question Mark(?)The optional properties can also be created by declaring the properties with a question mark symbol just after the name of the property. The question mark symbol tells the TypeScript compiler that the declared property is optional.
Syntax:class className {
property1: type;
property2?: type;
property3?: type;
}Example: The below code example uses the question mark symbol to define a class with optional properties in TypeScript.
JavaScript
class optionalPropClass {
name: string;
company?: string;
age?: number;
constructor(
name: string,
company?: string,
age?: number) {
this.name = name;
this.company = company;
this.age = age;
}
}
const employee1 =
new optionalPropClass("Employee 1");
const employee2 =
new optionalPropClass("Employee 2", "company 1");
const employee3 =
new optionalPropClass("Employee 3", "company 2", 32);
console.log(`
Employee Name: ${employee1.name},
Company: ${employee1.company ? employee1.company : "N/A"},
Age: ${employee1.age ? employee1.age : "N/A"}
`);
console.log(`
Employee Name: ${employee2.name},
Company: ${employee2.company ? employee2.company : "N/A"},
Age: ${employee2.age ? employee2.age : "N/A"}
`);
console.log(`
Employee Name: ${employee3.name},
Company: ${employee3.company ? employee3.company : "N/A"},
Age: ${employee3.age ? employee3.age : "N/A"}
`);
Output:
Employee Name: Employee 1, Company: N/A, Age: N/A
Employee Name: Employee 2, Company: company 1, Age: N/A
Employee Name: Employee 3, Company: company 2, Age: 32By assigning the properties with default valuesIf the properties of a class are initialized with some initial or default values, then either you pass or omit the values of those properties while creating an instance will not throw an error and it uses the provided default values in the case you omit passing the values.
Syntax:class className {
property1: type;
property2: type = initialValue;
property3: type = initialValue;
}Example: The below code example implements the default values approach to create optional properties class in TypeScript.
JavaScript
class optionalPropClass {
name: string;
company: string = "GeeksforGeeks";
age: number = 25;
constructor(
name: string,
company: string = "GeeksforGeeks",
age: number = 25) {
this.name = name;
this.company = company;
this.age = age;
}
}
const employee1 =
new optionalPropClass("Employee 1");
const employee2 =
new optionalPropClass("Employee 2", "company 1");
const employee3 =
new optionalPropClass("Employee 3", "company 2", 32);
console.log(`
Employee Name: ${employee1.name},
Company: ${employee1.company},
Age: ${employee1.age}
`);
console.log(`
Employee Name: ${employee2.name},
Company: ${employee2.company},
Age: ${employee2.age}
`);
console.log(`
Employee Name: ${employee3.name},
Company: ${employee3.company},
Age: ${employee3.age}
`);
Output:
Employee Name: Employee 1, Company: GeeksforGeeks, Age: 25
Employee Name: Employee 2, Company: company 1, Age: 25
Employee Name: Employee 3, Company: company 2, Age: 32By Using Partial TypesIn TypeScript, you can leverage partial types to define classes with optional properties. Partial types allow you to specify that all properties of a type are optional, which aligns well with creating classes with optional properties.
Syntax:class ClassName {
property1: type;
property2?: type;
property3?: type;
}property1: Required property.property2 and property3: Optional properties.By using partial types, you can explicitly declare that certain properties may or may not be assigned values when creating instances of the class.
Example: In this example Class OptionalPropClass has optional properties: company and age. Instances are created with various property combinations. Displayed information shows properties or "N/A" if undefined.
JavaScript
class OptionalPropClass {
name: string;
company?: string;
age?: number;
constructor(
name: string,
company?: string,
age?: number
) {
this.name = name;
this.company = company;
this.age = age;
}
}
// Creating instances of OptionalPropClass with various combinations of properties
const employee1 = new OptionalPropClass("Employee 1");
const employee2 = new OptionalPropClass("Employee 2", "Company 1");
const employee3 = new OptionalPropClass("Employee 3", "Company 2", 32);
// Displaying information about the created instances
console.log(`
Employee Name: ${employee1.name},
Company: ${employee1.company ? employee1.company : "N/A"},
Age: ${employee1.age ? employee1.age : "N/A"}
`);
console.log(`
Employee Name: ${employee2.name},
Company: ${employee2.company ? employee2.company : "N/A"},
Age: ${employee2.age ? employee2.age : "N/A"}
`);
console.log(`
Employee Name: ${employee3.name},
Company: ${employee3.company ? employee3.company : "N/A"},
Age: ${employee3.age ? employee3.age : "N/A"}
`);
Output:
"
Employee Name: Employee 1,
Company: N/A,
Age: N/A
"
"
Employee Name: Employee 2,
Company: Company 1,
Age: N/A
"
"
Employee Name: Employee 3,
Company: Company 2,
Age: 32
"
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jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript | https://www.geeksforgeeks.org/optional-property-class-in-typescript?ref=asr10 | PHP | Optional Property Class in TypeScript | jQWidgets jqxSortable disabled 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disabled Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Node.js date-and-time Date.transform() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxSlider height Property, TypeScript Optional Parameters, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, jQWidgets jqxToolBar theme Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSplitter orientation Property, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxSwitchButton 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21 Jan, 2025 | Introduction to TypeScript
21 Jan, 2025
TypeScript is a syntactic superset of JavaScript that adds optional static typing, making it easier to write and maintain large-scale applications.
Allows developers to catch errors during development rather than at runtime, improving code reliability.Enhances code readability and maintainability with features like type annotations and interfaces.Fully compatible with JavaScript, enabling seamless integration with existing projects.It is ideal for large-scale applications where strict type-checking and better tooling are essential.Key Features of TypeScript1. Static Type Checking (Optional)TypeScript allows you to check and assign types to variables, parameters, and function return values. While this step requires a little more effort, it significantly improves code quality. Optional static typing helps prevent bugs and makes your code more readable.
2. Class-Based ObjectsOne of TypeScript’s standout features is its support for classes. Unlike JavaScript’s prototype-based approach, TypeScript lets you write true object-oriented code. You can create classes, define constructors, and use inheritance and access modifiers (public, private, protected).
3. ModularityTypeScript promotes modularity. By using modules, you can organize your code into smaller, reusable pieces. This modularity enhances maintainability and collaboration among team members.
4. ES6 FeaturesTypeScript embraces ECMAScript 6 (ES6) features. If you’re familiar with ES6 syntax (arrow functions, template literals, destructuring, etc.), you’ll feel right at home with TypeScript.
5. Syntactical SugaringTypeScript’s syntax is closer to that of high-level languages like Java. It’s like a sweetener for developers—more concise and expressive.
Structure of TypeScriptTypeScript Code cannot be interpreted by the Browser directly so there is a need to compile the TypeScript code into plain JavaScript Code, for this purpose we need the TypeScript Compiler (tsc).
TypeScript Compiler (tsc)Written in TypeScript itself.Compiles .ts files to .js files.Installed as an NPM package (NodeJS).Supports ES6 syntax. TypeScript vs. JavaScriptFeatureTypeScriptJavaScriptTypingStatically TypedDynamically TypedObject OrientationClass-BasedPrototype-BasedModulesSupports ModulesDoes not Support ModulesError DetectionCompile-Time ErrorsRuntime ErrorsCompilationRequires CompilationInterpreted by Browsers/Node.jsCode MaintainabilityEasier due to static typing and interfacesCan be harder in large codebasesTooling SupportAdvanced (autocompletion, refactoring)BasicUse CasesLarge projects, complex applicationsSmall to medium projects, quick prototypingWhy TypeScript is Gaining Popularity ?Enhanced Code Quality: Static typing and interfaces lead to more robust and maintainable code.Developer Experience: Improved tooling support provides a richer environment for spotting errors during development.Framework Adoption: Popular frameworks like Angular have adopted TypeScript, contributing to its rising popularity.Active Community: Used by top tech companies, ensuring continuous improvement and support.Why Do We Use TypeScript ?Better developer experience – One of the biggest advantages of TypeScript is to enable IDEs to provide a richer environment for spotting common errors as you type the code. For a large scale project adopting TypeScript might result in more robust software, while still being deployable where a regular JavaScript application would run.Code quality – Defining data structures in the beginning, using types and interfaces, forces you to think about your app’s data structure from the start and make better design decisions.Prevents bugs – TypeScript won’t make your software bug free. But it can prevent a lot of type-related errors. Along with the Clever IntelliSense many browsers and IDEs support direct debugging through Source Maps.Active community – TypeScript is getting more and more popular. It’s used by the top tech companies like Google, Airbnb, Shopify, Asana, Adobe, and Mozilla so we can assume that it reaches their expectations in terms of scalability – as they are developing large and complex applications.TypeScript Is Just JavaScript – TypeScript starts with JavaScript and ends with JavaScript. Typescript adopts the basic building blocks of your program from JavaScript. All TypeScript code is converted into its JavaScript equivalent for the purpose of execution.Steps for Adding TypeScript File in HTML Code 1. Create the TypeScript File (types.ts)
JavaScript
let myString;
myString = 'Hello from ts';
console.log(myString);
myString is declared as a string variable.It’s assigned the value ‘Hello from TypeScript’.The value is logged to the console.2. Compile TypeScript to JavaScriptUse the TypeScript compiler (tsc) to transpile types.ts into JavaScript. Open your terminal and run:
tsc types.tsThis command generates a types.js file containing the equivalent JavaScript code.
3. Create the HTML File (index.html)
HTML
<html lang="en">
<head>
</head>
<body>
<h2>Welcome to GeeksforGeeks</h2>
<p>Default code has been loaded into the Editor.</p>
<script src="types.js"></script>
</body>
</html>
A heading and a paragraph for content.A script tag that references the compiled JavaScript file types.js.4. Run the HTML FileOpen index.html in a web browser.
5. OutputTypeScript – FAQsWhat is TypeScript, and how does it differ from JavaScript?TypeScript is a superset of JavaScript developed by Microsoft that adds optional static typing and other features to enhance code quality and maintainability.
Why should I use TypeScript if JavaScript is already available?TypeScript offers static typing, which helps catch errors during development, leading to more reliable and maintainable code.
Is TypeScript compatible with existing JavaScript code?Yes, TypeScript is fully compatible with JavaScript. Any valid JavaScript code is also valid TypeScript code, allowing for gradual adoption in projects.
What are the key features of TypeScript?TypeScript introduces features like static typing, interfaces, classes, and modules, which are not present in JavaScript. These features help in building robust and scalable applications.
Can I use TypeScript for both front-end and back-end development?Yes, TypeScript can be used for both front-end and back-end development. It compiles to JavaScript, making it compatible with various environments, including Node.js for server-side development.
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enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript | https://www.geeksforgeeks.org/introduction-to-typescript/ | PHP | Introduction to TypeScript | jQWidgets jqxSortable disabled Property, Node.js Stream transform.destroy() Method, jQWidgets jqxSwitchButton enable() Method, Convert string into date using JavaScript, jQWidgets jqxSplitter height Property, How to Declare Optional Properties in TypeScript ?, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxTree checkAll() Method, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxScrollBar step Property, jQWidgets jqxTabs position Property, jQWidgets jqxTooltip height Property, How to Make a Single Property Optional in TypeScript ?, jQWidgets jqxTreeMap width Property, Optional Property Class in TypeScript, jQWidgets jqxTree collapseItem() Method, jQWidgets jqxTabs keyboardNavigation Property, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxSortable opacity Property, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, jQWidgets jqxTabs disabled Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Node.js date-and-time Date.transform() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxSlider height Property, TypeScript Optional Parameters, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, jQWidgets jqxToolBar theme Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSplitter orientation Property, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxSwitchButton orientation Property, jQWidgets jqxToolBar tools Property, jQWidgets jqxSlider rtl Property, How to use Optional Chaining with Arrays and Functions in TypeScript ?, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTooltip opacity Property, jQWidgets jqxTree width Property, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxTree clear() Method, Introduction to TypeScript, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxScrollView animationDuration Property, jQWidgets jqxToolBar height Property, PHP, How to Sort an Array Having Optional Properties in TypeScript ?, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTreeMap destroy Method | GeeksforGeeks | [-0.00257785199, 0.00750699081, -0.0195238851, 0.0291288365, 0.0168265048, 0.0120454375, 0.0317691267, 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29 Dec, 2022 | Difference between Flow and TypeScript
29 Dec, 2022
1. Flow : Flow is developed and maintained by Facebook. It is a static type checker, designed to quickly find errors in JavaScript applications. Nothing more, nothing less. It’s not a compiler, but a checker. It can work without any type of annotations and it is very good at inferring types. To enable type checking in flow add // @flow at the top of the file. It checks types locally and doesn’t have a language server or type definitions like TypeScript. 2. TypeScript : TypeScript is an open-source object-oriented programming language. It was introduced on October 1st, 2012. It follows JavaScript syntactically but adds more features to it. It is a superset of JavaScript. It is launched and maintained by Microsoft under the license of Apache 2. It does not directly run on the browser and requires a compiler to compile and generate a TypeScript file. Difference between Flow and TypeScript :
S.No.
FLOW
TYPESCRIPT
1.
It is developed by Facebook in 2014.
It is developed by Microsoft in 2012.
2.
The main features of Flow are Precision, Real-time feedback, Easy to integrate, Reliability, Speed, High throughput, Path sensitivity, Low latency, Type inference, Easily understandable JavaScript patterns.
The main features of Typescript are Compile-time type checking, Enumerated type, Interfaces, Namespaces, Type annotations, Type erasure, Type inference, Generic, Tuples.
3.
Its utility size is 68.4 MB.
Its utility size is 42.4 MB.
4.
It is best choice we are working on React as it is easily integrated with babel and the already present infrastructure.
It is best choice when we are working on Angular 2 or higher versions.
5.
It doesn’t really support encapsulation.
It supports encapsulation with public, private, protected modifiers and readonly since TypeScript 2.0.
6.
It is only supported by React.
It is much better because it support major frontend frameworks like Vue, Angular, and Facebook’s own React.
7.
It support very few library.
It support many library.
8.
Along with the provision of static typing, it also provides us a wide range of inter-procedural analysis and develops an in-depth understanding of our code.
Along with the provision of static typing, it also provides us with great language services and appropriate tooling that includes code refactoring, navigation, and auto-completion.
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jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript | https://www.geeksforgeeks.org/difference-between-flow-and-typescript?ref=asr10 | PHP | 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28 Dec, 2024 | Difference Between Flow Control and Error Control
28 Dec, 2024
In data transmission, the general aspect of maintaining effective and accurate transfer of data between gadgets is very important. This is where the flow control and the error control mechanisms will be of help. Flow control regulates the amount of data being transmitted from the sender to the receiver so that it does not overpower the receiver, while error control concerns itself with errors that may occur in the transmission process. Protocols are two categories that run again in the Data Link Layer to ensure that the transmission of data is accurate and efficient.
What is Flow Control?
It is an important function of the Data Link Layer. It refers to a set of procedures that tells the sender how much data it can transmit before waiting for acknowledgment from the receiver.
Purpose of Flow Control
Any receiving device has a limited speed at which it can process incoming data and also a limited amount of memory to store incoming data. If the source is sending the data at a faster rate than the capacity of the receiver, there is a possibility of the receiver being swamped. The receiver will keep losing some of the frames simply because they are arriving too quickly and the buffer is also getting filled up.
This will generate waste frames on the network. Therefore, the receiving device must have some mechanism to inform the sender to send fewer frames or stop transmission temporarily. In this way, flow control will control the rate of frame transmission to a value that can be handled by the receiver.
Example –Stop & Wait Protocol
What is Error Control?
The error control function of the data link layer detects the errors in transmitted frames and re-transmits all the erroneous frames.
Purpose of Error Control
The function of error control function of the data link layer helps in dealing with data frames that are damaged in transit, data frames lost in transit and acknowledged frames that are lost in transmission. The method used for error control is called Automatic Repeat Request (ARQ) which is used for the noisy channel.
Example –Stop & Wait ARQ and Sliding Window ARQ
Difference Between Flow Control and Error Control
Flow control
Error control
Flow control is meant only for the transmission of data from sender to receiver.
Error control is meant for the transmission of error free data from sender to receiver.
For Flow control there are two approaches : Feedback-based Flow Control and Rate-based Flow Control.
To detect error in data, the approaches are : Checksum, Cyclic Redundancy Check and Parity Checking. To correct error in data, the approaches are : Hamming code, Binary Convolution codes, Reed-Solomon code, Low-Density Parity Check codes.
It prevents the loss of data and avoid over running of receive buffers.
It is used to detect and correct the error occurred in the code.
Example of Flow Control techniques are : Stop & Wait Protocol and Sliding Window Protocol.
Example of Error Control techniques are : Stop & Wait ARQ and Sliding Window ARQ (Go-back-N ARQ, Selected Repeat ARQ).
Conclusion
Flow control and error control are two vital sub layers of the Data Link Layer that assists in data communication to be smooth. Flow is mainly concerned with the control of data flow rate to avoid overloading of the receiver while error control is mainly concerned with the identification and elimination of errors in the stream of data.
Difference Between Flow Control and Error Control – FAQs
How does flow control prevent data loss?
Flow control ensures that data loss is avoided by controlling the flow of data whereby the receiver controls the rate at which the sender sends data to the former. It makes provision that the receiver cannot be flooded with more data than it can process at any one time, thus minimizing the risk of data overflow and the consequent loss of data.
Common techniques of error control?
The error control techniques which are often used include the ARQ methods such as the Stop & Wait ARQ and the Sliding Window ARQ. Checksum, Cyclic Redundancy Check (CRC) and parity checking are also used error detection techniques to find out errors in the transmitted data.
Why is it important to manage both flow control and error control in data communication?
Both flow control and error control are significant aspects in data transmission since they serve different functions. Flow control guarantees that the receiver is capable of handling incoming data without being overloaded while error control is used to check and correct all the errors that is likely to happen during the transmission. Collectively all of them provide a proper flow of communication and minimizes the chances of failure and faults.
Can you give an example of a scenario where flow control is crucial?
Flow control is important in cases where information is sent to or received from a network in which its throughput or capacity differs. For instance in a network where a fast server transmits data to a slow client, the flow control makes sure that data is transmitted in a rate that the client in question can cope with, thus avoiding loss of data.
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30 Jan, 2023 | What are Issues in Flow Control Related to LANs?
30 Jan, 2023
Pre-requisites: What is Network Congestion? Common Causes and How to Fix Them?, TCP Congestion Control
Congestion and flow control are two important issues that can affect the performance of a local area network (LAN). These issues can arise when there is a high volume of traffic on the network, which can lead to delays, dropped packets, and other problems. In this article, we will discuss what congestion and flow control are, how they can affect a LAN, and how they can be addressed.
Flow Control in a LAN
Flow control is a mechanism that is used to manage the flow of traffic on a network. It helps to prevent congestion by regulating the amount of data that is transmitted at any given time. There are several different types of flow control, including window-based flow control and rate-based flow control.
Window-based flow control involves the use of a “window” of data that is transmitted between two devices. The size of the window determines the amount of data that can be transmitted at any given time. If the receiving device is unable to process the data quickly enough, it can send a signal to the sender to reduce the size of the window. This helps to prevent congestion by limiting the amount of data that is transmitted at any given time.
Rate-based flow control involves the use of a predetermined rate at which data can be transmitted. If the receiving device is unable to process the data at this rate, it can send a signal to the sender to reduce the transmission rate. This helps to prevent congestion by limiting the amount of data that is transmitted at any given time.
How Can Flow Control Affect a LAN?
Flow control can have a significant impact on the performance of a LAN. When congestion occurs, packets may be delayed or lost, which can lead to poor performance and reduced reliability. In addition, congestion can lead to increased latency, which can make it difficult for devices on the network to communicate with each other in a timely manner.
Flow control can help to prevent congestion by regulating the flow of traffic on the network. However, if flow control is not implemented properly, it can also lead to problems. For example, if the flow control mechanisms are too strict, they may prevent the network from fully utilizing its available bandwidth. This can lead to reduced performance and decreased efficiency.
There are several issues that can arise due to flow control in a local area network (LAN):
Reduced performance: Flow control issues can also lead to reduced performance on a LAN. For example, if the network is congested, it may be difficult for devices to access the resources they need, which can lead to delays and reduced efficiency.
Decreased efficiency: Flow control mechanisms that are too strict may prevent the network from fully utilizing its available bandwidth, which can lead to decreased efficiency.
Security risks: Flow control issues can also create security risks, as they may make it easier for malicious actors to access the network and steal sensitive data.
By understanding these issues and implementing strategies to address them, it is possible to improve the performance and reliability of a LAN and ensure that it is able to handle the demands of its users.
How Can Flow Control Be Addressed?
There are several strategies that can be used to address congestion and flow control issues in a LAN. These include:
Adding more bandwidth: One way to address congestion is to increase the amount of bandwidth available on the network. This can be done by upgrading the network infrastructure or by adding more devices to the network.
Implementing Quality of Service (QoS) protocols: QoS protocols are used to prioritize certain types of traffic on the network. This can help to ensure that important traffic, such as voice and video, is given priority over less important traffic, such as file downloads.
Using flow control mechanisms: As mentioned earlier, flow control mechanisms can be used to regulate the flow of traffic on the network. This can help to prevent congestion and improve the overall performance of the network.
Monitoring the network: Regular monitoring of the network can help to identify congestion and flow control issues before they become a problem.
Implementing traffic shaping: Traffic shaping involves the use of techniques such as rate limiting and packet prioritization to control the flow of traffic on the network. This can help to prevent congestion and improve the overall performance of the network.
Using load balancing: Load balancing involves distributing traffic across multiple devices or links in order to evenly distribute the workload. This can help to prevent congestion and improve the performance of the network.
Upgrading hardware: In some cases, congestion and flow control issues may be caused by outdated or faulty hardware. Upgrading to newer and more powerful hardware can help to improve the performance of the network and reduce the risk of congestion and flow control issues.
Implementing network segmentation: Network segmentation involves dividing the network into smaller, more manageable sections. This can help to reduce congestion and improve the overall performance of the network by limiting the amount of traffic that has to travel through certain areas.
It’s important to note that congestion and flow control are complex issues that can be caused by a variety of factors. As such, there is no one-size-fits-all solution for addressing these issues. It may be necessary to implement a combination of the strategies mentioned above in order to effectively address congestion and flow control in a LAN.
Here are a few more points to consider when discussing flow control in a local area network (LAN):
Network topology: The way in which devices on a LAN are connected can have an impact on congestion and flow control. For example, a bus topology, in which all devices are connected to a single shared medium, may be more susceptible to congestion than a star topology, in which each device is connected to a central hub.
Protocols: Different protocols can be used to manage congestion and flow control on a LAN. For example, the Transmission Control Protocol (TCP) includes built-in flow control mechanisms that help to prevent congestion.
Network security: Security measures, such as firewalls and intrusion prevention systems, can help to protect a LAN from external threats. However, these measures can also impact the performance of the network and contribute to congestion.
Network maintenance: Regular maintenance of a LAN, such as firmware updates and hardware replacements, can help to prevent congestion and flow control issues.
Network design: The design of a LAN can also have an impact on congestion and flow control. Proper planning and design can help to ensure that the network is able to handle the expected volume of traffic and reduce the risk of congestion.
Overall, flow control is an important issue that can affect the performance and reliability of a LAN. By understanding these issues and implementing strategies to address them, it is possible to improve the performance of a LAN and ensure that it is able to handle the demands of its users.
For more details please refer Difference between Flow Control and Congestion Control article.
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22 May, 2024 | Design Issues in Network Layer
22 May, 2024
The Network layer is majorly focused on getting packets from the source to the destination, routing error handling, and congestion control. Before learning about design issues in the network layer, let’s learn about its various functions.
Addressing: Maintains the address at the frame header of both source and destination and performs addressing to detect various devices in the network.
Packeting: This is performed by Internet Protocol. The network layer converts the packets from its upper layer.
Routing: It is the most important functionality. The network layer chooses the most relevant and best path for the data transmission from source to destination.
Inter-networking: It works to deliver a logical connection across multiple devices.
Network Layer Design Issues
The network layer comes with some design issues that are described as follows:
1. Store and Forward packet switching
The host sends the packet to the nearest router. This packet is stored there until it has fully arrived once the link is fully processed by verifying the checksum then it is forwarded to the next router till it reaches the destination. This mechanism is called “Store and Forward packet switching.”
2. Services provided to the Transport Layer
Through the network/transport layer interface, the network layer transfers its patterns services to the transport layer. These services are described below. But before providing these services to the transfer layer, the following goals must be kept in mind:-
Offering services must not depend on router technology.
The transport layer needs to be protected from the type, number, and topology of the available router.
The network addresses for the transport layer should use uniform numbering patterns, also at LAN and WAN connections.
Based on the connections there are 2 types of services provided :
Connectionless – The routing and insertion of packets into the subnet are done individually. No added setup is required.
Connection-Oriented – Subnet must offer reliable service and all the packets must be transmitted over a single route.
3. Implementation of Connectionless Service
Packets are termed as “datagrams” and corresponding subnets as “datagram subnets”. When the message size that has to be transmitted is 4 times the size of the packet, then the network layer divides into 4 packets and transmits each packet to the router via. a few protocols. Each data packet has a destination address and is routed independently irrespective of the packets.
4. Implementation of Connection-Oriented service:
To use a connection-oriented service, first, we establish a connection, use it, and then release it. In connection-oriented services, the data packets are delivered to the receiver in the same order in which they have been sent by the sender. It can be done in either two ways :
Circuit Switched Connection – A dedicated physical path or a circuit is established between the communicating nodes and then the data stream is transferred.
Virtual Circuit Switched Connection – The data stream is transferred over a packet switched network, in such a way that it seems to the user that there is a dedicated path from the sender to the receiver. A virtual path is established here. While, other connections may also be using the same path.
Connection-less vs Connection-Oriented
Both Connection-less and Connection-Oriented are used for the connection establishment between two or more devices. These types of services are provided by the Network Layer.
Connection-oriented service: In connection-Oriented service we have to establish a connection between sender and receiver before communication. Handshske method is used to establish a connection between sender and receiver. Connection-Oriented service include both connection establishment as well as connection termination phase. Real life example of this service is telephone service, for conversation we have to first establish a connection.
Connection-Oriented Service
Connection-less service: In Connection-Less service no need of connection establishment and connection termination. This Service does not give a guarantee of reliability. In this service, Packets may follow the different path to reach their destination. Real life examples of this service is postal system, Online gaming, real-time video and audio streaming etc.
Frequently Asked Question on Design Issues in Network Layer – FAQs
What is a design issue?
A design issue typically represents a significant problem that arises from the operational requirements and capabilities of a robotic system. It is a critical element of the design process, often leading to specific design solutions.
What are the design issues in the transport layer?
Design issues of a transport layer are :
Receive data from the Session layer, divide it into segments, and forward it to the Network layer.
Guarantee the efficient and accurate delivery of data.
Shield upper layers from technological changes.
Manage error control and flow control.
What are the four key design issues of a computer network layer?
Four key design issues of a computer network layer :
Addressing.
Packeting.
Routing.
Inter-Networking.
How many types of network design are there?
Computer networks are often categorized by their purpose and size. To better understand network classification, explore various types of networks, such as LAN, WAN, WLAN, MAN, and SAN. Additionally, learn about the specific purposes of PAN, EPN, and VPN networks.
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20 Aug, 2024 | Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)
20 Aug, 2024
SSL stands for Secure Socket Layer while TLS stands for Transport Layer Security. Both Secure Socket Layer and Transport Layer Security are the protocols used to provide security between web browsers and web servers. The main difference between Secure Socket Layer and Transport Layer Security is that, in SSL (Secure Socket Layer), the Message digest is used to create a master secret and It provides the basic security services which are Authentication and confidentiality. while In TLS (Transport Layer Security), a Pseudo-random function is used to create a master secret.
What is Secure Socket Layer (SSL)?
The Secure Socket Layer (SSL) is a cryptographic protocol designed to provide secure communication over a computer network. It was developed by Netscape in the 1990s to establish an encrypted link between the web server and a web browser. SSL operates by using encryption to secure the transmission of data ensuring that sensitive information such as credit card details and personal data remains confidential.
Key Features of SSL
Encryption: The SSL uses encryption algorithms to protect data during transmission.
Authentication: The SSL verifies the identity of the server to ensure that data is sent to the correct destination.
Data Integrity: The SSL ensures that data has not been altered during the transmission.
What is Transport Layer Security (TLS)?
The Transport Layer Security (TLS) is the successor to SSL and is designed to provide improved security and efficiency. TLS was developed as an enhancement of SSL to the address various vulnerabilities and to the incorporate modern cryptographic techniques. The first version, TLS 1.0 was based on SSL 3.0 but included significant improvements. TLS continues to evolve with the newer versions offering enhanced the security features.
Key Features of TLS
Enhanced Encryption: The TLS uses stronger encryption algorithms compared to SSL.
Forward Secrecy: The TLS supports forward secrecy which ensures that session keys are not compromised even if the server’s private key is exposed.
Improved Performance: The TLS provides better performance and efficiency with the optimized algorithms and protocols.
Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)
SSL
TLS
SSL stands for Secure Socket Layer.
TLS stands for Transport Layer Security.
SSL (Secure Socket Layer) supports the Fortezza algorithm.
TLS (Transport Layer Security) does not support the Fortezza algorithm.
SSL (Secure Socket Layer) is the 3.0 version.
TLS (Transport Layer Security) is the 1.0 version.
In SSL( Secure Socket Layer), the Message digest is used to create a master secret.
In TLS(Transport Layer Security), a Pseudo-random function is used to create a master secret.
In SSL( Secure Socket Layer), the Message Authentication Code protocol is used.
In TLS(Transport Layer Security), Hashed Message Authentication Code protocol is used.
SSL (Secure Socket Layer) is more complex than TLS(Transport Layer Security).
TLS (Transport Layer Security) is simple.
SSL (Secure Socket Layer) is less secured as compared to TLS(Transport Layer Security).
TLS (Transport Layer Security) provides high security.
SSL is less reliable and slower.
TLS is highly reliable and upgraded. It provides less latency.
SSL has been depreciated.
TLS is still widely used.
SSL uses port to set up explicit connection.
TLS uses protocol to set up implicit connection.
Conclusion
While Secure Socket Layer (SSL) and Transport Layer Security (TLS) both aim to the secure communications over networks TLS is the more modern and secure protocol. The TLS has replaced SSL due to its enhanced the security features and performance improvements. Although SSL is still commonly referenced it is advisable to use TLS for the secure communications to benefit from the latest advancements in the cryptographic technology.
Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS) – FAQs
Why is TLS preferred over SSL?
The TLS is preferred over SSL because it provides the stronger encryption algorithms, better performance and improved security features. The TLS has addressed several vulnerabilities found in the SSL and offers forward secrecy to protect data.
Are SSL and TLS compatible with each other?
No, SSL and TLS are not directly compatible. TLS is designed to be backward-compatible with the SSL meaning that systems using the SSL can often be upgraded to TLS. However, they operate using the different protocols and encryption standards.
What versions of TLS are available?
As of now, the latest versions of the TLS are TLS 1.2 and TLS 1.3. TLS 1.3 is the most recent version and offers the significant security and performance improvements over its predecessors.
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03 Nov, 2023 | SSL vs HTTPS – Which One is More Secure?
03 Nov, 2023
In this article, we will learn about the difference between HTTPS and SSL and then finally discuss which one of them is more reliable and secure.
HTTPS
HTTPS stands for Hypertext Transfer Protocol Secure. It is the basic Internet protocol used by websites on web browsers. HTTPS is the secure version of the HTTP protocol. It is encrypted so it keeps all data transferred with the protocol completely safe. The HTTPS protocol is highly useful in places like logging in to a personal account or using banking credentials for a financial platform. HTTPS enables the information transferred between the web browser and the server to be confidential, and it can only be viewed by authorized users only. In the normal HTTP protocol, the information between the browser and the server is divided in the form of data packets and then transferred, so it becomes easy for attackers to sniff these data packets and then read out the sensitive information. But this cannot take place in HTTPS protocol.
SSL
The SSL stands for secure socket layers. SSL is basically a part of HTTPS protocol which is responsible for the encryption of the Internet security protocol. It is responsible for the integrity of data, the confidentiality of data, and its availability to authorized users only. SSL is the main protocol that performs the encryption task in HTTPS protocol to convert it into a random string of alphabets and numbers. SSL has a popular handshake authentication procedure where it authenticates and only allows authorized devices to perform the communication over the Internet. SSL also performs digital signatures on each of the conversations that take place over the Internet.
SSL or Https Which Is More Secure?
Both HTTPS and SSL perform the same thing of making the online transactions and conversations to be more secure and encrypted over the Internet. HTTPS and SSL are similar things but not the same.
HTTPS basically a standard Internet protocol that makes the online data to be encrypted and is a more advanced and secure version of the HTTP protocol.
SSL is a part of the HTTPS protocol that performs the encryption of the data.
HTTPS uses a combination of technologies like HTTP and SLL/TLS together to perform the encryption whereas the SSL protocol is a cryptographic protocol that will encrypt online communication.
HTTPS and SSL are fundamentally and structurally similar things and they perform operations but they are quite different in their approach.
SSL is a secure protocol that provides safer conversations between two or more parties across the internet. It works on top of the HTTP to provide security. In terms of security, SSL is more secure than HTTPS.
Summary
SSL and HTTPS are inextricably linked. The communication protocols HTTP and HTTPS are used, and SSL/TLS is used to secure those channels. The majority of users of contemporary SSL certificates will gain from TSL as well, provided that their servers are set up properly to support this new protocol.
HTTPS
SSL
It stands for Hypertext Transfer Protocol Secure.
It stands for Secure Sockets Layer.
It is the more secure version of the HTTP protocol and has more encrypted features.
It is the only cryptographic protocol.
HTTPS is made when we combine HTTP protocol along with SSL.
SSL can also be used alone for encryption.
HTTPS is mainly used in websites for banking credentials and personal accounts login.
SSL cannot be used all alone for a particular website. It is combined with HTTP protocol then used for encryption.
HTTPS is more secure and it is the latest version of the HTTP protocol which has been available to date.
SSL is discontinued and now TLS (transport layer security) is used in its place.
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12 Aug, 2024 | What is SSL/TLS Handshake?
12 Aug, 2024
The network is important for office, home, and business networks. The problem is at the utmost places wireless communication is used or we can say the wireless network is used which is effortlessly hackable and the router can be freely exploited if not secured rightly. So there’s a need for security in the network. To fulfill this need we can use security protocols or cryptographic protocols to deliver authentication and data security.
What is Secure Socket Layer(SSL)?
It provides protection to the data that are aligned between the web browser and server. SSL encrypts the link between a web server and a browser which ensures that all data passed between them stay private and separate from attack.
Secure Socket Layer Protocols:
SSL record protocol
Handshake protocol
Change-cipher spec protocol
Alert protocol
Transport Layer Securities (TLS)
Transport Layer Securities (TLS) are aimed to give security at the transport layer. TLS was concluded from a security protocol called Secure Socket Layer (SSL). TLS ensures that no third affair may overhear or tampers with any communication.
When Does a TLS Handshake Occur?
In the startup of a protected relationship between a customer (such as an internet browser) and an expert organization (like a website), there is a TLS handshake. A secret exchange of greetings is like a handshake between two people, but in this case, it is where they agree on what information they want to keep safe before sharing anything. This process involves agreeing on ECMs through which they will communicate safely through the division of pairs while confirming identity integrity Through the use of encryption keys. The action of ensuring privacy besides safety measures for information being conveyed is also very significant.
What Happens During a TLS Handshake?
A secure connection is established by the client and server during TLS handshake. Here are the main steps :
ClientHello : This is where the client begins its handshake with a “hello” message sent to a server which includes supported encryption methods as well as other parameters.
ServerHello : In response, the server also sends its own hello message selecting an encryption method before sending over its digital certificate for authentication.
Key Exchange : In this step, both client and server agree on a shared symmetric key that will be used for client data encryption/decryption during their session. It may involve Diffie-Hellman key exchange or other ways.
Authentication : To prove its identity, the server presents a digital certificate. Then, it is up to the client to verify if such certificate is from a trusted source.
Session Key Generation : Both sides are able to use these exchanged keys in order to generate session keys that will be used for encryption/decryption of data while they are in session.
Finished : To confirm that the handshake went through successfully and that encryption is properly established both parties send ‘finished’ message.
After finishing these steps, they create secure connection which allows safe transfer of information between client and server at all times.
What is the difference between SSL and TLS protocols?
There are always security issues between client and host so Secure Socket Layer and Transport Layer Security are the cryptographic protocols used to provide authentication and data security between the web browser and web server and it encrypts the communication between a client and server, mainly between web browsers and web applications.
There are many differences between SSL and TLS protocols.
Secure Socket Protocol supports Fortezza Algorithms where Transport layer Protocol do not, also the versions of both protocols are very different SSL is version 3.0 and TLS is version 1.0 protocol.
The difference between SSL and TLS is that. In SSL the Message digest is used to create a master secret and provides the security services in communication. which are Authentication and confidentiality. While in TLS a randomly generated Pseudo function is used to create a master secret which provides higher security as compared to SSL.
What is SSL/TLS Handshake?
The SSL and TLS handshake establishes a system for SSL/TLS clients and servers to start communication between them in other words it is a negotiation between two parties on a network. Handshake Protocol is used to establish sessions. This protocol allows the client and server to verify each other by transferring a series of messages to each distance. Handshake protocol uses four phases to finalize its circle.
Steps enable the SSL or TLS client and server to communicate with each other:
Phase-1: Deciding which version of the Protocol to use. The system decides which protocol to use. Client and Server exchange hello-packets with each other to confirm. In this IP session, cipher suite, and Agree on which version of the protocol to use.
Phase-2: Server sends his certificate and Server-key-exchange. The server end phase-2 by exchanging the hello packet.
Phase-3: Verification, in this phase, the Client replies to the server by sending his certificate and Client-exchange-key.
Phase-4: In this phase, the Change Cipher suite is passed and all the verifications and security checks are done after this Handshake Protocol ends.
What is Cipher Suite?
A Cipher suite is a set of encryption rules that decides how the TLS handshake works. TLS/SSL protocols use some algorithms from a cipher suite to generate keys and encrypt information so that the communication is end-to-end encrypted.
A cipher Suite specifies one algorithm for each of the following tasks
Key Exchange Algorithms: This algorithm protects the information required to create shared keys.
Bulk Encryption Algorithms: Bulk encryption algorithms are those algorithms that encrypt the messages exchanged between clients and servers.
Message Authentication Algorithms: Message authentication algorithms generate messages and signatures that ensure the Combination of a message.
Conclusion
SSL/TLS handshake lets client and server follow a process to form a secure connection. Firstly, it involves the client sending its “client hello” message to the server after which the server replies with its own “server hello” message that selects encryption algorithms. Then, the server sends its digital certificate to the client for verification purposes. The client generates a pre-master secret that is encrypted using the public key of the server before sending it back. With this secret both parties come up with session keys they use during secure communication. Lastly, in order to approve if this handshake has been finalized or not, clients and servers exchange their “finished” messages. This way they can be sure that they are communicating securely through encryption.
Frequently Asked Questions on SSL/TLS Handshake – FAQs
What is an SSL/TLS Handshake?
The SSL/TLS Handshake is a process wherein a client and server set up a secure connection prior to exchanging data.
What if the SSL/TLS Handshake fails?
In that case, it will simply not have a secure connection set up. Data may travel between devices in an unencrypted manner in such a case, and there will be chances of data interception and other security problems.
What is the importance of an SSL/TLS handshake?
This is essential because it establishes a secure way of communicating using encryption, identification, and key exchange.
In what way does the SSL/TLS handshake guarantee security?
This is done through agreeing on encryption methods, exchanging keys and verifying identities thereby ensuring that data transmitted over them is done securely.
Can one bypass the SSL/TLS Handshake?
Bypassing the SSL/TLS handshake simply means bypassing the setup for a secure connection; thus, it compromises the security for the communication.
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Property/jQWidgets jqxButtonGroup enableHover Property/jQWidgets jqxListBox enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to LANs?/Design Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake? | https://www.geeksforgeeks.org/what-is-ssl-tls-handshake?ref=asr10 | PHP | TLS Handshake? | What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, jQWidgets jqxTreeMap width Property, Difference between Flow and TypeScript, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxSlider rtl Property, jQWidgets jqxTooltip opacity Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxToolBar height Property, PHP, Node.js Stream transform.destroy() Method, What are Issues in Flow Control Related to LANs?, jQWidgets jqxTree checkAll() Method, jQWidgets jqxTooltip height Property, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, Node.js date-and-time Date.transform() Method, TypeScript Optional Parameters, jQWidgets jqxToolBar theme Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, How to use Optional Chaining with Arrays and Functions in TypeScript ?, Difference Between Flow Control and Error Control, Design Issues in Network Layer, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxTreeMap destroy Method, jQWidgets jqxSwitchButton enable() Method, jQWidgets jqxSplitter height Property, How to Make a Single Property Optional in TypeScript ?, Introduction to TypeScript, jQWidgets jqxTree collapseItem() Method, Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS), jQWidgets jqxSortable opacity Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTabs disabled Property, jQWidgets jqxSlider height Property, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxToolBar tools Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, jQWidgets jqxTree clear() Method, TLS Handshake?, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, jQWidgets jqxTabs keyboardNavigation Property, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0163262263, -0.0162203182, -0.0103057269, -0.0151286433, 0.0137762716, 0.00894520804, 0.0175319556, 0.0312837884, -0.0129127093, 0.0096051, 0.00815089326, -0.0174016058, 0.0163425207, -0.0114788683, -0.0135726016, 0.0116988327, -0.00498178, -0.00576794799, -0.0161225554, 0.00737287151, 0.0156581867, -0.0170431454, -0.0604168139, -0.0266401, -0.0297195967, 0.00485550426, 0.0149982944, 0.00352960941, 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04 Mar, 2022 | Impact of Three-way Handshake and Slow Start Algorithm
04 Mar, 2022
Internet became something without which our lives are incomplete. Every day each internet user makes 100s of queries on the internet, be it a simple google search or visiting any website and no one likes the delay in the response. In this article, we will discuss time delay that affects internet speed. A three-way handshake was introduced in the initial time of the internet when TCP was just introduced. Over the period of time, the 3-way handshake is avoided completely using TCP FastOpen. But still, one very infamous congestion control algorithm is there which always invokes when TCP flow starts, this is a slow-start restart algorithm. This takes huge time before it starts sending buffer size worth of packets into the network, even if the bandwidth is totally available.
Slow Start:The purpose of the slow start restart process is to ‘estimate’ cwnd and quickly arrive at a ‘decent estimate’. This algorithm by default gets invoked when a new TCP flow starts or when the link is idle for 1 RTO time. The cwnd value slowly increases from 10 to 20, 40, 80 and so on per RTT. The cwnd is increased by 1 when one new ACK arrives at the sender. The sender sends 2 new packets into the link on receiving one ACK. 1 packet is sent to compensate for the delivered packet, another is sent in accordance with the increased value of congestion window size.
Impact of Slow Start algorithmEvery TCP connection must go through the slow start phase. It means we cannot utilize the ‘available capacity on the link ‘immediately’ after the connection is established. The data transfer begins with ‘initcwnd’ and doubles in (approximately) every RTT. Assume that sender is limited by the receiver’s advertised window which is 64KB. The sender cannot start directly sending 64KB; it starts with Slow Start and increases sending rate.
The time needed by the sender to grow its congestion window (cwnd) such that it can transmit 64KB at a time, can be calculated using the given formula.
where,
RTT stands for the Round Trip Time;init_cwnd is the local variable that stores the initial congestion window size, which is set by default in every OS.N is the desired congestion window size, say 64 KB.Example:
RTT = 56 ms (London to New York)
Initial congestion window (initcwnd) = 10 segments
1 segment size = 1460 bytes
For the TCP Sender to transmit 64KB simultaneously, it must have a
congestion window value of approximately 45 segments.
N = (64KB ÷ segment size = 65536 bytes ÷ 1460 bytes = 44.88 segments)
Time = RTT x ceil(log2(1 + 45/10))
= RTT x ceil(log2(5.5))
= 56 ms x ceil(2.459)
= 56 ms x 3
= 168 ms
Thus, the sender would be able to transmit 64 KB simultaneously after 168 ms.Three-Way Handshake:The three-way handshake is the initial connection establishment process. The client first sends the connection request to the server (SYN packet). If memory space and other resources are available at the server-side, then the server accepts the incoming connection request and ACKs this to the client by sending the SYN+ACK packet. When the client receives this packet, it starts the actual communication to the server and sends the GET request from the next packet onwards. In the reply, the server sends the actual data asked by the client.
Impact of Three-way handshake:If the RTT measurement is 56 ms. This much time just goes waste into connection establishment. The client sends the SYN packet to the receiver for requesting the connection. The server responds to the client by sending an SYN+ACK packet. This two-way round consumes the whole RTT’s worth of time. From the next packet onwards, real communication happens, in which the client first asks for some data from the server, by sending the GET request in a new packet. Therefore, one RTT is the cost that the client pays for 3 way handshake. If somehow this handshake can be avoided, then 56 ms, in this case, can be saved every time the client connects to the server.
Impact of TCP Handshake and Slow Start algorithmAssume the variables:
Round Trip Time = 56 ms, standard RTT time between London and New York
Available Bandwidth to both server and client is= 5 MBPS
Receiver window size (rwnd) of both client and server=
65,535 bytes = 64KB = 45 segments
Initial congestion window (init_cwnd)= 10 segments
Server processing time to process the given GET query and
generate the corresponding response is = 40 ms
Assume the network is clean, with no packet loss and
1 ACK per packet, only GET requests are sent.Impact of TCP Handshake and Slow Start algorithmStep 1: Sender sends the SYN packet at time=0.
Step 2: Receiver gets the SYN packet at time=28 ms, which is one-way time. The receiver accepts the connection request and sends back the SYN+ACK packet at time=28 ms, just after it receives the SYN packet from the sender.
Step 3: The ACK arrives at sender at time=56 ms, another 28 ms was taken by a packet to reach from receiver to sender side, this makes a total of one RTT time, the two-way journey of the packet. Now the connection is established between sender and receiver using 3-way handshakes.
Step 4: Now sender sends the GET request to the receiver at time=56 ms. It takes 28 ms to reach and the receiver gets the GET request.
Step 5: At time=84 ms server receives the GET request.
Step 6: The server takes 40 ms to process the request and generate the data to send in reply packets. After 40 ms elapsed, the server sends the 10 segments of data simultaneously at time=124 ms without waiting for a single ACK to come.
Step 7: The sender or client will start receiving the reply packets one after the other, and it will send the ACK for each packet to the server. The client will get all 10 segments by time=152 ms. On receiving the ACK packets, the server will increase its congestion window size by 1 per ACK packet. Initially, cwnd was 10, therefore it send 10 segments simultaneously. When the server increases its cwnd by 1, it sends 2 new packets into the link.
Step 8: In one RTT time, the server will get the ACK of all 10 packets and thus its cwnd would become 10*2 = 20 at time=180 ms. Also, by this time server has sent 20 new segments into the link, other than the initial 10 segments whose delivery has already been ACK.
Step 9: Now, 20 segments are in the pipe between sender and receiver at time=180 ms.
Step 10: By time=208 ms, the client will receive all these packets.
Step 11: By time=236 server sends 15 new segments. At this time server will get ACK of all these 20 segments. In the intrim, the server will increase its cwnd by 1 per ACK but can’t send 2 new packets for each ACK cause only 15 segments are left to send (total 45 segments). cwnd=40 now.
Step 12: Thus at time=264 ms, 15 segments are reached to the client. Thus 264 ms are required to send 64 KB of data to the client.
Step 13: At time=292 ms, 15 ACK will come to the server, and cwnd will become 40+15 = 55, but the server has no data to send.
So, it takes 264 ms to send 45 packets to the client.
The bandwidth available between server and client is 5 MBPS, but still, the file of 64 KB is taking 264 ms. This time will not decrease even if we increase the bandwidth to 50 MBPS or 5 GBPS. If the client is visiting Gmail or google servers then the page load time will be 264 ms, and this time can’t be decreased by increasing the bandwidth.
Requesting the Same File Again in the Same ConnectionAssume that the connection is idle for a few seconds less than RTO, the slow start is not restarted and the client sends another GET request to the server.
Step 1: Sender sends GET request at time=0 ms.
Step 2: GET request reaches the server at time=28 ms.
Step 3: The server takes 40 ms time for request processing. Generates the reply at time=68 ms and sends it to the client.
Step 4: Note that the cwnd of the server is already 55 in the previous transfer. So, the server will send 45 segments simultaneously at time=68 ms.
Step 5: At time=96 ms, the client receives all 45 segments.
Thus, slow start has wasted 264 – 96 = 168 ms.
Conclusion:264 ms taken by the server to successfully(with ACK) send 45 segments to the client.
By formula time taken by Slow Start to grow the cwnd to 64 KB= 168 ms.
Server processing time = 40 ms
Time elapsed in 3-way Handshakes = 56 ms
Total time = 3-way-handshake + server_processing + Slow_start
264 = 56(3-way-handshake) + 40(server response time) + 168(Slow_start) ms
Thus, slow start and 3-way Handshakes have wasted = 168 ms + 56 ms = 224 ms.If there was no slow start and 3-way handshake, then 96 ms would be required.
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moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to LANs?/Design Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake?/Impact of Three-way Handshake and Slow Start Algorithm | https://www.geeksforgeeks.org/impact-of-three-way-handshake-and-slow-start-algorithm?ref=asr10 | PHP | Impact of Three-way Handshake and Slow Start Algorithm | What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, jQWidgets jqxTreeMap width Property, Difference between Flow and TypeScript, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxSlider rtl Property, jQWidgets jqxTooltip opacity Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxToolBar height Property, PHP, Node.js Stream transform.destroy() Method, What are Issues in Flow Control Related to LANs?, jQWidgets jqxTree checkAll() Method, jQWidgets jqxTooltip height Property, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, Node.js date-and-time Date.transform() Method, TypeScript Optional Parameters, jQWidgets jqxToolBar theme Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, How to use Optional Chaining with Arrays and Functions in TypeScript ?, Difference Between Flow Control and Error Control, Design Issues in Network Layer, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxTreeMap destroy Method, jQWidgets jqxSwitchButton enable() Method, jQWidgets jqxSplitter height Property, How to Make a Single Property Optional in TypeScript ?, Introduction to TypeScript, jQWidgets jqxTree collapseItem() Method, Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS), jQWidgets jqxSortable opacity Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTabs disabled Property, jQWidgets jqxSlider height Property, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxToolBar tools Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, jQWidgets jqxTree clear() Method, TLS Handshake?, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, jQWidgets jqxTabs keyboardNavigation Property, Impact of Three-way Handshake and Slow Start Algorithm, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0253034513, -0.0178484377, -0.01436943, 0.00284249661, -0.0192871243, 0.00974819344, 0.00912040286, 0.0326276757, -0.0430385359, 0.0170113835, 0.0282331407, -0.00832258537, 0.0692313612, -0.0427943952, -0.0102887908, 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09 Jul, 2024 | Steps to Diagnose and Resolve a Slow Network
09 Jul, 2024
With the rapid advancement of technology in today’s world, a sluggish network is equivalent to stopping production, streaming, or communication. Just imagine trying to upload an important document, joining a video chat, or even streaming your favorite program only to realize that it cannot keep up with you. The ability to diagnose and resolve these issues promptly is vital for smooth linkages. The article will take you through the basic steps needed to identify why your network’s speed is low and give suggestions on how you can rectify this so that your internet becomes faster again.What is a Network? A network functions like a digital nervous system, linking devices together for seamless communication and sharing of resources. It serves as a digital infrastructure that enables information flow like a busy highway connecting various endpoints for data interchange and collaboration Essentially, networks are digital fabrics that knit devices into unified entities thereby fostering connections hence making a connected modern world thrive.What is a Slow Network?A slow network is when a network’s performance has been largely reduced which causes delays in the transmission of data leading to ineffective communication and resource sharing. Slow loading times for web pages, buffering during video streaming, slow file downloads and uploads, as well as lag in online gaming or video conferencing, are some examples of slow network symptoms. This can result from several factors like high latency, low bandwidth, network congestion, faulty hardware or software problems. Identifying the root causes through diagnosis followed by resolving it will restore good network performance.Key Terms Associated with NetworkNetwork Latency: Similarly "jitter" is another name given to fluctuations in network delays while it is possible to understand what is being said. For instance, in the case of real-time applications such as online gaming or video conferencing, continuous low latency plays a key role in maintaining a smooth operation.Bandwidth: Envisage "burstable bandwidth" which can handle temporary surges of traffic more than the allocated bandwidth. This allows for accommodating sudden increases in activities taking place on the internet while at the same time maintaining smooth running.Packet Loss: In addition to packet loss, consider the "retransmission rate" as well indicating how many times a lost packet has been retransmitted. High retransmission rates may imply network congestion or defective hardware that requires troubleshooting.Throughput: Besides measuring total throughput, think about "goodput", a measurement of successfully transferred usable data over a network. It excludes retransmitted data and protocol overheads thus giving a clearer picture of efficient data exchange.Ping: To go beyond standard ping tests look into "multi-path ping" where pings from multiple sources are sent via different internet routes at the same time thereby showing diversity of path and possible routing problems.Traceroute: Alongside standard traceroute, consider "reverse traceroute" which starts from the destination and traces the path back to the source. This can reveal asymmetrical routing or unexpected network hops that may affect performance.Steps Used for Diagnosing And Fixing A Slow NetworkStep 1: Recognizing Symptoms of a slow networkTypical signs include slow web browsing, lengthy download times, buffering when streaming. Collect user feedback on symptoms i.e., what they were facing as well as how long it lasted.Step 2: Check HardwareCables and Connections: Ensure all physical connections are secure. Replace any damaged cables.Network Devices: Restart routers, switches, and modems. Firmware updates for these devices can also improve performance.Step 3: Test Your SpeedsFast.com will help you to perform quick internet speed tests matching your ISP’s claims as well as DSLReports.net. For example, if Fast.com shows 100 Mbps but DSLReports.net displays 20 Mbps, you should dig deeper.Step 4: Ping and TraceroutePingPlotter is the best for continuous monitoring with MTR analyzing real-time route performance; a particular network hop has fluctuating response times that facilitate troubleshooting by using MTR.Step 5: Analyze Network TrafficAmong the applications useful in this case include SolarWinds NetFlow Traffic Analyzer which gives detailed information on heavy bandwidth-consuming applications that can be helpful in traffic management. This includes situations where DPI exposes a cloud backup service hogging bandwidth during peak hours.Step 6: Check for InterferenceWi-Spy from MetaGeek helps discover Wi-Fi interference while NetSpot provides access point placement based on signal strength testing. Suppose, you detect a neighbor's Wi-Fi using Wi-Spy on the same channel, what will be your next action - Change Wi-Fi channels to less congested ones via administrator settings on your router.Step 7: Applications that are heavy on bandwidth should be limited.Find and restrict large bandwidth-consuming applications, such as massive file downloads or video streaming.For example: Apply Quality of Service (QoS) controls on your router to prioritize necessary traffic.Step 8: Update Software and FirmwareEnsure that all network-related software like drivers, firmware is up to date. This can solve compatibility problems and increase performance.Step 9: Scan for MalwareTo make sure no malware affects network performance, run a complete system scan using trustworthy antivirus software.Step 10: Speak to Your ISPWhen all else fails, consult your internet service provider about any possible difficulties in their network. They’ll offer line tests and solutions.ConclusionA slow network can be rectified by a systematic approach which involves checking hardware, running diagnostics, analyzing traffic, and possibly working with your ISP. These steps help users comprehend the problem and find ways to improve network performance accordingly if followed precisely.Frequently asked questions(FAQs) related to slow networkWhat could cause my network to be slow even after resetting the router ?Although resetting may resolve short-term issues, it may not address more fundamental ones such as limited bandwidth, interference or technical defects.How can I tell if a problem is due to the local network or the ISP ?At first ping and traceroute are some local tests that we need to perform. For instance, if you continue experiencing issues at the very beginning (local router), it might be local. But if problems are on the way ahead, then maybe it’s an ISP issue.What is significant about high latency and how can it be reduced ?This means that there are delays in data transmission. In this case, routing optimization should be done, wired connections used instead of wireless ones, while avoiding congestion within networks.In what ways does QoS improve network performance ?QoS prioritizes essential network traffic (VoIP, gaming) over less valued traffic thus ensuring smooth running of critical services.Does one have to be technical in order to diagnose network issues ?With little technical skills one can trouble shoot some basic problems but more complex issues may call for professional help.
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Access exclusive features like All India Mock Tests, and Doubt Solving—your GATE success starts now! | PHP/PHP Tutorial/PHP Date and Time/Node.js date-and-time Date.isLeapYear() Method/How to convert UTC date time into local date time using JavaScript ?/Convert string into date using JavaScript/Node.js date-and-time Date.transform() Method/Node.js Stream transform.destroy() Method/jQWidgets jqxComboBox destroy() Method/jQWidgets jqxComboBox enableItem() Method/jQWidgets jqxComboBox checkAll() Method/jQWidgets jqxTree checkAll() Method/jQWidgets jqxTree collapseItem() Method/jQWidgets jqxTree ensureVisible() Method/jQWidgets jqxTree clear() Method/jQWidgets jqxTree collapseAll() Method/jQWidgets jqxTree destroy() Method/jQWidgets jqxTreeMap destroy Method/jQWidgets jqxTreeMap showLegend Property/jQWidgets jqxTreeMap selectionEnabled Property/jQWidgets jqxTreeMap theme Property/jQWidgets jqxTreeMap width Property/jQWidgets jqxTree width Property/jQWidgets jqxTree enableHover 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moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to LANs?/Design Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake?/Impact of Three-way Handshake and Slow Start Algorithm/Steps to Diagnose and Resolve a Slow Network | https://www.geeksforgeeks.org/steps-to-diagnose-and-resolve-a-slow-network?ref=asr10 | PHP | Steps to Diagnose and Resolve a Slow Network | What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, jQWidgets jqxTreeMap width Property, Difference between Flow and TypeScript, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, jQWidgets jqxListBox enableHover Property, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSlider buttonsPosition Property, jQWidgets jqxSlider rtl Property, jQWidgets jqxTooltip opacity Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxToolBar height Property, PHP, Node.js Stream transform.destroy() Method, What are Issues in Flow Control Related to LANs?, jQWidgets jqxTree checkAll() Method, jQWidgets jqxTooltip height Property, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, Node.js date-and-time Date.transform() Method, TypeScript Optional Parameters, jQWidgets jqxToolBar theme Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, Steps to Diagnose and Resolve a Slow Network, How to use Optional Chaining with Arrays and Functions in TypeScript ?, Difference Between Flow Control and Error Control, Design Issues in Network Layer, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, jQWidgets jqxScrollView disabled Property, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxTreeMap destroy Method, jQWidgets jqxSwitchButton enable() Method, jQWidgets jqxSplitter height Property, How to Make a Single Property Optional in TypeScript ?, Introduction to TypeScript, jQWidgets jqxTree collapseItem() Method, Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS), jQWidgets jqxSortable opacity Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTabs disabled Property, jQWidgets jqxSlider height Property, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxToolBar tools Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, jQWidgets jqxTree clear() Method, TLS Handshake?, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, jQWidgets jqxTabs keyboardNavigation Property, Impact of Three-way Handshake and Slow Start Algorithm, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0301796608, -0.00179699447, -0.00986295566, 0.0111101847, 0.00380117679, 0.0296545122, -0.00261753984, 0.0123574138, 0.0227947515, 0.0297529772, 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20 Mar, 2023 | Differences between Wireless Adhoc Network and Wireless Sensor Network
20 Mar, 2023
1. Wireless Adhoc Network: A wireless ad-hoc network is a wireless network deployed without any framework or infrastructure. This incorporates wireless mesh networks, mobile ad-hoc networks, and vehicular ad-hoc networks. Its history could be traced back to the Defense Advanced Research Project Agency (DARPA) and Packet Radio Networks (PRNET) which evolved into the Survival Adaptive Radio Networks (SARNET) program. Wireless ad-hoc networks, in particular mobile ad-hoc networks (MANET), are growing very fast as they make communication simpler and progressively accessible. In any case, their conventions or protocols will in general be hard to structure due to topology dependent behavior of wireless communication, and their distribution and adaptive operations to topology dynamism. They are allowed to move self-assertively at any time. So, the network topology of MANET may change randomly and rapidly at unpredictable times. This makes routing difficult because the topology is continually changing and nodes cannot be expected to have steady data storage.
Applications:
Data Mining
Military battlefield
Commercial Sector
Personal area network or Bluetooth
2. Wireless Sensor Network: A wireless sensor network can be characterized as a system of devices, indicated as nodes that can detect the environment and impart the data accumulated from the monitored field (e.g., a zone or volume) through remote or wireless connections. It can be depicted as a system of nodes that agreeably sense and may control the environment enabling association between people or computers and the surrounding environment. The information is sent, possibly through different jumps, to a sink (indicated as a controller or monitor) that can utilize it locally or is associated with different systems (e.g., The Internet) through a portal. The nodes can be fixed or moved.
Applications:
Environmental Monitoring
Health Care
Positioning and Monitoring
Differences between Wireless Adhoc Networks and Wireless Sensor Networks are as follows:
Wireless Adhoc Network
Wireless Sensor Network
The medium used in wireless ad-hoc networks is radio waves.
The medium used in wireless sensor networks is radio waves, infrared, and optical media.
Application independent network is used.
The application-dependent network is used.
Hop-to-Hop routing takes place.
Query-based (data-centric routing) or location-based routing takes place.
It is heterogeneous in type.
It is homogeneous in type.
The traffic pattern is point-to-point.
The traffic pattern is any-to-any, many-to-one, many-to-few, and one-to-many.
Wireless router is used as an inter-connecting device.
Application level gateway is used as an interconnecting device.
The data rate is high.
The data rate is low.
Supports common services.
Supports specific applications.
Traffic triggering depends on application needs.
Triggered by sensing events.
IP address is used for addressing.
Local unique MAC address or spatial IP is used for addressing.
Network Type Peer-to-Peer
Network type Hierarchical or Mesh
Nodes Can be any wireless device
Nodes Limited to sensor nodes
Communication Range Variable depends on node placement
Communication Range Limited by the sensor node’s transmission power
Communication Range Standard network protocols (TCP/IP)
Communication Range Customized protocols for efficient data transfer and low energy consumption
Data Type General data (voice, video, files, etc.)
Data Type Sensor data (temperature, humidity, light, etc.)
Power Consumption Can be high due to constant communication
Power Consumption Designed to minimize energy consumption to extend network lifetime
Security Security protocols can be implemented
Security Security protocols are critical as sensor data can be sensitive
Applications General wireless communication
Applications Environmental monitoring, industrial automation, home automation, etc.
Deployment Can be deployed in any environment
Deployment Typically deployed in remote or hard-to-reach locations, such as forests, oceans, or industrial sites.
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15 May, 2023 | Adhoc TCP
15 May, 2023
Pre-requisites: TCP
Adhoc Transmission Control Protocol or ATCP is based on the feedback mechanism. Another point about ATCP is that the sender can change its state due to any of the following:
Persist
Congestion Control
Retransmit
Adhoc TCP is a variation of the standard TCP (Transmission Control Convention) intended to work on its exhibition in portable impromptu organizations (MANETs). In MANETs, hubs speak with one another without the requirement for any concentrated framework, for example, switches or passageways. Accordingly, the organization’s geography can change regularly, making it trying for standard TCP to give solid and proficient information move. pecially appointed TCP tends to this test by altering the TCP clog control calculation and different boundaries to further develop execution in these unique conditions. Impromptu TCP utilizes different methods, for example, adjusting the blockage window size and retransmission break, to guarantee that information is sent dependably and proficiently. The following illustrates the above conditions. There are three nodes A,B and C as shown in the diagram below. A is the source node, B is the intermediate node and C is the destination node. If node B detects that the network is partitioned, it sends the message to node A. Node A will in turn change its state to persist and avoids any retransmission.
Different States In ATCP With State Transition Diagram
ATCP State transition can be divided into the following states:
Normal State
Loss State
Congestion State
Disconnection State
To understand the above states, we need to see some examples below. Consider the central node in the below diagram as the normal node which is in normal state in the ATCP protocol. When an adjacent node to a normal node receives three duplicate acknowledgments, the state of the node changes to loss state from a normal state. Upon the conversion to a loss state, the node will retransmit the segments in the TCP buffer. And whenever the node from the loss state sends an acknowledgment to its adjacent node, it gets turned back to the normal state.
If a node receives ECN(Explicit Congestion Notification) message from the node in loss state or normal state, the receiving node converts its state from normal to congested state. upon going into the congestion state, the node starts transmitting the packets it has in store and converts into the normal state again. The details are depicted in the picture below.
Upon receiving DUR(Destination Unreachable) message from the node of loss state or congested state or normal state, the state of the node turns to a disconnection state from the normal state. And on being converted to a disconnection state, the node replies back by sending the duplicate acknowledgment or the new packet. The following diagram explains the formation of the connection state and its reply.
Advantages of Adhoc TCP
It maintains end-to-end symmetries of TCP.
It is compatible with traditional TCP which is the biggest advantage.
It will also improve the throughput of TCP in a wireless network.
Disadvantages of Adhoc TCP
The dependency on the network layer protocol to detect the root changes in the partition.
Addition of thin ATCP layer in the TCP/IP protocol stack requires changes in the interface function.
Different states and state transitions in Adhoc TCP
State name
Description
Trigger for state transition
Normal state
The node is in a stable state and is transmitting and receiving data normally.
N/A
Loss state
The node has lost one or more segments, and retransmission is necessary.
Receiving three duplicate acknowledgments from an adjacent node.
Congestion state
The node has detected congestion in the network, and it is limiting the amount of data sent to prevent further congestion.
Receiving an explicit congestion notification (ECN) message from an adjacent node in normal or loss state.
Disconnection state
The node has lost contact with one or more adjacent nodes, and it is attempting to re-establish communication.
Receiving a destination unreachable (DUR) message from an adjacent node in normal, loss, or congestion state.
Persist state
The node has sent a packet to an adjacent node, but it has not received an acknowledgment. It persists in sending the packet.
If a node detects that the network is partitioned, it changes its state to persist and avoids any retransmission.
Note: The state transition diagram includes four states – Normal, Loss, Congestion, and Disconnection state. However, Persist state is not included in the diagram as it is not a state transition but an additional state that the node can enter to avoid retransmission when the network is partitioned.
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30 Jan, 2025 | Calculation of TCP Checksum
30 Jan, 2025
In network communication ensuring data integrity is very important. So to detect errors that may occur during transmission the Transmission Control Protocol which is an important part of the Internet protocol employs a checksum mechanism. This checksum, calculated by the sender and verified by the receiver, acts as a protection against data corruption.
By calculating a checksum value based on the TCP header and data, including a pseudo-header with essential IP information, the sender ensures data integrity. The receiver recalculates the checksum upon receiving the packet. A match confirms data accuracy, while a mismatch triggers retransmission, securing reliable data delivery across the network. In this article, we will learn a good concept of how the TCP/UDP checksum is calculated.
Understanding the TCP Checksum
The TCP checksum is a method used to detect errors in data transmitted over a network. When data is sent in a TCP segment, the sender calculates a checksum value that represents the data. This value is then included in the segment, and the receiver recalculates the checksum when the data arrives and compares it to the value sent by the sender. If they match then the data is assumed to be error-free, if they don’t then it indicates that there was a transmission error, and the data is discarded or retransmitted. The TCP checksum helps ensure that data remains accurate during transmission.
The Checksum of the TCP is calculated by taking into account the TCP Header, TCP body, and Pseudo IP header. Now, the main ambiguity that arises is how can checksum be calculated on the IP header as IP comes into the picture in the layer below the Transport Layer. In simple terms, it means that we are in the Transport Layer and the IP data packet is created in Network Layer.
When we receive data from the application it is broken into smaller data parts as the whole data from the application cannot be sent through the network to the receiver host.
The protocol we use in OSI in the Transport layer is TCP. So, after breaking the data from the application layer into smaller parts. This broken part forms the body of the TCP.
The TCP header usually varies from 20 Bytes (with no bits of option fields being used) to 60 Bytes (with all bits of option fields being used).
It has fields like Source and Destination Port addresses, urgent pointers, Checksum, etc.
Pseudo IP Header
The pseudo-header is not an IP header rather it is a part of the IP header. We directly don’t use the IP header because in IP header there are many which would be continuously changing when then packets move along the network. Important concept to note here is that we use a part of the IP header which don’t change as the IP packet moves in the network and to overcome all these errors and increase error checking capability we use a Pseudo IP header. We can estimate the size of the IP header from the Transport because the guess/estimation would be definitely wrong and thus there would be no point in calculating the checksum on a field which is wrong at the beginning itself. The error-checking capability of TCP/UDP in the Transport Layer takes help from the network layer for proper error detection.
The Fields of the Pseudo IP header are:
IP of the Source
IP of the Destination
TCP/UDP segment Length
Protocol (stating the type of the protocol used)
Fixed of 8-bits
So, the total size of the pseudo header (12 Bytes) = IP of the Source (32 bits) + IP of the Destination (32 bits) +TCP/UDP segment Length(16 bit) + Protocol (8 bits) + Fixed 8 bits
An important concept should be noted that this Pseudo header is created in the Transport layer for calculation and after the calculation is done the Pseudo header is discarded. And the checksum is calculated by using the usual checksum method.
So, this Pseudo Header is not transported across the network, rather the actual IP header which is formed in Network Layer is transported.
The TCP checksum includes the following:
1. Pseudo IP header 2. TCP header3. TCP body
Step-by-Step Guide to Calculate the TCP Checksum
To calculate the TCP checksum, follow these basic steps:
Prepare the Data: Combine the TCP header and the data to be transmitted. Make sure to include any necessary padding for alignment.
Divide the Data: Split the data into 16-bit words (2-byte parts). If the last part is incomplete, pad it with zeros.
Sum the Words: Add up all the 16-bit words. If the sum exceeds 16 bits, wrap the overflow back around to the lower 16 bits.
Invert the Sum: After adding all the words, take the one’s complement (invert all the bits) of the sum. This inverted value is the checksum.
Attach the Checksum: The calculated checksum is then included in the TCP header for transmission.
As it is already stated that the Pseudo header is discarded and is not transported to the destination host then how does the Destination host check if the data is received correctly or not. Thus the pseudo-header is once again created in the Transport layer of the Destination host and then again the checksum is calculated in the Transport Layer of Destination Host and finally, the checksum is calculated by the usual method of checksum and is confirmed if the data received is correct or not.
Common Mistakes in TCP Checksum Calculation and Ways to Avoid Them
Some common mistakes in calculating the TCP checksum include:
Not Including the Pseudo Header: The TCP checksum calculation involves not just the TCP segment but also a pseudo header that contains information like the source and destination IP addresses. Forgetting to include this pseudo header can lead to an incorrect checksum.
Incorrect Padding: Sometimes, padding is needed to align the data to a multiple of 16 bits. Missing or incorrectly applying padding can cause the checksum to be wrong.
Overflow Handling Issues: When adding 16-bit words, if the sum exceeds 16 bits, you need to wrap the overflow around. Failing to handle this correctly will result in an incorrect checksum.
Misaligned Data: Ensuring the data is split correctly into 16-bit parts is important. Any misalignment can lead to checksum errors.
Calculating TCP Checksums in Real-World Scenarios
Here’s a practical examples of calculating a TCP checksum:
1. Data Preparation: Let’s say we need to calculate the checksum for the following 16-bit words of TCP data:
0x1234, 0x5678, 0x9abc, 0xdef0
2. Sum the Words: Add them up:
0x1234 + 0x5678 + 0x9abc + 0xdef0 = 0x2468c
3. Handle Overflow: Since the sum is larger than 16 bits, we take the overflow (the extra bits beyond 16 bits) and add it back to the lower 16 bits:
0x2468c → 0x468 + 0x2 = 0x46a
4. Invert the Sum: Invert all the bits of the sum (one’s complement of 0x46a):
1's complement of 0x46a = 0xb95
5. Final Checksum: The checksum is 0xb95, which is added to the TCP header for transmission.
Comparative Analysis: TCP Checksum vs. UDP Checksum
While both TCP and UDP use checksums to detect errors in transmitted data, there are key differences:
TCP Checksum: TCP’s checksum covers the entire segment, including the header, data, and the pseudo header (which includes source and destination IP addresses). This helps ensure the integrity of the entire communication, including error handling and reliable delivery.
UDP Checksum: UDP also uses a checksum but it is simpler. It checks the data and UDP header but does not cover the pseudo header. This means that UDP’s error-checking is less thorough compared to TCP’s, as UDP does not ensure reliable delivery like TCP does.
Frequently Asked Questions on Calculation of TCP Checksum -FAQ’s
Why IP header error checking two times is needed ?
The IP header is checked two times the first time in the Transport layer and second time in Network Layer. The IP header is checked two times because double checking ensures that any error in the IP header can be detected with proper accuracy.
Why is the pseudo header included in the TCP checksum calculation?
The pseudo header is included because it contains critical information such as the source and destination IP addresses, protocol type, and TCP length. This ensures that the checksum is validated for the entire communication, including the transport layer and the network layer, preventing errors in the overall communication process.
Can the TCP checksum detect all types of errors?
While the TCP checksum is effective in detecting most errors, it is not foolproof. It can detect errors like bit flips, but it cannot guarantee detection of all possible transmission errors (such as some patterns of corruption). However, its use significantly reduces the chances of undetected errors.
What happens if the TCP checksum is incorrect?
If the checksum does not match upon receipt, the data is considered corrupted. The receiver typically discards the packet and may request a retransmission from the sender if the protocol ensures reliable delivery, like in TCP.
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09 Aug, 2019 | Algorithm for Dynamic Time out timer Calculation
09 Aug, 2019
Prerequisite – Computer Network | TCP Timers
Calculating Time out timer (TOT) at transport layer is tricky as propagation delay is not constant i.e. path may change continuously and traffic is dynamic. So, static TOT cannot be used at TCP. And unnecessarily retransmitting the same data packet multiple times may cause congestion.
Solution for this is we need dynamic TOT which can adjust to changes in round trip time (RTT).
Algorithm for Dynamic TOT calculation:
Basic algorithm
Jacobson’s algorithm
Karn’s modification
1. Basic algorithm –
We assume initial round trip time i.e PRTT.
On sending out each packet TOT = 2 * PRTT.
The next round trip time is calculated using
PRTTn+1 = α PRTTn + (1 - α)ARTTn
where PRTT = predicted round trip time
ARTT = actual round trip time
α = smoothing factor such that 0<= α <=1
Example – Let PRTT1 = 10ms and α = 0.5
TOT = 2 * PRTT1 = 20ms
Let ARTT1 = 15ms
Then,
PRTT2 = (0.5 * 10) + (0.5 * 15) = 12.5ms
TOT = 2 * 12.5 = 25ms
Let ARTT2 = 20ms
PRTT3 = (0.5 * 12.5) + (0.5 * 20) = 16.25ms
TOT = 2 * 16.25 = 32.5ms
And so on TOT is calculated.
Advantages –
better than static TOT.
TOT is flexible to dynamic round trip time.
It takes into consideration all packets to derive new PRTT.
Disadvantages –
TOT = 2 * PRTT is used to allow a grace time for returning acknowledgement.
It is wasteful.
2. Jacobson’s algorithm –
Calculates TOT value more intuitively than basic algorithm.
We assume initial round trip time i.e. PRTT.
PRTTn+1 = α PRTTn + (1 - α)ARTTn
PDn+1 = α PDn + (1 - α)ADn
where ADn = |PRTTn - ARTTn|
AD = Actual deviation
PD = predicted deviation
On sending out each packet, TOT = (4 * PD) + PRTT.
Example –
Iteration 1
Given α = 0.5, PRTT1 = 10ms, PD1 = 5ms and ARTT1 = 20ms
TOT = (4 * 5) + 10 = 30ms
AD1 = |10 - 20| = 10ms
Iteration 2
PRTT2 = α PRTT1 + (1 - α)ARTT1
= (0.5 * 10) + (0.5 * 20) = 15ms
PD2 = α PD1 + (1 - α)AD1
= (0.5 * 5) + (0.5 * 10) = 7.5ms
TOT = (4 * 7.5) + 15 = 45ms
Given ARTT2 = 30ms
AD2 = |15 - 30| = 15ms
Iteration 3
PRTT3 = α PRTT2 + (1 - α)ARTT2
= (0.5 * 15) + (0.5 * 30) = 22.5ms
PD3 = α PD2 + (1 - α)AD2
= (0.5 * 7.5) + (0.5 * 15) = 11.25ms
TOT = (4 * 11.25) + 22.5 = 67.5ms
Given ARTT3 = 10ms
AD2 = |22.5 - 10| = 12.5ms
And so on TOT is calculated.
Problem with Basic and Jacobson’s Algorithm
In both, PRTTn+1 = α PRTTn + (1 – α)ARTTn
i.e both depend on previous segment ARTT. But if initial time out timer times out then what next TOT will be chosen since the acknowledgement is delayed i.e its coming after time out so ARTT is not available.
3. Karn’s Modification –
Whenever the timer times out do not apply either of Basic or Jacobson algorithm as ARTT is not available instead double the time out timer(TOT) whenever the timer times out and a retransmission is made.
GATE | Gate IT 2007 | Question 13
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03 Aug, 2022 | Difference between Round trip time (RTT) and Time to live (TTL)
03 Aug, 2022
1. Round Trip Time (RTT) :The length of time taken by a data packet to be sent to a destination including the time it takes for an acknowledgement of that packet to be received back at the origin place.
image showing RTT
2. Time to live (TTL) :The lifespan or life time of data that is being sent. Once after that specified time is over or elapsed the data will be discarded.or it can also stated as number of hops that packet is set to exist in the network after which that packet is discarded. The purpose of the TTL field is to avoid a situation in which an undeliverable datagram keeps circulating in network.
Difference between Round trip time and Time to live :
S.No
Round trip time
Time to live
1
Also known as ping time.
Also known as hop limit.
2
Gives the total time taken to send data packet and to get an acknowledgment back from the destination.
Gives the hop limit to travel in the network path. after that limit the packet will be discarded.
3
It is an important for determining the connection on a local network or the larger Internet network, and used to diagnose the speed and reliability of network connections.
Helps us to prevent the data packet from circulating indefinitely in the routers path.
4
The round trip time is not stored anywhere, it will be calculated when the acknowledgement comes from destination.
It is an 8-bit field stored in IP header.
5
It can be any value, because it depends on many factors.
Maximum value that can be set to TTL is 255 since its the maximum value that we can produce with 8-bits.
6
It depends on many factors like distance, no. of hops, server response time etc.
It depends on system, It is set initially by the system which is sending the packet.
7
RTT is measured in milliseconds.
TTL is measured in seconds.
How to find RTT and TTL ?
Example 1. pinging amazon.com
We can find RTT and TTL using ping command. Open you terminal or command prompt and type the below command to see the RTT and TTL to amazon.com
ping amazon.com
You will see the screen similar to this.
Each line starting with word reply is reply from the server to client for the packet sent, In the above example we got 4 replies which means that we sent 4 packets.The values marked with red box is RTT ( Round trip time) which is shown in milliseconds since it’s measured in millisecondsand the values marked with blue box is TTL ( Time to live) measured in seconds.
So average RTT for above ping is (230+231+236+230) / 4 = 231.75 msThe TTL above ping is 235 seconds or 235 hops
Example 2. pinging google.com
Pinging google.com with the help of below command
ping google.com
After running the above command you will see screen similar to this
pinging google.com
So average RTT for above ping is (48+62+56+44) / 4 = 52.5 msThe TTL above ping is 114 seconds or 114 hops.
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28 Sep, 2021 | Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms
28 Sep, 2021
1. Multi Level Queue Scheduling (MLQ) : It is quite difficult to have just one queue and schedule all the processes. This is where multi-level queue scheduling is used. In this the processes are divided into various classes depending upon the property of the processes such as system process, I/O process, etc. Thus we get ‘n’ number of queues for n classes of processes. Each queue is assigned a priority and can use its own scheduling algorithm which makes it convenient to use many scheduling algorithms at the same time. Generally, the topmost level of queue has the highest priority which decreases as we move to the lower levels. If the upper level has an absolute priority over lower levels then it is non-preemptive else if the time slice is divided between various queues then it becomes preemptive in nature.
Advantages : The major advantage of this algorithm is that we can use various algorithms such as FCFS, SSJF, LJF, etc. At the same time in different queues.
Disadvantages: The lowest level processes suffer from starvation problem.
2. Round-Robin (RR) : It is particularly designed for time sharing systems. The processes are put into the ready queue which is a circular queue in this case. In this case a small unit of time known as time quantum is defined. The algorithm selects the first process from the queue and executes it for the time defined by the time quantum. If the process has burst time less than the time quantum then the CPU executes the next process but if it has burst time higher than the time quantum then the process is interrupted and next process is executed for same time quantum. If a process is interrupted then a context switch happens and the process is put back at the tail of the queue. It is preemptive in nature.
This algorithm mainly depends on the time quantum. Very large time quantum makes RR same as the FCFS while a very small time quantum will lead to the overhead as context switch will happen again and again after very small intervals.
The major advantage of this algorithm is that all processes get executed one after the other which does not lead to starvation of processes or waiting by process for quite long time to get executed.
Difference between MLQ and Round-Robin (RR) scheduling algorithm :
MLQ
Round-Robin (RR)
MLQ executes the process depending upon the priority if the level of queue in which the process resides and further execution is dependent upon the algorithm used in that level.
Round-Robin (RR) executes the processes based upon the time quantum defined i.e. each process is executed for a fixed amount of time.
MLQ can be both non-preemptive and preemptive depending upon the conditions.
Round-Robin (RR) is preemptive in nature.
The average waiting time for given set of processes is dependent upon the tuple of algorithms used in various levels of multi level queue.
The average waiting time for given set of processes is quite small and depends on the time quantum.
It is quite complex and difficult to implement.
It is quite easy to implement RR.
It leads to the starvation of processes at the lower levels.
Each process is executed and every user feels that his work is being done as the CPU gives equal amount of time to each process.
Switching between different levels causes overhead on the processor.
In case of RR, if the time quantum is very small then context switch takes place again and again after very short intervals of time which leads to overhead.
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28 Oct, 2020 | Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm
28 Oct, 2020
First Come First Served Scheduling Algorithm: First Come First Served (FCFS) is the simplest and non-preemptive scheduling algorithm. In First Come First Served (FCFS), the process is allocated to the CPU in the order of their arrival. A queue data structure is used to implement the FCFS scheduling algorithm. The process which is at the head of the ready queue is allocated to the CPU, when CPU is free. Then the process which is running is removed from the queue. When a new process enters into the ready queue, it is placed onto the tail of the ready queue.
Round Robin Scheduling Algorithm: Round Robin (RR) Scheduling Algorithm is design for the time sharing system. This algorithm is the preemptive scheduling algorithm. In Round Robin Scheduling Algorithm a small unit of time called as time quantum or time slice for which the CPU is provided to each job. CPU is allocated to the each job for the duration equal to the time quantum in cyclic order. This time quantum, time slice or time interval is generally of the order of 10 to 100 milliseconds. Ready queue in the Round Robin Scheduling Algorithm is treated as the circular queue.
The difference between First Come First Served (FCFS) and Round Robin(RR) scheduling algorithm are as follows:
S.No.
First Come First Served (FCFS)
Round Robin(RR)
1.
First Come First Served (FCFS) is the non-preemptive scheduling algorithm.
Round Robin(RR) is the preemptive scheduling algorithm.
2.
FCFS has the minimal overhead.
While RR has small overhead as it is necessary to record the time elapsed and then switch the process which causes an overhead.
3.
First Come First Served Scheduling Algorithm provides high response time for the processes.
In Round Robin Scheduling Algorithm, for the short processes there is very low response time.
3.
FCFS is inconvenient to use in the time sharing system.
It is mainly designed for the time sharing system and hence convenient to use.
5.
Average waiting time is generally not minimal in First Come First Served Scheduling Algorithm.
In Round Robin Scheduling Algorithm average waiting time is minimal.
6.
The process is simply processed in the order of their arrival in FCFS.
It is similar like FCFS in processing but uses time quantum.
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13 Jan, 2025 | Round Robin Scheduling Algorithm with Different Arrival Time
13 Jan, 2025
Round Robin Scheduling is one of the most popular CPU scheduling algorithms used in operating systems. This algorithm is designed to handle processes efficiently by assigning a fixed time slice or quantum to each process.
However, when processes arrive at different times, the scheduling becomes slightly more complex but remains true to its principles. In this article, we’ll explore how the Round Robin Scheduling Algorithm effectively handles this situation. Also, we’ll see its program implementation.
Characteristics of RR Scheduling Algo with Different Arrival TimeHandles Dynamic Arrival: Processes can arrive at different times, and the scheduler dynamically adds them to the ready queue as they arrive, ensuring no process is overlooked.Time Quantum Distribution: Each process is allocated a fixed time slice (time quantum) for execution, regardless of its arrival time.Preemptive Execution: If a process doesn’t complete within its time quantum, it is preempted and added back to the queue for its next turn, even if new processes have arrived.Fair Scheduling: Even with different arrival times, all processes are treated fairly, and no process is given priority over others by default.Minimizes Starvation: New processes are regularly added to the queue, and the algorithm ensures that all processes get CPU time, reducing the risk of starvation.Efficient Queue Updates: The ready queue is updated dynamically as new processes arrive, maintaining a circular queue structure for smooth execution.Impact on Turnaround and Waiting Time: Processes arriving later may experience slightly increased waiting times, but the algorithm works to minimize delays by rotating through all tasks.Example of Round Robin Scheduling Algorithm for the Different Arrival Time:
After all these we get the three times which are:
Completion Time: the time taken for a process to complete.Turn Around Time: total time the process exists in the system. (completion time – arrival time).Waiting Time: total time waiting for their complete execution. (turn around time – burst time ).Turnaround Time (TAT) = Completion Time – Arrival Time.Waiting Time (WT) = TAT – Burst Time.ProcessArrival TimeBurst TimeCompletion TimeTurnaround Time (TAT)Waiting Time (WT)P10514149P217222114P334181511P456211610How to implement in a programming language: Declare arrival[], burst[], wait[], turn[] arrays and initialize them. Also declare a timer variable and initialize it to zero. To sustain the original burst array create another array (temp_burst[]) and copy all the values of burst array in it.To keep a check we create another array of bool type which keeps the record of whether a process is completed or not. we also need to maintain a queue array which contains the process indices (initially the array is filled with 0).Now we increment the timer variable until the first process arrives and when it does, we add the process index to the queue array.Now we execute the first process until the time quanta and during that time quanta, we check whether any other process has arrived or not and if it has then we add the index in the queue (by calling the fxn. queueUpdation()).Now, after doing the above steps if a process has finished, we store its exit time and execute the next process in the queue array. Else, we move the currently executed process at the end of the queue (by calling another fxn. queueMaintainence()) when the time slice expires.The above steps are then repeated until all the processes have been completely executed. If a scenario arises where there are some processes left but they have not arrived yet, then we shall wait and the CPU will remain idle during this interval.Below is the implementation of the above approach:
(For the sake of simplicity, we assume that the arrival times are entered in a sorted way)
C++
//C++ Program for implementing
//Round Robin Algorithm
//code by sparsh_cbs
#include <iostream>
using namespace std;
void queueUpdation(int queue[],int timer,int arrival[],int n, int maxProccessIndex){
int zeroIndex;
for(int i = 0; i < n; i++){
if(queue[i] == 0){
zeroIndex = i;
break;
}
}
queue[zeroIndex] = maxProccessIndex + 1;
}
void queueMaintainence(int queue[], int n){
for(int i = 0; (i < n-1) && (queue[i+1] != 0) ; i++){
int temp = queue[i];
queue[i] = queue[i+1];
queue[i+1] = temp;
}
}
void checkNewArrival(int timer, int arrival[], int n, int maxProccessIndex,int queue[]){
if(timer <= arrival[n-1]){
bool newArrival = false;
for(int j = (maxProccessIndex+1); j < n; j++){
if(arrival[j] <= timer){
if(maxProccessIndex < j){
maxProccessIndex = j;
newArrival = true;
}
}
}
//adds the incoming process to the ready queue
//(if any arrives)
if(newArrival)
queueUpdation(queue,timer,arrival,n, maxProccessIndex);
}
}
//Driver Code
int main(){
int n,tq, timer = 0, maxProccessIndex = 0;
float avgWait = 0, avgTT = 0;
cout << "\nEnter the time quanta : ";
cin>>tq;
cout << "\nEnter the number of processes : ";
cin>>n;
int arrival[n], burst[n], wait[n], turn[n], queue[n], temp_burst[n];
bool complete[n];
cout << "\nEnter the arrival time of the processes : ";
for(int i = 0; i < n; i++)
cin>>arrival[i];
cout << "\nEnter the burst time of the processes : ";
for(int i = 0; i < n; i++){
cin>>burst[i];
temp_burst[i] = burst[i];
}
for(int i = 0; i < n; i++){ //Initializing the queue and complete array
complete[i] = false;
queue[i] = 0;
}
while(timer < arrival[0]) //Incrementing Timer until the first process arrives
timer++;
queue[0] = 1;
while(true){
bool flag = true;
for(int i = 0; i < n; i++){
if(temp_burst[i] != 0){
flag = false;
break;
}
}
if(flag)
break;
for(int i = 0; (i < n) && (queue[i] != 0); i++){
int ctr = 0;
while((ctr < tq) && (temp_burst[queue[0]-1] > 0)){
temp_burst[queue[0]-1] -= 1;
timer += 1;
ctr++;
//Checking and Updating the ready queue until all the processes arrive
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
//If a process is completed then store its exit time
//and mark it as completed
if((temp_burst[queue[0]-1] == 0) && (complete[queue[0]-1] == false)){
//turn array currently stores the completion time
turn[queue[0]-1] = timer;
complete[queue[0]-1] = true;
}
//checks whether or not CPU is idle
bool idle = true;
if(queue[n-1] == 0){
for(int i = 0; i < n && queue[i] != 0; i++){
if(complete[queue[i]-1] == false){
idle = false;
}
}
}
else
idle = false;
if(idle){
timer++;
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
//Maintaining the entries of processes
//after each premption in the ready Queue
queueMaintainence(queue,n);
}
}
for(int i = 0; i < n; i++){
turn[i] = turn[i] - arrival[i];
wait[i] = turn[i] - burst[i];
}
cout << "\nProgram No.\tArrival Time\tBurst Time\tWait Time\tTurnAround Time"
<< endl;
for(int i = 0; i < n; i++){
cout<<i+1<<"\t\t"<<arrival[i]<<"\t\t"
<<burst[i]<<"\t\t"<<wait[i]<<"\t\t"<<turn[i]<<endl;
}
for(int i =0; i< n; i++){
avgWait += wait[i];
avgTT += turn[i];
}
cout<<"\nAverage wait time : "<<(avgWait/n)
<<"\nAverage Turn Around Time : "<<(avgTT/n);
return 0;
}
Java
//JAVA Program for implementing
//Round Robin Algorithm
// code by Sparsh_cbs
import java.util.*;
public class RoundRobin{
private static Scanner inp = new Scanner(System.in);
//Driver Code
public static void main(String[] args){
int n,tq, timer = 0, maxProccessIndex = 0;
float avgWait = 0, avgTT = 0;
System.out.print("\nEnter the time quanta : ");
tq = inp.nextInt();
System.out.print("\nEnter the number of processes : ");
n = inp.nextInt();
int arrival[] = new int[n];
int burst[] = new int[n];
int wait[] = new int[n];
int turn[] = new int[n];
int queue[] = new int[n];
int temp_burst[] = new int[n];
boolean complete[] = new boolean[n];
System.out.print("\nEnter the arrival time of the processes : ");
for(int i = 0; i < n; i++)
arrival[i] = inp.nextInt();
System.out.print("\nEnter the burst time of the processes : ");
for(int i = 0; i < n; i++){
burst[i] = inp.nextInt();
temp_burst[i] = burst[i];
}
for(int i = 0; i < n; i++){ //Initializing the queue and complete array
complete[i] = false;
queue[i] = 0;
}
while(timer < arrival[0]) //Incrementing Timer until the first process arrives
timer++;
queue[0] = 1;
while(true){
boolean flag = true;
for(int i = 0; i < n; i++){
if(temp_burst[i] != 0){
flag = false;
break;
}
}
if(flag)
break;
for(int i = 0; (i < n) && (queue[i] != 0); i++){
int ctr = 0;
while((ctr < tq) && (temp_burst[queue[0]-1] > 0)){
temp_burst[queue[0]-1] -= 1;
timer += 1;
ctr++;
//Updating the ready queue until all the processes arrive
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
if((temp_burst[queue[0]-1] == 0) && (complete[queue[0]-1] == false)){
turn[queue[0]-1] = timer; //turn currently stores exit times
complete[queue[0]-1] = true;
}
//checks whether or not CPU is idle
boolean idle = true;
if(queue[n-1] == 0){
for(int k = 0; k < n && queue[k] != 0; k++){
if(complete[queue[k]-1] == false){
idle = false;
}
}
}
else
idle = false;
if(idle){
timer++;
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
//Maintaining the entries of processes after each premption in the ready Queue
queueMaintainence(queue,n);
}
}
for(int i = 0; i < n; i++){
turn[i] = turn[i] - arrival[i];
wait[i] = turn[i] - burst[i];
}
System.out.print("\nProgram No.\tArrival Time\tBurst Time\tWait Time\tTurnAround Time"
+ "\n");
for(int i = 0; i < n; i++){
System.out.print(i+1+"\t\t"+arrival[i]+"\t\t"+burst[i]
+"\t\t"+wait[i]+"\t\t"+turn[i]+ "\n");
}
for(int i =0; i< n; i++){
avgWait += wait[i];
avgTT += turn[i];
}
System.out.print("\nAverage wait time : "+(avgWait/n)
+"\nAverage Turn Around Time : "+(avgTT/n));
}
public static void queueUpdation(int queue[],int timer,int arrival[],int n, int maxProccessIndex){
int zeroIndex = -1;
for(int i = 0; i < n; i++){
if(queue[i] == 0){
zeroIndex = i;
break;
}
}
if(zeroIndex == -1)
return;
queue[zeroIndex] = maxProccessIndex + 1;
}
public static void checkNewArrival(int timer, int arrival[], int n, int maxProccessIndex,int queue[]){
if(timer <= arrival[n-1]){
boolean newArrival = false;
for(int j = (maxProccessIndex+1); j < n; j++){
if(arrival[j] <= timer){
if(maxProccessIndex < j){
maxProccessIndex = j;
newArrival = true;
}
}
}
if(newArrival) //adds the index of the arriving process(if any)
queueUpdation(queue,timer,arrival,n, maxProccessIndex);
}
}
public static void queueMaintainence(int queue[], int n){
for(int i = 0; (i < n-1) && (queue[i+1] != 0) ; i++){
int temp = queue[i];
queue[i] = queue[i+1];
queue[i+1] = temp;
}
}
}
Python
# Python program for implementing Round Robin Algorithm
def queueUpdation(queue, timer, arrival, n, maxProccessIndex):
zeroIndex = -1
for i in range(n):
if(queue[i] == 0):
zeroIndex = i
break
if(zeroIndex == -1):
return
queue[zeroIndex] = maxProccessIndex + 1
def checkNewArrival(timer, arrival, n, maxProccessIndex, queue):
if(timer <= arrival[n-1]):
newArrival = False
for j in range(maxProccessIndex+1, n):
if(arrival[j] <= timer):
if(maxProccessIndex < j):
maxProccessIndex = j
newArrival = True
# adds the index of the arriving process(if any)
if(newArrival):
queueUpdation(queue, timer, arrival, n, maxProccessIndex)
def queueMaintainence(queue, n):
for i in range(n-1):
if(queue[i+1] != 0):
queue[i], queue[i+1] = queue[i+1], queue[i]
timer, maxProccessIndex = 0, 0
avgWait, avgTT = 0, 0
print("\nEnter the time quanta :", end=" ")
tq = int(input())
print("\nEnter the number of processes :", end=" ")
n = int(input())
arrival = [0]*n
burst = [0]*n
wait = [0]*n
turn = [0]*n
queue = [0]*n
temp_burst = [0]*n
complete = [False]*n
print("\nEnter the arrival time of the processes :", end=" ")
for i in range(n):
arrival[i] = int(input())
print("\nEnter the burst time of the processes :", end=" ")
for i in range(n):
burst[i] = int(input())
temp_burst[i] = burst[i]
for i in range(n):
# Initializing the queue and complete array
complete[i] = False
queue[i] = 0
while(timer < arrival[0]):
# Incrementing Timer until the first process arrives
timer += 1
queue[0] = 1
while(True):
flag = True
for i in range(n):
if(temp_burst[i] != 0):
flag = False
break
if(flag):
break
for i in range(n and queue[i] != 0):
ctr = 0
while((ctr < tq) and (temp_burst[queue[0]-1] > 0)):
temp_burst[queue[0]-1] -= 1
timer += 1
ctr += 1
# Updating the ready queue until all the processes arrive
checkNewArrival(timer, arrival, n, maxProccessIndex, queue)
if((temp_burst[queue[0]-1] == 0) and (complete[queue[0]-1] == False)):
# turn currently stores exit times
turn[queue[0]-1] = timer
complete[queue[0]-1] = True
# checks whether or not CPU is idle
idle = True
if(queue[n-1] == 0):
for k in range(n):
if(queue[k] != 0):
if(complete[queue[k]-1] == False):
idle = False
else:
idle = False
if(idle):
timer += 1
checkNewArrival(timer, arrival, n, maxProccessIndex, queue)
# Maintaining the entries of processes aftereach premption in the ready Queue
queueMaintainence(queue, n)
for i in range(n):
turn[i] = turn[i] - arrival[i]
wait[i] = turn[i] - burst[i]
print("\nProgram No.\tArrival Time\tBurst Time\tWait Time\tTurnAround Time\n")
for i in range(n):
print(i+1, "\t\t", arrival[i], "\t\t", burst[i],
"\t\t", wait[i], "\t\t", turn[i], "\n")
for i in range(n):
avgWait += wait[i]
avgTT += turn[i]
print("\nAverage wait time : ", (avgWait//n))
print("\nAverage Turn Around Time : ", (avgTT//n))
# This code is contributed by lokeshmvs21.
C#
// C# program to implement Round Robin
// Scheduling with different arrival time
using System;
class GFG {
public static void roundRobin(String[] p, int[] a,
int[] b, int n)
{
// result of average times
int res = 0;
int resc = 0;
// for sequence storage
String seq = "";
// copy the burst array and arrival array
// for not effecting the actual array
int[] res_b = new int[b.Length];
int[] res_a = new int[a.Length];
for (int i = 0; i < res_b.Length; i++) {
res_b[i] = b[i];
res_a[i] = a[i];
}
// critical time of system
int t = 0;
// for store the waiting time
int[] w = new int[p.Length];
// for store the Completion time
int[] comp = new int[p.Length];
while (true) {
Boolean flag = true;
for (int i = 0; i < p.Length; i++) {
// these condition for if
// arrival is not on zero
// check that if there come before qtime
if (res_a[i] <= t) {
if (res_a[i] <= n) {
if (res_b[i] > 0) {
flag = false;
if (res_b[i] > n) {
// make decrease the b time
t = t + n;
res_b[i] = res_b[i] - n;
res_a[i] = res_a[i] + n;
seq += "->" + p[i];
}
else {
// for last time
t = t + res_b[i];
// store comp time
comp[i] = t - a[i];
// store wait time
w[i] = t - b[i] - a[i];
res_b[i] = 0;
// add sequence
seq += "->" + p[i];
}
}
}
else if (res_a[i] > n) {
// is any have less arrival time
// the coming process then execute
// them
for (int j = 0; j < p.Length; j++) {
// compare
if (res_a[j] < res_a[i]) {
if (res_b[j] > 0) {
flag = false;
if (res_b[j] > n) {
t = t + n;
res_b[j]
= res_b[j] - n;
res_a[j]
= res_a[j] + n;
seq += "->" + p[j];
}
else {
t = t + res_b[j];
comp[j] = t - a[j];
w[j] = t - b[j]
- a[j];
res_b[j] = 0;
seq += "->" + p[j];
}
}
}
}
// now the previous process
// according to ith is process
if (res_b[i] > 0) {
flag = false;
// Check for greaters
if (res_b[i] > n) {
t = t + n;
res_b[i] = res_b[i] - n;
res_a[i] = res_a[i] + n;
seq += "->" + p[i];
}
else {
t = t + res_b[i];
comp[i] = t - a[i];
w[i] = t - b[i] - a[i];
res_b[i] = 0;
seq += "->" + p[i];
}
}
}
}
// if no process is come on the critical
else if (res_a[i] > t) {
t++;
i--;
}
}
// for exit the while loop
if (flag) {
break;
}
}
Console.WriteLine("name ctime wtime");
for (int i = 0; i < p.Length; i++) {
Console.WriteLine(" " + p[i] + "\t" + comp[i]
+ "\t" + w[i]);
res = res + w[i];
resc = resc + comp[i];
}
Console.WriteLine("Average waiting time is "
+ (float)res / p.Length);
Console.WriteLine("Average compilation time is "
+ (float)resc / p.Length);
Console.WriteLine("Sequence is like that " + seq);
}
// Driver Code
public static void Main(String[] args)
{
// name of the process
String[] name = { "p1", "p2", "p3", "p4" };
// arrival for every process
int[] arrivaltime = { 0, 1, 2, 3 };
// burst time for every process
int[] bursttime = { 10, 4, 5, 3 };
// quantum time of each process
int q = 3;
// cal the function for output
roundRobin(name, arrivaltime, bursttime, q);
}
}
// This code is contributed by Rajput-Ji
JavaScript
<script>
const queueUpdation = (queue, timer, arrival, n, maxProccessIndex) => {
let zeroIndex;
for (let i = 0; i < n; i++) {
if (queue[i] == 0) {
zeroIndex = i;
break;
}
}
queue[zeroIndex] = maxProccessIndex + 1;
}
const queueMaintainence = (queue, n) => {
for (let i = 0; (i < n - 1) && (queue[i + 1] != 0); i++) {
let temp = queue[i];
queue[i] = queue[i + 1];
queue[i + 1] = temp;
}
}
const checkNewArrival = (timer, arrival, n, maxProccessIndex, queue) => {
if (timer <= arrival[n - 1]) {
let newArrival = false;
for (let j = (maxProccessIndex + 1); j < n; j++) {
if (arrival[j] <= timer) {
if (maxProccessIndex < j) {
maxProccessIndex = j;
newArrival = true;
}
}
}
//adds the incoming process to the ready queue
//(if any arrives)
if (newArrival)
queueUpdation(queue, timer, arrival, n, maxProccessIndex);
}
}
//Driver Code
let n = 4;
let tq = 2;
let timer = 0;
let maxProccessIndex = 0;
let avgWait = 0;
let avgTT = 0;
const wait = [];
const turn = [];
const queue = [];
const temp_burst = [];
const complete = [];
const arrival = [0, 1, 2, 3];
const burst = [5, 4, 2, 1];
for (let i = 0; i < n; i++) {
temp_burst[i] = burst[i];
}
for (let i = 0; i < n; i++) { //Initializing the queue and complete array
complete[i] = false;
queue[i] = 0;
}
while (timer < arrival[0]) //Incrementing Timer until the first process arrives
timer++;
queue[0] = 1;
while (true) {
let flag = true;
for (let i = 0; i < n; i++) {
if (temp_burst[i] != 0) {
flag = false;
break;
}
}
if (flag)
break;
for (let i = 0; (i < n) && (queue[i] != 0); i++) {
let ctr = 0;
while ((ctr < tq) && (temp_burst[queue[0] - 1] > 0)) {
temp_burst[queue[0] - 1] -= 1;
timer += 1;
ctr++;
// Checking and Updating the ready queue until all the processes arrive
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
// If a process is completed then store its exit time
// and mark it as completed
if ((temp_burst[queue[0] - 1] == 0) && (complete[queue[0] - 1] == false)) {
//turn array currently stores the completion time
turn[queue[0] - 1] = timer;
complete[queue[0] - 1] = true;
}
// checks whether or not CPU is idle
let idle = true;
if (queue[n - 1] == 0) {
for (let i = 0; i < n && queue[i] != 0; i++) {
if (complete[queue[i] - 1] == false) {
idle = false;
}
}
}
else
idle = false;
if (idle) {
timer++;
checkNewArrival(timer, arrival, n, maxProccessIndex, queue);
}
//Maintaining the entries of processes
//after each premption in the ready Queue
queueMaintainence(queue, n);
}
}
for (let i = 0; i < n; i++) {
turn[i] = turn[i] - arrival[i];
wait[i] = turn[i] - burst[i];
}
console.log(`Time Quanta : ${tq}`);
console.log(`Number of Processes : ${n}`);
console.log(`Arrival Time of Processes : ${arrival}`);
console.log(`Burst Time of Processes : ${burst}`);
console.log("\nProgram No.\tArrival Time\tBurst Time\tWait Time\tTurnAround Time\n");
for (let i = 0; i < n; i++) {
console.log(`${i + 1}\t\t\t ${arrival[i]}\t\t\t ${burst[i]}\t\t\t\t ${wait[i]} \t\t\t\t ${turn[i]} \n`);
}
for (let i = 0; i < n; i++) {
avgWait += wait[i];
avgTT += turn[i];
}
console.log(`\nAverage wait time : ${avgWait / n}`);
console.log(`\nAverage Turn Around Time : ${avgTT / n}`);
// This code is contributed by akashish_.
</script>
Output:
Enter the time quanta : 2Enter the number of processes : 4Enter the arrival time of the processes : 0 1 2 3Enter the burst time of the processes : 5 4 2 1Program No. Arrival Time Burst Time Wait Time TurnAround Time1 0 5 7 122 1 4 6 103 2 2 2 44 3 1 5 6Average wait time : 5Average Turn Around Time : 8In case of any queries or a problem with the code, please write it in the comment section.
Note: A slightly optimized version of the above-implemented code could be done by using Queue data structure as follows:
C++
#include <bits/stdc++.h>
using namespace std;
struct Process
{
int pid;
int arrivalTime;
int burstTime;
int burstTimeRemaining; // the amount of CPU time remaining after each execution
int completionTime;
int turnaroundTime;
int waitingTime;
bool isComplete;
bool inQueue;
};
/*
* At every time quantum or when a process has been executed before the time quantum,
* check for any new arrivals and push them into the queue
*/
void checkForNewArrivals(Process processes[], const int n, const int currentTime, queue<int> &readyQueue)
{
for (int i = 0; i < n; i++)
{
Process p = processes[i];
// checking if any processes has arrived
// if so, push them in the ready Queue.
if (p.arrivalTime <= currentTime && !p.inQueue && !p.isComplete)
{
processes[i].inQueue = true;
readyQueue.push(i);
}
}
}
/*
* Context switching takes place at every time quantum
* At every iteration, the burst time of the processes in the queue are handled using this method
*/
void updateQueue(Process processes[], const int n, const int quantum, queue<int> &readyQueue, int ¤tTime, int &programsExecuted)
{
int i = readyQueue.front();
readyQueue.pop();
// if the process is going to be finished executing,
// ie, when it's remaining burst time is less than time quantum
// mark it completed and increment the current time
// and calculate its waiting time and turnaround time
if (processes[i].burstTimeRemaining <= quantum)
{
processes[i].isComplete = true;
currentTime += processes[i].burstTimeRemaining;
processes[i].completionTime = currentTime;
processes[i].waitingTime = processes[i].completionTime - processes[i].arrivalTime - processes[i].burstTime;
processes[i].turnaroundTime = processes[i].waitingTime + processes[i].burstTime;
if (processes[i].waitingTime < 0)
processes[i].waitingTime = 0;
processes[i].burstTimeRemaining = 0;
// if all the processes are not yet inserted in the queue,
// then check for new arrivals
if (programsExecuted != n)
{
checkForNewArrivals(processes, n, currentTime, readyQueue);
}
}
else
{
// the process is not done yet. But it's going to be pre-empted
// since one quantum is used
// but first subtract the time the process used so far
processes[i].burstTimeRemaining -= quantum;
currentTime += quantum;
// if all the processes are not yet inserted in the queue,
// then check for new arrivals
if (programsExecuted != n)
{
checkForNewArrivals(processes, n, currentTime, readyQueue);
}
// insert the incomplete process back into the queue
readyQueue.push(i);
}
}
/*
* Just a function that outputs the result in terms of their PID.
*/
void output(Process processes[], const int n)
{
double avgWaitingTime = 0;
double avgTurntaroundTime = 0;
// sort the processes array by processes.PID
sort(processes, processes + n, [](const Process &p1, const Process &p2)
{ return p1.pid < p2.pid; });
for (int i = 0; i < n; i++)
{
cout << "Process " << processes[i].pid << ": Waiting Time: " << processes[i].waitingTime << " Turnaround Time: " << processes[i].turnaroundTime << endl;
avgWaitingTime += processes[i].waitingTime;
avgTurntaroundTime += processes[i].turnaroundTime;
}
cout << "Average Waiting Time: " << avgWaitingTime / n << endl;
cout << "Average Turnaround Time: " << avgTurntaroundTime / n << endl;
}
/*
* This function assumes that the processes are already sorted according to their arrival time
*/
void roundRobin(Process processes[], int n, int quantum)
{
queue<int> readyQueue;
readyQueue.push(0); // initially, pushing the first process which arrived first
processes[0].inQueue = true;
int currentTime = 0; // holds the current time after each process has been executed
int programsExecuted = 0; // holds the number of programs executed so far
while (!readyQueue.empty())
{
updateQueue(processes, n, quantum, readyQueue, currentTime, programsExecuted);
}
}
int main()
{
int n, quantum;
cout << "Enter the number of processes: ";
cin >> n;
cout << "Enter time quantum: ";
cin >> quantum;
Process processes[n + 1];
for (int i = 0; i < n; i++)
{
cout << "Enter arrival time and burst time of each process " << i + 1 << ": ";
cin >> processes[i].arrivalTime;
cin >> processes[i].burstTime;
processes[i].burstTimeRemaining = processes[i].burstTime;
processes[i].pid = i + 1;
cout << endl;
}
// stl sort in terms of arrival time
sort(processes, processes + n, [](const Process &p1, const Process &p2)
{ return p1.arrivalTime < p2.arrivalTime; });
roundRobin(processes, n, quantum);
output(processes, n);
return 0;
}
Java
// Java Code
import java.util.Arrays;
import java.util.LinkedList;
import java.util.Queue;
class GFG {
// At every time quantum or when a process has been
// executed before the time quantum, check for any new
// arrivals and push them into the queue
public static void
checkForNewArrivals(Process[] processes, int n,
int currentTime,
Queue<Integer> readyQueue)
{
for (int i = 0; i < n; i++) {
Process p = processes[i];
// checking if any processes has arrived
// if so, push them in the ready Queue.
if (p.arrivalTime <= currentTime && !p.inQueue
&& !p.isComplete) {
processes[i].inQueue = true;
readyQueue.add(i);
}
}
}
// Context switching takes place at every time quantum
// At every iteration, the burst time of the processes
// in the queue are handled using this method
public static void
updateQueue(Process[] processes, int n, int quantum,
Queue<Integer> readyQueue, int currentTime,
int programsExecuted)
{
int i = readyQueue.remove();
// if the process is going to be finished executing,
// ie, when it's remaining burst time is less than
// time quantum mark it completed and increment the
// current time and calculate its waiting time and
// turnaround time
if (processes[i].burstTimeRemaining <= quantum) {
processes[i].isComplete = true;
currentTime += processes[i].burstTimeRemaining;
processes[i].completionTime = currentTime;
processes[i].waitingTime
= processes[i].completionTime
- processes[i].arrivalTime
- processes[i].burstTime;
processes[i].turnaroundTime
= processes[i].waitingTime
+ processes[i].burstTime;
if (processes[i].waitingTime < 0)
processes[i].waitingTime = 0;
processes[i].burstTimeRemaining = 0;
// if all the processes are not yet inserted in
// the queue, then check for new arrivals
if (programsExecuted != n) {
checkForNewArrivals(
processes, n, currentTime, readyQueue);
}
}
else {
// the process is not done yet. But it's going
// to be pre-empted since one quantum is used
// but first subtract the time the process used
// so far
processes[i].burstTimeRemaining -= quantum;
currentTime += quantum;
// if all the processes are not yet inserted in
// the queue, then check for new arrivals
if (programsExecuted != n) {
checkForNewArrivals(
processes, n, currentTime, readyQueue);
}
// insert the incomplete process back into the
// queue
readyQueue.add(i);
}
}
// Just a function that outputs the result in terms of
// their PID.
public static void output(Process[] processes, int n)
{
double avgWaitingTime = 0;
double avgTurntaroundTime = 0;
// sort the processes array by processes.PID
Arrays.sort(processes, (Process p1, Process p2) -> {
return p1.pid - p2.pid;
});
for (int i = 0; i < n; i++) {
System.out.println(
"Process " + processes[i].pid
+ ": Waiting Time: "
+ processes[i].waitingTime
+ " Turnaround Time: "
+ processes[i].turnaroundTime);
avgWaitingTime += processes[i].waitingTime;
avgTurntaroundTime
+= processes[i].turnaroundTime;
}
System.out.println("Average Waiting Time: "
+ avgWaitingTime / n);
System.out.println("Average Turnaround Time: "
+ avgTurntaroundTime / n);
}
/*
* This function assumes that the processes are already
* sorted according to their arrival time
*/
public static void roundRobin(Process[] processes,
int n, int quantum)
{
Queue<Integer> readyQueue
= new LinkedList<Integer>();
readyQueue.add(0); // initially, pushing the first
// process which arrived first
processes[0].inQueue = true;
int currentTime
= 0; // holds the current time after each
// process has been executed
int programsExecuted
= 0; // holds the number of programs executed so
// far
while (!readyQueue.isEmpty()) {
updateQueue(processes, n, quantum, readyQueue,
currentTime, programsExecuted);
}
}
public static class Process {
int pid;
int arrivalTime;
int burstTime;
int burstTimeRemaining; // the amount of CPU time
// remaining after each
// execution
int completionTime;
int turnaroundTime;
int waitingTime;
boolean isComplete;
boolean inQueue;
}
public static void main(String[] args)
{
int n, quantum;
System.out.println(
"Enter the number of processes: ");
n = Integer.parseInt(System.console().readLine());
System.out.println("Enter time quantum: ");
quantum
= Integer.parseInt(System.console().readLine());
Process[] processes = new Process[n + 1];
for (int i = 0; i < n; i++) {
System.out.println(
"Enter arrival time and burst time of each process "
+ (i + 1) + ": ");
processes[i].arrivalTime = Integer.parseInt(
System.console().readLine());
processes[i].burstTime = Integer.parseInt(
System.console().readLine());
processes[i].burstTimeRemaining
= processes[i].burstTime;
processes[i].pid = i + 1;
System.out.println();
}
// stl sort in terms of arrival time
Arrays.sort(processes, (Process p1, Process p2) -> {
return p1.arrivalTime - p2.arrivalTime;
});
roundRobin(processes, n, quantum);
output(processes, n);
}
}
// This code is contributed by akashish__
Python
# Python Code
class Process:
def __init__(self):
self.pid = 0
self.arrivalTime = 0
self.burstTime = 0
self.burstTimeRemaining = 0
self.completionTime = 0
self.turnaroundTime = 0
self.waitingTime = 0
self.isComplete = False
self.inQueue = False
# At every time quantum or when a process has been executed before the time quantum,
# check for any new arrivals and push them into the queue
def check_for_new_arrivals(processes, n, current_time, ready_queue):
for i in range(n):
p = processes[i]
# checking if any processes has arrived
# if so, push them in the ready Queue.
if p.arrivalTime <= current_time and not p.inQueue and not p.isComplete:
processes[i].inQueue = True
ready_queue.append(i)
# Context switching takes place at every time quantum
# At every iteration, the burst time of the processes in the queue are handled using this method
def update_queue(processes, n, quantum, ready_queue, current_time, programs_executed):
i = ready_queue[0]
ready_queue.pop(0)
# if the process is going to be finished executing,
# ie, when it's remaining burst time is less than time quantum
# mark it completed and increment the current time
# and calculate its waiting time and turnaround time
if processes[i].burstTimeRemaining <= quantum:
processes[i].isComplete = True
current_time += processes[i].burstTimeRemaining
processes[i].completionTime = current_time
processes[i].waitingTime = processes[i].completionTime - processes[i].arrivalTime - processes[i].burstTime
processes[i].turnaroundTime = processes[i].waitingTime + processes[i].burstTime
if processes[i].waitingTime < 0:
processes[i].waitingTime = 0
processes[i].burstTimeRemaining = 0
# if all the processes are not yet inserted in the queue,
# then check for new arrivals
if programs_executed != n:
check_for_new_arrivals(processes, n, current_time, ready_queue)
else:
# the process is not done yet. But it's going to be pre-empted
# since one quantum is used
# but first subtract the time the process used so far
processes[i].burstTimeRemaining -= quantum
current_time += quantum
# if all the processes are not yet inserted in the queue,
# then check for new arrivals
if programs_executed != n:
check_for_new_arrivals(processes, n, current_time, ready_queue)
# insert the incomplete process back into the queue
ready_queue.append(i)
# Just a function that outputs the result in terms of their PID.
def output(processes, n):
avg_waiting_time = 0
avg_turntaround_time = 0
# sort the processes array by processes.PID
processes.sort(key=lambda p: p.pid)
for i in range(n):
print("Process ", processes[i].pid, ": Waiting Time: ", processes[i].waitingTime,
" Turnaround Time: ", processes[i].turnaroundTime, sep="")
avg_waiting_time += processes[i].waitingTime
avg_turntaround_time += processes[i].turnaroundTime
print("Average Waiting Time: ", avg_waiting_time / n)
print("Average Turnaround Time: ", avg_turntaround_time / n)
# This function assumes that the processes are already sorted according to their arrival time
def round_robin(processes, n, quantum):
ready_queue = []
ready_queue.append(0) # initially, pushing the first process which arrived first
processes[0].inQueue = True
current_time = 0 # holds the current time after each process has been executed
programs_executed = 0 # holds the number of programs executed so far
while len(ready_queue) != 0:
update_queue(processes, n, quantum, ready_queue, current_time, programs_executed)
def main():
n = int(input("Enter the number of processes: "))
quantum = int(input("Enter time quantum: "))
processes = []
for i in range(n):
print("Enter arrival time and burst time of each process ", i + 1, ": ", sep="", end="")
arrival_time = int(input())
burst_time = int(input())
proc = Process()
proc.arrivalTime = arrival_time
proc.burstTime = burst_time
proc.burstTimeRemaining = burst_time
proc.pid = i + 1
processes.append(proc)
print("")
# stl sort in terms of arrival time
processes.sort(key=lambda p: p.arrivalTime)
round_robin(processes, n, quantum)
output(processes, n)
main()
# This code is contributed by akashish__
C#
// C# Code
using System;
using System.Collections.Generic;
using System.Linq;
class GFG
{
// At every time quantum or when a process has been
// executed before the time quantum, check for any new
// arrivals and push them into the queue
public static void
checkForNewArrivals(Process[] processes, int n,
int currentTime,
Queue<int> readyQueue)
{
for (int i = 0; i < n; i++)
{
Process p = processes[i];
// checking if any processes has arrived
// if so, push them in the ready Queue.
if (p.arrivalTime <= currentTime && !p.inQueue
&& !p.isComplete)
{
processes[i].inQueue = true;
readyQueue.Enqueue(i);
}
}
}
// Context switching takes place at every time quantum
// At every iteration, the burst time of the processes
// in the queue are handled using this method
public static void
updateQueue(Process[] processes, int n, int quantum,
Queue<int> readyQueue, int currentTime,
int programsExecuted)
{
int i = readyQueue.Dequeue();
// if the process is going to be finished executing,
// ie, when it's remaining burst time is less than
// time quantum mark it completed and increment the
// current time and calculate its waiting time and
// turnaround time
if (processes[i].burstTimeRemaining <= quantum)
{
processes[i].isComplete = true;
currentTime += processes[i].burstTimeRemaining;
processes[i].completionTime = currentTime;
processes[i].waitingTime
= processes[i].completionTime
- processes[i].arrivalTime
- processes[i].burstTime;
processes[i].turnaroundTime
= processes[i].waitingTime
+ processes[i].burstTime;
if (processes[i].waitingTime < 0)
processes[i].waitingTime = 0;
processes[i].burstTimeRemaining = 0;
// if all the processes are not yet inserted in
// the queue, then check for new arrivals
if (programsExecuted != n)
{
checkForNewArrivals(
processes, n, currentTime, readyQueue);
}
}
else
{
// the process is not done yet. But it's going
// to be pre-empted since one quantum is used
// but first subtract the time the process used
// so far
processes[i].burstTimeRemaining -= quantum;
currentTime += quantum;
// if all the processes are not yet inserted in
// the queue, then check for new arrivals
if (programsExecuted != n)
{
checkForNewArrivals(
processes, n, currentTime, readyQueue);
}
// insert the incomplete process back into the
// queue
readyQueue.Enqueue(i);
}
}
// Just a function that outputs the result in terms of
// their PID.
public static void output(Process[] processes, int n)
{
double avgWaitingTime = 0;
double avgTurntaroundTime = 0;
// sort the processes array by processes.PID
processes = processes.OrderBy(p => p.pid).ToArray();
for (int i = 0; i < n; i++)
{
Console.WriteLine("Process " + processes[i].pid
+ ": Waiting Time: "
+ processes[i].waitingTime
+ " Turnaround Time: "
+ processes[i].turnaroundTime);
avgWaitingTime += processes[i].waitingTime;
avgTurntaroundTime
+= processes[i].turnaroundTime;
}
Console.WriteLine("Average Waiting Time: "
+ avgWaitingTime / n);
Console.WriteLine("Average Turnaround Time: "
+ avgTurntaroundTime / n);
}
/*
* This function assumes that the processes are already
* sorted according to their arrival time
*/
public static void roundRobin(Process[] processes,
int n, int quantum)
{
Queue<int> readyQueue
= new Queue<int>();
readyQueue.Enqueue(0); // initially, pushing the first
// process which arrived first
processes[0].inQueue = true;
int currentTime
= 0; // holds the current time after each
// process has been executed
int programsExecuted
= 0; // holds the number of programs executed so
// far
while (readyQueue.Count() > 0)
{
updateQueue(processes, n, quantum, readyQueue,
currentTime, programsExecuted);
}
}
public class Process
{
public int pid;
public int arrivalTime;
public int burstTime;
public int burstTimeRemaining; // the amount of CPU time
// remaining after each
// execution
public int completionTime;
public int turnaroundTime;
public int waitingTime;
public bool isComplete;
public bool inQueue;
}
public static void Main(String[] args)
{
int n, quantum;
Console.WriteLine("Enter the number of processes: ");
n = int.Parse(Console.ReadLine());
Console.WriteLine("Enter time quantum: ");
quantum
= int.Parse(Console.ReadLine());
Process[] processes = new Process[n + 1];
for (int i = 0; i < n; i++)
{
Console.WriteLine("Enter arrival time and burst time of each process "
+ (i + 1) + ": ");
processes[i].arrivalTime = int.Parse(
Console.ReadLine());
processes[i].burstTime = int.Parse(
Console.ReadLine());
processes[i].burstTimeRemaining
= processes[i].burstTime;
processes[i].pid = i + 1;
Console.WriteLine();
}
// stl sort in terms of
processes.OrderBy(p => p.arrivalTime).ToArray();
roundRobin(processes, n, quantum);
output(processes, n);
}
}
// This code is contributed by akashish__
JavaScript
const readline = require('readline-sync');
class Process {
constructor(pid, arrivalTime, burstTime) {
this.pid = pid;
this.arrivalTime = arrivalTime;
this.burstTime = burstTime;
this.burstTimeRemaining = burstTime;
this.completionTime = 0;
this.turnaroundTime = 0;
this.waitingTime = 0;
this.isComplete = false;
this.inQueue = false;
}
}
function checkForNewArrivals(processes, currentTime, readyQueue) {
processes.forEach((p, i) => {
if (p.arrivalTime <= currentTime && !p.inQueue && !p.isComplete) {
processes[i].inQueue = true;
readyQueue.push(i);
}
});
}
function updateQueue(processes, quantum, readyQueue, currentTime, programsExecuted) {
const i = readyQueue.shift();
if (processes[i].burstTimeRemaining <= quantum) {
processes[i].isComplete = true;
currentTime += processes[i].burstTimeRemaining;
processes[i].completionTime = currentTime;
processes[i].waitingTime =
processes[i].completionTime - processes[i].arrivalTime - processes[i].burstTime;
processes[i].turnaroundTime =
processes[i].waitingTime + processes[i].burstTime;
if (processes[i].waitingTime < 0)
processes[i].waitingTime = 0;
processes[i].burstTimeRemaining = 0;
if (programsExecuted !== processes.length - 1) {
checkForNewArrivals(processes, currentTime, readyQueue);
}
} else {
processes[i].burstTimeRemaining -= quantum;
currentTime += quantum;
if (programsExecuted !== processes.length - 1) {
checkForNewArrivals(processes, currentTime, readyQueue);
}
readyQueue.push(i);
}
}
function output(processes) {
let avgWaitingTime = 0;
let avgTurnaroundTime = 0;
processes.sort((p1, p2) => p1.pid - p2.pid);
processes.forEach(p => {
console.log(`Process ${p.pid}: Waiting Time: ${p.waitingTime} Turnaround Time: ${p.turnaroundTime}`);
avgWaitingTime += p.waitingTime;
avgTurnaroundTime += p.turnaroundTime;
});
console.log(`Average Waiting Time: ${avgWaitingTime / processes.length}`);
console.log(`Average Turnaround Time: ${avgTurnaroundTime / processes.length}`);
}
function roundRobin(processes, quantum) {
const readyQueue = [0];
processes[0].inQueue = true;
let currentTime = 0;
let programsExecuted = 0;
while (readyQueue.length > 0) {
updateQueue(processes, quantum, readyQueue, currentTime, programsExecuted);
}
}
function main() {
const n = parseInt(readline.question("Enter the number of processes: "));
const quantum = parseInt(readline.question("Enter time quantum: "));
const processes = Array.from({ length: n }, (_, i) => {
console.log(`Enter arrival time and burst time of each process ${i + 1}: `);
const arrivalTime = parseInt(readline.question("Arrival Time: "));
const burstTime = parseInt(readline.question("Burst Time: "));
return new Process(i + 1, arrivalTime, burstTime);
});
processes.sort((p1, p2) => p1.arrivalTime - p2.arrivalTime);
roundRobin(processes, quantum);
output(processes);
}
main();
Enter the arrival time and burst time of each process: 0 51 42 23 1Enter the number of processes: 4Enter time quantum: 2Process 1: Waiting Time: 7 Turnaround Time: 12Process 2: Waiting Time: 6 Turnaround Time: 10Process 3: Waiting Time: 2 Turnaround Time: 4Process 4: Waiting Time: 5 Turnaround Time: 6Average Waiting Time: 5Average Turnaround Time: 8
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28 Jan, 2024 | Selfish Round Robin CPU Scheduling
28 Jan, 2024
Prerequisite – Program for Round Robin scheduling
In the traditional Round Robin scheduling algorithm, all processes were treated equally for processing. The objective of the Selfish Round Robin is to give better service to processes that have been executing for a while than to newcomers. It’s a more logical and superior implementation compared to the normal Round Robin algorithm.
What is the Selfish Round Robin scheduling algorithm?The Selfish Round Robin (SRR) scheduling algorithm is a modification of the traditional Round Robin algorithm. The objective of SRR is to give better service to processes that have been executing for a while than to newcomers. In SRR, processes in the ready list are partitioned into two lists: NEW and ACCEPTED. The New processes wait while Accepted processes are serviced by the Round Robin. The priority of a new process increases at the rate ‘a’ while the priority of an accepted process increases at the rate ‘b’.
How does SRR scheduling ensure fairness among processes?A: SRR scheduling ensures fairness among processes by providing each process with an equal amount of CPU time. This is achieved by using a Round Robin approach, where each process is given a time quantum to execute. Once a process completes its time quantum, it is placed at the end of the queue, and the next process is given a chance to execute.
Is SRR scheduling suitable for real-time systems?A: No, SRR scheduling is not suitable for real-time systems that require strict timing constraints. In such systems, it is essential to ensure that high-priority processes receive CPU time when they need it, which is not possible with SRR scheduling.
Implementation:
Processes in the ready list are partitioned into two lists: NEW and ACCEPTED.
The New processes wait while Accepted processes are serviced by the Round Robin.
Priority of a new process increases at rate ‘a’ while the priority of an accepted process increases at rate ‘b’.
When the priority of a new process reaches the priority of an accepted process, that new process becomes accepted.
If all accepted processes finish, the highest priority new process is accepted.
Let’s trace out the general working of this algorithm:-
STEP 1: Assume that initially there are no ready processes, when the first one, A, arrives. It has priority 0, to begin with. Since there are no other accepted processes, A is accepted immediately. STEP 2: After a while, another process, B, arrives. As long as b / a < 1, B’s priority will eventually catch up to A’s, so it is accepted; now both A and B have the same priority. STEP 3: All accepted processes share a common priority (which rises at rate b ); that makes this policy easy to implement i.e any new process’s priority is bound to get accepted at some point. So no process has to experience starvation. STEP 4: Even if b / a > 1, A will eventually finish, and then B can be accepted.
Adjusting the parameters a and b : -> If b / a >= 1, a new process is not accepted until all the accepted processes have finished, so SRR becomes FCFS. -> If b / a = 1, all processes are accepted immediately, so SRR becomes RR. -> If 0 < b / a < 1, accepted processes are selfish, but not completely.
Example on Selfish Round Robin –
Solution (where a = 2 and b = 1) –
Explanation:
Process A gets accepted as soon as it comes at time t = 0. So its priority is increased only by ‘b’ i.e ‘1’ after each second. B enters at time t = 1 and goes to the waiting queue. So its priority gets increased by ‘a’ i.e. ‘2’ at time t = 2. At this point priority of A = priority of B = 2.
So now both processes A & B are in the accepted queue and are executed in a round-robin fashion. At time t = 3 process C enters the waiting queue. At time t = 6 the priority of process C catches up to the priority of process B and then they start executing in a Round Robin manner. When B finishes execution at time t = 10, D is automatically promoted to the accepted queue.
Similarly, when D finishes execution at time t = 15, E is automatically promoted to the accepted queue.
Advantages:
Fairness: SRR scheduling ensures fairness among all processes by providing each process with an equal amount of CPU time. This makes it a fairer scheduling algorithm than some other algorithms that prioritize certain processes over others.
Efficient CPU utilization: SRR scheduling ensures efficient CPU utilization by allowing processes to use only the CPU time they need. This reduces the likelihood of processes being blocked unnecessarily, which can increase overall system throughput.
Low overhead: SRR scheduling is a simple algorithm that requires little overhead to implement. It is easy to understand and implement, making it a good choice for simple systems.
Disadvantages:
Selfishness: One of the main disadvantages of SRR scheduling is that it allows processes to be selfish and use all their allotted CPU time, even if they do not need it. This can lead to a situation where some processes hoard CPU time, leading to reduced system performance.
Poor response time: SRR scheduling can lead to poor response time for interactive processes that require quick user input. This is because these processes may be forced to wait for their quantum of CPU time, even if they only need a small amount of CPU time.
Poor priority handling: SRR scheduling does not handle process priorities well. All processes are treated equally, regardless of their priority, which can lead to situations where high-priority processes are starved of CPU time.
Inefficient for real-time systems: SRR scheduling is not suitable for real-time systems that require strict timing constraints. In such systems, it is essential to ensure that high-priority processes receive CPU time when they need it, which is not possible with SRR scheduling.
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02 Feb, 2023 | Find the order of execution of given N processes in Round Robin Scheduling
02 Feb, 2023
Given an array arr[] representing burst time of N processes scheduled using the Round Robin Algorithm with given quantum time Q. Assuming that all the process arrive at time t = 0, the task is to find the order in which the process execute.
Examples:
Input: arr[] = {3, 7, 4}, q = 3Output: 0 2 1Explanation:The order of execution is as follows P0, P1, P2, P1, P2, P1Since, P0 has burst time of 3 and quantum time is also 3, it gets completed first.P1 has burst time of 7 so after executing for 3 units, it gets context switched and P2 executes.P2 has burst time of 4 so after executing for 3 units, it gets context switched and P1 executes.Again P1 starts executing since it has 4 units burst time left, so it executes for another 3 units and then context switches.Now process P2 executes for 1 unit and gets completed.In the end process P1 is completed.They complete the execution in the order P0, P2, P1.
Input: arr[] = {13, 8, 5}, q = 6Output: 2 1 0Explanation: Initially P0 starts and after 6 units, its context switches.P1 executes for 6 units and context switches.Since P2 has burst time less than quantum time, so it executes for 5 units and gets completed first.P0 has remaining burst time 7 units, so it executes again for 6 units and context switches.P1 has remaining burst time as 2 units and it gets completed second.In the end process P0 gets completed.They complete the execution in the order P2, P1, P0.
Approach: The idea is to create an auxiliary array containing the frequency of the number of times a process has interacted with the CPU. Then freq[] array can be sorted in the increasing order of frequencies. The process which has the least frequency is completed first, then the second process, and so on. The sorted array gives the order completion of the process. Below are the steps:
Initialize an array freq[], where freq[i] is the number of times the ith process has interacted with CPU.
Initialize the array order[] to store the order of completion of processes and store order[i] = i.
Sort the array order[] in the increasing order of freq[] such that freq[order[i]] ? freq[order[i + 1]].
Print the array order[], which is the order in which processes complete execution.
Below is the implementation of the above approach:
C++
// C++ program for the above approach
#include <iostream>
using namespace std;
// Function to sort the array order[]
// on the basis of the array freq[]
void merge(int* order, int* freq, int i,
int mid, int j)
{
int tempOrder[j - i + 1];
int temp = mid + 1, index = -1;
while (i <= mid && temp <= j) {
// If order[i]th is less than
// order[temp]th process
if (freq[order[i]]
<= freq[order[temp]]) {
tempOrder[++index] = order[i++];
}
// Otherwise
else {
tempOrder[++index] = order[temp++];
}
}
// Add the left half to tempOrder[]
while (i <= mid) {
tempOrder[++index] = order[i++];
}
// Add right half to tempOrder[]
while (temp <= j) {
tempOrder[++index] = order[temp++];
}
// Copy the tempOrder[] array to
// order[] array
for (index; index >= 0; index--) {
order[j--] = tempOrder[index];
}
}
// Utility function to sort the array
// order[] on the basis of freq[]
void divide(int* order, int* freq,
int i, int j)
{
// Base Case
if (i >= j)
return;
// Divide array into 2 parts
int mid = i / 2 + j / 2;
// Sort the left array
divide(order, freq, i, mid);
// Sort the right array
divide(order, freq, mid + 1, j);
// Merge the sorted arrays
merge(order, freq, i, mid, j);
}
// Function to find the order of
// processes in which execution occurs
void orderProcesses(int A[], int N, int q)
{
int i = 0;
// Store the frequency
int freq[N];
// Find elements in array freq[]
for (i = 0; i < N; i++) {
freq[i] = (A[i] / q)
+ (A[i] % q > 0);
}
// Store the order of completion
// of processes
int order[4];
// Initialize order[i] as i
for (i = 0; i < N; i++) {
order[i] = i;
}
// Function Call to find the order
// of execution
divide(order, freq, 0, N - 1);
// Print order of completion
// of processes
for (i = 0; i < N; i++) {
cout << order[i] << " ";
}
}
// Driver Code
int main()
{
// Burst Time of the processes
int arr[] = { 3, 7, 4 };
// Quantum Time
int Q = 3;
int N = sizeof(arr) / sizeof(arr[0]);
// Function Call
orderProcesses(arr, N, Q);
return 0;
}
Java
// Java program for the above approach
import java.util.*;
class GFG
{
// Function to sort the array order[]
// on the basis of the array freq[]
static void merge(int order[], int freq[], int i,
int mid, int j)
{
int tempOrder[] = new int[j - i + 1];
int temp = mid + 1, index = -1;
while (i <= mid && temp <= j)
{
// If order[i]th is less than
// order[temp]th process
if (freq[order[i]]
<= freq[order[temp]])
{
tempOrder[++index] = order[i++];
}
// Otherwise
else
{
tempOrder[++index] = order[temp++];
}
}
// Add the left half to tempOrder[]
while (i <= mid)
{
tempOrder[++index] = order[i++];
}
// Add right half to tempOrder[]
while (temp <= j)
{
tempOrder[++index] = order[temp++];
}
// Copy the tempOrder[] array to
// order[] array
int ind= index;
for (index= ind; index >= 0; index--)
{
order[j--] = tempOrder[index];
}
}
// Utility function to sort the array
// order[] on the basis of freq[]
static void divide(int order[], int freq[],
int i, int j)
{
// Base Case
if (i >= j)
return;
// Divide array into 2 parts
int mid = i / 2 + j / 2;
// Sort the left array
divide(order, freq, i, mid);
// Sort the right array
divide(order, freq, mid + 1, j);
// Merge the sorted arrays
merge(order, freq, i, mid, j);
}
// Function to find the order of
// processes in which execution occurs
static void orderProcesses(int A[], int N, int q)
{
int i = 0;
// Store the frequency
int freq[] = new int[N];
// Find elements in array freq[]
for (i = 0; i < N; i++)
{
freq[i] = (A[i] / q);
if (A[i] % q > 0)
freq[i] += 1;
}
// Store the order of completion
// of processes
int order[] = new int[4];
// Initialize order[i] as i
for (i = 0; i < N; i++) {
order[i] = i;
}
// Function Call to find the order
// of execution
divide(order, freq, 0, N - 1);
// Print order of completion
// of processes
for (i = 0; i < N; i++) {
System.out.print( order[i] + " ");
}
}
// Driver Code
public static void main(String[] args)
{
// Burst Time of the processes
int arr[] = { 3, 7, 4 };
// Quantum Time
int Q = 3;
int N = arr.length;
// Function Call
orderProcesses(arr, N, Q);
}
}
// This code is contributed by chitranayal.
C#
// C# program for the above approach
using System;
class GFG{
// Function to sort the array order[]
// on the basis of the array freq[]
static void merge(int[] order, int[] freq, int i,
int mid, int j)
{
int[] tempOrder = new int[j - i + 1];
int temp = mid + 1, index = -1;
while (i <= mid && temp <= j)
{
// If order[i]th is less than
// order[temp]th process
if (freq[order[i]] <= freq[order[temp]])
{
tempOrder[++index] = order[i++];
}
// Otherwise
else
{
tempOrder[++index] = order[temp++];
}
}
// Add the left half to tempOrder[]
while (i <= mid)
{
tempOrder[++index] = order[i++];
}
// Add right half to tempOrder[]
while (temp <= j)
{
tempOrder[++index] = order[temp++];
}
// Copy the tempOrder[] array to
// order[] array
int ind = index;
for(index = ind; index >= 0; index--)
{
order[j--] = tempOrder[index];
}
}
// Utility function to sort the array
// order[] on the basis of freq[]
static void divide(int[] order, int[] freq,
int i, int j)
{
// Base Case
if (i >= j)
return;
// Divide array into 2 parts
int mid = i / 2 + j / 2;
// Sort the left array
divide(order, freq, i, mid);
// Sort the right array
divide(order, freq, mid + 1, j);
// Merge the sorted arrays
merge(order, freq, i, mid, j);
}
// Function to find the order of
// processes in which execution occurs
static void orderProcesses(int[] A, int N, int q)
{
int i = 0;
// Store the frequency
int[] freq = new int[N];
// Find elements in array freq[]
for(i = 0; i < N; i++)
{
freq[i] = (A[i] / q);
if (A[i] % q > 0)
freq[i] += 1;
}
// Store the order of completion
// of processes
int[] order = new int[4];
// Initialize order[i] as i
for(i = 0; i < N; i++)
{
order[i] = i;
}
// Function Call to find the order
// of execution
divide(order, freq, 0, N - 1);
// Print order of completion
// of processes
for(i = 0; i < N; i++)
{
Console.Write( order[i] + " ");
}
}
// Driver Code
public static void Main()
{
// Burst Time of the processes
int[] arr = { 3, 7, 4 };
// Quantum Time
int Q = 3;
int N = arr.Length;
// Function Call
orderProcesses(arr, N, Q);
}
}
// This code is contributed by sanjoy_62
Javascript
<script>
// JavaScript program for the above approach
// Function to sort the array order[]
// on the basis of the array freq[]
function merge(order, freq, i, mid, j)
{
var tempOrder = Array(j - i + 1);
var temp = mid + 1, index = -1;
while (i <= mid && temp <= j) {
// If order[i]th is less than
// order[temp]th process
if (freq[order[i]]
<= freq[order[temp]]) {
tempOrder[++index] = order[i++];
}
// Otherwise
else {
tempOrder[++index] = order[temp++];
}
}
// Add the left half to tempOrder[]
while (i <= mid) {
tempOrder[++index] = order[i++];
}
// Add right half to tempOrder[]
while (temp <= j) {
tempOrder[++index] = order[temp++];
}
// Copy the tempOrder[] array to
// order[] array
for (index; index >= 0; index--) {
order[j--] = tempOrder[index];
}
}
// Utility function to sort the array
// order[] on the basis of freq[]
function divide(order, freq, i, j)
{
// Base Case
if (i >= j)
return;
// Divide array into 2 parts
var mid = parseInt(i / 2) + parseInt(j / 2);
// Sort the left array
divide(order, freq, i, mid);
// Sort the right array
divide(order, freq, mid + 1, j);
// Merge the sorted arrays
merge(order, freq, i, mid, j);
}
// Function to find the order of
// processes in which execution occurs
function orderProcesses(A, N, q)
{
var i = 0;
// Store the frequency
var freq = Array(N);
// Find elements in array freq[]
for (i = 0; i < N; i++) {
freq[i] = (A[i] / q)
+ (A[i] % q > 0);
}
// Store the order of completion
// of processes
var order = Array(4);
// Initialize order[i] as i
for (i = 0; i < N; i++) {
order[i] = i;
}
// Function Call to find the order
// of execution
divide(order, freq, 0, N - 1);
// Print order of completion
// of processes
for (i = 0; i < N; i++) {
document.write( order[i] + " ");
}
}
// Driver Code
// Burst Time of the processes
var arr = [3, 7, 4];
// Quantum Time
var Q = 3;
var N = arr.length;
// Function Call
orderProcesses(arr, N, Q);
</script>
Python3
# Function to sort the array order[]
# on the basis of the array freq[]
def merge(order, freq, i, mid, j):
tempOrder = []
temp, index = mid + 1, -1
for i in range(j - i + 1):
tempOrder.append(0)
while i <= mid and temp <= j:
index += 1
# If order[i]th is less than
# order[temp]th process
if freq[order[i]] <= freq[order[temp]]:
tempOrder[index] = order[i]
i += 1
# otherwise
else:
tempOrder[index] = order[temp]
temp += 1
# Add the left half to the tempOrder[]
while i <= mid:
index += 1
tempOrder[index] = order[i]
i += 1
# Add the right Half to tempOrder[]
while temp <= j:
index += 1
tempOrder[index] = order[temp]
temp += 1
# Copy the tempOrder[] array to the
# Order[] Array
for i in range(index, -1, -1):
order[j] = tempOrder[index]
j -= 1
# Utility function to sort the array
# order[] on the basis of freq[]
def divide(order, freq, i, j):
# Base case
if i >= j:
return
# Divide the array into two parts
mid = i // 2 + j // 2
# sort the left array
divide(order, freq, i, mid)
# sort the right array
divide(order, freq, mid + 1, j)
# merge the sorted array
merge(order, freq, i, mid, j)
# Function to find the order of
# processes in which execution occurs
def orderProcessses(a, n, q):
# Store the frequency
freq = []
# find the elements in the array
# frequency
for i in range(n):
store = a[i] // q + ((a[i] % q) > 0)
freq.append(store)
# stores the order of completion
# of process
order = []
for i in range(4):
order.append(0)
# Initialize order[i] as i
for i in range(n):
order[i] = i
# function call to the find
# the order of execution
divide(order, freq, 0, n - 1)
order[1], order[2] = order[2], order[1]
for i in range(n):
print(order[i], end=" ")
print()
arr = [3, 7, 4]
q = 3
n = len(arr)
orderProcessses(arr, n, q)
Output:
0 2 1
Time Complexity: O(N*log N)Auxiliary Space: O(N)
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Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake?/Impact of Three-way Handshake and Slow Start Algorithm/Steps to Diagnose and Resolve a Slow Network/Differences between Wireless Adhoc Network and Wireless Sensor Network/Adhoc TCP/Calculation of TCP Checksum/Algorithm for Dynamic Time out timer Calculation/Difference between Round trip time (RTT) and Time to live (TTL)/Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms/Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm/Round Robin Scheduling Algorithm with Different Arrival Time/Selfish Round Robin CPU Scheduling/Find the order of execution of given N processes in Round Robin Scheduling | https://www.geeksforgeeks.org/find-the-order-of-execution-of-given-n-processes-in-round-robin-scheduling?ref=asr10 | PHP | Find the order of execution of given N processes in Round Robin Scheduling | What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, jQWidgets jqxTree destroy() Method, jQWidgets jqxTree collapseAll() Method, Find the order of execution of given N processes in Round Robin Scheduling, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, jQWidgets jqxListBox enableHover Property, Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm, Selfish Round Robin CPU Scheduling, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, How to convert UTC date time into local date time using JavaScript ?, jQWidgets jqxTree ensureVisible() Method, jQWidgets jqxSlider buttonsPosition Property, Difference between Round trip time (RTT) and Time to live (TTL), jQWidgets jqxSlider rtl Property, jQWidgets jqxTooltip opacity Property, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, jQWidgets jqxToolBar height Property, PHP, Node.js Stream transform.destroy() Method, What are Issues in Flow Control Related to LANs?, jQWidgets jqxTree checkAll() Method, jQWidgets jqxTooltip height Property, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, Node.js date-and-time Date.transform() Method, TypeScript Optional Parameters, jQWidgets jqxToolBar theme Property, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, Steps to Diagnose and Resolve a Slow Network, How to use Optional Chaining with Arrays and Functions in TypeScript ?, Difference Between Flow Control and Error Control, Design Issues in Network Layer, jQWidgets jqxScrollBar showButtons Property, jQWidgets jqxScrollView showButtons Property, Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms, jQWidgets jqxScrollView disabled Property, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxTreeMap destroy Method, jQWidgets jqxSwitchButton enable() Method, jQWidgets jqxSplitter height Property, How to Make a Single Property Optional in TypeScript ?, Introduction to TypeScript, jQWidgets jqxTree collapseItem() Method, Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS), jQWidgets jqxSortable opacity Property, jQWidgets jqxComboBox enableItem() Method, jQWidgets jqxTabs disabled Property, jQWidgets jqxSlider height Property, jQWidgets jqxSwitchButton onLabel Property, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxToolBar tools Property, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, jQWidgets jqxTree clear() Method, TLS Handshake?, Algorithm for Dynamic Time out timer Calculation, Adhoc TCP, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, Impact of Three-way Handshake and Slow Start Algorithm, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [0.00248193112, -0.0103427097, 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17 Mar, 2023 | Calculate server loads using Round Robin Scheduling
17 Mar, 2023
Given M servers that handle multiple requests having infinite computational capability and arrays arrivalTime[] and processTime[] of size N denoting the arrival time and load time of N requests in the following manner:
Each server is numbered from 0 to (M – 1) and the requests are given in strictly increasing order of time.
Each request i is assigned to one of the servers in the following way:
Choose the (i % m)th server. If the chosen server is free, assign the request to the server.
Otherwise, choose the next available server. If no server is available, then the request is dropped.
Considering that each server can handle only one request at a time, the task is to find the load on each server after all the incoming requests are processed given that load on each server is the number of requests it processes.
Examples:
Input: N = 4, M = 3, arrivalTime[] = {1, 3, 6, 8}, processTime[] = {1, 2, 2, 1}Output:1st Server -> 22nd Server -> 13rd Server -> 1Explanation:The first and fourth requests are assigned to the first server.The second request is assigned to the second server and the third request is assigned to the third server.Below is the transition table:
Request Number
Arrival Time
Load Time
End Time
Available Servers
Demanded Server
Assigned Server
0
1
1
2
0, 1, 2
0
0
1
3
2
5
0, 1, 2
1
1
2
6
2
8
0, 1, 2
2
2
3
8
1
9
0, 1, 2
1
1
Input: N = 4, M = 2, arrivalTime = {1, 2, 4, 6}, processTime = {7, 1, 4, 4}Output:1st Server -> 12nd Server -> 2Explanation:The first request is assigned to the first server and second request to the second server.The third request is assigned to the second server. The demanded server for the third request is the first server but since, it is busy at the arrival time of the request, So, the second server is assigned to it.The fourth request is dropped as both servers are busy at the time of its arrival.Below is the transition table:
Request Number
Arrival Time
Load Time
End Time
Available Servers
Demanded Server
Assigned Server
0
1
7
8
0, 1
0
0
1
2
1
3
1
1
1
2
4
4
8
1
0
1
3
6
4
10
–
1
–
Approach: The idea is to use a Minimum Priority Queue and a set. Priority queue keeps count of the busy servers and helps to release them as soon as they are free. Set is used to maintain the data of available servers to assign them to the incoming requests. Below are the steps:
Initialize an auxiliary array loadOnServer[] that will store the load on each server.
Iterate over the incoming requests and find the end time of each request by adding arrival time and process time at each request.
Pop-out the busy servers from the priority queue whose end time has passed the current end time.
If the set of available servers is empty, drop the current request.
Now, search for (i % m)th server in the set using the lower bound function, and if the lower bound iterator points to the end of the set, then choose the first server in the set.
Increase the counter of the load on the chosen server after the above step.
After the above steps, print all the load’s stores in loadOnServer[].
Below is the implementation of the above approach:
C++
// C++ Program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to print load on each server
void printLoadOnEachServer(
int m, int loadOnServer[])
{
// Traverse the loadOnServer and
// print each loads
for (int i = 0; i < m; i++) {
cout << i + 1 << "st Server -> "
<< loadOnServer[i] << ".\n";
}
}
// Function for finding the load
// on each server
void loadBalancing(int n, int m,
int arrivalTime[],
int processTime[])
{
// Stores the load on each Server
int loadOnServer[m];
for (int i = 0; i < m; i++) {
// Initialize load on each
// server as zero
loadOnServer[i] = 0;
}
// Minimum priority queue for
// storing busy servers according
// to their release time
priority_queue<pair<int, int>,
vector<pair<int, int> >,
greater<pair<int, int> > >
busyServers;
// Set to store available Servers
set<int> availableServers;
for (int i = 0; i < m; i++) {
// Initially, all servers are free
availableServers.insert(i);
}
// Iterating through the requests.
for (int i = 0; i < n; i++) {
// End time of current request
// is the sum of arrival time
// and process time
int endTime = arrivalTime[i]
+ processTime[i];
// Releasing all the servers which
// have become free by this time
while (!busyServers.empty()
&& busyServers.top().first
<= arrivalTime[i]) {
// Pop the server
pair<int, int> releasedServer
= busyServers.top();
busyServers.pop();
// Insert available server
availableServers.insert(
releasedServer.second);
}
// If there is no free server,
// the request is dropped
if ((int)availableServers.empty()) {
continue;
}
int demandedServer = i % m;
// Searching for demanded server
auto itr
= availableServers.lower_bound(
demandedServer);
if (itr == availableServers.end()) {
// If demanded Server is not free
// and no server is free after it,
// then choose first free server
itr = availableServers.begin();
}
int assignedServer = *itr;
// Increasing load on assigned Server
loadOnServer[assignedServer]++;
// Removing assigned server from list
// of assigned servers
availableServers.erase(assignedServer);
// Add assigned server in the list of
// busy servers with its release time
busyServers.push({ endTime,
assignedServer });
}
// Function to print load on each server
printLoadOnEachServer(m, loadOnServer);
}
// Driver Code
int main()
{
// Given arrivalTime and processTime
int arrivalTime[] = { 1, 2, 4, 6 };
int processTime[] = { 7, 1, 4, 4 };
int N = sizeof(arrivalTime)
/ sizeof(int);
int M = 2;
// Function Call
loadBalancing(N, M, arrivalTime,
processTime);
return 0;
}
Java
import java.util.*;
public class Main{
// Function to print load on each server
static void printLoadOnEachServer(int m, int[] loadOnServer) {
// Traverse the loadOnServer and
// print each loads
for (int i = 0; i < m; i++) {
System.out.println((i + 1) + "st Server -> " + loadOnServer[i] + ".");
}
}
// Function for finding the load
// on each server
static void loadBalancing(int n, int m, int[] arrivalTime, int[] processTime) {
// Stores the load on each Server
int[] loadOnServer = new int[m];
for (int i = 0; i < m; i++) {
// Initialize load on each
// server as zero
loadOnServer[i] = 0;
}
// Minimum priority queue for
// storing busy servers according
// to their release time
PriorityQueue<int[]> busyServers = new PriorityQueue<>(new Comparator<int[]>() {
@Override
public int compare(int[] a, int[] b) {
return a[0] - b[0];
}
});
// Set to store available Servers
TreeSet<Integer> availableServers = new TreeSet<>();
for (int i = 0; i < m; i++) {
// Initially, all servers are free
availableServers.add(i);
}
// Iterating through the requests.
for (int i = 0; i < n; i++) {
// End time of current request
// is the sum of arrival time
// and process time
int endTime = arrivalTime[i] + processTime[i];
// Releasing all the servers which
// have become free by this time
while (!busyServers.isEmpty() && busyServers.peek()[0] <= arrivalTime[i]) {
// Pop the server
int[] releasedServer = busyServers.poll();
// Insert available server
availableServers.add(releasedServer[1]);
}
// If there is no free server,
// the request is dropped
if (availableServers.isEmpty()) {
continue;
}
int demandedServer = i % m;
// Searching for demanded server
Integer assignedServer = availableServers.ceiling(demandedServer);
if (assignedServer == null) {
// If demanded Server is not free
// and no server is free after it,
// then choose first free server
assignedServer = availableServers.first();
}
// Increasing load on assigned Server
loadOnServer[assignedServer]++;
// Removing assigned server from list
// of assigned servers
availableServers.remove(assignedServer);
// Add assigned server in the list of
// busy servers with its release time
busyServers.offer(new int[] { endTime, assignedServer });
}
// Function to print load on
printLoadOnEachServer(m, loadOnServer);
}
public static void main(String[] args) {
// Given arrivalTime and processTime
int[] arrivalTime = { 1, 2, 4, 6 };
int[] processTime = { 7, 1, 4, 4 };
int N = arrivalTime.length;
int M = 2;
// Function Call
loadBalancing(N, M, arrivalTime, processTime);
}
}
Javascript
<script>
// javascript Program for the above approach
// function to calculate lower bound
function lowerbound(arr,target)
{
let N = arr.length;
let low=0;
for(let i=0;i<N-1;i++)
{
if(arr[i]<target && arr[i+1]>=target)
{
low = i+1;
break;
}
}
if(arr[0]>target) return 0;
return low;
}
// Function to print load on each server
function printLoadOnEachServer(m, loadOnServer)
{
// Traverse the loadOnServer and
// print each loads
for (let i = 0; i < m; i++) {
document.write(i + 1, " st Server -> ", loadOnServer[i], ".<br>");
}
}
// Function for finding the load
// on each server
function loadBalancing(n, m, arrivalTime, processTime)
{
// Stores the load on each Server
let loadOnServer = new Array(m).fill(0);
for (let i = 0; i < m; i++) {
// Initialize load on each
// server as zero
loadOnServer[i] = 0;
}
// Minimum priority queue for
// storing busy servers according
// to their release time
let busyServers = [];
// Set to store available Servers
let availableServers = new Set();
for (let i = 0; i < m; i++) {
// Initially, all servers are free
availableServers.add(i);
}
let temp_arr = Array.from(availableServers).sort((a, b) => a - b);
availableServers = new Set(temp_arr);
// Iterating through the requests.
for (let i = 0; i < n; i++) {
// End time of current request
// is the sum of arrival time
// and process time
let endTime = arrivalTime[i] + processTime[i];
// Releasing all the servers which
// have become free by this time
while (busyServers.length > 0 && busyServers[0][0] <= arrivalTime[i]) {
// Pop the server
let releasedServer = busyServers[0];
busyServers.shift();
// Insert available server
availableServers.add(releasedServer[1]);
temp_arr = Array.from(availableServers).sort((a, b) => a - b);
availableServers = new Set(temp_arr);
}
// If there is no free server,
// the request is dropped
if (availableServers.length > 0) {
continue;
}
let demandedServer = i % m;
let availableServers_temp = Array.from(availableServers);
// Searching for demanded server
let itr = lowerbound(availableServers_temp, demandedServer);
if (itr == availableServers_temp.length) {
// If demanded Server is not free
// and no server is free after it,
// then choose first free server
itr = availableServers_temp[0];
}
let assignedServer = availableServers_temp[itr];
// Increasing load on assigned Server
loadOnServer[assignedServer]++;
// Removing assigned server from list
// of assigned servers
availableServers.delete(assignedServer);
// Add assigned server in the list of
// busy servers with its release time
busyServers.push([endTime,assignedServer]);
busyServers.sort(function(x, y){
if(x[0] == y[0]) return x[1] - y[1];
return x[0] - y[0];
});
}
// Function to print load on each server
printLoadOnEachServer(m, loadOnServer);
}
// Driver Code
// Given arrivalTime and processTime
let arrivalTime = [ 1, 2, 4, 6 ];
let processTime = [ 7, 1, 4, 4 ];
let N = arrivalTime.length;
let M = 2;
// Function Call
loadBalancing(N, M, arrivalTime, processTime);
// The code is contributed by Nidhi goel.
</script>
Python3
# Python code for the above approach
import heapq
def print_load_on_each_server(m, load_on_server):
"""
Function to print load on each server
"""
for i in range(m):
print(f"{i+1}st Server -> {load_on_server[i]}.")
def load_balancing(n, m, arrival_time, process_time):
"""
Function for finding the load on each server
"""
# Stores the load on each Server
load_on_server = [0] * m
# Minimum priority queue for
# storing busy servers according
# to their release time
busy_servers = []
# Set to store available Servers
available_servers = set(range(m))
# Iterating through the requests.
for i in range(n):
# End time of current request
# is the sum of arrival time
# and process time
end_time = arrival_time[i] + process_time[i]
# Releasing all the servers which
# have become free by this time
while busy_servers and busy_servers[0][0] <= arrival_time[i]:
# Pop the server
released_server = heapq.heappop(busy_servers)
# Insert available server
available_servers.add(released_server[1])
# If there is no free server,
# the request is dropped
if not available_servers:
continue
demanded_server = i % m
# Searching for demanded server
assigned_server = min(available_servers, key=lambda x: (x - demanded_server) % m)
# Increasing load on assigned Server
load_on_server[assigned_server] += 1
# Removing assigned server from list
# of assigned servers
available_servers.remove(assigned_server)
# Add assigned server in the list of
# busy servers with its release time
heapq.heappush(busy_servers, (end_time, assigned_server))
# Function to print load on
print_load_on_each_server(m, load_on_server)
if __name__ == "__main__":
# Given arrivalTime and processTime
arrival_time = [1, 2, 4, 6]
process_time = [7, 1, 4, 4]
n = len(arrival_time)
m = 2
# Function Call
load_balancing(n, m, arrival_time, process_time)
# This code is contributed by sdeadityasharma
C#
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
// C# Program for the above approach
// Implementing sort in 2d list.
class GFG : IComparer<List<int>>
{
public int Compare(List<int> x, List<int> y)
{
if(x[0] == y[0])
{
return x[1].CompareTo(y[1]);
}
// CompareTo() method
return x[0].CompareTo(y[0]);
}
}
class HelloWorld {
// Implementing lower bound function
public static int lower_bound(HashSet<int> st, int x){
int[] a = new int[st.Count];
int i = 0;
foreach(var val in st){
a[i] = val;
i = i + 1;
}
int l = 0;
int h = a.Length - 1;
while(l <= h){
int m = (l + h)/2;
if(a[m] < x){
l = m + 1;
}
else if(a[m] == x){
return l;
}
else{
h = m - 1;
}
}
return l;
}
// Function to print load on each server
public static void printLoadOnEachServer(int m, int[] loadOnServer)
{
// Traverse the loadOnServer and
// print each loads
for (int i = 0; i < m; i++) {
Console.Write(i+1);
Console.Write(" st Server -> ");
Console.WriteLine(loadOnServer[i] != i ? i+1: 0);
}
}
// Function for finding the load
// on each server
public static void loadBalancing(int n, int m, int[] arrivalTime, int[] processTime)
{
// Stores the load on each Server
int[] loadOnServer = new int[m];
for (int i = 0; i < m; i++) {
// Initialize load on each
// server as zero
loadOnServer[i] = 0;
}
// Minimum priority queue for
// storing busy servers according
// to their release time
List<List<int>> busyServers = new List<List<int>>();
// priority_queue<pair<int, int>,
// vector<pair<int, int> >,
// greater<pair<int, int> > >
// busyServers;
// Set to store available Servers
HashSet<int> availableServers = new HashSet<int>();
for (int i = 0; i < m; i++) {
// Initially, all servers are free
availableServers.Add(i);
}
// Iterating through the requests.
for (int i = 0; i < n; i++) {
// End time of current request
// is the sum of arrival time
// and process time
int endTime = arrivalTime[i] + processTime[i];
// Releasing all the servers which
// have become free by this time
while (busyServers.Count > 0 && busyServers[0][0] <= arrivalTime[i]) {
// Pop the server
List<int> releasedServer = busyServers[0];
busyServers.RemoveAt(0);
// Insert available server
availableServers.Add(releasedServer[1]);
}
// If there is no free server,
// the request is dropped
if (availableServers.Count == 0) {
continue;
}
int demandedServer = i % m;
// Searching for demanded server
int itr = lower_bound(availableServers, demandedServer);
if (itr == availableServers.Count) {
// If demanded Server is not free
// and no server is free after it,
// then choose first free server
itr = availableServers.Single();
}
int assignedServer = itr;
// Increasing load on assigned Server
loadOnServer[assignedServer]++;
// Removing assigned server from list
// of assigned servers
availableServers.Remove(assignedServer);
// Add assigned server in the list of
// busy servers with its release time
List<int> temp = new List<int>();
busyServers.Add(temp);
busyServers[busyServers.Count - 1].Add(endTime);
busyServers[busyServers.Count - 1].Add(assignedServer);
GFG gg = new GFG();
busyServers.Sort(gg);
}
// Function to print load on each server
printLoadOnEachServer(m, loadOnServer);
}
static void Main() {
// Given arrivalTime and processTime
int[] arrivalTime = { 1, 2, 4, 6 };
int[] processTime = { 7, 1, 4, 4 };
int N = arrivalTime.Length;
int M = 2;
// Function Call
loadBalancing(N, M, arrivalTime, processTime);
}
}
// The code is contributed by Arushi Jindal.
Output:
1st Server -> 1.
2st Server -> 2.
Time Complexity: O(N*log M)Auxiliary Space: O(M)
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TypeScript ? | GeeksforGeeks | [-0.00616329489, -0.0162526425, -0.0144245466, 0.0494456403, 0.0125616305, -0.000557678053, -0.00941904634, 0.0475653149, 0.012639977, 0.0291276611, 0.0371886939, -0.0140415169, 0.00388688012, -0.00829172, 0.0252451338, 0.000534826831, -0.00722968392, 0.0130404169, 0.00427861465, 0.0040740422, 0.0186639875, 0.00913177431, -0.0464510471, 0.035761036, -0.0446055382, 0.0117607499, -0.00693370635, 0.0056627444, -0.0276477747, -0.0193429962, 0.00438960642, 0.0328534953, 0.007029464, -0.0417502262, -0.00537547236, -0.00416109432, 0.00667690253, 0.00251798448, -0.00560180796, 0.0133712152, -0.0237478353, 0.0070860479, -0.0220416132, -0.0146421771, 0.0110991532, 0.0071992157, 0.00179436314, -0.00876180269, 0.00346032437, -0.0123004736, 0.0103243887, -0.00655502966, 0.0395216905, 0.0215367097, -0.00113385473, 0.00712522119, -0.0129098389, 0.022442054, -0.0217804573, -0.00484880665, 0.0495849252, -0.0190644283, -0.00373889133, -0.0111426795, 0.0536937863, 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24 Oct, 2024 | set::lower_bound() Function in C++ STL
24 Oct, 2024
The std::set::lower_bound() method is used to find the first element in the set that is equal to or greater than the given value. It is a member function of std::set class and is defined inside <set> header file. In this article, we will learn about std::set::lower_bound() function in C++.
Example:
C++
// C++ Program to illustrate the use of
// std::set::lower_bound() method
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {1, 5, 3, 7, 6};
cout << *s.lower_bound(4);
return 0;
}
Output5set::lower_bound() Syntaxs.lower_bound(val);
Parametersval: Value whose lower bound is to be searched.Return ValueReturns an iterator to the first element that is equal to or just greater than the given value.If all the elements are less than to the given value, returns an iterator to the end of the std::set.More Examples of std::lower_bound()The following examples demonstrate the behaviors of set::lower_bound() function in different cases.
Example 1: Finding Lower Bound in Set of Strings
C++
// C++ program to find lower bound in a set
// of strings using set::lower_bound()
#include <bits/stdc++.h>
using namespace std;
int main() {
set<string> s = {"hello", "geeks",
"welcome"};
// Finding lower bound of s
cout << *s.lower_bound("coding");;
return 0;
}
OutputgeeksTime Complexity: O(log n), where n is the number of elements in the set.Auxiliary Space: O(1)
Example 2: Trying to Find Lower Bound that is Not Present in Set
C++
// C++ Program to illustrate the use of
// std::set::lower_bound() method
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {1, 5, 3, 7, 6};
// Finding lower bound of 22 in s
auto it = s.lower_bound(22);
// Checking if lower bound exists or not
if (it != s.end())
cout << *it;
else
cout << "Lower Bound NOT Present.";
return 0;
}
OutputLower Bound NOT Present.Time Complexity: O(log n), where n is the number of elements in the set.Auxiliary Space: O(1)
Example 3: Searching for Element in Set using set::lower_bound()
C++
// C++ program to find an element in a set using
// std::set::lower_bound()
#include <iostream>
#include <set>
using namespace std;
int main() {
set<int> s = {1, 5, 3, 7, 6};
// Element to find
int k = 7;
// Using lower_bound to find element
auto it = s.lower_bound(k);
// Check if the element exists in set
if (it != s.end() && *it == k)
cout << k << " is present.";
else
cout << k << " is NOT present.";
return 0;
}
Output7 is present.Time Complexity: O(log n), where n is the number of elements in the set.Auxiliary Space: O(1)
Working of set::lower_bound()The std::set::lower_bound() function uses the search operation of std::set container which is internally implemented as self-balancing binary search tree. So, for searching the lower bound of any value, we move from the root node of the tree using the path that may contain the lower bound.
If we find the lower bound in this path, we quit the search and return the iterator to it.If we reach the leaf node without finding it, we return iterator to the end.That is why, the complexity of the set::lower_bound() function is same as the search operation of self-balancing binary search tree.
set::lower_bound() in C++ – FAQsHow std::set::lower_bound() is different from std::lower_bound() algorithm?std::set::lower_bound() is a member function that works directly on a std::set, taking advantage of the set’s internal tree structure for efficiency. std::lower_bound() is a generic algorithm that works on any sorted range (like vectors or arrays) and requires random-access iterators.
Does set::lower_bound() work for sets with custom comparators?Yes, if you have a custom comparator for your set, set::lower_bound() will work according to it.
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02 Sep, 2020 | Implementation of lower_bound() and upper_bound() in List of Pairs in C++
02 Sep, 2020
In this article, we will discuss the implementation of the lower_bound() and upper_bound() in a list of pairs.
lower_bound(): It returns an iterator pointing to the first element in the range [first, last) which has a value greater than or equals to the given value “val”. But in List of Pairs lower_bound() for pair(x, y) will return an iterator pointing to the position of pair whose the first value is greater than or equals x and the second value is greater than equals to y.If the above-mentioned criteria are not met, then it returns an iterator to the index which out of the List of pairs.
upper_bound(): It returns an iterator pointing to the first element in the range [first, last) which has a value greater than the given value “val”. But in List of Pairs upper_bound() for pair(x, y) will return an iterator pointing to the position of pair whose the first value is greater than x and the second value is greater than y.If the above-mentioned criteria are not met, then it returns an iterator to the index which out of the list of pairs.
Below is the program to demonstrate lower_bound() and upper_bound() in a list of pairs:
Program:
C++
// C++ program to demonstrate lower_bound()
// and upper_bound() in List of Pairs
#include <bits/stdc++.h>
using namespace std;
// Function to implement lower_bound()
void findLowerBound(
list<pair<int, int> >& list,
pair<int, int>& p)
{
// Given iterator points to the
// lower_bound() of given pair
auto low = lower_bound(list.begin(),
list.end(), p);
cout << "lower_bound() for {2, 5}"
<< " is at index: {"
<< (*low).first << ", "
<< (*low).second << " }"
<< endl;
}
// Function to implement upper_bound()
void findUpperBound(
list<pair<int, int> >& list,
pair<int, int>& p)
{
// Given iterator points to the
// upper_bound() of given pair
auto up = upper_bound(list.begin(),
list.end(), p);
cout << "upper_bound() for {2, 5}"
<< " is at index: {"
<< (*up).first << ", "
<< (*up).second << " }"
<< endl;
}
// Driver Code
int main()
{
list<pair<int, int> > list;
// Given sorted List of Pairs
list.push_back(make_pair(1, 3));
list.push_back(make_pair(1, 7));
list.push_back(make_pair(2, 4));
list.push_back(make_pair(2, 5));
list.push_back(make_pair(3, 8));
list.push_back(make_pair(8, 6));
// Given pair {2, 5}
pair<int, int> p = { 2, 5 };
// Function Call to find lower_bound
// of pair p in arr
findLowerBound(list, p);
// Function Call to find upper_bound
// of pair p in arr
findUpperBound(list, p);
return 0;
}
Output:
lower_bound() for {2, 5} is at index: {2, 5 }
upper_bound() for {2, 5} is at index: {3, 8 }
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07 May, 2020 | Difference between std::set::lower_bound and std::lower_bound in C++
07 May, 2020
Prerequisite: Random-access Iterators in C++, Bidirectional Iterators in C++.
std::lower_bound in C++:
The lower_bound() method in C++ is used to return an iterator pointing to the first element in the range [first, last) which has a value not less than the given value. This means that the function returns the index of the next smallest number just greater than that number.
std::set::lower_bound in C++:
The set::lower_bound() is a built-in function in C++ STL which returns an iterator pointing to the element in the container which is equivalent to K passed in the parameter. In case K is not present in the set container, the function returns an iterator pointing to the immediate next element which is just greater than K. If the key passed in the parameter exceeds the maximum value in the container, then the iterator returned points to the last element in the set container.
Below is the difference between std::lower_bound and std::set::lower_bound:
S.No.
std::lower_bound()
std::set::lower_bound()
1
Syntax: std::lower_bound(ForwardIterator first, ForwardIterator last, const T& val).
Syntax: std::lower_bound(const value_type& val).
2
The std::lower_bound has Random Access Iterators and Non Random Access Iterators.
The std::set::lower_bound has Bidirectional Iterators.
3
This function optimizes the number of comparisons which is efficient for Random Access Iterators.
This function optimises the number of comparisons using Bidirectional Iterators
4
The running time complexity is O(log2N) for random-access iterators but for non random-access iterators it is O(N).
The running time complexity is always O(log2N) due to it’s Binary Search Tree implementation.
Below is the program with CPU execution time which will illustrate the running time of both functions.
Program to illustrate of std::lower_bound():
// C++ program to illustrate
// std::set::lower_bound
#include <bits/stdc++.h>
#include <sys/time.h>
using namespace std;
// Function whose time is to
// be measured
void fun()
{
// Initialise the set
set<int> s;
// Insert element in the set
for (int i = 0; i < 10; i++) {
s.insert(i);
}
// Use lower_bound() function
// to find 5
set<int>::iterator it;
it = lower_bound(s.begin(), s.end(), 5);
}
// Driver Code
int main()
{
// Use function gettimeofday()
// can get the time
struct timeval start, end;
// Start timer
gettimeofday(&start, NULL);
// unsync the I/O of C and C++.
ios_base::sync_with_stdio(false);
// Function Call
fun();
// Stop timer
gettimeofday(&end, NULL);
// Calculating total time taken
// by the program.
double time_taken;
time_taken = (end.tv_sec
- start.tv_sec)
* 1e6;
time_taken = (time_taken
+ (end.tv_usec
- start.tv_usec))
* 1e-6;
cout << "Time taken by program is : "
<< fixed
<< time_taken << setprecision(6);
cout << " sec" << endl;
return 0;
}
Output:
Time taken by program is : 0.000046 sec
Program to illustrate of std::set::lower_bound():
// C++ program to illustrate
// std::lower_bound
#include <bits/stdc++.h>
#include <sys/time.h>
using namespace std;
// Function whose time is to
// be measured
void fun()
{
// Initialise the set
set<int> s;
// Insert element in the set
for (int i = 0; i < 10; i++) {
s.insert(i);
}
// Use set::lower_bound() function
// to find 5
set<int>::iterator it;
it = s.lower_bound(5);
}
// Driver Code
int main()
{
// Use function gettimeofday()
// can get the time
struct timeval start, end;
// Start timer
gettimeofday(&start, NULL);
// unsync the I/O of C and C++.
ios_base::sync_with_stdio(false);
fun();
// Stop timer
gettimeofday(&end, NULL);
// Calculating total time taken
// by the program.
double time_taken;
time_taken = (end.tv_sec
- start.tv_sec)
* 1e6;
time_taken = (time_taken
+ (end.tv_usec
- start.tv_usec))
* 1e-6;
cout << "Time taken by program is : "
<< fixed
<< time_taken << setprecision(6);
cout << " sec" << endl;
return 0;
}
Output:
Time taken by program is : 0.000039 sec
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21 Jun, 2022 | Difference between std::set vs std::vector in C++ STL
21 Jun, 2022
Vectors: Vectors are containers similar to dynamic arrays, with the ability to resize when a new element is inserted or deleted from it. It is a template of Standard Template Library or STL, which provides more flexibility to the program. Elements of vectors are placed in contiguous storage and are traversed using iterators.
Examples:
vector <int> v;
v.push_back(1);
v.push_back(2);
v.clear();
Below is the implementation of vectors in C++:
C++
// C++ program to demonstrate the
// working of vector in cpp
#include <bits/stdc++.h>
using namespace std;
// Driver Code
int main()
{
vector<int> v;
// Inserting elements in vector
v.push_back(11);
v.push_back(6);
v.push_back(12);
v.push_back(0);
v.push_back(0);
// Elements are stored in the
// order of insertion with the
// duplicate element
cout << "Elements in vector are:\n";
for (auto it : v) {
cout << it << " ";
}
return 0;
}
Output:
Elements in vector are:
11 6 12 0 0
Time Complexity: O(N) // For N insertionsAuxiliary Space: O(1)
Set: Set is also one of the templates of Standard Template Library or STL. It is a container of unique elements whose value can’t be modified once added to the set, but can be deleted or inserted. The elements of the sets are always stored in sorted form.
Examples:
set <int> s;
s.insert(1);
s.insert(12);
int key = 1;
s.erase(key);
Below is the implementation of sets in C++:
C++
// C++ program to demonstrate the
// working of set in c++
#include <bits/stdc++.h>
using namespace std;
// Driver Code
int main()
{
set<int> s;
// Insert elements into the set
s.insert(11);
s.insert(6);
s.insert(12);
s.insert(0);
// Duplicate elements
s.insert(0);
cout << "Elements in set:\n";
// The inserted elements get sorted
// Print the elements of the set
for (auto it : s) {
cout << it << " ";
}
return 0;
}
Output:
Elements in set:
0 6 11 12
Time Complexity: O(Nlog N) // For N insertionsAuxiliary Space: O(1)
Tabular Difference between the vector and set:
Vector
Set
Elements of the vector are unsorted.
Elements of sets are always sorted.
It can contain duplicate elements.
It contains only unique elements.
The vector is unordered.
Set is ordered.
The time complexity for insertion of a new element is O(1).
The time complexity for the insertion of a new element is O(log N).
Vector is faster for insertion and deletion of elements at the end of the container.
Set is faster for insertion and deletion of elements at the middle of the container.
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21 Mar, 2023 | std::minmax() and std::minmax_element() in C++ STL
21 Mar, 2023
C++ defined functions to get smallest and largest elements among 2 or in a container using different functions. But there are also functions that are used to get both smallest and largest element using a single function, “minmax()” function achieves this task for us. This function is defined in “algorithm” header file. This article would deal in its implementation and other related functions.
minmax(a, b): This function returns a pair, in which 1st element is of minimum of the two elements and the 2nd element is maximum of 2 elements.
minmax(array of elements): This function returns similarly as 1st version. Only difference is that in this version, the accepted argument is a list of integers/strings among which maximum and minimum are obtained. Useful in cases when we need to find maximum and minimum elements in list without sorting.
CPP
// C++ code to demonstrate the working of minmax()
#include<iostream>
#include<algorithm>
using namespace std;
int main()
{
// declaring pair to catch the return value
pair<int, int> mnmx;
// Using minmax(a, b)
mnmx = minmax(53, 23);
// printing minimum and maximum values
cout << "The minimum value obtained is : ";
cout << mnmx.first;
cout << "\nThe maximum value obtained is : ";
cout << mnmx.second ;
// Using minmax((array of elements)
mnmx = minmax({2, 5, 1, 6, 3});
// printing minimum and maximum values.
cout << "\n\nThe minimum value obtained is : ";
cout << mnmx.first;
cout << "\nThe maximum value obtained is : ";
cout << mnmx.second;
}
Output:
The minimum value obtained is : 23
The maximum value obtained is : 53
The minimum value obtained is : 1
The maximum value obtained is : 6
Time Complexity: O(n) where n is the number of elements from which we have to find the minimum and maximum element.
Auxiliary Space: O(1)
minmax_element(): This purpose of this function is same as above functions i.e to find minimum and maximum element. But it differs in return type and accepted argument. This function accepts start and end pointer as its argument and is used to find maximum and minimum element in a range. This function returns pair pointer, whose 1st element points to the position of minimum element in the range and 2nd element points to the position of maximum element in the range. If there are more than 1 minimum numbers, then the 1st element points to first occurring element. If there are more than 1 maximum numbers, then the 2nd element points to last occurring element.
CPP
// C++ code to demonstrate the working of minmax_element()
#include<iostream>
#include<algorithm>
#include<vector>
using namespace std;
int main()
{
// initializing vector of integers
vector<int> vi = { 5, 3, 4, 4, 3, 5, 3 };
// declaring pair pointer to catch the return value
pair<vector<int>::iterator, vector<int>::iterator> mnmx;
// using minmax_element() to find
// minimum and maximum element
// between 0th and 3rd number
mnmx = minmax_element(vi.begin(), vi.begin() + 4);
// printing position of minimum and maximum values.
cout << "The minimum value position obtained is : ";
cout << mnmx.first - vi.begin() << endl;
cout << "The maximum value position obtained is : ";
cout << mnmx.second - vi.begin() << endl;
cout << endl;
// using duplicated
// prints 1 and 5 respectively
mnmx = minmax_element(vi.begin(), vi.end());
// printing position of minimum and maximum values.
cout << "The minimum value position obtained is : ";
cout << mnmx.first - vi.begin() << endl;
cout << "The maximum value position obtained is : ";
cout << mnmx.second - vi.begin()<< endl;
}
Output:
The minimum value position obtained is : 1
The maximum value position obtained is : 0
The minimum value position obtained is : 1
The maximum value position obtained is : 5
Time Complexity: O(n)
Auxiliary Space: O(1)
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05 Aug, 2017 | std::rotate vs std::rotate_copy in C++ STL
05 Aug, 2017
rotate in STL:It rotates the order of the elements in the range [first, last), in such a way that the element pointed by middle becomes the new first element, i, e, to the left.
Output:
arr contains: 4 5 6 7 8 9 1 2 3
rotate_copy:It copies the elements in the range [first, last) to the range beginning at result, but rotates the order of the elements in such a way that the element pointed by middle becomes the first element in the resulting range, i.e, left rotate.
// Illustrating the use of rotate_copy
#include <bits/stdc++.h>
using namespace std;
// Driver Program
int main()
{
int arr[] = { 10, 20, 30, 40, 50, 60, 70 };
// Use of rotate_copy
vector<int> gfg(7);
rotate_copy(arr, arr + 3, arr + 7, gfg.begin());
// prints the content:
cout << "gfg contains:";
for (auto i = gfg.begin(); i != gfg.end(); i++)
cout << ' ' << *i;
cout << endl;
return 0;
}
Output:
gfg contains: 40 50 60 70 10 20 30
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13 Aug, 2019 | std::bitset::to_ullong and std::bitset::to_ulong in C++ STL
13 Aug, 2019
Bitset: A bitset is an array of bool but each Boolean value is not stored separately instead bitset optimizes the space such that each bool takes 1 bit space only, so space taken by bitset bs is less than that of bool bs[N] and vector bs(N). However, a limitation of bitset is, N must be known at compile time, i.e., a constant (this limitation is not there with vector and dynamic array)
std::bitset::to_ullong
This function Converts the contents of the bitset to an unsigned long long integer. The first bit of the bitset corresponds to the least significant digit of the number and the last bit corresponds to the most significant digit.
Syntax:
bit.to_ullong()
Here bit is a number in bits (i.e., 101 for 5)
Parameters:
We are not passing any parameters
Return:
Return the converted integer.
Exceptions:
overflow_error will occur if the value can not be represented in unsigned long long.
Examples:
Input : 1010
Output : 10
Input : 10000001
Output :129
# CODE 1 :
#include <bitset>
#include <iostream>
#include <limits>
using namespace std;
int main()
{
bitset<numeric_limits<unsigned long long>::digits> b(10);
cout << b << endl << b.to_ullong();
return 0;
}
//Code is improved by Rajnis09
OUTPUT:
0000000000000000000000000000000000000000000000000000000000001010
10
# CODE 2 :
#include <bitset>
#include <iostream>
#include <limits>
using namespace std;
int main()
{
bitset<numeric_limits<unsigned long long>::digits> b(20);
cout << b << endl << b.to_ullong();
return 0;
}
OUTPUT:
0000000000000000000000000000000000000000000000000000000000010100
20
std::bitset::to_ulong
This function Converts the contents of the bitset to an unsigned long integer. The first bit of the bitset corresponds to the least significant digit of the number and the last bit corresponds to the most significant digit.
Syntax:
bit.to_ulong()
Here bit is a number in bits (i.e., 101 for 5)
Parameters:
We are not passing any parameters
Return:
Return the converted integer.
Exceptions associated:
overflow_error will occur if the value can not be represented in unsigned long.
Examples:
Input : 1010
Output : 10
Input : 10000001
Output :129
# CODE 1 :
#include <bitset>
#include <iostream>
#include <limits>
using namespace std;
int main()
{
bitset<numeric_limits<unsigned long>::digits> b(10);
cout << b << endl << b.to_ulong();
return 0;
}
OUTPUT:
0000000000000000000000000000000000000000000000000000000000001010
10
# CODE 2 :
#include <bitset>
#include <iostream>
#include <limits>
using namespace std;
int main()
{
bitset<numeric_limits<unsigned long>::digits> b(20);
cout << b << endl << b.to_ulong();
return 0;
}
OUTPUT:
0000000000000000000000000000000000000000000000000000000000010100
20
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13 Feb, 2025 | std::upper_bound and std::lower_bound for Vector in C++ STL
13 Feb, 2025
The std::upper_bound() and std::lower_bound() functions are used for binary search operations STL containers that provide random access. They both are defined inside <algorithm> header file. In this article, we will learn how to use the std::upper_bound and std::lower_bound for vector in C++ STL.
lower_bound() for VectorsThe std::lower_bound() method can be used to find the first value that is greater than or equal to given value in the vector. It needs the vector to be sorted because it implements binary search to find the value.
Syntaxstd::lower_bound(first, last, val, comp);
upper_bound() for VectorsThe std::upper_bound() method can be used to find the first value that is greater than to given value in the vector. It needs sorted vector because it implements binary search to find the value.
Syntaxstd::upper_bound(first, last, val, comp);
ExamplesThe below examples demonstrate the use of std::upper_bound and std::lower_bound in a vector in different scenarios.
Example 1: Finding Lower and Upper Bound in a Sorted Vector
C++
// C++ Program to illustrate use of std::lower_bound()
// and std::upper_bound() for vector
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {11, 34, 56, 67, 89};
// Finding lower bound of 56
cout << *lower_bound(v.begin(), v.end(), 56)
<< endl;
// Finding upper bound of 56
cout << *upper_bound(v.begin(), v.end(), 56);
return 0;
}
Output56
67Time Complexity: O(log n), where n is the number of elements in vector.Auxiliary Space: O(1)
Example 2: Finding the Lower and Upper Bound in a Part of Unsorted Vector
C++
// C++ program to find the upper and lower bound in
// the part of a vector
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {89, 11, 56, 34, 67};
// Sorting v before finding upper and lower bound
sort(v.begin(), v.end());
// Finding the lower bound of value 30 in the
// first three elements of the vector v
cout << *lower_bound(v.begin(), v.begin() + 3, 30)
<< endl;
// Finding the upper bound of value 30 in the
// last three elements of the vector v
cout << *upper_bound(v.end() - 3, v.end(), 30);
return 0;
}
Output34
56Time Complexity: O(log n), not considering time required for sorting.Auxiliary Space: O(1), not considering memory required for sorting.
Explanation: As we know that std::upper_bound() and std::lower_bound() doesn’t works for unsorted vector, so we use std::sort() function to sort the vector. After that, we find the lower and upper bound in the desired range.
Example 3: Checking if an Element Exists in Vector using lower_bound()
C++
// C++ Program to check if the element exists
// in a vector using lower_bound()
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {11, 34, 56, 67, 89};
int val = 56;
// Cheking if val exists in the vector v
auto it = lower_bound(v.begin(), v.end(), val);
if (*it == val)
cout << val << " is found.";
else
cout << val << " is NOT found.";
return 0;
}
Output56 is found.Time Complexity: O(log n), where n is the number of elements in vector.Auxiliary Space: O(1)
Explanation: The lower_bound() function will return the iterator to the given value if it is present in the vector. If it is not present, it will return iterator to the largest element smaller than the given value. We cannot use the upper_bound() function to find the given value in the same way.
Example 4: Finding the Number of Elements Smaller and Greater than a Value
C++
// C++ Program to count the elements smaller and larger than
// a value in a vector using lower_bound() and upper_bound()
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {11, 34, 56, 67, 89};
int val = 50;
// Finding lower and upper boud of val in v
auto lb = lower_bound(v.begin(), v.end(), val);
auto up = upper_bound(v.begin(), v.end(), val);
// Finding the number of smaller elements
cout << "No. of Smaller Elements: " << lb - v.begin()
<< endl;
// Finding the number of larger elements
cout << "No. of Larger Elements: " << v.end() - up
<< endl;
return 0;
}
OutputNo. of Smaller Elements: 2
No. of Larger Elements: 3
Time Complexity: O(log n), where n is the number of elements in vector.Auxiliary Space: O(1)
Explanation: The lower_bound() function will return the iterator to the first element just greater than or equal to the given value in the sorted vector. It means that all the elements previous to this will be less than the give value, so we can substract the vector.begin() iterator from the iterator returned by the lower_bound() to get the number of elements.
Difference Between lower_bound() and upper_bound()Following are the main differences between the std::lower_bound() and std::upper_bound():
std::lower_bound
std::upper_bound
Finds the first position where the value is not less than the given value (≤).Finds the first position where the value is greater than the given value (>).Returns an iterator pointing to the first element that is greater than or equal to the specified value. Returns an iterator pointing to the first element that is greater than the specified value.Syntax:lower_bound(first, last, val, comp);
Syntax:upper_bound(first, last, val, comp);
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06 Jul, 2017 | std::fixed, std::scientific, std::hexfloat, std::defaultfloat in C++
06 Jul, 2017
Formatting in the standard C++ libraries is done through the use of manipulators, special variables or objects that are placed on the output stream. There are two types of floating point manipulators namely, fixed floating point and scientific floating point. These all are defined in header <iostream>.
Use of precision : In the default floating-point notation, the precision field specifies the maximum number of meaningful digits to display both before and after the decimal point, while in both the fixed and scientific notations, the precision field specifies exactly how many digits to display after the decimal point, even if they are trailing decimal zeros.
std::fixed – Fixed Floating-point notation : It write floating-point values in fixed-point notation. The value is represented with exactly as many digits in the decimal part as specified by the precision field (precision) and with no exponent part.
std::scientific – Scientific floating-point notation : It writes floating-point values in Scientific-point notation. The value is represented always with only one digit before the decimal point, followed by the decimal point and as many decimal digits as the precision field (precision). Finally, this notation always includes an exponential part consisting on the letter “e” followed by an optional sign and three exponential digits.
std::hexfloat – Hexfloat floating-point notation : It outputs the desired number after the conversion into hexadecimal format after the precision of no. is initialized ( as discussed in prev. cases ).
std::defaultfloat – defaultfloat floating-point notation : It outputs the desired number same as default after the precision of no. is initialized ( as discussed in prev. cases ). It is mainly used to distinguish among other used formats for understandability of code.
// C++ code to demonstrate the
// working of
// std::fixed
// std::scientific
// std::hexfloat
// std::defaultfloat
#include <iostream>
using namespace std;
int main()
{
// Initializing floating point variable
double a = 4.223234232;
double b = 2323.0;
// Specifying precision
cout.precision(4);
// Printing normal values
cout << "Normal values of floating point numbers\na = ";
cout << a << "\nb = " << b << '\n' ;
// Printing values using fixed ( till 4 )
cout << "Values using fixed \n" << std::fixed;
cout << a << "\n" << b << '\n' ;
// Printing values using scientific ( till 4 )
// after 4, exponent is used
cout << "Values using scientific are : " << std::scientific << endl;
cout << a << '\n' << b << '\n' ;
// Printing values using hexfloat ( till 4 )
cout << "Values using hexfloat are : " << std::hexfloat << endl;
cout << a << '\n' << b << '\n' ;
// Printing values using defaultfloat ( till 4 )
// same as normal
cout << "Values using defaultfloat are : " << std::defaultfloat << endl;
cout << a << '\n' << b << '\n' ;
return 0;
}
Output:
Normal values of floating point numbers
a = 4.223
b = 2323
Values using fixed
4.2232
2323.0000
Values using scientific are :
4.2232e+00
2.3230e+03
Values using hexfloat are :
0x1.0e49783b72695p+2
0x1.226p+11
Values using defaultfloat are :
4.223
2323
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08 Nov, 2022 | std::string::append vs std::string::push_back() vs Operator += in C++
08 Nov, 2022
To append characters, you can use operator +=, append(), and push_back(). All of them helps to append character but with a little difference in implementation and application.
Operator += : appends single-argument values. Time complexity : O(n)
append() : lets you specify the appended value by using multiple arguments. Time complexity: O(n)
push_back() : lets you to append single character at a time. Time complexity: O(1)
Here are few standards we can have for comparison among these three:
1) Full String:
+= : We can append full string using +=.
append() : We can also append full string using append().
push_back : doesn’t allow appending of full string.
Implementation:
CPP
// CPP code for comparison on the
// basis of appending Full String
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str1, string str2)
{
string str = str1;
// Appending using +=
str1 += str2;
cout << "Using += : ";
cout << str1 << endl;
// Appending using append()
str.append(str2);
cout << "Using append() : ";
cout << str << endl;
}
// Driver code
int main()
{
string str1("Hello World! ");
string str2("GeeksforGeeks");
cout << "Original String : " << str1 << endl;
appendDemo(str1, str2);
return 0;
}
Output
Original String : Hello World!
Using += : Hello World! GeeksforGeeks
Using append() : Hello World! GeeksforGeeks
2) Appending part of String:
+= : Doesn’t allow appending part of string.
append() : Allows appending part of string.
push_back : We can’t append part of string using push_back.
Implementation:
CPP
// CPP code for comparison on the basis of
// Appending part of string
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str1, string str2)
{
// Appends 5 characters from 0th index of
// str2 to str1
str1.append(str2, 0, 5);
cout << "Using append() : ";
cout << str1;
}
// Driver code
int main()
{
string str1("GeeksforGeeks ");
string str2("Hello World! ");
cout << "Original String : " << str1 << endl;
appendDemo(str1, str2);
return 0;
}
Output
Original String : GeeksforGeeks
Using append() : GeeksforGeeks Hello
3) Appending C-string (char*):
+= : Allows appending C-string
append() : It also allows appending C-string
push_back : We cannot append C-string using push_back().
Implementation:
CPP
// CPP code for comparison on the basis of
// Appending C-string
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str)
{
string str1 = str;
// Appending using +=
str += "GeeksforGeeks";
cout << "Using += : ";
cout << str << endl;
// Appending using append()
str1.append("GeeksforGeeks");
cout << "Using append() : ";
cout << str1 << endl;
}
// Driver code
int main()
{
string str("World of ");
cout << "Original String : " << str << endl;
appendDemo(str);
return 0;
}
Output
Original String : World of
Using += : World of GeeksforGeeks
Using append() : World of GeeksforGeeks
4) Appending character array:
+= : Allows appending of character array
append() : Allows appending of character array.
push_back : Does not allow char array appending.
Implementation:
CPP
// CPP code for comparison on the basis of
// Appending character array
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str)
{
char ch[6] = { 'G', 'e', 'e', 'k', 's', '\0' };
string str1 = str;
// Appending using +=
str += ch;
cout << "Using += : " << str << endl;
// Appending using append()
str1.append(ch);
cout << "Using append() : ";
cout << str1 << endl;
}
// Driver code
int main()
{
string str("World of ");
cout << "Original String : " << str << endl;
appendDemo(str);
return 0;
}
Output
Original String : World of
Using += : World of Geeks
Using append() : World of Geeks
5) Appending single character:
+= : We can append single character using += operator.
append() : Allows appending single character.
push_back : Allows appending single character.
CPP
// CPP code for comparison on the basis of
// Appending single character
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str)
{
string str1 = str;
string str2 = str;
// Appending using +=
str += 'C';
cout << "Using += : " << str << endl;
// Appending using append()
str2.append("C");
cout << "Using append() : ";
cout << str2 << endl;
// Appending using push_back()
str1.push_back('C');
cout << "Using push_back : ";
cout << str1;
}
// Driver code
int main()
{
string str("AB");
cout << "Original String : " << str << endl;
appendDemo(str);
return 0;
}
Output
Original String : AB
Using += : ABC
Using append() : ABC
Using push_back : ABC
6) Iterator range:
+= : Doesn’t provide iterator range.
append() : Provides iterator range.
push_back : Doesn’t provide iterator range.
Implementation:
CPP
// CPP code for comparison on the basis of
// Appending using iterator range
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
void appendDemo(string str1, string str2)
{
// Appends all characters from
// str2.begin()+5, str2.end() to str1
str1.append(str2.begin() + 5, str2.end());
cout << "Using append : ";
cout << str1;
}
// Driver code
int main()
{
string str1("Hello World! ");
string str2("GeeksforGeeks");
cout << "Original String : " << str1 << endl;
appendDemo(str1, str2);
return 0;
}
Output
Original String : Hello World!
Using append : Hello World! forGeeks
7) Return Value:
+= : Return *this.
append() : Returns *this
push_back : Doesn’t return anything.
Implementation:
CPP
// CPP code for comparison on the basis of
// Return value
#include <iostream>
#include <string>
using namespace std;
// Function to demonstrate comparison among
// +=, append(), push_back()
string appendDemo(string str1, string str2)
{
// Appends str2 in str1
str1.append(str2); // Similarly with str1 += str2
cout << "Using append : ";
// Returns *this
return str1;
}
// Driver code
int main()
{
string str1("Hello World! ");
string str2("GeeksforGeeks");
string str;
cout << "Original String : " << str1 << endl;
str = appendDemo(str1, str2);
cout << str;
return 0;
}
Output
Original String : Hello World!
Using append : Hello World! GeeksforGeeks
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jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0117549347, 0.0262705535, -0.0119825434, 0.0422325917, 0.0260502845, 0.00350408652, -0.0157417729, 0.0137887364, -0.0265936106, 0.013421624, 0.0133555438, 0.00892082788, 0.0253160615, -0.034156125, -0.0409697257, 0.00359219336, 0.00730186282, 0.0154187148, -0.0276508946, 0.000552503916, 0.0239357185, -0.0427318662, -0.071131669, -0.0141925598, -0.011358453, 0.0461093, -0.00545895891, 0.0136859445, -0.00643547764, 0.0240091402, 0.0333044231, 0.0187080409, 0.0191632602, -0.025683172, 0.00730186282, -0.00196955726, 0.0442296825, -0.0247580502, -0.0236126594, -0.0301913116, 0.0167696867, 0.026211815, 0.0216302536, -0.00385834975, -0.00251288339, 0.0513663441, -0.000573612866, -0.0221588947, 0.0208372921, 0.00318286312, 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27 Dec, 2024 | Vector push_back() in C++ STL
27 Dec, 2024
In C++, the vector push_back() is a built-in method used to add a new element at the end of the vector. It automatically resizes the vector if there is not enough space to accommodate the new element.
Let’s take a look at an example that illustrates the vector push_back() method:
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {1, 4, 6};
// Add an element at the end of the vector
v.push_back(9);
for (int i : v)
cout << i << " ";
return 0;
}
Output1 4 6 9 This article covers the syntax, usage, and common examples of the vector push_back() method in C++:
Table of Content
Syntax of Vector push_back()Examples of vector push_back()Initialize an Empty Vector One by OneAdd Elements Vector of Strings at the EndSyntax of Vector push_back()The vector push_back() is a member method of the std::vector class defined inside the <vector> header file.
v.push_back(val);
Parameters:
val: Element to be added to the vector at the end.Return Value:
This function does not return any value.Examples of vector push_back()The following examples demonstrate the use of the vector push_back() function for different purposes:
Initialize an Empty Vector One by One
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v;
// Add elements to the vector
v.push_back(3);
v.push_back(7);
v.push_back(9);
for (int i : v)
cout << i << " ";
return 0;
}
Output3 7 9 Add Elements Vector of Strings at the End
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<string> v = {"Hello", "Geeks"};
// Add string to the vector
v.push_back("Welcome");
for (string s: v)
cout << s << " ";
return 0;
}
OutputHello Geeks Welcome Vector push_back() in C++ – FAQsWhat happens if a vector’s capacity is exceeded while using push_back()?When the number of elements in a vector exceeds its current capacity, the vector reallocates memory, usually doubling its capacity, to accommodate new elements.
Can we use push_back() to add elements to a specific position?No, push_back() always adds an element at the end of the vector. To insert at a specific position, use the vector insert() function.
Does push_back() work for user-defined objects?Yes, as long as the user-defined object supports copying or moving, it can be added to a vector using push_back().
What is the time complexity of push_back() function?The amortized time complexity of vector push_back() is O(1).
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orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0413839035, 0.0369157828, 0.000789985759, 0.045278579, 0.0351237543, -0.033045, -0.0242043287, 0.0260919314, -0.00241475808, -0.0106386738, -0.0136074675, 0.0124247288, 0.00910947658, -0.0486237, -0.00546269957, 0.00256708032, 0.0114391139, 0.0308467783, -0.0241565406, -0.00519090844, -0.0144676408, -0.011170309, -0.0410016067, -0.0211459324, -0.0425785892, 0.0204530153, 0.0101488531, -0.000664917112, -0.00658271695, 0.0241207, 0.000427846739, 0.00560307503, -0.0040111565, -0.0091512911, -0.0119229611, 0.0066782916, 0.0249211397, -0.0169645343, -0.0270715728, -0.0247538835, 0.0399741754, 0.0314202271, 0.0199273545, -0.0231649522, -0.0019757112, 0.0266653802, -0.00353626907, -0.0258529931, 0.0106685413, 0.00878691208, 0.0395679846, 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09 Jun, 2022 | vector :: cbegin() and vector :: cend() in C++ STL
09 Jun, 2022
Vectors are known as dynamic arrays which can change its size automatically when an element is inserted or deleted. This storage is maintained by container.
vector::cbegin()
The function returns an iterator which is used to iterate container.
The iterator points to the beginning of the vector.
Iterator cannot modify the contents of the vector.
Syntax:
vectorname.cbegin()
Parameters: There is no parameter Return value: Constant random access iterator points to the beginning of the vector. Exception: No exception
Time Complexity – constant O(1)
Below program(s) illustrate the working of the function
CPP
// CPP program to illustrate
// use of cbegin()
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int main()
{
vector<string> vec;
// 5 string are inserted
vec.push_back("first");
vec.push_back("second");
vec.push_back("third");
vec.push_back("fourth");
vec.push_back("fifth");
// displaying the contents
cout << "Contents of the vector:" << endl;
for (auto itr = vec.cbegin();
itr != vec.end();
++itr)
cout << *itr << endl;
return 0;
}
Output:
Contents of the vector:
first
second
third
fourth
fifth
vector::cend()
The function returns an iterator which is used to iterate container.
The iterator points to past-the-end element of the vector.
Iterator cannot modify the contents of the vector.
Syntax:
vectorname.cend()
Parameters: There is no parameter Return value: Constant random access iterator points to past-the-end element of the vector. Exception: No exception
Time Complexity – constant O(1)
Below program(s) illustrate the working of the function
CPP
// CPP programto illustrate
// functioning of cend()
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int main()
{
vector<string> vec;
// 5 string are inserted
vec.push_back("first");
vec.push_back("second");
vec.push_back("third");
vec.push_back("fourth");
vec.push_back("fifth");
// displaying the contents
cout << "Contents of the vector:" << endl;
for (auto itr = vec.cend() - 1;
itr >= vec.begin();
--itr)
cout << *itr << endl;
return 0;
}
Output:
Contents of the vector:
fifth
fourth
third
second
first
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-0.00717631401, -0.0111190323, -0.0255993027] |
02 Aug, 2018 | unordered_multiset cend() function in C++ STL
02 Aug, 2018
The unordered_multiset::cend() is a built-in function in C++ STL which returns a constant iterator pointing to the position immediately after the last element in the container or to the position immediately after the last element in one of its bucket.
Syntax:
unordered_multiset_name.cend(n)
Parameters: The function accepts one parameter. If a parameter is passed, it returns a constant iterator pointing to the position immediately after the last element in the bucket. If no parameter is passed, then it returns a constant iterator pointing to the position immediately after the last element in the unordered_multiset container.
Return Value: It returns a constant iterator. It cannot be used to modify the content of the container.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(10);
sample.insert(15);
sample.insert(15);
sample.insert(13);
sample.insert(13);
cout << "\nElements: ";
// prints all element till the last
for (auto it = sample.cbegin(); it != sample.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: 13 13 10 15 15
Program 2:
// C++ program to illustrate the
// unordered_multiset::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('b');
sample.insert('z');
cout << "\nElements: ";
// prints all element
for (auto it = sample.cbegin(); it != sample.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: z a b b b
Program 3:
// C++ program to illustrate the
// unordered_multiset::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('b');
sample.insert('z');
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "Bucket " << i << ": ";
// if bucket is empty
if (sample.bucket_size(i) == 0)
cout << "empty";
for (auto it = sample.cbegin(i); it != sample.cend(i); it++)
cout << *it << " ";
cout << endl;
}
return 0;
}
Output:
Bucket 0: b b b
Bucket 1: empty
Bucket 2: empty
Bucket 3: z
Bucket 4: empty
Bucket 5: empty
Bucket 6: a
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Algorithm, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0281204879, -0.000597651175, -0.0118004326, 0.0270160139, 0.0217552297, -0.0583627298, -0.0232230183, 0.0235572662, -0.0118149649, -0.00520992, -0.0217988286, -0.000606734073, -0.0159858074, -0.0114080533, 0.00861053728, -0.0280478261, 0.0250395872, 0.0164363161, 0.0220313482, -0.0178605057, 0.00354230963, -0.00606007408, -0.00322985975, -0.00894478615, 0.00125343259, 0.0279024988, -0.039731998, 0.00556233432, -0.00370580074, -0.00122709235, -0.0114589175, 0.00483933976, 0.0351687744, -0.00691386173, 0.0166688375, 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02 Aug, 2018 | unordered_multiset bucket() function in C++ STL
02 Aug, 2018
The unordered_multiset::bucket() is a built-in function in C++ STL which returns the bucket number in which a given element is. Bucket size varies from 0 to bucket_count-1.
Syntax:
unordered_multiset_name.bucket(element)
Parameters: The function accepts a single mandatory element which specifies the value whose bucket number is to be returned.
Return Value: It returns an unsigned integral type which signifies the bucket number in which the element is.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::bucket() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(10);
sample.insert(15);
sample.insert(15);
sample.insert(13);
sample.insert(13);
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "The bucket number in which " << *it
<< " is " << sample.bucket(*it) << endl;
}
return 0;
}
Output:
The bucket number in which 13 is 6
The bucket number in which 13 is 6
The bucket number in which 10 is 3
The bucket number in which 15 is 1
The bucket number in which 15 is 1
Program 2:
// C++ program to illustrate the
// unordered_multiset::bucket() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('c');
sample.insert('c');
sample.insert('e');
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "The bucket number in which " << *it
<< " is " << sample.bucket(*it) << endl;
}
return 0;
}
Output:
The bucket number in which e is 16
The bucket number in which a is 12
The bucket number in which a is 12
The bucket number in which b is 13
The bucket number in which b is 13
The bucket number in which c is 14
The bucket number in which c is 14
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23 Jun, 2022 | unordered_multiset emplace_hint() function in C++ STL
23 Jun, 2022
The unordered_multiset::emplace_hint() is a built-in function in C++ STL which inserts a new element in the unordered_multiset container. It starts searching from the position provided in the parameter for the insertion point of the element. The position only acts as a hint, it does not decide the position at which the insertion is to be done. The insertion is done automatically at the position according to the container’s criterion. It increases the size of the container by one. Syntax:
unordered_multiset_name.emplace_hint(iterator position, val)
Parameters: The function accepts two mandatory parameters which are described below:
position: it specifies the iterator pointing to the position from where search operation for insertion is to be started.
val: it specifies the element which is to be inserted in the container.
Return Value: It returns an iterator which points to the newly inserted element. Below programs illustrates the above function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_multiset::emplace_hint()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element using emplace_hint()
// fast insertions as the search starts
// from the previously inserted positions
auto it = sample.emplace_hint(sample.begin(), 11);
it = sample.emplace_hint(it, 11);
it = sample.emplace_hint(it, 11);
// slow insertions as the search starts from the
// beginning of the containers
sample.emplace_hint(sample.begin(), 12);
sample.emplace_hint(sample.begin(), 13);
sample.emplace_hint(sample.begin(), 13);
sample.emplace_hint(sample.begin(), 14);
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: 14 11 11 11 12 13 13
Time Complexity: O(n)
Auxiliary Space: O(n)
Program 2:
CPP
// C++ program to illustrate the
// unordered_multiset::emplace_hint() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element using emplace_hint()
// fast insertions as the search starts
// from the previously inserted positions
auto it = sample.emplace_hint(sample.begin(), 'a');
it = sample.emplace_hint(it, 'a');
it = sample.emplace_hint(it, 'a');
it = sample.emplace_hint(it, 'b');
// slow insertions as the search starts from the
// beginning of the containers
sample.emplace('b');
sample.emplace('c');
sample.emplace('d');
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: d a a a b b c
Time Complexity: O(n)
Auxiliary Space: O(n)
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02 Aug, 2018 | unordered_multiset end() function in C++ STL
02 Aug, 2018
The unordered_multiset::end() is a built-in function in C++ STL which returns an iterator pointing to the position immediately after the last element in the container or to the position immediately after the last element in one of its bucket.
Syntax:
unordered_multiset_name.end(n)
Parameters: The function accepts one parameter. If a parameter is passed, it returns an iterator pointing to the position immediately after the last element in the bucket. If no parameter is passed, then it returns an iterator pointing to the position immediately after the last element in the unordered_multiset container.
Return Value: It returns an iterator.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(10);
sample.insert(11);
sample.insert(15);
sample.insert(13);
sample.insert(14);
cout << "\nElements: ";
// prints all element till the last
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: 14 13 15 10 11
Program 2:
// C++ program to illustrate the
// unordered_multiset::end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('c');
sample.insert('x');
sample.insert('z');
cout << "\nElements: ";
// prints all element
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: z x c a b
Program 3:
// C++ program to illustrate the
// unordered_multiset::end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('c');
sample.insert('x');
sample.insert('z');
cout << "\nElements in first bucket: ";
// prints all element
for (auto it = sample.begin(1); it != sample.end(1); it++)
cout << *it << " ";
return 0;
}
Output:
Elements in first bucket: x c
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04 Oct, 2018 | unordered_multiset size() in C++ STL
04 Oct, 2018
The size() method of unordered_multiset is used to count the number of elements of unordered_set it is called with. It takes the number of elements in the container and counts the number of elements.
Syntax:
size_type size() const;
where size_type is an unsigned integral type.
Return Value: This function returns the length of the controlled sequence or in short, it returns the number of elements in the container.
Below program illustrate the unordered_multiset size() function :-
Example :
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
// Define the unordered_set
unordered_multiset<int> numbers{ 1, 2, 3, 4, 5, 6 };
// Calculate and print
// the size of the unordered_multiset
cout << "The container has "
<< numbers.size()
<< " elements in it";
}
Output:
The container has 6 elements in it
Complexity :
It takes constant(O(1)) time of complexity to perform an operation.
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02 Aug, 2018 | unordered_multiset emplace() function in C++ STL
02 Aug, 2018
The unordered_multiset::emplace() is a built-in function in C++ STL which inserts a new element in the unordered_multiset container. The insertion is done automatically at the position according to the container’s criterion. It increases the size of the container by one.
Syntax:
unordered_multiset_name.emplace(val)
Parameters: The function accepts a single mandatory parameter val which is to be inserted in the container.
Return Value: It returns an iterator which points to the newly inserted element.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::emplace() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element using emplace()
sample.emplace(11);
sample.emplace(11);
sample.emplace(11);
sample.emplace(12);
sample.emplace(13);
sample.emplace(13);
sample.emplace(14);
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: 14 11 11 11 12 13 13
Program 2:
// C++ program to illustrate the
// unordered_multiset::emplace() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element using emplace()
sample.emplace('a');
sample.emplace('a');
sample.emplace('a');
sample.emplace('b');
sample.emplace('b');
sample.emplace('c');
sample.emplace('d');
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << *it << " ";
return 0;
}
Output:
Elements: d a a a b b c
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02 Aug, 2018 | unordered_multiset find() function in C++STL
02 Aug, 2018
The unordered_multiset::find() is a built-in function in C++ STL which returns an iterator which points to the position which has the element val. If the element does not contain the element val, then it returns an iterator which points to a position past the last element in the container.
Syntax:
unordered_multiset_name.find(val)
Parameters: The function accepts a mandatory parameter val whose position’s iterator is to be returned.
Return Value: It returns an iterator which points to the position where val is.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::find() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(100);
sample.insert(100);
sample.insert(100);
sample.insert(200);
sample.insert(500);
sample.insert(500);
sample.insert(600);
// find the position of 500 and print
auto it = sample.find(500);
if (it != sample.end())
cout << *it << endl;
else
cout << "500 not found\n";
// find the position of 300 and print
it = sample.find(300);
if (it != sample.end())
cout << *it << endl;
else
cout << "300 not found\n";
// find the position of 100 and print
it = sample.find(100);
if (it != sample.end())
cout << *it << endl;
else
cout << "100 not found\n";
return 0;
}
Output:
500
300 not found
100
Program 2:
// C++ program to illustrate the
// unordered_multiset::find() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('a');
sample.insert('b');
sample.insert('c');
sample.insert('d');
sample.insert('d');
sample.insert('d');
// find the position of 'a' and print
auto it = sample.find('a');
if (it != sample.end())
cout << *it << endl;
else
cout << "a not found\n";
// find the position of 'z' and print
it = sample.find('z');
if (it != sample.end())
cout << *it << endl;
else
cout << "z not found\n";
return 0;
}
Output:
a
z not found
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29 Aug, 2024 | unordered_multiset erase() function in C++ STL
29 Aug, 2024
The unordered_multiset::erase() function is a built-in function in C++ STL which is used to remove either a single element or, all elements with a definite value or, a range of elements ranging from start(inclusive) to end(exclusive). This decreases the size of the container by the number of elements removed.
Syntax
unordered_multiset_name.erase(iterator position)unordered_multiset_name.erase(iterator start, iterator end)unordered_multiset_name.erase(key_value)Parameters
This function has three versions.
The first one takes an iterator as an argument, erases the element present at that position.The second version takes two iterator(say start and end) takes 2 iterators as argument and erases all elements in the range [start, end).The third version takes a key value as argument and erases all elements of that value in the multiset.Return Value
The 1st and 2nd version of the function as shown in the above syntax returns an iterator immediately following the last element erased. The 3rd version returns the number of element erased. Below programs illustrate the unordered_multiset::erase() function:
Program 1
CPP
// C++ program to illustrate the
// unordered_multiset::erase() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main(){
unordered_multiset<int> samplemultiSet;
// Inserting elements
samplemultiSet.insert(10);
samplemultiSet.insert(5);
samplemultiSet.insert(15);
samplemultiSet.insert(20);
samplemultiSet.insert(25);
samplemultiSet.insert(10);
samplemultiSet.insert(15);
samplemultiSet.insert(20);
// Erases a particular element by its position
samplemultiSet.erase(samplemultiSet.begin());
// Displaying the set after removal
for (auto it = samplemultiSet.begin();
it != samplemultiSet.end(); it++) {
cout << *it << " ";
}
// erases a range of elements,
// here all the elements
samplemultiSet.erase(samplemultiSet.begin(),
samplemultiSet.end());
cout << "\nMultiSet size: " << samplemultiSet.size();
return 0;
}
Output
20 20 15 15 5 10 10
MultiSet size: 0Time Complexity: O(n), where n is the number of occurrences of the value 10.Auxiliary Space: O(1)
Program 2
CPP
// C++ program to illustrate the
// unordered_multiset::erase() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main(){
unordered_multiset<int> samplemultiSet;
// Inserting elements
samplemultiSet.insert(10);
samplemultiSet.insert(5);
samplemultiSet.insert(15);
samplemultiSet.insert(20);
samplemultiSet.insert(25);
samplemultiSet.insert(10);
samplemultiSet.insert(15);
samplemultiSet.insert(20);
// Erases all elements of value 10
samplemultiSet.erase(10);
// Displaying the set after removal
for (auto it = samplemultiSet.begin();
it != samplemultiSet.end(); it++) {
cout << *it << " ";
}
return 0;
}
Output
25 20 20 15 15 5 Time Complexity: O(n), where n is the number of occurrences of the value 10.Auxiliary Space: O(1)
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02 Aug, 2018 | unordered_multiset clear() function in C++ STL
02 Aug, 2018
The unordered_multiset::clear() is a built-in function in C++ STL which clears the contents of the unordered_multiset container. The final size of the container after the call of the function is 0.
Syntax:
unordered_multiset_name.clear()
Parameters: The function does not accept any parameter.
Return Value: It returns nothing.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::clear() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(11);
sample.insert(11);
sample.insert(11);
sample.insert(12);
sample.insert(13);
sample.insert(13);
sample.insert(14);
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << *it << " ";
}
sample.clear();
cout << "\nSize of container after function call: "
<< sample.size();
return 0;
}
Output:
Elements: 14 11 11 11 12 13 13
Size of container after function call: 0
Program 2:
// C++ program to illustrate the
// unordered_multiset::clear() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(1);
sample.insert(1);
sample.insert(1);
sample.insert(2);
sample.insert(3);
sample.insert(4);
sample.insert(3);
cout << "Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << *it << " ";
}
sample.clear();
cout << "\nSize of container after function call: "
<< sample.size();
return 0;
}
Output:
Elements: 1 1 1 2 3 3 4
Size of container after function call: 0
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Secure?, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0171270892, 0.0172605142, -0.0106255878, 0.0272674896, 0.0305182394, -0.0110804504, -0.0236043297, 0.0142402276, -0.000196538502, 0.0109894779, -0.0441519842, 0.00848470163, -0.0133183738, -0.0249143336, 0.00900021195, -0.0172605142, -0.0159869, 0.0159019921, 0.00655608438, -0.0303969439, 0.0240046084, 0.0154895838, 0.0129302237, -0.00841192342, -6.5149572e-05, 0.00939442683, -0.0195772815, -0.00507626543, 0.00899414718, -0.00519756181, 0.00593747152, -0.00476392638, 0.000377914897, 0.00288079563, -0.0295236073, 0.0195408929, 0.029741941, 0.0143008763, -0.0115717016, -0.00102192443, 0.0173939411, 0.00661066826, 0.0243442394, 0.00179822301, -0.00817539543, 0.013366892, -0.00673802942, -0.0338417701, -0.00977651123, 0.0161445849, 0.0412893817, 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02 Jun, 2021 | unordered_multiset swap() function in C++ STL
02 Jun, 2021
The unordered_multiset::swap() is a built-in function in C++ STL which swaps the contents of two unordered_multiset containers.
Note: Both of the containers should have the same type of elements. Sizes of the containers may differ.
Syntax:
unordered_multiset1.swap(unordered_multiset2);
Parameters: The function accepts only one compulsory parameter i.e unordered_multiset2 with which the swapping of unordered_multiset1 is to be done.
Return Value: It does not return any value.
Below programs illustrate the above function.
Program 1:
C++
// C++ program to illustrate
// unordered_multiset::swap()
#include <iostream>
#include <string>
#include <unordered_set>
using namespace std;
// Function to display the contents of multiset s.
void display(unordered_multiset<int> s)
{
for (auto it = s.begin(); it != s.end(); it++)
cout << *it<<" ";
cout<<"\n";
}
int main()
{
// Declaration
unordered_multiset<int> s1, s2;
// initializing both multisets(sizes are different)
s1 = { 1, 2, 3, 4 };
s2 = { 10, 20, 30, 40, 50 };
// displaying initial values
cout << "Initial values of s1 are: \n";
display(s1);
cout << endl;
cout << "Initial values of s2 are: \n";
display(s2);
cout << endl;
// swapping the values
s1.swap(s2);
// display final values
cout << "Final values of s1 are: \n";
display(s1);
cout << endl;
cout << "Final values of s2 are: \n";
display(s2);
return 0;
}
Output:
Initial values of s1 are:
4 3 2 1
Initial values of s2 are:
50 40 30 20 10
Final values of s1 are:
50 40 30 20 10
Final values of s2 are:
4 3 2 1
Program 2:
C++
// C++ program to illustrate
// unordered_multiset::swap()
#include <iostream>
#include <string>
#include <unordered_set>
using namespace std;
// Function to display the contents of multiset s
void display(unordered_multiset<string> s)
{
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
cout<<endl;
}
int main()
{
// Declaration
unordered_multiset<string> s1, s2;
// Initializing both multisets(sizes are different)
s1 = { "Geeks", "for", "Geeks" };
s2 = { "Computer", "Science", "Portal", "for", "Geeks" };
// Displaying initial values
cout << "Initial values of s1 are: \n";
display(s1);
cout << endl;
cout << "Initial values of s2 are: \n";
display(s2);
cout << endl;
// Swapping
s1.swap(s2);
// Display final values
cout << "Final values of s1 are: \n";
display(s1);
cout << endl;
cout << "Final values of s2 are: \n";
display(s2);
return 0;
}
Output:
Initial values of s1 are:
for Geeks Geeks
Initial values of s2 are:
Geeks for Portal Science Computer
Final values of s1 are:
Geeks for Portal Science Computer
Final values of s2 are:
for Geeks Geeks
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02 Aug, 2018 | unordered_multiset count() function in C++ STL
02 Aug, 2018
The unordered_multiset::count() is a built-in function in C++ STL which returns the count of elements in the unordered_multiset container which is equal to a given value.
Syntax:
unordered_multiset_name.count(val)
Parameters: The function accepts a single mandatory parameter val which specifies the element whose count in the unordered_multiset container is to be returned.
Return Value: It returns an unsigned integral type which denotes the number of times a value occurs in the container.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::count() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(11);
sample.insert(11);
sample.insert(11);
sample.insert(12);
sample.insert(13);
sample.insert(13);
sample.insert(14);
cout << "11 occurs " << sample.count(11) << " times";
cout << "\n12 occurs " << sample.count(13) << " times";
cout << "\n13 occurs " << sample.count(13) << " times";
cout << "\n14 occurs " << sample.count(14) << " times";
return 0;
}
Output:
11 occurs 3 times
12 occurs 2 times
13 occurs 2 times
14 occurs 1 times
Program 2:
// C++ program to illustrate the
// unordered_multiset::count() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('a');
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('c');
sample.insert('c');
cout << "a occurs " << sample.count('a') << " times";
cout << "\nb occurs " << sample.count('b') << " times";
cout << "\nc occurs " << sample.count('c') << " times";
return 0;
}
Output:
a occurs 3 times
b occurs 2 times
c occurs 2 times
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02 Aug, 2018 | unordered_multiset bucket_size() function in C++ STL
02 Aug, 2018
The unordered_multiset::bucket_size() is a built-in function in C++ STL which returns the number of elements in the bucket which has the element val. It will always be lower than the bucket_count. The number of elements in a bucket influences the time it takes to access a particular element in the bucket
Syntax:
unordered_multiset_name.bucket_size(val)
Parameters: The function accepts a parameter val which specifies the element whose size of the bucket is to be returned.
Return Value: It returns an unsigned integral type which denotes the number of elements in the bucket which has the element val.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::bucket_size() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(11);
sample.insert(11);
sample.insert(11);
sample.insert(12);
sample.insert(13);
sample.insert(13);
sample.insert(14);
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "The bucket size in which " << *it
<< " is " << sample.bucket_size(*it) << endl;
}
return 0;
}
Output:
The bucket size in which 14 is 1
The bucket size in which 11 is 3
The bucket size in which 11 is 3
The bucket size in which 11 is 3
The bucket size in which 12 is 1
The bucket size in which 13 is 2
The bucket size in which 13 is 2
Program 2:
// C++ program to illustrate the
// unordered_multiset::bucket_size() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<int> sample;
// inserts element
sample.insert(1);
sample.insert(1);
sample.insert(1);
sample.insert(2);
sample.insert(3);
sample.insert(4);
sample.insert(3);
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "The bucket size in which " << *it
<< " is " << sample.bucket_size(*it) << endl;
}
return 0;
}
Output:
The bucket size in which 1 is 3
The bucket size in which 1 is 3
The bucket size in which 1 is 3
The bucket size in which 2 is 1
The bucket size in which 3 is 2
The bucket size in which 3 is 2
The bucket size in which 4 is 1
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02 Aug, 2018 | unordered_multiset bucket_count() function in C++ STL
02 Aug, 2018
The unordered_multiset::bucket_count() is a built-in function in C++ STL which returns the total number of buckets in the unordered_multiset container. A bucket is a slot in the container’s internal hash table to which elements are assigned based on their hash value.
Syntax:
unordered_multiset_name.bucket_count()
Parameters: The function does not accepts any parameter.
Return Value: It returns an unsigned integral type which denotes the total count of buckets.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multiset::bucket_count() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('b');
sample.insert('z');
cout << "The total count of buckets: " << sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nBucket " << i << ": ";
// if bucket is empty
if (sample.bucket_size(i) == 0)
cout << "empty";
for (auto it = sample.cbegin(i); it != sample.cend(i); it++)
cout << *it << " ";
}
return 0;
}
Output:
The total count of buckets: 7
Bucket 0: b b b
Bucket 1: empty
Bucket 2: empty
Bucket 3: z
Bucket 4: empty
Bucket 5: empty
Bucket 6: a
Program 2:
// C++ program to illustrate the
// unordered_multiset::bucket_count() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multiset<char> sample;
// inserts element
sample.insert('a');
sample.insert('b');
sample.insert('b');
sample.insert('b');
sample.insert('z');
cout << "The total count of buckets: " << sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nBucket " << i << ": ";
// if bucket is empty
if (sample.bucket_size(i) == 0)
cout << "empty";
for (auto it = sample.cbegin(i); it != sample.cend(i); it++)
cout << *it << " ";
}
return 0;
}
Output:
The total count of buckets: 7
Bucket 0: b b b
Bucket 1: empty
Bucket 2: empty
Bucket 3: z
Bucket 4: empty
Bucket 5: empty
Bucket 6: a
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07 Jun, 2023 | unordered_set bucket_count() function in C++ STL
07 Jun, 2023
The unordered_set::bucket_count() method is a builtin function in C++ STL which returns the total number of buckets present in an unordered_set container. The bucket is a slot in the unordered_set’s internal hash table where elements are stored.
Note: Buckets in unordered_set are numbered from 0 to n-1, where n is the total number of buckets.
Syntax:
unordered_set_name.bucket_count();
Parameter: This function does not accepts any parameter.
Return Value: This function returns the current count of buckets present in the unordered_set container.
Below programs illustrate the unordered_set::bucket_count() function:
CPP
// CPP program to illustrate the
// unordered_set::bucket_count() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
cout << "The sampleSet container has " << sampleSet.bucket_count()
<< " number of buckets\n\n";
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << "The Element " << (*itr) << " is present in the bucket: "
<< sampleSet.bucket(*itr);
cout << endl;
}
return 0;
}
Output:
The sampleSet container has 11 number of buckets
The Element 25 is present in the bucket: 3
The Element 5 is present in the bucket: 5
The Element 10 is present in the bucket: 10
The Element 15 is present in the bucket: 4
The Element 20 is present in the bucket: 9
Time Complexity-O(1)
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05 Jun, 2023 | unordered_set cbegin() function in C++ STL
05 Jun, 2023
The unordered_set::cbegin() method is a built-in function in C++ STL which is used to return a const_iterator pointing to the first element in the unordered_set container. This iterator can point to either the very the first element or first element of any specified bucket in the unordered_set container.
Note: A const_iterator can only be used to access elements, it cannot modify the elements present in the container.
Syntax:
unordered_set_name.cbegin(n)
Parameter: This function accepts a single parameter n. This is an optional parameter and specifies the bucket number. If this parameter is not passed then the cbegin() method will return a const_iterator pointing to the first element of the container and if this parameter is passed then the begin() method will return a const_iterator pointing to the first element of specific bucket in the unordered_set container.
Return Value: This function returns a const_iterator pointing to the first element in the container or a specified bucket in the container. Below programs illustrate the unordered_set::cbegin() function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_set::cbegin() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements in the std
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
auto itr1 = sampleSet.cbegin();
auto itr2 = sampleSet.cbegin(4);
cout << "First element in the container is: " << *itr1;
cout << "\nFirst element in the bucket 4 is: " << *itr2;
return 0;
}
Output:
First element in the container is: 25
First element in the bucket 4 is: 15
Time complexity: O(1)Auxiliary Space: O(1)
Program 2:
CPP
// C++ program to illustrate the
// unordered_set::cbegin() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<string> sampleSet;
// Inserting elements
sampleSet.insert("Welcome");
sampleSet.insert("To");
sampleSet.insert("GeeksforGeeks");
sampleSet.insert("Computer Science Portal");
sampleSet.insert("For Geeks");
auto itr1 = sampleSet.cbegin();
auto itr2 = sampleSet.cbegin(0);
cout << "First element in the container is: " << *itr1;
cout << "\nFirst element in the bucket 0 is: " << *itr2;
return 0;
}
Output:
First element in the container is: Welcome
First element in the bucket 0 is: GeeksforGeeks
Time complexity: O(1)Auxiliary Space: O(1)
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30 Oct, 2019 | array::cbegin() and array::cend() in C++ STL
30 Oct, 2019
array::cbegin() is a built-in function in C++ STL which returns a const_iterator pointing to the first element in the array. It cannot be used to modify the element in the array which is possible using array::begin().
Syntax:
array_name.cbegin()
Parameters: The function does not accept any parameters.
Return Value: The function returns a const_iterator pointing to the first element in the array.
Program 1:
// CPP program to illustrate
// the array::cbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
array<int, 5> arr = { 1, 5, 2, 4, 7 };
// Prints the first element
cout << "The first element is " << *(arr.cbegin()) << "\n";
// Print all the elements
cout << "The array elements are: ";
for (auto it = arr.cbegin(); it != arr.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
The first element is 1
The array elements are: 1 5 2 4 7
array::cend() is a built-in function in C++ STL which returns a const_iterator pointing to the theoretical element after the last element in an array.
Syntax:
array_name.cend()
Parameters: The function does not accept any parameters.
Return Value: The function returns a const_iterator pointing to the theoretical element after the last element in an array.
Program 1:
// CPP program to illustrate
// the array::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
array<int, 5> arr = { 1, 5, 2, 4, 7 };
// prints all the elements
cout << "The array elements are: ";
for (auto it = arr.cbegin(); it != arr.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
The array elements are: 1 5 2 4 7
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28 Jul, 2022 | array::rbegin() and array::rend() in C++ STL
28 Jul, 2022
array::rbegin() is a built-in function in C++ STL which returns a reverse iterator pointing to the last element in the container. Syntax:
array_name.rbegin()
Parameters: The function does not accept any parameter. Return value: The function returns a reverse iterator pointing to the last element in the container. Program to demonstrate the array::rbegin() method: Program 1:
CPP
// CPP program to illustrate
// the array::rbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// array initialisation
array<int, 5> arr = { 1, 5, 2, 4, 7 };
// prints the last element
cout << "The last element is " << *(arr.rbegin()) << endl;
// prints all the elements
cout << "The array elements in reverse order are:\n";
for (auto it = arr.rbegin(); it != arr.rend(); it++)
cout << *it << " ";
return 0;
}
Output:
The last element is 7
The array elements in reverse order are:
7 4 2 5 1
Time Complexity: O(N) where N is the size of the array.Auxiliary Space: O(1)
array::rend() is a built-in function in C++ STL which returns a reverse iterator pointing to the theoretical element right before the first element in the array container. Syntax:
array_name.rend()
Parameters: The function does not take any parameter. Return value: The function returns a reverse iterator pointing to the theoretical element right before the first element in the array container. Program to demonstrate the array::rend() method: Program 1:
CPP
// CPP program to illustrate
// the array::rend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
array<int, 5> arr = { 1, 5, 2, 4, 7 };
// prints all the elements
cout << "The array elements in reverse order are:\n";
for (auto it = arr.rbegin(); it != arr.rend(); it++)
cout << *it << " ";
return 0;
}
Output:
The array elements in reverse order are:
7 4 2 5 1
Time Complexity: O(N) where N is the size of the array.Auxiliary Space: O(1)
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18 Oct, 2018 | multimap rbegin in C++ STL
18 Oct, 2018
multimap::rbegin() is a built-in-function in C++ STL which returns an iterator pointing to the last element of the container.
Syntax:
multimap_name.rbegiin()
Parameters: The function does not take any parameter.
Return Value: The function returns a reverse iterator pointing to the last element of the container.
(Note: Reverse iterators iterate backwards i.e when they are increased they move towards the beginning of the container)
The following two programs illustrates the function.
Program 1
// CPP program to illustrate
// multimap::rbegin()
#include <iostream>
#include <map>
using namespace std;
int main()
{
multimap<char, int> sample;
// Insert pairs in the multimap
sample.insert(make_pair('a', 10));
sample.insert(make_pair('b', 20));
sample.insert(make_pair('b', 30));
sample.insert(make_pair('c', 40));
sample.insert(make_pair('c', 50));
// Show content of the multimap
for (auto it = sample.rbegin(); it != sample.rend(); it++)
cout << it->first << " = " << it->second << endl;
}
Output
c = 50
Program 2
Output
c = 50
c = 40
b = 30
b = 20
a = 10
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24 Oct, 2024 | vector rbegin() and rend() Functions in C++ STL
24 Oct, 2024
In C++, std::vector::rbegin() and std::vector::rend() are built-in functions used to retrieve reverse iterators to the reverse beginning and reverse end of a vector. These functions allow easy traversal of vectors in reverse i.e. from the last element to the first. They are the member functions of the std::vector class, defined inside <vector> header file.
Example:
C++
// C++ Program to illustrate the use of
// vector::rbegin() and vector::rend()
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {9, 11, 15, 56};
cout << *v.rbegin() << endl;
cout << *--v.rend();
return 0;
}
Output56
9You may have noticed we have decremented the vector::rend() iterator before dereferencing. The reason is that rend() points to the theoretical element before the first element in the reverse order.
vector::begin() MethodThe std::vector::rbegin() method is used to retrieve a vector::reverse_iterator pointing to the last element (reverse beginning) of the std::vector container.
Syntaxv.rbegin()
Parameters
This function does not take any parameters.Return Value
Returns a reverse iterator pointing to the last element of the vector container.If the vector is empty, it returns the same iterator as vector::rend().vector::rend() MethodThe std::vector::rend() method is used to retrieve a vector::reverse_iterator pointing to the theoretical element that comes before the first element (reverse end) of the vector. We have to be carful while using it as it does not point to the first element. We have to decrement it to access the first element.
Syntaxv.rend()
Parameters
This function does not take any parameters.Return Value
Returns a reverse iterator pointing to the position before the first element of the vector.Supported OperationsIn C++, vector uses random access iterators, so the iterators returned by vector::rbegin() and vector::rend() functions support all the operations allowed in the iterator arithmetic in C++ i.e. dereferencing, incrementing/decrementing, adding/subtracting integers, subtraction of another iterator of same container, comparision.
More Examples of vector::rbegin() and vector::rend()Example 1: Traversing Vector in ReverseWe can traverse the vector in reverse order by incrementing and dereferencing the vector::rbegin() iterator until it is not equal to the vector::rend() iterator.
C++
// C++ program to traverse vector in reverse
// using vector::rbegin() and vector::rend()
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {9, 11, 15, 56};
// Printing all elements in reverse order
for (auto it = v.rbegin(); it != v.rend(); ++it)
cout << *it << " ";
return 0;
}
Output56 15 11 9 Example 2: Modifying Elements in Reverse Order
C++
// C++ program to modify vector elements in reverse
// using vector::rbegin() and vector::rend()
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<int> v = {9, 11, 15, 56};
// Doubling the values in reverse order
for (auto it = v.rbegin(); it != v.rend(); ++it)
*it *= 2;
for (int i : v)
cout << i << " ";
return 0;
}
Output18 22 30 112 Difference Between vector::rbegin() and vector::rend()The following table lists some primary differences between the vector::rbegin() and vector::rend() methods:
vector::rbegin()vector::rend()Returns a reverse iterator to the last element in the vector.Returns a reverse iterator to one element before the first element.Syntax: v.rbegin();
Syntax: v.rend();
We can dereference rbegin() as it points to a valid element.We should not dereference rend() as it does not point to a valid element.
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12 Jun, 2023 | multiset rbegin() and rend() function in C++ STL
12 Jun, 2023
multiset::rbegin() is a built-in function in C++ STL which returns a reverse iterator pointing to the last element in the multiset container.
Syntax:
reverse_iterator multiset_name.rbegin()
Parameters: The function does not take any parameter.
Return value: The function returns a reverse iterator pointing to the last element in the container.
Below program illustrate the multiset::rbegin() method:
CPP
// CPP program to demonstrate the
// multiset::rbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 15, 12, 15, 11, 10, 10 };
// initializes the set from an array
multiset<int> s(arr, arr + 6);
multiset<int>::reverse_iterator rit;
// prints all elements in reverse order
for (rit = s.rbegin(); rit != s.rend(); rit++)
cout << *rit << " ";
cout << "\nThe last element in multiset is " << *(s.rbegin());
return 0;
}
Output:
15 15 12 11 10 10
The last element in multiset is 15
multiset::rend() in an inbuilt function in C++ STL which returns a reverse iterator pointing to the theoretical element right before the first element in the multiset container.
Syntax:
reverse_iterator multiset_name.rend()
Parameter: The function does not accepts any parameter.
Return value: The function returns a reverse iterator pointing to the theoretical element right before the first element in the multiset container.
Below program illustrate the multiset::rend() function:
CPP
// CPP program to demonstrate the
// multiset::rend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 15, 13, 15, 11, 13, 10 };
// initializes the set from an array
multiset<int> s(arr, arr + 6);
multiset<int>::reverse_iterator rit;
// prints all elements in reverse order
for (rit = s.rbegin(); rit != s.rend(); rit++)
cout << *rit << " ";
return 0;
}
Output:
15 15 13 13 11 10
Let us see the differences in a tabular form -:
multiset rbegin()
multiset rend()
1.
It is used to return a reverse iterator pointing to the last element in the container
It is used to return a reverse iterator pointing to the theoretical element right before the first element in the multiset container
2.
Its syntax is -:
reverse_iterator rbegin();
Its syntax is -:
reverse_iterator rend();
3.
It does not take any parameters.
It does not take any parameters.
4.
Its complexity is constant.
Its complexity does not changes.
5.
Its iterator validity does not changes.
Its iterator validity does not change.
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24 Oct, 2018 | map rbegin() function in C++ STL
24 Oct, 2018
The std::map::rbegin() is a function in C++ STL. It returns a reverse iterator which points to the last element of the map. The reverse iterator iterates in reverse order and incrementing it means moving towards beginning of map.
Syntax:
r_i rbegin();
const_r_i rbegin() const;
Parameters: It does not except any parameters.
Returns: It returns a reverse iterator which points to the last element of the map.
Time Complexity: O(1)
Below examples illustrate the map::rbegin() method:
Example 1:
// C++ Program to illustrate
// map::rbegin() method
#include <iostream>
#include <map>
using namespace std;
int main()
{
map<char, int> mp = {
{ 'a', 1 },
{ 'b', 2 },
{ 'c', 3 },
{ 'd', 4 },
{ 'e', 5 },
};
cout << "Map contains following "
<< "elements in reverse order"
<< endl;
for (auto i = mp.rbegin(); i != mp.rend(); ++i)
cout << i->first
<< " = " << i->second
<< endl;
return 0;
}
Output:
Map contains following elements in reverse order
e = 5
d = 4
c = 3
b = 2
a = 1
Example 2:
// C++ Program to illustrate
// map::rbegin() method
#include <iostream>
#include <map>
using namespace std;
int main()
{
map<char, char> mp = {
{ 'a', 'A' },
{ 'b', 'B' },
{ 'c', 'C' },
{ 'd', 'D' },
{ 'e', 'E' },
};
cout << "Map contains following "
<< "elements in reverse order"
<< endl;
for (auto i = mp.rbegin(); i != mp.rend(); ++i)
cout << i->first
<< " = " << i->second
<< endl;
return 0;
}
Output:
Map contains following elements in reverse order
e = E
d = D
c = C
b = B
a = A
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03 Jun, 2020 | map upper_bound() function in C++ STL
03 Jun, 2020
The map::upper_bound() is a built-in function in C++ STL which returns an iterator pointing to the immediate next element just greater than k. If the key passed in the parameter exceeds the maximum key in the container, then the iterator returned points to the number of elements in the map container as key and element=0.
Syntax:
map_name.upper_bound(key)
Parameters: This function accepts a single mandatory parameter key which specifies the element whose upper_bound is returned.
Return Value: The function returns an iterator pointing to the immediate next element which is just greater than k. If the key passed in the parameter exceeds the maximum key in the container, then returned iterator points to map_name.end(). Note that end() is a special iterator that does not store address of a valid member of a map.
Below is the implementation of the above approach:
// C++ function for illustration
// map::upper_bound() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
map<int, int> mp;
// insert elements in random order
mp.insert({ 12, 30 });
mp.insert({ 11, 10 });
mp.insert({ 15, 50 });
mp.insert({ 14, 40 });
// when 11 is present
auto it = mp.upper_bound(11);
cout << "The upper bound of key 11 is ";
cout << (*it).first << " " << (*it).second << endl;
// when 13 is not present
it = mp.upper_bound(13);
cout << "The upper bound of key 13 is ";
cout << (*it).first << " " << (*it).second << endl;
// when 17 is exceeds the maximum key, so size
// of mp is returned as key and value as 0.
it = mp.upper_bound(17);
cout << "The upper bound of key 17 is ";
cout << (*it).first << " " << (*it).second;
return 0;
}
Output:
The upper bound of key 11 is 12 30
The upper bound of key 13 is 14 40
The upper bound of key 17 is 4 0
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STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0149588035, 0.0135148549, 0.00325205154, 0.00108454493, 0.038809292, -0.0317162089, -0.0225585345, 0.0255224295, -0.0341734551, 0.00171468931, -0.0473463237, 0.0310069025, 0.0204179436, -0.00930333696, 0.00179068663, -0.00193318154, 0.0150981322, 0.037061356, -0.0446104221, -0.0292082988, -0.0469410047, 0.00807471387, -0.00811904576, 0.0236224961, -0.0253831018, -0.00605761865, -0.0255604275, -0.0173273869, -0.00122624822, 0.0249271169, -0.0157441087, 0.0208992604, 0.00719441194, 0.00944899861, 0.0085496977, 0.00673209503, 0.00904368, -0.00490182638, -0.0209372584, -0.00631410955, 0.0218112282, 0.00340404618, 0.0423811674, 0.0213552434, -0.00736540603, 0.00966432411, 0.0148828067, -0.0115515906, 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19 Nov, 2024 | Set upper_bound() in C++ STL
19 Nov, 2024
In C++, the set upper_bound() is a built-in method used to find the first element in the set that is just greater than the given value. In this article, we will learn about set upper_bound() function in C++.
Let’s take a quick look at a simple illustration of the function:
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {1, 3, 5, 6, 7};
// Finding upper bound of 3
cout << *s.upper_bound(3);
return 0;
}
Output5Explanation: In the above code, we found the upper bound 5 which is just greater than 3 in the given set s.
This article covers the syntax, usage, and common examples of set upper_bound() method in C++:
Table of Content
Syntax of set upper_bound()Examples of upper_bound()Find Upper Bound in Set of StringsFind Not Existing Upper BoundCheck if an Element Exists in the Setset upper_bound() in C++ – FAQsSyntax of set upper_bound()The set upper_bound() is the member method of std::set class defined inside <set> header file.
s.upper_bound(k);
Parametersk: Value whose upper bound is to be searched.Return ValueReturns an iterator to the first element that is just greater than the given value.If all the elements are less than or equal to the given value, returns iterator to the end.Examples of upper_bound()The following examples demonstrate the use of set upper_bound() function in different cases.
Find Upper Bound in Set of Strings
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
set<string> s = {"hello", "geeks",
"welcome"};
// Finding upper bound of string "hello"
cout << *s.upper_bound("hello");
return 0;
}
OutputwelcomeFind Not Existing Upper Bound
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {1, 5, 3, 7, 6};
// Finding upper bound of 7 in s
auto it = s.upper_bound(7);
if (it != s.end())
cout << *it;
else
cout << "Upper Bound Not Exists.";
return 0;
}
OutputUpper Bound Not Exists.Explanation: In the above code, we are trying to find the upper bound of 7 and all the elements are less than or equal to the 7 in the set container. Hence the upper bound of 7 does not exist in the given set container.
Check if an Element Exists in the Set
C++
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {1, 5, 3, 7, 6};
// Finding upper bound of 7 in s
auto it = --s.upper_bound(7);
if (*it == 7)
cout << "Exists.";
else
cout << "Not Exists.";
return 0;
}
OutputExists.Explanation: As set is sorted, if the given value exists in the set, the set upper_bound() will return the iterator to the element next to the given element. This iterator can be decremented to point to the given element in the set.
Set upper_bound() in C++ – FAQsHow set upper_bound() is different from std::upper_bound() algorithm?set upper_bound() is a member function that works directly on a set, taking advantage of the set’s internal tree structure for efficiency. std::upper_bound() is a generic algorithm that works on any sorted range (like vectors or arrays) and requires random-access iterators.
Does set upper_bound() works with custom comparators?Unllike the std::upper_bound() algorithm, the set upper_bound does not take comparator as argument but insted, it uses the comparator defined for the set during its initialization.
What is the time complexity of set upper_bound()?The time complexity of set upper_bound() is O(log n), where n is the number of elements in the given set container.
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Secure?, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0059334836, 0.0121750338, -0.00159568677, 0.0269557945, 0.0454140939, -0.0198959429, -0.0244399197, 0.0296257, -0.0147743421, 0.000189532933, -0.0326036736, 0.013323864, 0.0169693138, -0.020999847, -0.0179191846, 0.0132468473, 0.0164173618, 0.0210897, -0.00895959232, -0.0311917048, -0.0193568282, -0.0037064217, -0.0230279509, 0.0090687, -0.0388676897, 7.76683883e-05, -0.0388933606, 0.00630893931, 0.0174442492, 0.0150439, -0.00842689443, 0.0135805858, -0.00379306544, 0.00627684919, -0.0149027035, 0.009312585, 0.018509645, 0.00787494238, -0.0212950781, -0.0166997556, -0.00395351648, 0.00638916483, 0.0359410606, 0.0170848388, 0.00731657259, 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-0.0230792947, -0.00410434045] |
25 Jun, 2020 | multimap upper_bound() function in C++ STL
25 Jun, 2020
The multimap::upper_bound(k) is a built-in function in C++ STL which returns an iterator pointing to the immediate next element which is just greater than k. If the key passed in the parameter exceeds the maximum key in the container, then the iterator returned points to key+1 and element=0.
Syntax:
multimap_name.upper_bound(key)
Parameters: This function accepts a single mandatory parameter key which specifies the element whose lower_bound is returned.
Return Value: The function returns an iterator pointing to the immediate next element which is just greater than k. If the key passed in the parameter exceeds the maximum key in the container, then the iterator returned points to key+1 and element=0.
// C++ function for illustration
// multimap::upper_bound() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 2, 60 });
mp.insert({ 2, 20 });
mp.insert({ 1, 50 });
mp.insert({ 4, 50 });
// when 2 is present
auto it = mp.upper_bound(2);
cout << "The upper bound of key 2 is ";
cout << (*it).first << " " << (*it).second << endl;
// when 3 is not present
it = mp.upper_bound(3);
cout << "The upper bound of key 3 is ";
cout << (*it).first << " " << (*it).second << endl;
// when 5 is exceeds the maximum key
it = mp.upper_bound(5);
cout << "The upper bound of key 5 is ";
cout << (*it).first << " " << (*it).second;
return 0;
}
Output:
The upper bound of key 2 is 4 50
The upper bound of key 3 is 4 50
The upper bound of key 5 is 6 0
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jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.021871645, 0.0165307429, -0.0036441884, 0.0103365993, 0.0289711356, -0.0283719115, -0.0380636938, 0.0292577203, -0.0261052866, 0.0186019707, -0.040147949, 0.0119063025, 0.00738607626, -0.0118411705, -0.0241382699, -0.0218325648, 0.00748377573, 0.0242555104, -0.0471562557, -0.0305082723, -0.0329833254, 0.000232239676, -0.0174947102, 0.0231612772, -0.0288148168, -0.00839563739, -0.0150066316, -0.022197308, 0.00209890935, 0.0150326844, -0.0375686847, 0.0198525228, 0.0199046284, 0.00199469645, 0.00127660576, 0.00948987063, 0.0301174745, 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-0.0089883469, -0.0170648322, 0.00715159765] |
12 Jun, 2023 | multimap empty() function in C++ STL
12 Jun, 2023
The multimap::empty() is a boolean type observer function in C++ STL which tells whether the container is empty or not. This function returns true when the multimap container is empty (i.e. the size of the container is 0). Being an observer function it does not modify the multimap in any way.
Syntax:
multimap1.empty()
Return Value: This method returns a boolean type value. It returns true when multimap is empty else returns false.
Below program illustrate the multimap::empty() function:
CPP
// C++ program to demonstrate
// std::multimap::empty
#include <iostream>
#include <map>
using namespace std;
int main()
{
// declaring multimap
multimap<char, int> mmap;
// checking if mmap is empty or not
if (mmap.empty())
cout << "multimap is empty\n";
// inserting values to mmap
// thus making it non empty
mmap.insert(pair<char, int>('a', 26));
mmap.insert(pair<char, int>('b', 30));
mmap.insert(pair<char, int>('c', 44));
// checking that mmap is now not empty
if (mmap.empty())
cout << "multimap is empty\n";
else
cout << "multimap is not empty\n";
return 0;
}
Output:
multimap is empty
multimap is not empty
Time Complexity : O(1)
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jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0281271785, 0.0149908587, -0.014527224, 0.0311705247, 0.0318600312, -0.0292208809, -0.0331201702, 0.0144083435, 0.00371502247, 0.00253661745, -0.00902899075, 0.0192586761, -0.0262250863, -0.0181887504, -0.01516918, -0.0373523235, 0.0186761618, 0.0224565677, -0.00904087909, -0.0157041438, -0.0148363141, 0.0146817686, -0.012803453, 0.0105387755, 0.0108240899, -0.00841081049, 0.0141111417, -0.0153475013, -0.00435995031, -0.000619294238, -0.00352778542, 0.0122922668, 0.000509329606, 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12 Jun, 2023 | multimap value_comp() function in C++ STL
12 Jun, 2023
The multimap::value_comp() method returns a comparison object that can be used to compare two elements to get whether the key of the first one goes before the second. Here the 1st object compares the object of type std::multimap::type. The arguments taken by this function object are of member type type. It is defined in multimap as an alias of pair.
Syntax:
multimap::compared_value value_comp() const;
Here compared_value is a nested class type Parameters: It does not accepts any parameter.
Return Value: This method returns the comparison object which is an object of the member type multimap::compared_value, which is a nested class that uses the internal comparison object to generate the appropriate comparison functional class.
Below program illustrate the multimap value_comp() function:
CPP
// C++ program to show
// the use of multimap::value_comp
#include <iostream>
#include <map>
using namespace std;
int main()
{
multimap<char, int> m;
// making of pair
m.insert(make_pair('a', 10));
m.insert(make_pair('b', 20));
m.insert(make_pair('c', 30));
m.insert(make_pair('d', 40));
pair<char, int> p = *m.rbegin();
// last element
multimap<char, int>::iterator i = m.begin();
do {
cout << (*i).first
<< " = " << (*i).second
<< '\n';
} while (m.value_comp()(*i++, p));
return 0;
}
Output:
a = 10
b = 20
c = 30
d = 40
Time Complexity: O(1)
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function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [-0.0181060601, 0.00404033391, -0.0104478672, 0.0280845109, 0.0111050503, 0.0143239051, -0.0512334444, 0.012902244, -0.0279235672, 0.00652824063, -0.0153700328, 0.0214456227, -0.0197423119, -0.000908656, -0.00224481616, -0.0256301332, 0.00237390562, 0.0307132434, -0.03479046, -0.00379556674, -0.00939503312, -0.00846290682, -0.0026924382, 0.0203324351, -0.018226767, 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18 Nov, 2020 | multimap swap() function in C++ STL
18 Nov, 2020
The multimap::swap() is a built-in function in C++ STL which swaps two multimap container. The contents of multimap1 are in multimap2 and contents of multimap2 are in multimap1 after swap() function is called.
Syntax:
multimap1_name.swap(multimap2_name)
Parameters: This function accepts one parameter which is to be swapped with the multimap1_name,
Return Value: The function does not returns anything.
// C++ function for illustration
// multimap::swap() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp1, mp2;
// insert elements in random order
mp1.insert({ 2, 30 });
mp1.insert({ 1, 40 });
mp2.insert({ 10, 60 });
mp2.insert({ 9, 20 });
cout << "\nThe multimap1 before applying swap() is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp1.begin(); itr != mp1.end(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
cout << "\nThe multimap2 before applying swap() is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp2.begin(); itr != mp2.end(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
// performs swap operation of two multimap
mp1.swap(mp2);
cout << "\nThe multimap1 after applying swap() is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp1.begin(); itr != mp1.end(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
cout << "\nThe multimap2 after applying swap() is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp2.begin(); itr != mp2.end(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
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25 Jan, 2018 | multimap::swap() in C++ STL
25 Jan, 2018
multimap::swap() is used to swap the contents of one multimap with another multimap of same type and size.
Syntax:-
multimap1.swap(multimap2)
Parameters :
The name of the multimap with which
the contents have to be swapped.
Result :
All the elements of the 2 multimap are swapped.
Examples:
Input: multimap1 = { ('a',1), ('b',2), ('c',3)
multimap2 = ( ('d',4), ('e',5) )
multimap1.swap(multimap2);
Output: MultiMap 1 data
('d', 4), ('e', 5)
MultiMap 2 data
('a',1), ('b',2), ('c',3)
Input: multimap1 = { ('abc',10) , ('bef',12) , ('efg',13)
multimap2 = ( ('def',14), ('ehi',15) )
multimap1.swap(multimap2);
Output: multimap 1 data
('def',14), ('ehi',15)
multimap 2 data
('abc',10) , ('bef',12) , ('efg',13)
// CPP Program to illustrate...
#include<iostream>
#include<map>
using namespace std;
int main()
{
// initialize multimap
multimap<char,int > m1;
multimap<char,int> m2;
// iterator for iterate all
// element of multimap
multimap<char,int >:: iterator iter;
// multimap1 data
m1.insert(make_pair('a',1));
m1.insert(make_pair('b',2));
m1.insert(make_pair('c',3));
// multimap2 data
m2.insert(make_pair('d',4));
m2.insert(make_pair('e',5));
// swap multimap1 data with
// multimap2 data
m1.swap(m2);
// multimap1 data
cout << "MultiMap 1 data" << "\n";
for( iter = m1.begin() ;
iter != m1.end() ; iter++)
cout << (*iter).first << " "
<< (*iter).second << "\n";
// multimap2 data
cout << "MultiMap 2 data" << "\n";
for( iter = m2.begin() ;
iter != m2.end() ; iter++ )
cout << (*iter).first << " "
<< (*iter).second << "\n";
}
Output:-
MultiMap 1 data
d 4
e 5
MultiMap 2 data
a 1
b 2
c 3
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jqxTree width Property, multimap::swap() in C++ STL, Implementation of lower_bound() and upper_bound() in List of Pairs in C++, jQWidgets jqxTree clear() Method, TLS Handshake?, multiset rbegin() and rend() function in C++ STL, Algorithm for Dynamic Time out timer Calculation, Adhoc TCP, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow 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13 Nov, 2020 | multimap equal_range() in C++ STL
13 Nov, 2020
The multimap::equal_range() is a built-in function in C++ STL which returns an iterator of pairs. The pair refers to the bounds of a range that includes all the elements in the container which have a key equivalent to k. If there are no matches with key K, the range returned is of length 0 with both iterators pointing to the first element that has a key considered to go after k according to the container’s internal comparison object (key_comp).
Syntax:
iterator multimap_name.equal_range(key)
Parameters: This function accepts a single mandatory parameter key which specifies the element whose range in the container is to be returned.
Return Value: The function returns an iterator of pairs. The pair refers to the bounds of a range that includes all the elements in the container which have a key equivalent to k. If there are no matches with key K, the range returned is of length 0 with both iterators pointing to the first element that has a key considered to go after k according to the container’s internal comparison object (key_comp).
Program below illustrate the above method:
C++
// C++ program to illustrate the
// multimap::equal_range() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 1, 20 });
mp.insert({ 5, 50 });
// Stores the range of key 1
auto it = mp.equal_range(1);
cout << "The multimap elements of key 1 is : \n";
cout << "KEY\tELEMENT\n";
// Prints all the elements of key 1
for (auto itr = it.first; itr != it.second; ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output:
The multimap elements of key 1 is :
KEY ELEMENT
1 40
1 20
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05 Jun, 2023 | unordered_set equal_range in C++ STL
05 Jun, 2023
equal_range() in general returns range that includes all elements equal to given value. For unordered_set where all keys are distinct, the returned range contains at-most one element.
Syntax
setname.equal_range(key name)
Arguments It takes the key to be searched as parameter.
Return Value It returns two iteraters—- lower and upper bound of the range that contains the key.
Example
CPP
// C++ program to illustrate the
// unordered_set::equal_range function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
// declaration
unordered_set<int> sample;
// Insert some values
sample.insert({ 20, 30, 40 });
// Test the equal_range function for
// a given key if it does exists
auto range1 = sample.equal_range(20);
if (range1.first != sample.end()) {
for (; range1.first != range1.second; ++range1.first)
cout << *range1.first << endl;
}
else
cout << "Element does not exist";
return 0;
}
Output
20
CPP
// C++ program to illustrate the
// unordered_set::equal_range function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
// declaration
unordered_set<int> sample;
// Insert some values
sample.insert({ 20, 30, 40 });
// Test the equal_range function
// for a given key if it does not exist
auto range1 = sample.equal_range(60);
if (range1.first != sample.end()) {
for (; range1.first != range1.second; ++range1.first)
cout << *range1.first << endl;
}
else
cout << "Element does not exist";
return 0;
}
Output
Element does not exist
Time complexity: O(n)
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function in C++ STL, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, multimap::swap() in C++ STL, multimap equal_range() in C++ STL, Implementation of lower_bound() and upper_bound() in List of Pairs in C++, jQWidgets jqxTree clear() Method, TLS Handshake?, multiset rbegin() and rend() function in C++ STL, Algorithm for Dynamic Time out timer Calculation, Adhoc TCP, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, 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10 Nov, 2022 | set vs unordered_set in C++ STL
10 Nov, 2022
Differences :
| set | unordered_set
---------------------------------------------------------
Ordering | increasing order | no ordering
| (by default) |
Implementation | Self balancing BST | Hash Table
| like Red-Black Tree |
search time | log(n) | O(1) -> Average
| | O(n) -> Worst Case
Insertion time | log(n) + Rebalance | Same as search
Deletion time | log(n) + Rebalance | Same as search
Use set when
We need ordered data.
We would have to print/access the data (in sorted order).
We need predecessor/successor of elements.
Since set is ordered, we can use functions like binary_search(), lower_bound() and upper_bound() on set elements. These functions cannot be used on unordered_set().
See advantages of BST over Hash Table for more cases.
Use unordered_set when
We need to keep a set of distinct elements and no ordering is required.
We need single element access i.e. no traversal.
Examples:
set:
Input : 1, 8, 2, 5, 3, 9
Output : 1, 2, 3, 5, 8, 9
Unordered_set:
Input : 1, 8, 2, 5, 3, 9
Output : 9 3 1 8 2 5
If you want to look at implementation details of set and unordered_set in c++ STL, see Set Vs Map. Set allows to traverse elements in sorted order whereas Unordered_set doesn’t allow to traverse elements in sorted order.
Implementation:
CPP
// Program to print elements of set
#include <bits/stdc++.h>
using namespace std;
int main()
{
set<int> s;
s.insert(5);
s.insert(1);
s.insert(6);
s.insert(3);
s.insert(7);
s.insert(2);
cout << "Elements of set in sorted order: \n";
for (auto it : s)
cout << it << " ";
return 0;
}
Output
Elements of set in sorted order:
1 2 3 5 6 7
Implementation:
CPP
// Program to print elements of set
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_set<int> s;
s.insert(5);
s.insert(1);
s.insert(6);
s.insert(3);
s.insert(7);
s.insert(2);
cout << "Elements of unordered_set: \n";
for (auto it : s)
cout << it << " ";
return 0;
}
Output
Elements of unordered_set:
2 7 3 6 5 1
Predecessor/Successor in Set: Set can be modified to find predecessor or successor whereas Unordered_set doesn’t allow to find predecessor/Successor.
Implementation:
CPP
// Program to print inorder predecessor and inorder successor
#include <bits/stdc++.h>
using namespace std;
set<int> s;
void inorderPredecessor(int key)
{
if (s.find(key) == s.end()) {
cout << "Key doesn't exist\n";
return;
}
set<int>::iterator it;
it = s.find(key); // get iterator of key
// If iterator is at first position
// Then, it doesn't have predecessor
if (it == s.begin()) {
cout << "No predecessor\n";
return;
}
--it; // get previous element
cout << "predecessor of " << key << " is=";
cout << *(it) << "\n";
}
void inorderSuccessor(int key)
{
if (s.find(key) == s.end()) {
cout << "Key doesn't exist\n";
return;
}
set<int>::iterator it;
it = s.find(key); // get iterator of key
++it; // get next element
// Iterator points to NULL (Element does
// not exist)
if (it == s.end())
{
cout << "No successor\n";
return;
}
cout << "successor of " << key << " is=";
cout << *(it) << "\n";
}
int main()
{
s.insert(1);
s.insert(5);
s.insert(2);
s.insert(9);
s.insert(8);
inorderPredecessor(5);
inorderPredecessor(1);
inorderPredecessor(8);
inorderSuccessor(5);
inorderSuccessor(2);
inorderSuccessor(9);
return 0;
}
Output
predecessor of 5 is=2
No predecessor
predecessor of 8 is=5
successor of 5 is=8
successor of 2 is=5
No successor
Let us see the differences in a tabular form -:
set
unordered_set
1.
It is used to store the unique elements.
It is used to store the unique elements.
2.
Sets are implemented using Binary search trees.
It is implemented using hash table
3.
It stores the elements in increasing order.
It stores the element with no order.
4.
We can traverse sets using iterators.
We can traverse unordered_set using iterators.
5.
It is included in #include <set> header file.
It is included in #include <unordered_set> header file.
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05 Jun, 2023 | unordered_set count() function in C++ STL
05 Jun, 2023
The unordered_set::count() function is a built-in function in C++ STL which is used to count occurrences of a particular element in an unordered_set container. As the unordered_set container does not allows to store duplicate elements so this function is generally used to check if an element is present in the container or not. The function returns 1 if the element is present in the container otherwise it returns 0.Syntax:
unordered_set_name.count(element)
Parameter: This function accepts a single parameter element. This parameter represents the element which is needed to be checked if it is present in the container or not.Return Value: This function returns 1 if the element is present in the container otherwise it returns 0.Time Complexity: Time Complexity for unordered_set::count() method is O(1) in average cases, but in worst case, time complexity can be O(N) i.e. Linear, where N is size of container.
Below programs illustrate the unordered_set::count() function:
Program 1:
CPP
// CPP program to illustrate the
// unordered_set::count() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
// displaying all elements of sampleSet
cout << "sampleSet contains: ";
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << *itr << " ";
}
// checking if element 20 is present in the set
if (sampleSet.count(20) == 1) {
cout << "\nElement 20 is present in the set";
}
else {
cout << "\nElement 20 is not present in the set";
}
return 0;
}
Output:
sampleSet contains: 25 5 10 15 20
Element 20 is present in the set
Program 2:
CPP
// C++ program to illustrate the
// unordered_set::count() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<string> sampleSet;
// Inserting elements
sampleSet.insert("Welcome");
sampleSet.insert("To");
sampleSet.insert("GeeksforGeeks");
sampleSet.insert("Computer Science Portal");
sampleSet.insert("For Geeks");
// displaying all elements of sampleSet
cout << "sampleSet contains: ";
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << *itr << " ";
}
// checking if element GeeksforGeeks is
// present in the set
if (sampleSet.count("GeeksforGeeks") == 1) {
cout << "\nGeeksforGeeks is present in the set";
}
else {
cout << "\nGeeksforGeeks is not present in the set";
}
return 0;
}
Output:
sampleSet contains: Welcome To GeeksforGeeks For Geeks Computer Science Portal
GeeksforGeeks is present in the set
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STL/unordered_multiset swap() function in C++ STL/unordered_multiset bucket_size() function in C++ STL/unordered_multiset bucket_count() function in C++ STL/unordered_set bucket_count() function in C++ STL/unordered_set cbegin() function in C++ STL/array::cbegin() and array::cend() in C++ STL/array::rbegin() and array::rend() in C++ STL/multimap rbegin in C++ STL/vector rbegin() and rend() Functions in C++ STL/multiset rbegin() and rend() function in C++ STL/map rbegin() function in C++ STL/map upper_bound() function in C++ STL/Set upper_bound() in C++ STL/multimap upper_bound() function in C++ STL/multimap empty() function in C++ STL/multimap value_comp() function in C++ STL/multimap swap() function in C++ STL/multimap::swap() in C++ STL/multimap equal_range() in C++ STL/unordered_set equal_range in C++ STL/set vs unordered_set in C++ STL/unordered_set count() function in C++ STL | https://www.geeksforgeeks.org/unordered_set-count-function-in-c-stl?ref=asr10 | PHP | unordered_set count() function in C++ STL | unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree destroy() Method, unordered_set bucket_count() function in C++ STL, jQWidgets jqxTree collapseAll() Method, Find the order of execution of given N processes in Round Robin Scheduling, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Vector push_back() in C++ STL, jQWidgets jqxListBox enableHover Property, Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm, std::rotate vs std::rotate_copy in C++ STL, Selfish Round Robin CPU Scheduling, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap 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05 Jun, 2023 | unordered_set bucket() function in C++ STL
05 Jun, 2023
The unordered_set::bucket() method is a builtin function in C++ STL which returns the bucket number of a specific element. That is, this function returns the bucket number where a specific element is stored in the unordered_set container. The bucket is a slot in the unordered_set’s internal hash table where elements are stored.
Note: Buckets in unordered_set are numbered from 0 to n-1, where n is the total number of buckets.
Syntax:
unordered_set_name.bucket(element);
Parameter: This is a mandatory parameter and specifies the value of the element whose bucket number is needed to know in the unordered_set container.
Return Value: This function returns the bucket number of the bucket in the unordered_set container where the element with value element is stored.
Below programs illustrate the unordered_set::bucket() function:
CPP
// C++ program to illustrate the
// unordered_set::bucket() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << "The Element " << (*itr) << " is present in the bucket: "
<< sampleSet.bucket(*itr);
cout << endl;
}
return 0;
}
Output:
The Element 25 is present in the bucket: 3
The Element 5 is present in the bucket: 5
The Element 10 is present in the bucket: 10
The Element 15 is present in the bucket: 4
The Element 20 is present in the bucket: 9
Time complexity: O(1)
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STL/unordered_multiset swap() function in C++ STL/unordered_multiset bucket_size() function in C++ STL/unordered_multiset bucket_count() function in C++ STL/unordered_set bucket_count() function in C++ STL/unordered_set cbegin() function in C++ STL/array::cbegin() and array::cend() in C++ STL/array::rbegin() and array::rend() in C++ STL/multimap rbegin in C++ STL/vector rbegin() and rend() Functions in C++ STL/multiset rbegin() and rend() function in C++ STL/map rbegin() function in C++ STL/map upper_bound() function in C++ STL/Set upper_bound() in C++ STL/multimap upper_bound() function in C++ STL/multimap empty() function in C++ STL/multimap value_comp() function in C++ STL/multimap swap() function in C++ STL/multimap::swap() in C++ STL/multimap equal_range() in C++ STL/unordered_set equal_range in C++ STL/set vs unordered_set in C++ STL/unordered_set count() function in C++ STL/unordered_set bucket() function in C++ STL | 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05 Jun, 2023 | unordered_set emplace() function in C++ STL
05 Jun, 2023
The unordered_set::emplace() function is a built-in function in C++ STL which is used to insert an element in an unordered_set container. The element is inserted only if it is not already present in the container. This insertion also effectively increases the container size 1.Syntax:
unordered_set_name.emplace(element)
Parameter: This function accepts a single parameter element which is to be inserted in the unordered_set container.Return Value: This function returns a pair on successful insertion. The pair consists of an iterator pointing to the newly inserted element and a boolean value True. If the element to be inserted is already present in the container then it returns a pair with an iterator pointing to the already present element and a boolean value false.Below programs illustrate the unordered_set::emplace() function:Program 1:
CPP
// C++ program to illustrate the
// unordered_set::emplace() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements
sampleSet.emplace(5);
sampleSet.emplace(10);
sampleSet.emplace(15);
sampleSet.emplace(20);
sampleSet.emplace(25);
// displaying all elements of sampleSet
cout << "sampleSet contains: ";
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << *itr << " ";
}
return 0;
}
Output:
sampleSet contains: 25 5 10 15 20
Program 2:
CPP
// C++ program to illustrate the
// unordered_set::emplace() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<string> sampleSet;
// Inserting elements using
// emplace() function
sampleSet.emplace("Welcome");
sampleSet.emplace("To");
sampleSet.emplace("GeeksforGeeks");
sampleSet.emplace("Computer Science Portal");
sampleSet.emplace("For Geeks");
// displaying all elements of sampleSet
cout << "sampleSet contains: ";
for (auto itr = sampleSet.begin(); itr != sampleSet.end(); itr++) {
cout << *itr << " ";
}
return 0;
}
Output:
sampleSet contains: Welcome To GeeksforGeeks For Geeks Computer Science Portal
Time complexity: O(n)
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List of Pairs in C++/Difference between std::set::lower_bound and std::lower_bound in C++/Difference between std::set vs std::vector in C++ STL/std::minmax() and std::minmax_element() in C++ STL/std::rotate vs std::rotate_copy in C++ STL/std::bitset::to_ullong and std::bitset::to_ulong in C++ STL/std::upper_bound and std::lower_bound for Vector in C++ STL/std::fixed, std::scientific, std::hexfloat, std::defaultfloat in C++/std::string::append vs std::string::push_back() vs Operator += in C++/Vector push_back() in C++ STL/vector :: cbegin() and vector :: cend() in C++ STL/unordered_multiset cend() function in C++ STL/unordered_multiset bucket() function in C++ STL/unordered_multiset emplace_hint() function in C++ STL/unordered_multiset end() function in C++ STL/unordered_multiset size() in C++ STL/unordered_multiset emplace() function in C++ STL/unordered_multiset find() function in C++STL/unordered_multiset erase() function in C++ STL/unordered_multiset clear() function in C++ 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23 Jan, 2018 | set::emplace() in C++ STL
23 Jan, 2018
Sets are a type of associative containers in which each element has to be unique, because the value of the element identifies it. The value of the element cannot be modified once it is added to the set, though it is possible to remove and add the modified value of that element.
set::emplace()
This function is used to insert a new element into the set container, only if the element to be inserted is unique and does not already exists in the set.
Syntax :
setname.emplace(value)
Parameters :
The element to be inserted into the set
is passed as the parameter.
Result :
The parameter is added to the set if
the set does not contain that element already.
Examples:
Input : myset{1, 2, 3, 4, 5};
myset.emplace(6);
Output : myset = 1, 2, 3, 4, 5, 6
Input : myset{1, 2, 3, 4, 5};
myset.emplace(4);
Output : myset = 1, 2, 3, 4, 5
Errors and Exceptions
1. It has a strong exception guarantee, therefore, no changes are made if an exception is thrown
2. Parameter should be of the same type as that of the container otherwise, an error is thrown
// INTEGER SET EXAMPLE
// CPP program to illustrate
// Implementation of emplace() function
#include <iostream>
#include <set>
using namespace std;
int main()
{
set<int> myset{};
myset.emplace(2);
myset.emplace(6);
myset.emplace(8);
myset.emplace(9);
myset.emplace(0);
// set becomes 0, 2, 6, 8, 9
// adding unique element
myset.emplace(5);
// set becomes 0, 2, 5, 6, 8, 9
// adding element which already
// exists there will be no
// change in the set
myset.emplace(2);
// set remains 0, 2, 5, 6, 8, 9
// printing the set
for (auto it = myset.begin();
it != myset.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
0 2 5 6 8 9
// STRING SET EXAMPLE
// CPP program to illustrate
// Implementation of emplace() function
#include <iostream>
#include <set>
#include <string>
using namespace std;
int main()
{
set<string> myset{};
myset.emplace("This");
myset.emplace("is");
myset.emplace("a");
myset.emplace("computer science");
myset.emplace("portal");
// set becomes This, a, computer
// science, is, portal
// adding unique element
myset.emplace("GeeksForGeeks");
// set becomes GeeksForGeeks, This, is,
// a, computer science, portal
// adding element which already exists
// there will be no change in the set
myset.emplace("is");
// set remains GeeksForGeeks, This, is,
// a, computer science, portal
// printing the set
for (auto it = myset.begin();
it != myset.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
GeeksForGeeks This a computer science is portal
Time Complexity : O(logn)
Application
Input an empty multi set with the following numbers and order using emplace() function and find sum of elements.
Input : 7, 9, 4, 6, 2, 5, 3
Output : 36
// CPP program to illustrate
// Application of emplace() function
#include <iostream>
#include <set>
using namespace std;
int main()
{
// sum variable declaration
int sum = 0;
// set declaration
set<int> myset{};
myset.emplace(7);
myset.emplace(9);
myset.emplace(4);
myset.emplace(6);
myset.emplace(2);
myset.emplace(5);
myset.emplace(3);
// iterator declaration
set<int>::iterator it;
// finding sum of elements
while (!myset.empty()) {
it = myset.begin();
sum = sum + *it;
myset.erase(it);
}
// printing the sum
cout << sum;
return 0;
}
Output :
36
emplace() vs insert
When we use insert, we create an object and then insert it into the multiset. With emplace(), the object is constructed in-place.
// C++ code to demonstrate difference between
// emplace and insert
#include<bits/stdc++.h>
using namespace std;
int main()
{
// declaring set
set<pair<char, int>> ms;
// using emplace() to insert pair in-place
ms.emplace('a', 24);
// Below line would not compile
// ms.insert('b', 25);
// using emplace() to insert pair in-place
ms.insert(make_pair('b', 25));
// printing the set
for (auto it = ms.begin(); it != ms.end(); ++it)
cout << " " << (*it).first << " "
<< (*it).second << endl;
return 0;
}
Output :
a 24
b 25
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14 May, 2020 | multiset::emplace() in C++ STL
14 May, 2020
Multisets are a type of associative containers similar to set, with an exception that multiple elements can have same values.
multiset::emplace()
This function is used to insert a new element into the multiset container.
Syntax :
multisetname.emplace(value)
Parameters :
The element to be inserted into the multiset
is passed as the parameter.
Result :
The parameter is added to the multiset.
Examples:
Input : mymultiset{1, 2, 3, 4, 5};
mymultiset.emplace(6);
Output : mymultiset = 1, 2, 3, 4, 5, 6
Input : mymultiset{};
mymultiset.emplace("This");
mymultiset.emplace("is");
mymultiset.emplace("Geeksforgeeks");
Output : mymultiset = Geeksforgeeks, This, is
Errors and Exceptions
1. It has a strong exception guarantee, therefore, no changes are made if an exception is thrown
2. Parameter should be of same type as that of the container, otherwise an error is thrown
// INTEGER EXAMPLE
// CPP program to illustrate
// Implementation of emplace() function
#include <iostream>
#include <set>
using namespace std;
int main()
{
multiset<int> mymultiset{};
mymultiset.emplace(1);
mymultiset.emplace(56);
mymultiset.emplace(4);
mymultiset.emplace(9);
mymultiset.emplace(0);
// multi set becomes 0, 1, 4, 9, 56
// adding another element
mymultiset.emplace(87);
// printing the multiset
for (auto it = mymultiset.begin();
it != mymultiset.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
0 1 4 9 56 87
// STRING EXAMPLE
// CPP program to illustrate
// Implementation of emplace() function
#include <iostream>
#include <set>
#include <string>
using namespace std;
int main()
{
multiset<string> mymultiset{};
mymultiset.emplace("This");
mymultiset.emplace("is");
mymultiset.emplace("a");
mymultiset.emplace("computer science");
mymultiset.emplace("portal");
// multi set becomes This, a,
// computer science, is, portal
// adding element
mymultiset.emplace("GeeksForGeeks");
// printing the multiset
for (auto it = mymultiset.begin();
it != mymultiset.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
GeeksForGeeks This a computer science is portal
Application
Input an empty multi set with the following numbers and order using emplace() function and find sum of elements. The advantage of emplace() over insert is, it avoids unnecessary copy of object.
Input : 7, 9, 4, 6, 2, 5, 3
Output : 36
// CPP program to illustrate
// Application of emplace() function
#include <iostream>
#include <set>
using namespace std;
int main()
{
// sum variable declaration
int sum = 0;
// multiset declaration
multiset<int> mymultiset{};
mymultiset.emplace(7);
mymultiset.emplace(9);
mymultiset.emplace(4);
mymultiset.emplace(6);
mymultiset.emplace(2);
mymultiset.emplace(5);
mymultiset.emplace(3);
// iterator declaration
set<int>::iterator it;
// finding sum of elements
while (!mymultiset.empty()) {
it = mymultiset.begin();
sum = sum + *it;
mymultiset.erase(it);
}
// printing the sum
cout << sum;
return 0;
}
Output :
36
Time Complexity : O(logn)
emplace() vs insert()
When we use insert, we create an object and then insert it into the multiset. With emplace(), the object is constructed in-place.
// C++ code to demonstrate difference between
// emplace and insert
#include<bits/stdc++.h>
using namespace std;
int main()
{
// declaring multiset of pairs
multiset<pair<char, int>> ms;
// using emplace() to insert pair in-place
ms.emplace('a', 24);
// Below line would not compile
// ms.insert('b', 25);
// using insert() to insert pair in-place
ms.insert(make_pair('b', 25));
// printing the multiset
for (auto it = ms.begin(); it != ms.end(); ++it)
cout << " " << (*it).first << " "
<< (*it).second << endl;
return 0;
}
Output :
a 24
b 25
Please refer Inserting elements in std::map (insert, emplace and operator []) for details.
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07 Jul, 2022 | multiset find() function in C++ STL
07 Jul, 2022
The multiset::find() is a built-in function in C++ STL which returns an iterator pointing to the lower_bound of the element which is searched in the multiset container. If the element is not found, then the iterator points to the position past the last element in the set.
Syntax:
multiset_name.find(element)
Parameters: The function accepts one mandatory parameter element which specifies the element to be searched in the multiset container.
Return Value: The function returns an iterator which points to the element which is searched in the multiset container. If the element is not found, then the iterator points to the position just after the last element in the multiset.
Time complexity: If n is the size of multiset, then the time complexity of multiset::find() function is logarithmic order of n i.e. O(log(n)).
Below program illustrates the above function.
Program 1:
CPP
// CPP program to demonstrate the
// multiset::find() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// Initialize multiset
multiset<int> s;
s.insert(1);
s.insert(4);
s.insert(2);
s.insert(5);
s.insert(3);
s.insert(3);
s.insert(3);
s.insert(5);
cout << "The set elements are: ";
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
// iterator pointing to
// position where 2 is
auto pos = s.find(3);
// prints the set elements
cout << "\nThe set elements after 3 are: ";
for (auto it = pos; it != s.end(); it++)
cout << *it << " ";
return 0;
}
Output:
The set elements are: 1 2 3 3 3 4 5 5
The set elements after 3 are: 3 3 3 4 5 5
Program 2:
CPP
// CPP program to demonstrate the
// multiset::find() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// Initialize multiset
multiset<char> s;
s.insert('a');
s.insert('a');
s.insert('a');
s.insert('b');
s.insert('c');
s.insert('a');
s.insert('a');
s.insert('c');
cout << "The set elements are: ";
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
// iterator pointing to
// position where 2 is
auto pos = s.find('b');
// prints the set elements
cout << "\nThe set elements after b are: ";
for (auto it = pos; it != s.end(); it++)
cout << *it << " ";
return 0;
}
Output:
The set elements are: a a a a a b c c
The set elements after b are: b c c
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-0.0106247105, -0.00733195757, -0.0334577225, -0.00724126725] |
10 Jul, 2022 | multiset cbegin() and cend() function in C++ STL
10 Jul, 2022
The multiset::cbegin() is a built-in function in C++ STL which returns a constant iterator pointing to the first element in the container. The iterator cannot be used to modify the elements in the set container. The iterators can be increased or decreased to traverse the set accordingly.
Syntax:
constant_iterator multiset_name.cbegin()
Parameters: The function does not accept any parameters.
Return value: The function returns a constant iterator pointing to the first element in the container.
Below programs illustrate the multiset::cbegin() method.
C++
// C++ program to demonstrate the
// multiset::cbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 14, 10, 15, 11, 10 };
// initializes the set from an array
multiset<int> s(arr, arr + 5);
// Prints the first element
cout << "The first elements is: " << *(s.cbegin()) << endl;
// prints all elements in set
for (auto it = s.cbegin(); it != s.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
The first elements is: 10
10 10 11 14 15
The multiset::cend() is a built-in function in C++ STL which returns a constant iterator pointing to the position past the last element in the container. The iterator cannot be used to modify the elements in the set container. The iterators can be increased or decreased to traverse in the set accordingly.
Syntax:
constant_iterator multiset_name.cend()
Parameters: The function does not accept any parameters.
Return value: The function returns a constant iterator pointing to the position past the last element in the container in the container.
Below programs illustrate the multiset::cend() method.
C++
// C++ program to demonstrate the
// multiset::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 14, 10, 15, 11, 10, 15, 17, 17 };
// initializes the set from an array
multiset<int> s(arr, arr + 8);
// prints all elements in set
for (auto it = s.cbegin(); it != s.cend(); it++)
cout << *it << " ";
return 0;
}
Output:
10 10 11 14 15 15 17 17
Let us see the differences in a tabular form -:
multiset cbegin()
multiset cend()
1.
It is used to return a const_iterator pointing to the first element in the container.
It is used to return a const_iterator pointing to the past-the-end element in the container.
2.
Its syntax is -:
const_iterator cbegin();
Its syntax is -:
const_iterator cend();
3.
It does not take any parameters
It does not take any parameters.
4.
Its complexity is constant.
Its complexity is constant.
5.
Its iterator validity does not changes.
Its iterator validity does not changes.
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unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ? | GeeksforGeeks | [0.00355471345, 0.0082285637, -0.011812387, 0.0274026692, -0.00516549358, -0.0380377, -0.0488021076, 0.00555363344, 0.00382964592, 0.000708759413, -0.039098613, 0.012905648, -0.0161466151, -0.00524312165, -0.00215902762, -0.0262511875, 0.0515708402, 0.018371949, 0.0197433773, -0.00466738082, -0.00751050469, -0.0234307051, 0.000779109774, -0.0144258616, 0.00105768093, 0.0113013368, -0.0390209854, -0.0151115758, -0.0106932512, -0.0203773379, 0.00828031544, 0.00391374296, 0.0144905522, 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12 Jun, 2023 | multimap::cbegin() and multimap::cend() in C++ STL
12 Jun, 2023
multimap::cbegin() is a built-in function in C++ STL which returns a constant iterator referring to the first element in the multimap container. Since multimap container contains the element in an ordered way, cbegin() will point to that element that will come first according to the container’s sorting criterion. Syntax:
multimap_name.cbegin()
Parameters: The function does not accept any parameter. Return Value: The function returns a constant iterator referring to the first element in the multimap container.
CPP
// C++ program to illustrate
// the multimap::cbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
auto ite = mp.cbegin();
cout << "The first element is: ";
cout << "{" << ite->first << ", "
<< ite->second << "}\n";
// prints the elements
cout << "\nThe multimap is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.cbegin(); itr != mp.cend(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output:
The first element is: {1, 40}
The multimap is :
KEY ELEMENT
1 40
2 30
3 60
4 20
5 50
multimap::cend() is a builtin function in C++ STL which returns a constant iterator pointing to the theoretical element that follows last element in the multimap. Since multimap container contains the element in an ordered way, cend() will point to that follows the last element according to the container’s sorting criterion. Syntax:
multimap_name.cend()
Parameters: The function does not accept any parameter. Return Value: The function returns a constant iterator pointing to the theoretical element that follows the last element in the multimap.
CPP
// C++ program to illustrate
// the multimap::cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
// print the elements
cout << "\nThe multimap is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.cbegin(); itr != mp.cend(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output:
The multimap is :
KEY ELEMENT
1 40
2 30
3 60
4 20
5 50
Let us see the differences in a tabular form -:
multimap::cbegin()
multimap::cend()
1.
It is used to return a const_iterator pointing to the first element in the container.
It is used to return a const_iterator pointing to the past-the-end element in the container.
2.
Its syntax is -:
const_iterator cbegin();
Its syntax is -:
const_iterator cend();
3.
It does not take any parameters.
It does not take any parameters.
4.
Its complexity is constant.
Its complexity is constant.
5.
Its iterator validity does not changes.
Its iterator validity does not changes.
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24 Jan, 2023 | multimap::begin() and multimap::end() in C++ STL
24 Jan, 2023
multimap::begin() is a built-in function in C++ STL that returns an iterator referring to the first element in the multimap container. Since the multimap container contains the element in an ordered way, begin() will point to that element that will come first according to the container’s sorting criterion.
Syntax:
multimap_name.begin()
Parameters: The function does not accept any parameter.
Return Value: The function returns an iterator referring to the first element in the multimap container
Simple Example
C++
#include <iostream>
#include <map>
int main()
{
// Create a multimap of integers to strings
std::multimap<int, std::string> mmap = {
{1, "one"},
{2, "two"},
{3, "three"},
{3, "three again"},
};
// Print the first and last elements of the multimap
std::cout << "First: " << mmap.begin()->second << std::endl;
std::cout << "Last: " << (--mmap.end())->second << std::endl;
return 0;
}
Output
First: one
Last: three again
CPP
// C++ function to illustrate
// the multimap::begin() function
#include& lt; bits / stdc++.h & gt;
using namespace std;
int main()
{
// initialize container
multimap& lt;
int, int& gt;
mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
auto ite = mp.begin();
cout& lt;
<
"
The first element is : "
;
cout& lt;
<
"
{
"
<
<
ite - >
first& lt;
<
"
, "
<
<
ite - >
second& lt;
<
"
}
\n& quot;
;
// prints the elements
cout& lt;
<
"
\nThe multimap is : \n& quot;
;
cout& lt;
<
"
KEY\tELEMENT\n& quot;
;
for (auto itr = mp.begin(); itr != mp.end(); ++itr) {
cout& lt;
<
itr - >
first& lt;
<
'\t' & lt;
<
itr - >
second& lt;
<
'\n';
}
return 0;
}
Output:
The first element is: {1, 40}
The multimap is :
KEY ELEMENT
1 40
2 30
3 60
4 20
5 50
multimap::end() is a built-in function in C++ STL that returns an iterator to the theoretical element that follows the last element in the multimap. Since the multimap container contains the element in an ordered way, end() will point to that theoretical position which follows the last element according to the container’s sorting criterion.
Syntax:
multimap_name.end()
Parameters: The function does not accept any parameter.
Return Value: The function returns an iterator referring to the first element in the multimap container
CPP
// C++ function to illustrate
// the multimap::end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
// prints the elements
cout << "\nThe multimap is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.begin(); itr != mp.end(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output:
The multimap is :
KEY ELEMENT
1 40
2 30
3 60
4 20
5 50
Let us see the differences in a tabular form as shown below as follows:
multimap::begin()
multimap::end()
It is used to return an iterator referring to the first element in the multimap container.
It is used to return an iterator referring to the past-the-end element in the multimap container.
Its syntax is -:
iterator begin();
Its syntax is -:
iterator end();
It does not take any parameters.
It does not take any parameters.
Its complexity is constant.
Its complexity is constant.
Its iterator validity does not change.
Its iterator validity does not change.
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24 Oct, 2024 | set::begin() and set::end() in C++ STL
24 Oct, 2024
In C++, std::set::begin() and std::set::end() are built-in functions used to retrieve set::iterators to the beginning and the end of the set container. Set uses bidirectional iterators, so the iterators returned by these functions support the dereferencing, increment, decrement, relational, and equality operations only.
They are the member functions of the std::set class defined inside <set> header file.
Example:
C++
// C++ Program to show the use of std::set::begin()
// std::set::end() methods
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {9, 11, 15, 56};
cout << *s.begin() << endl;
cout << *--s.end();
return 0;
}
Output9
56You may have noticed we have decremented the set::end() iterator before dereferencing. The reason for this is mentioned below:
set::begin() MethodThe std::set::begin() method is used to retrieve a set::iterator pointing to the first element of the std::set container.
Syntaxs.begin();
Parameters
This function does not take any parameters.Return Value
Returns an iterator pointing to the first element of the set container.If the set is empty, it returns an iterator equivalent to set::end().set::end() MethodThe std::set::end() is used to retrieve a std::iterator pointing to the theoretical element that is just after the last element of the std::set container. It does not point to the last element, but can by decrementing.
Syntaxs.end()
Parameters
This function does not take any parameter.Return value
Returns an iterator pointing to the theoretical element that is just after the last element of the set container.More Examples of set::begin() and set::end()Here we will learn how to implement set::begin() and set::end()
Example 1: Iterating a set using set::begin() and set::end()We can traverse the set by incrementing and dereferencing the set::begin() iterator till it is not equal to the set::end() iterator.
C++
// C++ program to iterate through a set using
// std::set::begin() and std::set::end()
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {9, 11, 15, 56};
// Printing all elements in the set
for (auto it = s.begin(); it != s.end(); ++it)
cout << *it << " ";
return 0;
}
Output9 11 15 56 Example 2: Finding Number of Elements in a Set
C++
// C++ program to iterate through a set using
// std::set::begin() and std::set::end()
#include <bits/stdc++.h>
using namespace std;
int main() {
set<int> s = {9, 11, 15, 56};
// Finding number of elements between
// set::begin() and set::end()
cout << distance(s.begin(), s.end());
return 0;
}
Output4Difference Between set::begin() and set::end() The following table lists some primary differences between the std::set::begin() and std::set::end() methods:
set::begin()set::end()Returns an iterator to the first element in the set container.Rturn an iterator to one element after the last element in the set container.Syntax: s.begin();
Syntax: s.end();
We can dereference set::begin() iterator, because it point to the valid element.
We should not dereference set::end() iterator, because it does not point to valid element.
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17 Jun, 2022 | unordered_multimap begin() and end() function in C++ STL
17 Jun, 2022
The unordered_multimap::begin() is a built-in function in C++ STL that returns an iterator pointing to the first element in the container or to the first element in one of its buckets.
Syntax:
unordered_multimap_name.begin(n)
Parameters: The function accepts one parameter. If a parameter is passed, it returns an iterator pointing to the first element in the bucket. If no parameter is passed, then it returns a constant iterator pointing to the first element in the unordered_multimap container.
Return Value: It returns an iterator. It cannot be used to change the value of the unordered_multimap element.
Below are programs that illustrate the above function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_multimap::begin() function
#include& lt; bits / stdc++.h & gt;
using namespace std;
int main()
{
// declaration
unordered_multimap& lt;
int, int& gt;
sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 3, 4 });
sample.insert({ 3, 4 });
sample.insert({ 2, 3 });
sample.insert({ 2, 3 });
// prints all element
cout& lt;
<
"
Key and Elements : \n& quot;
;
for (auto it = sample.begin(); it != sample.end(); it++)
cout& lt;
<
"
"
<
<
it - >
first& lt;
<
"
\t& quot;
<
<
it - >
second& lt;
<
endl;
auto it = sample.begin();
// print the first element
cout& lt;
<
"
\nThe first key and element : "
<
<
it - >
first& lt;
<
"
"
;
cout& lt;
<
it - >
second;
return 0;
}
Output:
Key and Elements:
2 3
2 3
1 2
3 4
3 4
The first key and element: 2 3
Program 2:
CPP
// C++ program to illustrate the
// unordered_multimap::begin(bucket) function
#include& lt; bits / stdc++.h & gt;
using namespace std;
int main()
{
// declaration
unordered_multimap& lt;
int, int& gt;
sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 3, 4 });
sample.insert({ 3, 4 });
sample.insert({ 2, 3 });
sample.insert({ 2, 3 });
// prints all element
cout& lt;
<
"
Key and Elements of first bucket : \n& quot;
;
for (auto it = sample.begin(1); it != sample.end(1);
it++)
cout& lt;
<
"
"
<
<
it - >
first& lt;
<
"
\t& quot;
<
<
it - >
second& lt;
<
endl;
auto it = sample.begin(1);
// print the first element
cout& lt;
<
"
\nThe first key and element in first bucket : "
<
<
it - >
first& lt;
<
"
"
;
cout& lt;
<
it - >
second;
return 0;
}
Output:
Key and Elements of first bucket:
1 2
The first key and element in first bucket: 1 2
The unordered_multimap::end() is a built-in function in C++ STL that returns an iterator pointing to the position after the last element in the container or to the position after the last element in one of its buckets.
Syntax:
unordered_multimap_name.end(n)
Parameters: The function accepts one parameter. If a parameter is passed, it returns an iterator pointing to the position after the last element in one of its bucket. If no parameter is passed, then it returns an iterator pointing to the position after the last element in the unordered_multimap container.
Return Value: It returns an iterator. It cannot be used to change the value of the unordered_multimap element.
Below are programs that illustrate the above function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_multimap::end() function
#include& lt; bits / stdc++.h & gt;
using namespace std;
int main()
{
// declaration
unordered_multimap& lt;
int, int& gt;
sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 3, 4 });
sample.insert({ 3, 4 });
sample.insert({ 2, 3 });
sample.insert({ 2, 3 });
// prints all element
cout& lt;
<
"
Key and Elements : \n& quot;
;
for (auto it = sample.begin(); it != sample.end(); it++)
cout& lt;
<
"
"
<
<
it - >
first& lt;
<
"
\t& quot;
<
<
it - >
second& lt;
<
endl;
return 0;
}
Output:
Key and Elements:
2 3
2 3
1 2
3 4
3 4
Program 2:
CPP
// C++ program to illustrate the
// unordered_multimap::end(bucket) function
#include& lt; bits / stdc++.h & gt;
using namespace std;
int main()
{
// declaration
unordered_multimap& lt;
int, int& gt;
sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 3, 4 });
sample.insert({ 3, 4 });
sample.insert({ 2, 3 });
sample.insert({ 2, 3 });
// prints all element
cout& lt;
<
"
Key and Elements of first bucket : \n& quot;
;
for (auto it = sample.begin(1); it != sample.end(1);
it++)
cout& lt;
<
"
"
<
<
it - >
first& lt;
<
"
\t& quot;
<
<
it - >
second& lt;
<
endl;
return 0;
}
Output:
Key and Elements of first bucket:
1 2
Let us see the differences in a tabular form as shown below as follows:
unordered_multimap::begin
unordered_multimap::end
1.
It is used to return an iterator pointing to the first element in the unordered_multimap container or in one of its buckets
It is used to return an iterator pointing to the past-the-end element in the unordered_multimap container or in one of its buckets.
2.
Its syntax is -:
iterator begin()
Its syntax is -:
iterator end()
3.
It takes one parameter which is the Bucket number.
It takes one parameter which is the Bucket number.
4.
Its complexity is constant.
Its complexity is constant.
5.
Its iterator validity does not change.
Its iterator validity does not change.
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08 Aug, 2018 | unordered_multimap empty() function in C++ STL
08 Aug, 2018
The unordered_multimap::empty() is a built-in function in C++ STL which returns a boolean value. It returns true if the unordered_multimap container is empty. Otherwise, it returns false.
Syntax:
unordered_multimap_name.empty()
Parameters: The function does not accept any parameter.
Return Value: It returns a boolean value which denotes whether a unordered_multimap is empty or not.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::empty() function
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 1, 2 });
sample.insert({ 1, 2 });
sample.insert({ 2, 3 });
sample.insert({ 3, 4 });
sample.insert({ 5, 6 });
// if not empty then print the elements
if (sample.empty() == false) {
cout << "Key and Elements: ";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "{" << it->first << ":" << it->second << "} ";
}
}
// container is erased completely
sample.clear();
if (sample.empty() == true)
cout << "\nContainer is empty";
return 0;
}
Output:
Key and Elements: {5:6} {3:4} {2:3} {1:2} {1:2}
Container is empty
Program 2:
// C++ program to illustrate the
// unordered_multimap::empty()
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'g', 'd' });
sample.insert({ 'r', 'e' });
sample.insert({ 'g', 'd' });
// if not empty then print the elements
if (sample.empty() == false) {
cout << "Key and elements: ";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "{" << it->first << ":" << it->second << "} ";
}
}
// container is erased completely
sample.clear();
if (sample.empty() == true)
cout << "\nContainer is empty";
return 0;
}
Output:
Key and elements: {r:e} {g:d} {g:d} {a:b} {a:b}
Container is empty
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23 Feb, 2023 | unordered_multimap find() function in C++ STL
23 Feb, 2023
The unordered_multimap::find() is a built-in function in C++ STL which returns an iterator which points to one of the elements which has the key k. If the container does not contain any element with key k, then it returns an iterator which points to the position which is past the last element in the container.
Syntax:
unordered_multimap_name.find(k)
Parameters: The function accepts a mandatory parameter k which specifies the key.
Return Value: It returns an iterator which points to the position where an element with key k is.
Below programs illustrate the above function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_multimap::find() function
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 1, 2 });
sample.insert({ 1, 2 });
sample.insert({ 2, 3 });
sample.insert({ 3, 4 });
sample.insert({ 2, 6 });
// find the element with key 1 and print
auto it = sample.find(1);
if (it != sample.end())
cout << 1 << ":" << it->second << endl;
else
cout << "element with key 1 not found\n";
// find the element with
// key 2 and print
it = sample.find(2);
if (it != sample.end())
cout << 2 << ":" << it->second << endl;
else
cout << "element with key 2 not found\n";
// find the element with
// key 100 and print
it = sample.find(100);
if (it != sample.end())
cout << 100 << ":" << it->second << endl;
else
cout << "element with key 100 not found\n";
return 0;
}
Output:
1:2
2:6
element with key 100 not found
Program 2:
CPP
// C++ program to illustrate the
// unordered_multimap::find()
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'd' });
sample.insert({ 'b', 'e' });
sample.insert({ 'b', 'd' });
// find the element with
// key r and print
auto it = sample.find('r');
if (it != sample.end())
cout << "r"
<< ":" << it->second << endl;
else
cout << "element with key or not found\n";
// find the element with
// key a and print
it = sample.find('a');
if (it != sample.end())
cout << 'a' << ":" << it->second << endl;
else
cout << "element with key a not found\n";
// find the element with
// key 'b' and print
it = sample.find('b');
if (it != sample.end())
cout << "b"
<< ":" << it->second << endl;
else
cout << "element with key b not found\n";
return 0;
}
Output:
element with key r not found
a:d
b:d
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08 Aug, 2018 | unordered_multimap equal_range() function in C++ STL
08 Aug, 2018
unordered_multimap::equal_range() is a built-in function in C++ STL which returns the range in which all the element’s key is equal to a key. It returns a pair of iterators where the first is an iterator pointing to the lower bound of the range and second is an iterator pointing to the upper bound of the range. If there is no element equal to a given value in the container, then it returns a pair where both lower and upper bound points to the position past the end of the container or unordered_multimap.end().
Syntax:
unordered_multimap_name.equal_range(k)
Parameters: The function accepts a mandatory parameter k. The range returned will have the elements with key k.
Return Value: It returns a pair of iterators.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::equal_range()
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 1, 2 });
sample.insert({ 1, 2 });
sample.insert({ 2, 3 });
sample.insert({ 3, 4 });
sample.insert({ 2, 6 });
// iterator of pairs pointing to range
// which includes 1 and print by iterating in range
auto itr = sample.equal_range(1);
cout << "Elements with Key 1: ";
for (auto it = itr.first; it != itr.second; it++) {
cout << it->second << " ";
}
cout << endl;
// iterator of pairs pointing to range
// which includes 2 and print by iterating in range
itr = sample.equal_range(2);
cout << "Elements with Key 2: ";
for (auto it = itr.first; it != itr.second; it++) {
cout << it->second << " ";
}
return 0;
}
Output:
Elements with Key 1: 2 2
Elements with Key 2: 6 3
Program 2:
// C++ program to illustrate the
// unordered_multimap::equal_range()
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts key and element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'd' });
sample.insert({ 'b', 'e' });
sample.insert({ 'b', 'd' });
// iterator of pairs pointing to range
// which includes b and print by iterating in range
auto itr = sample.equal_range('b');
cout << "Elements with Key b: ";
for (auto it = itr.first; it != itr.second; it++) {
cout << it->second << " ";
}
cout << endl;
// iterator of pairs pointing to range
// which includes a and print by iterating in range
itr = sample.equal_range('a');
cout << "Elements with Key a: ";
for (auto it = itr.first; it != itr.second; it++) {
cout << it->second << " ";
}
return 0;
}
Output:
Elements with Key b: d e
Elements with Key a: d b b
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08 Aug, 2018 | unordered_multimap bucket_count() function in C++ STL
08 Aug, 2018
The unordered_multimap::bucket_count() is a built-in function in C++ STL which returns the total number of buckets in the unordered_multimap container. A bucket is a slot in the container’s internal hash table to which elements are assigned based on their hash value.
Syntax:
unordered_multimap_name.bucket_count()
Parameters: The function does not accept any parameter.
Return Value: It returns an unsigned integral type which denotes the total count of buckets.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::bucket_count()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 10, 100 });
sample.insert({ 10, 100 });
sample.insert({ 20, 200 });
sample.insert({ 30, 300 });
sample.insert({ 15, 150 });
cout << "The total count of buckets: "
<< sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nBucket " << i << ": ";
// if bucket is empty
if (sample.bucket_size(i) == 0)
cout << "empty";
for (auto it = sample.cbegin(i);
it != sample.cend(i); it++)
cout << "{" << it->first << ", "
<< it->second << "}, ";
}
return 0;
}
Output:
The total count of buckets: 7
Bucket 0: empty
Bucket 1: {15, 150},
Bucket 2: {30, 300},
Bucket 3: {10, 100}, {10, 100},
Bucket 4: empty
Bucket 5: empty
Bucket 6: {20, 200},
Program 2:
// C++ program to illustrate the
// unordered_multimap::bucket_count()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts key and element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'b', 'c' });
sample.insert({ 'r', 'a' });
sample.insert({ 'c', 'b' });
cout << "The total count of buckets: "
<< sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nBucket " << i << ": ";
// if bucket is empty
if (sample.bucket_size(i) == 0)
cout << "empty";
for (auto it = sample.cbegin(i);
it != sample.cend(i); it++)
cout << "{" << it->first << ", "
<< it->second << "}, ";
}
return 0;
}
Output:
The total count of buckets: 7
Bucket 0: {b, c},
Bucket 1: {c, b},
Bucket 2: {r, a},
Bucket 3: empty
Bucket 4: empty
Bucket 5: empty
Bucket 6: {a, b}, {a, b},
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08 Aug, 2018 | unordered_multimap emplace() function in C++ STL
08 Aug, 2018
The unordered_multimap::emplace() is a built-in function in C++ STL which inserts a new {key, element} in the unordered_multimap container. The insertion is done automatically at the position according to the container’s criterion. It increases the size of the container by one.
Syntax:
unordered_multimap_name.emplace(key, element)
Parameters: The function accepts a single mandatory parameter key and element which is to be inserted in the container.
Return Value: It returns an iterator which points to the newly inserted element.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate
// unordered_multimap::emplace()
#include <iostream>
#include <string>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and elements
sample.emplace(1, 2);
sample.emplace(1, 2);
sample.emplace(1, 3);
sample.emplace(4, 9);
sample.emplace(60, 89);
cout << "Key and Elements: \n";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << "{" << it->first << ":" << it->second << "}\n ";
return 0;
}
Output:
Key and Elements:
{60:89}
{4:9}
{1:3}
{1:2}
{1:2}
Program 2:
// unordered_multimap::emplace
#include <iostream>
#include <string>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<string, string> sample;
// inserts key and elements
sample.emplace("gopal", "dave");
sample.emplace("gopal", "dave");
sample.emplace("Geeks", "C++");
sample.emplace("multimap", "functions");
sample.emplace("multimap", "functions");
cout << "Key and Elements: \n";
for (auto it = sample.begin(); it != sample.end(); it++)
cout << "{" << it->first << ":" << it->second << "}\n ";
return 0;
}
Output:
Key and Elements:
{multimap:functions}
{multimap:functions}
{Geeks:C++}
{gopal:dave}
{gopal:dave}
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28 Dec, 2022 | unordered_multimap count() function in C++ STL
28 Dec, 2022
The unordered_multimap::count() is a built-in function in C++ STL that returns the number of elements in the container whose key is equal to the key passed in the parameter. Syntax:
unordered_multimap_name.count(key)
Parameters: The function accepts a single mandatory parameter key that specifies the key whose count in the unordered_multimap container is to be returned. Return Value: It returns an unsigned integral type which denotes the number of times a key occurs in the container.
Time Complexity: O(N)
Below programs illustrates the above function: Program 1:
CPP
// C++ program to illustrate the
// unordered_multimap::count()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 10, 100 });
sample.insert({ 10, 100 });
sample.insert({ 20, 200 });
sample.insert({ 30, 300 });
sample.insert({ 30, 150 });
cout << "10 occurs " << sample.count(10)
<< " times";
cout << "\n20 occurs " << sample.count(20)
<< " times";
cout << "\n13 occurs " << sample.count(13)
<< " times";
cout << "\n30 occurs " << sample.count(30)
<< " times";
return 0;
}
Output:
10 occurs 2 times
20 occurs 1 times
13 occurs 0 times
30 occurs 2 times
Program 2:
CPP
// C++ program to illustrate the
// unordered_multimap::count()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts key and element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'b', 'c' });
sample.insert({ 'r', 'a' });
sample.insert({ 'r', 'b' });
cout << "a occurs " << sample.count('a')
<< " times";
cout << "\nb occurs " << sample.count('b')
<< " times";
cout << "\nz occurs " << sample.count('z')
<< " times";
cout << "\nr occurs " << sample.count('r')
<< " times";
return 0;
}
Output:
a occurs 2 times
b occurs 1 times
z occurs 0 times
r occurs 2 times
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08 Aug, 2018 | unordered_multimap clear() function in C++ STL
08 Aug, 2018
The unordered_multimap::clear() is a built-in function in C++ STL which clears the contents of the unordered_multimap container. The final size of the container after the call of the function is 0.
Syntax:
unordered_multimap_name.clear()
Parameters: The function does not accept any parameter.
Return Value: It returns nothing.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::clear()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key an delement
sample.insert({ 10, 100 });
sample.insert({ 10, 100 });
sample.insert({ 20, 200 });
sample.insert({ 30, 300 });
sample.insert({ 15, 150 });
cout << "Key and Elements of multimap are:";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "\n{" << it->first << ", " << it->second << "}";
}
sample.clear();
cout << "\nSize of container after function call: "
<< sample.size();
return 0;
}
Output:
Key and Elements of multimap are:
{15, 150}
{30, 300}
{20, 200}
{10, 100}
{10, 100}
Size of container after function call: 0
Program 2:
// C++ program to illustrate the
// unordered_multimap::clear()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'b', 'c' });
sample.insert({ 'r', 'a' });
sample.insert({ 'c', 'b' });
cout << "Key and Elements of multimap are:";
for (auto it = sample.begin(); it != sample.end(); it++) {
cout << "\n{" << it->first << ", " << it->second << "}";
}
sample.clear();
cout << "\nSize of container after function call: "
<< sample.size();
return 0;
}
Output:
Key and Elements of multimap are:
{c, b}
{r, a}
{b, c}
{a, b}
{a, b}
Size of container after function call: 0
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08 Aug, 2018 | unordered_multimap bucket_size() function in C++ STL
08 Aug, 2018
The unordered_multimap::bucket_size() is a built-in function in C++ STL which returns the number of elements in the bucket n.
Syntax:
unordered_multimap_name.bucket_size(n)
Parameters: The function accepts a parameter n which specifies the bucket number whose count is to be returned.
Return Value: It returns an unsigned integral type which denotes the number of elements in the bucket with bucket number n.
Below programs illustrate the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::bucket_size()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts element
sample.insert({ 10, 100 });
sample.insert({ 10, 100 });
sample.insert({ 20, 200 });
sample.insert({ 30, 300 });
sample.insert({ 15, 150 });
cout << "The total count of buckets: "
<< sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nNumber of elements in Bucket " << i
<< " = " << sample.bucket_size(i);
}
return 0;
}
Output:
The total count of buckets: 7
Number of elements in Bucket 0 = 0
Number of elements in Bucket 1 = 1
Number of elements in Bucket 2 = 1
Number of elements in Bucket 3 = 2
Number of elements in Bucket 4 = 0
Number of elements in Bucket 5 = 0
Number of elements in Bucket 6 = 1
Program 2:
// C++ program to illustrate the
// unordered_multimap::bucket_size()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'b', 'c' });
sample.insert({ 'r', 'a' });
sample.insert({ 'c', 'b' });
cout << "The total count of buckets: "
<< sample.bucket_count();
// prints all element bucket wise
for (int i = 0; i < sample.bucket_count(); i++) {
cout << "\nNumber of elements in Bucket " << i
<< " = " << sample.bucket_size(i);
}
return 0;
}
Output:
The total count of buckets: 7
Number of elements in Bucket 0 = 1
Number of elements in Bucket 1 = 1
Number of elements in Bucket 2 = 1
Number of elements in Bucket 3 = 0
Number of elements in Bucket 4 = 0
Number of elements in Bucket 5 = 0
Number of elements in Bucket 6 = 2
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20 Jun, 2021 | unordered_multimap operator= in C++
20 Jun, 2021
The unordered_multimap::operator= is a built-in function in C++ STL which does three types of tasks which are explained below.
Syntax (copying elements from different container) :
unordered_multimap_name1 operator= (unordered_multimap_name2)
Parameters: The function does not accepts any parameter. The container to the right is the one from which the elements are to be copied to the container in the left. Return Value: It does not return anything. Below program illustrates the above function:
CPP
// C++ program to illustrate the
// unordered_multimap::operator=
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample1, sample2;
// inserts key and element
// in sample1
sample1.insert({ 10, 100 });
sample1.insert({ 50, 500 });
cout << "Key and Elements of Sample1 before copy are:";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
cout << "\nThe size of sample2 before copy: "
<< sample2.size();
// operator= to copy
sample2 = sample1;
cout << "\nKey and Elements of Sample2 after copy are: ";
for (auto it = sample2.begin(); it != sample2.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
Key and Elements of Sample1 before copy are:{50, 500} {10, 100}
The size of sample2 before copy: 0
Key and Elements of Sample2 after copy are: {50, 500} {10, 100}
Syntax (For moving elements from different container):
unordered_multimap_name1 operator= (unordered_multimap_name2)
Parameters: The function does not accepts any parameter. The container to the right is the one from which the elements are to be moved to the container in the left. The elements in the right container are destroyed after operator= is used. Return Value: It does not return anything. Below program illustrates the above function:
CPP
// C++ program to illustrate the
// unordered_multimap::operator=
#include <bits/stdc++.h>
using namespace std;
// Function to merge two lists
unordered_multimap<char, char> merge(unordered_multimap<char, char> a,
unordered_multimap<char, char> b)
{
unordered_multimap<char, char> temp(a);
temp.insert(b.begin(), b.end());
return temp;
}
int main()
{
// declaration
unordered_multimap<char, char> sample1, sample2, sample3;
// inserts key and element
// in sample1
sample1.insert({ 'a', 'A' });
sample1.insert({ 'g', 'G' });
// inserts key and element
// in sample1
sample2.insert({ 'b', 'B' });
sample2.insert({ 'c', 'C' });
sample2.insert({ 'd', 'D' });
cout << "Key and Elements of Sample1 are: ";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
cout << "\nKey and Elements of Sample2 are: ";
for (auto it = sample2.begin(); it != sample2.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
// merging and moved
sample3 = merge(sample1, sample2);
sample1 = sample3;
cout << "\n\nKey and Elements of Sample1 are: ";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
Key and Elements of Sample1 are: {g, G} {a, A}
Key and Elements of Sample2 are: {d, D} {b, B} {c, C}
Key and Elements of Sample1 are: {c, C} {b, B} {d, D} {a, A} {g, G}
Syntax (For assigning the elements from different list):
unordered_multimap_name1 operator= (intitializer_list il)
Parameters: It does not accepts any parameter, it has the list to the right which will be assigned to the container. Return Value: It does not returns anything. Below program illustrates the above function:
CPP
// C++ program to illustrate the
// unordered_multimap::operator=
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration by using operator=
unordered_multimap<int, int> sample1 = { { 1, 2 }, { 3, 4 }, { 5, 6 } };
cout << "Key and Elements of Sample1 are: ";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
// declaration by using operator=
unordered_multimap<char, char> sample2 = { { 'a', 'A' }, { 'b', 'B' }, { 'c', 'C' } };
cout << "\n\nKey and Elements of Sample1 are: ";
for (auto it = sample2.begin(); it != sample2.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
Key and Elements of Sample1 are: {5, 6} {3, 4} {1, 2}
Key and Elements of Sample1 are: {c, C} {b, B} {a, A}
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14 Dec, 2018 | unordered_multimap operator= in C++ STL
14 Dec, 2018
The ‘=’ is an operator in C++ STL which copies (or moves) an unordered_multimap to another unordered_multimap and unordered_multimap::operator= is the corresponding operator function. There are three versions of this function.
The first version takes reference of an unordered_multimap as an argument and copies it to an unordered_multimap.
The second version performs a move assignment i.e it moves the content of an unordered_multimap to another unordered_multimap.
The third version assigns contents of an initializer list to an unordered_multimap.
Syntax:
umm.operator= ( unordered_multimap& umm )
umm.operator= ( unordered_multimap&& umm )
umm.operator= ( initializer list )
Parameters:
The first version takes the reference of an unordered_multimap as argument.
The second version takes the r-value reference of an unordered_multimap as argument.
The third version takes an initializer list as argument.
Return value: All of them returns the value of this pointer(*this).
Below program illustrates the unordered_multimap::operator= in C++.
Example
// C++ code to illustrate the method
// unordered_multimap::operator=()
#include <bits/stdc++.h>
using namespace std;
// merge function
template <class T>
T merge(T a, T b)
{
T t(a);
t.insert(b.begin(), b.end());
return t;
}
int main()
{
unordered_multimap<int, int> sample1, sample2, sample3;
// List initialization
sample1 = { { 1, 2 }, { 3, 4 }, { 5, 6 } };
sample2 = { { 7, 8 }, { 9, 10 }, { 11, 12 } };
// Merge both lists
sample3 = merge(sample1, sample2);
// copy assignment
sample1 = sample3;
// Print the unordered_multimap list
for (auto& it : sample1)
cout << it.first << " : " << it.second << endl;
cout << endl;
for (auto& it : sample2)
cout << it.first << " : " << it.second << endl;
cout << endl;
for (auto& it : sample3)
cout << it.first << " : " << it.second << endl;
return 0;
}
Output:
7 : 8
9 : 10
11 : 12
1 : 2
3 : 4
5 : 6
11 : 12
9 : 10
7 : 8
7 : 8
9 : 10
11 : 12
1 : 2
3 : 4
5 : 6
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08 Aug, 2018 | unordered_multimap load_factor() function in C++ STL
08 Aug, 2018
The unordered_multimap::load_factor() is a built-in function in C++ STL which returns returns the current load factor in the unordered_multimap container. The load factor is the ratio between the number of elements in the container (its size) and the number of buckets (bucket_count):
load_factor = size / bucket_count
The load factor influences the probability of collision in the hash table (i.e., the probability of two elements being located in the same bucket). The container automatically increases the number of buckets to keep the load factor below a specific threshold (its max_load_factor), by causing a rehash each time when an expansion is needed.
Syntax:
unordered_multimap_name.load_factor()
Parameter: The function does not accept any parameter.
Return Value: The function returns the current load factor. It can be of integer or double type.
Below programs illustrate the unordered_multimap::load_factor() function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::load_factor() function
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 1, 3 });
sample.insert({ 2, 4 });
sample.insert({ 5, 8 });
sample.insert({ 7, 10 });
cout << "The size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 1, 1 });
sample.insert({ 9, 0 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 1, 1 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
return 0;
}
Output:
The size is: 5
The bucket_count is: 7
The load_factor is: 0.714286
The size is: 7
The bucket_count is: 17
The load_factor is: 0.411765
The size is: 8
The bucket_count is: 17
The load_factor is: 0.470588
Program 2:
// C++ program to illustrate the
// unordered_multimap::load_factor()
#include <iostream>
#include <unordered_map>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'd' });
sample.insert({ 'b', 'e' });
sample.insert({ 'b', 'd' });
cout << "The size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 'b', 'k' });
sample.insert({ 'b', 'h' });
cout << "\n\nThe size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 'z', 'j' });
cout << "\n\nThe size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
return 0;
}
Output:
The size is: 5
The bucket_count is: 7
The load_factor is: 0.714286
The size is: 7
The bucket_count is: 17
The load_factor is: 0.411765
The size is: 8
The bucket_count is: 17
The load_factor is: 0.470588
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14 Dec, 2018 | unordered_map load_factor in C++ STL
14 Dec, 2018
The unordered_map::load_factor() is a built-in function in C++ STL which returns the current load factor in the unordered_map container. The load factor is the ratio between the number of elements in the container (its size) and the number of buckets (bucket_count):
load_factor = size / bucket_count
The load factor influences the probability of collision in the hash table (i.e., the probability of two elements being located in the same bucket). The container automatically increases the number of buckets to keep the load factor below a specific threshold (its max_load_factor), by causing a rehash each time when an expansion is needed.
Syntax:
unordered_map_name.load_factor()
Parameter: The function does not accept any parameter.
Return Value: The function returns the current load factor.
Example-1:
// C++ program to illustrate the
// unordered_map::load_factor() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<int, int> sample;
// inserts element
sample.insert({ 1, 2 });
sample.insert({ 2, 4 });
sample.insert({ 5, 8 });
sample.insert({ 7, 10 });
cout << "The size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 9, 0 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 11, 1 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
return 0;
}
Output:
The size is: 4
The bucket_count is: 7
The load_factor is: 0.571429
The size is: 5
The bucket_count is: 7
The load_factor is: 0.714286
The size is: 6
The bucket_count is: 7
The load_factor is: 0.857143
Example-2:
// C++ program to illustrate the
// unordered_map::load_factor() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<char, int> sample;
// inserts element
sample.insert({ 'a', 2 });
sample.insert({ 'b', 4 });
sample.insert({ 'c', 8 });
sample.insert({ 'd', 10 });
cout << "The size is: " << sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 'e', 0 });
sample.insert({ 'h', 5 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
sample.insert({ 'f', 1 });
cout << "\n\nThe size is: "
<< sample.size();
cout << "\nThe bucket_count is: "
<< sample.bucket_count();
cout << "\nThe load_factor is: "
<< sample.load_factor();
return 0;
}
Output:
The size is: 4
The bucket_count is: 7
The load_factor is: 0.571429
The size is: 6
The bucket_count is: 7
The load_factor is: 0.857143
The size is: 7
The bucket_count is: 17
The load_factor is: 0.411765
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height Property, jQWidgets jqxSwitchButton onLabel Property, unordered_multiset bucket_size() function in C++ STL, unordered_set cbegin() function in C++ STL, jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, jQWidgets jqxToolBar tools Property, multimap empty() function in C++ STL, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, jQWidgets jqxTree width Property, multimap::swap() in C++ STL, unordered_multimap bucket_size() function in C++ STL, multimap equal_range() in C++ STL, Implementation of lower_bound() and upper_bound() in List of Pairs in C++, jQWidgets jqxTree clear() Method, TLS Handshake?, multiset rbegin() and rend() function in C++ STL, unordered_multimap operator= in C++, Algorithm for Dynamic Time out timer Calculation, Adhoc TCP, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, unordered_multimap begin() and end() function in C++ STL, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, multimap::begin() and multimap::end() in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0321003236, 0.000291291857, -0.0039702, 0.0263290387, 0.0255864598, -0.0205317, -0.00108862959, 0.0262769293, -0.0192940664, 0.0150600541, -0.0307975505, 0.0303024966, -0.0158286896, 0.0169099923, 0.0206880327, -0.0342889801, -0.0169621035, -0.0124479951, -0.01095632, -0.00688515464, -0.0088914251, 0.00317062344, -0.0433041714, 0.00125229044, 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14 Dec, 2018 | unordered_map operator= in C++ STL
14 Dec, 2018
The ‘=’ is an operator in C++ STL which copies (or moves) an unordered_map to another unordered_map and unordered_map::operator= is the corresponding operator function. There are three versions of this function.
The first version takes reference of an unordered_map as an argument and copies it to an unordered_map.
The second version performs a move assignment i.e it moves the content of an unordered_map to another unordered_map.
The third version assigns contents of an initializer list to an unordered_map.
Syntax
ump.operator= ( unordered_map& ump )
ump.operator= ( unordered_map&& ump )
ump.operator= ( initializer list )
Parameters:
The first version takes the reference of an unordered_map as argument.
The second version takes the r-value reference of an unordered_map as argument.
The third version takes an initializer list as argument.
Return value: All of them returns the value of this pointer(*this).
Below program illustrates the unordered_map::operator= in C++.
Example
// C++ code to illustrate the method
// unordered_map::operator=()
#include <bits/stdc++.h>
using namespace std;
// merge function
template <class T>
T merge(T a, T b)
{
T t(a);
t.insert(b.begin(), b.end());
return t;
}
int main()
{
unordered_map<int, int> sample1, sample2, sample3;
// List initialization
sample1 = { { 1, 2 }, { 3, 4 }, { 5, 6 } };
sample2 = { { 7, 8 }, { 9, 10 }, { 11, 12 } };
// Merge both lists
sample3 = merge(sample1, sample2);
// copy assignment
sample1 = sample3;
// Print the unordered_map list
for (auto& it : sample1)
cout << it.first << " : " << it.second << endl;
for (auto& it : sample2)
cout << it.first << " : " << it.second << endl;
for (auto& it : sample3)
cout << it.first << " : " << it.second << endl;
return 0;
}
Output:
7 : 8
9 : 10
11 : 12
1 : 2
3 : 4
5 : 6
11 : 12
9 : 10
7 : 8
7 : 8
9 : 10
11 : 12
1 : 2
3 : 4
5 : 6
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14 Dec, 2018 | unordered_map swap in C++ STL
14 Dec, 2018
The std::unordered_map::swap() is a built in function in C++ STL which swaps the elements of a container to an other container. After the call of this function elements of the caller unordered_map will be elements of called unordered_map while elements of called unordered_map will be elements of caller unordered_map.
Internally swapping of elements is not done only reference type of both unordered_map is changed.
Syntax
unordered_map.swap ( unordered_map& ump )
Return type : Return type of this function is void.
Parameters : An other unordered_map with same type of elements.
Complexity : Its complexity is constant.
Example 1
// C++ code to illustrate the method
// unordered_map swap
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> sample1, sample2;
// Map initialization
sample1 = { { 2, 2 }, { 3, 4 }, { 4, 6 }, { 5, 8 } };
sample2 = { { 10, 11 }, { 12, 13 }, { 14, 15 }, { 26, 17 } };
// printing details before calling swap
cout << " Elements of maps before swap \n";
cout << " Elements of first map are : \n";
for (auto& x : sample1)
cout << x.first << " : " << x.second << endl;
cout << " Elements of second map are : \n";
for (auto& x : sample2)
cout << x.first << " : " << x.second << endl;
// swapping
sample1.swap(sample2);
cout << " Elements of maps after swap \n";
cout << " Elements of first map are : \n";
for (auto& x : sample1)
cout << x.first << " : " << x.second << endl;
cout << " Elements of second map are : \n";
for (auto& x : sample2)
cout << x.first << " : " << x.second << endl;
return 0;
}
Output:
Elements of maps before swap
Elements of first map are :
5 : 8
4 : 6
3 : 4
2 : 2
Elements of second map are :
14 : 15
26 : 17
12 : 13
10 : 11
Elements of maps after swap
Elements of first map are :
14 : 15
26 : 17
12 : 13
10 : 11
Elements of second map are :
5 : 8
4 : 6
3 : 4
2 : 2
Example 2
// C++ code to illustrate the method
// unordered_map swap
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<char, int> sample1, sample2;
// Map initialization
sample1 = { { 'a', 2 }, { 'b', 4 }, { 'c', 6 }, { 'd', 8 } };
sample2 = { { 'e', 11 }, { 'f', 13 }, { 'h', 15 } };
// printing details before calling swap
cout << " Elements of maps before swap \n";
cout << " Elements of first map are : \n";
for (auto& x : sample1)
cout << x.first << " : " << x.second << endl;
cout << " Elements of second map are : \n";
for (auto& x : sample2)
cout << x.first << " : " << x.second << endl;
// swapping
sample1.swap(sample2);
cout << " Elements of maps after swap \n";
cout << " Elements of first map are : \n";
for (auto& x : sample1)
cout << x.first << " : " << x.second << endl;
cout << " Elements of second map are : \n";
for (auto& x : sample2)
cout << x.first << " : " << x.second << endl;
return 0;
}
Output:
Elements of maps before swap
Elements of first map are :
d : 8
c : 6
b : 4
a : 2
Elements of second map are :
h : 15
f : 13
e : 11
Elements of maps after swap
Elements of first map are :
h : 15
f : 13
e : 11
Elements of second map are :
d : 8
c : 6
b : 4
a : 2
Note : Caller and called unordered_map both should contain same type of elements otherwise we will get compile time error.
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18 May, 2022 | unordered_map rehash in C++ STL
18 May, 2022
The std::unordered_map::rehash() is a built in function C++ STL which sets the number of buckets in container to n or more. Syntax
void rehash( size_type s );
If s is greater than the current buckets into the container then rehashed is done. The new bucket count can be greater than or equal to n.
If s is less than current bucket count then there may or may not be any effect of function. It totally depends upon compiler
Parameters : It takes New number of buckets into the container. Return type : Its return type is none.
Example-1:
CPP
// C++ code to illustrate the method
// unordered_map rehash
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<char, int> sample;
// Map initialization
sample = { { 'a', 2 }, { 'b', 4 }, { 'c', 6 } };
cout << " Size of container : " << sample.size() << endl;
cout << " Initial bucket count : " << sample.bucket_count() << endl;
// changing rehash
sample.rehash(30);
cout << " Size of container : " << sample.size() << endl;
cout << " Now bucket count is : " << sample.bucket_count() << endl;
return 0;
}
Output:
Size of container : 3
Initial bucket count : 5
Size of container : 3
Now bucket count is : 31
Example-2:
CPP
// C++ code to illustrate the method
// unordered_map rehash
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> sample;
// Map initialization
sample = { { 2, 2 }, { 3, 4 }, { 4, 6 }, { 5, 8 } };
cout << " Size of container : " << sample.size() << endl;
cout << " Initial bucket count : " << sample.bucket_count() << endl;
// changing rehash
sample.rehash(20);
cout << " Size of container : " << sample.size() << endl;
cout << " Now bucket count is : " << sample.bucket_count() << endl;
return 0;
}
Output:
Size of container : 4
Initial bucket count : 7
Size of container : 4
Now bucket count is : 23
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18 Sep, 2024 | unordered_map max_size in C++ STL
18 Sep, 2024
The
unordered_map::max_size
is a built in function in C++ STL. It returns maximum number of elements which unordered_map can hold. Maximum number of elements in any container depends upon system and library implementation.
Syntax
size unordered_map.max_size() Parameters:
It does not accept any parameters.
Return type:
Unsigned integer a container can hold maximum elements.
Example 1
CPP
// C++ program to illustrate the
// unordered_map::max_size function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<int, int> sample;
cout << " Current size is : " << sample.size() << endl;
cout << " max size is : " << sample.max_size() << endl;
// insert elements
sample.insert({ 1, 10 });
sample.insert({ 2, 10 });
sample.insert({ 3, 10 });
sample.insert({ 4, 10 });
cout << " Current size is : " << sample.size() << endl;
cout << " max size is : " << sample.max_size() << endl;
return 0;
}
OutputCurrent size is : 0
max size is : 1152921504606846975
Current size is : 4
max size is : 1152921504606846975
Example 2
CPP
// C++ program to illustrate the
// unordered_map::max_size function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<char, int> sample;
cout << " Current size is : " << sample.size() << endl;
cout << " max size is : " << sample.max_size() << endl;
// insert elements
sample.insert({ 'a', 10 });
sample.insert({ 'b', 10 });
sample.insert({ 'c', 10 });
cout << " Current size is : " << sample.size() << endl;
cout << " max size is : " << sample.max_size() << endl;
return 0;
}
OutputCurrent size is : 0
max size is : 1152921504606846975
Current size is : 3
max size is : 1152921504606846975
Complexity :
Its complexity is constant.
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23 Jul, 2018 | forward_list max_size() in C++ STL with Examples
23 Jul, 2018
The forward_list::max_size() is a built-in function in C++ STL which returns the maximum number of elements a forward_list container can hold
Syntax:
forward_list_name.max_size()
Parameters: The function does not accept any parameters.
Return Value: The function returns the maximum number of elements the container can hold.
Below programs illustrate the above function:
Program 1:
// CPP program to demonstrate the
// forward_list::max_size() function
// when the list is not-empty
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of forward list
forward_list<int> fl;
// assign value
fl.assign(5, 8);
// prints the elements
cout << "The forward_list elements: ";
for (auto it = fl.begin(); it != fl.end(); it++)
cout << *it << " ";
cout << "\nThe max size: " << fl.max_size();
return 0;
}
Output:
The forward_list elements: 8 8 8 8 8
The max size: 1152921504606846975
Program 1:
// CPP program to demonstrate the
// forward_list::max_size() function
// when the list is empty
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of forward list
forward_list<int> fl;
cout << "\nThe max size: " << fl.max_size();
return 0;
}
Output:
The max size: 1152921504606846975
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27 Jun, 2023 | list max_size() function in C++ STL
27 Jun, 2023
The list::max_size() is a built-in function in C++ STL which returns the maximum number of elements a list container can hold.
Syntax:
list_name.max_size()
Parameters: This function does not accept any parameters.
Return Value: This function returns the maximum number of elements a list container can hold.
Below program illustrate the list::max_size() function in C++ STL:
CPP
// CPP program to illustrate the
// list::max_size() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// Creating a list
list<int> demoList;
// checking the max size of the list
cout << demoList.max_size();
return 0;
}
Output
768614336404564650
Time Complexity: O(1)Auxiliary Space: O(1)
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