Mochajs

Mocha is a feature-rich JavaScript test framework running on Node.js and in the browser, making asynchronous testing simple and fun. Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases.

Some of the features of mocha are as follow:

  • simple async support, including promises.
    async test timeout support.
    before, after, before each, after each hooks (very useful to clean the environment where each test!).
    test coverage reporting.

1)Installing mocha with npm globally in terminal

npm install –global mocha

2)Making directory

mkdir test

3)Knowing version of mocha

which mocha

4)Creating package.json file

“scripts”: {
“test”: “mocha”
}

5)Run test with;

npm test

6)Creating addition.js file in test folder

‘use strict’;

var assert=require(“assert”);
describe(‘addition’, function () {
it(‘should add 5+6 correctly’, function (done) {

var a = 5 + 6;
assert(a===11);
done();
});
});

7)Running addition.js in terminal

mocha test/addition.js //test folder

8)Using reporter in browser

npm install –save-dev mochawesome
mocha test/addition.js –reporter mochawesome

9)Using different reporter

mocha test/addition.js –reporter progress
mocha test/addition.js –reporter nyan


Posted

in

by

Tags:

Recent Post

  • A Comprehensive Guide to Sentiment Analysis Using NLP

    Businesses need to understand public interests, attitudes, behavior, and trigger points in today’s dynamic and competitive market. This enables them to efficiently serve their customers, grab opportunities, grow, and develop resilience in the face of a constantly shifting market. Many businesses find it challenging to process vast amounts of text-based data in order to get […]

  • How AI Is Revolutionizing Banking: Transforming Customer Experiences and Enhancing Financial Security

    Banking is a huge industry with a global Banking market likely to achieve a Net Interest Income of USD 10.34 trillion, with Traditional Banks holding a huge stake of USD 8.30 trillion. According to Statista’s projections suggest an annual growth rate of 4.82% (CAGR 2024-2028), culminating in a market volume of USD12.48 trillion by 2028. […]

  • Mastering Hyperparameter Tuning in Python: Strategies, Techniques, and Tools for Model Optimization

    Understanding various aspects of deep learning and machine learning can often feel like stepping into uncharted territory with no clue where to go. As you start exploring various algorithms and data, you realize that success is based on more than just building a raw model, it’s more about fine-tuning it to perfection. And when we […]

  • What is Transfer Learning? Exploring The Popular Deep Learning Approach

    Have you ever thought about how quickly your smartphone recognizes faces in photos or suggests text as you type? Behind these features, there’s a remarkable technique called Transfer Learning that expands the capabilities of Artificial Intelligence. Now you must be wondering- What is Transfer Learning ? Picture this: Instead of starting from the square from […]

  • LLMOps Essentials: A Practical Guide To Operationalizing Large Language Models

    When you engage with ChatGPT or any other Generative AI tool, you just type and enter your query and Tada!! You get your answer in seconds. Ever wondered how it happens and how it is so quick? Let’s peel back the curtain of the LLMs a bit. What actually happens behind the screen is a […]

  • Building Intelligent AI Models For Enterprise Success: Insider Strategies 

    Just picture a world where machines think and learn like us. It might sound like a scene straight out of a sci-fi movie, right? Well, guess what? We are already living in that world now. Today, data, clever algorithms, and AI models are changing the way businesses operate. AI models are serving as a brilliant […]

Click to Copy