Introduction In this chapter, we will explore JUnit test suites. A test suite is a collection of test classes and test methods that can be run together. Test suites help organize and manage related tests, making it easier to run multiple tests and get an overview of the test results. In JUnit 5, test suites …
Introduction In this chapter, we will explore exception testing in JUnit. Exception testing is used to verify that a piece of code throws a specific exception under certain conditions. JUnit provides the assertThrows method to facilitate this type of testing. What is Exception Testing? Exception testing checks whether a particular block of code throws a …
Introduction In this chapter, we will explore JUnit assertions. Assertions are methods used in tests to check if the actual output of the code matches the expected output. JUnit provides a variety of assertion methods to validate test outcomes. Understanding and using these assertions effectively is crucial for writing robust and reliable tests. What are …
Introduction In this chapter, we will explore the lifecycle annotations in JUnit using a Calculator example. Lifecycle annotations allow you to set up and tear down resources before and after your tests. This helps ensure that your tests run in a clean environment and that any necessary cleanup is performed automatically. Key Lifecycle Annotations JUnit …
Introduction In this chapter, we will explore the @Test annotation in JUnit. The @Test annotation is the cornerstone of JUnit testing, as it marks a method as a test method. We will discuss its usage, benefits, and provide examples to help you understand how to use it effectively. What is the @Test Annotation? The @Test …
JUnit is a popular Java testing framework that helps developers write and run repeatable tests. It provides annotations and assertions to simplify testing and ensure that the code behaves as expected. This guide will walk you through the steps to set up a JUnit test, from creating a project to running your tests. Step 1: …
JUnit 5 is designed with a modular architecture to provide a flexible and extensible testing framework. It consists of three main modules: JUnit Platform, JUnit Jupiter, and JUnit Vintage. Note: This architecture is as per JUnit 5, which supports backward compatibility with JUnit 3 and JUnit 4 through the JUnit Vintage module. JUnit Architecture Diagram …
Introduction In this chapter, we will guide you through writing your first JUnit test step by step. We will create a simple Java class, write a test for it, and run the test to ensure everything is working correctly. Let’s first take a look into some basic concepts related to JUnit tests. Basic Concepts 1. …
In this chapter, we will guide you through setting up your environment for using JUnit. We will cover the steps to install JUnit, integrate it with your development environment, and create a simple JUnit test to verify that everything is set up correctly. Installing JUnit JUnit can be added to your project as a dependency. …
Introduction In this chapter, we will introduce the JUnit, a popular framework for testing Java applications. JUnit helps developers create and run tests to ensure their code works as expected. Testing code is an important part of software development because it helps catch errors early and makes the code more reliable. What is Unit Testing? …
The statistics module in Python provides functions for calculating mathematical statistics of numeric data. These functions are useful for analyzing data and performing statistical calculations with ease. Below is a list of some commonly used functions in the statistics module, along with their descriptions and links to detailed guides for each function. For a complete …
The base64 module in Python provides functions for encoding and decoding data using the Base64 encoding scheme. This encoding is used to represent binary data in an ASCII string format. It is commonly used in various applications, including email via MIME and storing complex data in XML or JSON. Below is a list of some …
The requests module in Python is a powerful and easy-to-use library for making HTTP requests. It simplifies the process of sending HTTP requests and handling responses, making it a popular choice for web scraping, API interactions, and more. Below is a list of some commonly used functions and classes in the requests module, along with …
The operator module in Python provides a set of efficient functions corresponding to the intrinsic operators of Python. These functions are useful for simplifying and improving the readability of your code, especially when working with higher-order functions such as map(), filter(), and reduce(). Below is a list of some commonly used functions in the operator …
The cmath module in Python provides functions for complex number mathematics. These functions are useful for performing mathematical operations on complex numbers. Below is a list of some commonly used functions in the cmath module, along with their descriptions and links to detailed guides for each function. For a complete tutorial, visit Python cmath Module …
The enum module in Python provides a way to define enumerations, which are a set of symbolic names bound to unique, constant values. Enumerations can help make code more readable and maintainable. Below is a list of some commonly used classes and functions in the enum module, along with their descriptions and links to detailed …
The threading module in Python provides a way to create and manage threads, allowing for concurrent execution of code. This can be useful for improving the performance of programs that perform multiple tasks simultaneously. Below is a list of some commonly used functions and classes in the threading module, along with their descriptions and links …
The functools module in Python provides higher-order functions and operations on callable objects. These functions can be used to extend the capabilities of other functions and improve the efficiency of your code. Below is a list of some commonly used functions in the functools module, along with their descriptions and links to detailed guides for …
The itertools module in Python provides a collection of tools for handling iterators. These functions are fast and memory-efficient and can be used to perform various operations on iterators. Below is a list of some commonly used functions in the itertools module, along with their descriptions and links to detailed guides for each function. For …
The collections module in Python provides alternatives to Python’s general-purpose built-in containers like dict, list, set, and tuple. These alternatives are useful for specific needs and can make your code more readable and efficient. Below is a list of some commonly used functions and classes in the collections module, along with their descriptions and links …
The json module in Python provides a way to encode and decode data in JSON (JavaScript Object Notation) format. This is useful for data interchange between different systems. Below is a list of some commonly used functions and classes in the json module, along with their descriptions and links to detailed guides for each function. …
The re module in Python provides support for working with regular expressions. Regular expressions are used for matching patterns in text. Below is a list of some commonly used functions in the re module, along with their descriptions and links to detailed guides for each function. For a complete tutorial, visit Python re Module Tutorial. …
The sys module in Python provides various functions and variables that are used to manipulate different parts of the Python runtime environment. It allows you to interact with the interpreter and perform tasks such as accessing command-line arguments, handling standard input and output, and managing the recursion limit. Below is a list of some commonly …
The os module in Python provides a way to interact with the operating system. It allows you to perform tasks such as navigating the file system, managing files and directories, and executing system commands. Below is a list of some commonly used functions in the os module, along with their descriptions and links to detailed …
The sys module in Python provides access to system-specific parameters and functions that interact with the Python runtime environment. It allows you to interact with the interpreter and obtain information about the system’s configuration.