![]() Return 'Negative numbers are not allowed'įor i in range(2, int(math.sqrt(n)) + 1): First, open a folder in your favorite code editor. We will write some functions first, and then we will focus on writing the tests. Without any further delay, let’s use the unittest module. Note: If you have any queries about the unittest module, you can go to the documentation and clear your doubts. You can easily understand them without any difficulty. You can find the list of comparing functions here. So, to compare the outputs unittest provides different methods. Generally, in testing, we compare the output of the code with the expected output. So, we must name our test files with the keyword test in starting. It will find the tests using the naming convention that we followed. We can autorun the tests using the command python -m unittest discover without mentioning the filename of the test. For this method to work, we need to invoke the main method of the unittest in the test file. We run the test files like general Python files with the command python test_filename.py.Run the command python -m unittest test_filename.py.We must name the method starting with test keyword. Each method contains different test cases based on your requirement. #5.Write methods (tests) inside the class. ![]() #4.Create a class extending the class unittest.TestCase. The keyword test is used to identify the test files. #3.Create a file starting with the keyword test. ![]() We have to follow the below steps to test the Python code using the unittest module. The built-in unittest module is good to get started with testing in Python. But, it changes based on your requirement. So, we can use the built-in unittest module for testing without using the third-party modules. It has a test runner, which allows us to run the tests without much effort. Python unittest is a built-in testing framework to test Python code. If you are not familiar with Python intermediate concepts like classes, modules, etc., you may find it difficult to understand the coming sections. Note: We are assuming that you are familiar with Python classes, modules, etc. In the coming sections, we will see what the Python unittest module is and how we use the unittest module to write unit tests in Python. Since we have performed unit tests, other tests like integration tests, end-to-end tests, etc., won’t fail because of the independent block of codes. ![]() Now, we know the importance of unit testing and written unit tests for all independent code blocks. That’s why the basic building blocks of the code must be tested well. All other tests like integration tests, end-to-end tests, etc., using the other small blocks of code may fail. Let’s assume we didn’t test small blocks of code that are used across the project. What happens if we don’t use unit tests for our project? Unit tests are the tests used to test those types of independent blocks of code. In general, the independent blocks code can be used across the project. The independent piece of code can be used across the project. So, we can test it independently by giving different inputs. The above function has no dependencies on any other code. For that, we have written a function that takes one argument and returns whether it’s equal to “Geekflare” or not. Let’s say we have to check whether a string is equal to “Geekflare” or not. The word independent means it doesn’t depend on other pieces of code in the project. The small-block code will be a function in most cases. Unit testing is a technique to test a small block of independent code. Without any further ado, let’s dive into the actual tutorial. Here, we are going to discuss the most essential and basic testing type called unit testing. If there are any errors, fix them and repeat the steps.
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