selenium-python
  1. selenium-python-use-with-pytest
PreviousNext

Use with PyTest - (Testing Frameworks)

PyTest is a popular testing framework for Python applications. It provides a simple, yet powerful way of writing and running tests. In this tutorial, we'll discuss how to use PyTest for testing your Python applications.

Syntax

The syntax for PyTest is as follows:

def test_function_name():
    # test code

Example

Suppose we have a simple Python function called add_numbers that adds two numbers together:

def add_numbers(a, b):
    return a + b

To write a test for this function using PyTest, we would create a new file called test_add_numbers.py:

def test_add_numbers():
    assert add_numbers(2, 3) == 5

When we run this test using PyTest, we should see the following output:

=============================== test session starts ===============================
platform win32 -- Python 3.8.5, pytest-6.2.3, py-1.10.0, pluggy-0.13.1
rootdir: C:\Users\username\project_directory
collected 1 item

test_add_numbers.py .                                                        [100%]

=============================== 1 passed in 0.02s ================================

This output tells us that our test passed.

Explanation

PyTest provides a simple and intuitive way of writing tests for your Python applications. By using the assert statement, PyTest can check whether the expected output of a function matches the actual output.

Use

PyTest can be used for testing a wide range of Python applications, from small scripts to large, complex applications.

Important Points

Here are some important points to keep in mind when using PyTest:

  • Unit tests should be run frequently, especially during development.
  • Test coverage should be as comprehensive as possible, covering all possible code paths.
  • Tests should be easy to run and maintain.

Summary

In this tutorial, we discussed how to use PyTest for testing your Python applications. We covered syntax, example, explanation, use, and important points of using PyTest to write and run tests. By following best practices when writing tests with PyTest, you can ensure that your Python applications are reliable and robust.

manage cookiesWrite and run test cases
Published on: