Pharmaceutical company researchers summarized Python unit tests

Introduction

Here, I will explain the Python test using ʻunit test`.

Test basics

The test is written as follows so that it corresponds to the function to be dealt with.

import unittest


def average(num1, num2):
    return (num1 + num2) / 2


class AverageTests(unittest.TestCase):
    
    def test_average(self):
        actual = average(1, 2)
        expected = 1.5
        self.assertEqual(actual, expected)

For the function ʻaverage, a class called ʻAverageTests is prepared, and test_average is written as a method in this class. As you can see, the function for testing is often test_function name to be tested.

ʻAssert` method

As in the example above, the ʻassert method is used when making test decisions. Some of the most commonly used ʻassert methods are:

--assertEqual (actual, expected): Whether actual and expected are equal --assertNotEqual (actual, expected): Whether actual and expected are not equal --assertTrue (bool): Whether bool is True --assertFalse (bool): Whether bool is False --assertGreater (num1, num2): Whether num1 is greater than num2 --assertGreaterEqual (num1, num2): Whether num1 is num2 or higher --assertLess (num1, num2): Whether num1 is less than num2 --assertLessEqual (num1, num2): Whether num1 is less than or equal to num2 --assertIn (value, values): Whether value is included in values

Summary

Here, I explained how to write a Python test using ʻunit test`. I would like to improve development efficiency by putting tests on my side.