Writing unit tests in Python is essential for ensuring that your code functions as expected. Unit tests are created using the built-in `unittest` framework or third-party libraries like `pytest`. They help you verify that individual parts of your code (units) behave correctly, which makes your codebase more reliable and easier to maintain.
Here’s a simple example of how to write a unit test using the `unittest` framework:
import unittest
# Sample function to be tested
def add(a, b):
return a + b
# Create a test case
class TestMathFunctions(unittest.TestCase):
def test_add(self):
self.assertEqual(add(1, 2), 3)
self.assertEqual(add(-1, 1), 0)
self.assertEqual(add(-1, -1), -2)
# Run the tests
if __name__ == '__main__':
unittest.main()
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?