Testing and Debugging

Writing Tests

• Unittest: A built-in Python framework for writing tests.
• pytest: A more advanced testing framework that offers advanced features and plugins.

Running Tests

• python -m unittest discover or pytest
• Running tests should identify errors and failures.

Using Debugger

• pdb: A built-in Python debugger that allows you to step through code.
• ipdb: A more advanced debugger that offers more features.

Debugging with Logging

• Adding logging statements to your code can help identify errors and trace code execution.
• Use the logging module.

Debugging with Third-Party Tools

• Visual Studio Code: An IDE with built-in debugging features.
• PyCharm: A professional IDE with advanced debugging capabilities.

Python Example

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

# Unittest
import unittest

class TestAddNumbers(unittest.TestCase):
    def test_positive_numbers(self):
        self.assertEqual(add_numbers(1, 2), 3)

# pytest
import pytest

@pytest.mark.parametrize("a, b, expected", [(1, 2, 3), (-1, 2, 1)])
def test_add_numbers(a, b, expected):
    assert add_numbers(a, b) == expected

# Using pdb
import pdb

def add_numbers_pdb(a, b):
    pdb.set_trace()  # Set a breakpoint
    return a + b

# Running with pdb
add_numbers_pdb(1, 2)