import unittest

class TestUserCode(unittest.TestCase):
    def test_report_is_valid(self):
        self._testMethodName = '`report_is_valid` equals `True`'
        import user_code
        self.assertTrue(hasattr(user_code, 'report_is_valid'), "Expected `report_is_valid` to be defined.")
        self.assertEqual(user_code.report_is_valid, True, f"Expected `report_is_valid` to equal `True`, but got `{user_code.report_is_valid}`.")

    def test_report_is_flagged(self):
        self._testMethodName = '`report_is_flagged` equals `False`'
        import user_code
        self.assertTrue(hasattr(user_code, 'report_is_flagged'), "Expected `report_is_flagged` to be defined.")
        self.assertEqual(user_code.report_is_flagged, False, f"Expected `report_is_flagged` to equal `False`, but got `{user_code.report_is_flagged}`.")

if __name__ == '__main__':
    unittest.main()

test_main.py

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

Mastering boolean data types and logical operations in Python. You'll learn how to work with True and False, apply logical operators like and, or, and not, and understand how operator precedence works in complex expressions.

Strings are an essential part of Python programming, allowing you to work with text data. In this section, you'll learn how to manipulate strings, extract characters, slice words, and search for specific phrases.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

Challenge: Logical Statements

Solution

Challenge: Logical Statements

Solution