import unittest
import importlib
import re

# Helper function
def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestUserCode(unittest.TestCase):

    def setUp(self):
        self.module = importlib.import_module('user_code')
        importlib.reload(self.module)

    def test_remaining_tasks_is_declared(self):
        _dynamic_test(
            self,
            hasattr(self.module, 'remaining_tasks'),
            "The `remaining_tasks` variable is declared.",
            "Expected `remaining_tasks` variable to be declared."
        )

    def test_required_time_is_declared(self):
        _dynamic_test(
            self,
            hasattr(self.module, 'required_time'),
            "The `required_time` variable is declared.",
            "Expected `required_time` variable to be declared."
        )

    def test_remaining_tasks_is_integer(self):
        _dynamic_test(
            self,
            isinstance(getattr(self.module, 'remaining_tasks', None), int),
            "The `remaining_tasks` is of type `int`.",
            "Expected `remaining_tasks` to be of type `int`."
        )

    def test_required_time_is_integer(self):
        _dynamic_test(
            self,
            isinstance(getattr(self.module, 'required_time', None), int),
            "The `required_time` is of type `int`.",
            "Expected `required_time` to be of type `int`."
        )

    def test_remaining_tasks_correct_value(self):
        completed = 60 // 7
        expected_value = 10 - completed
        _dynamic_test(
            self,
            getattr(self.module, 'remaining_tasks', None) == expected_value,
            f"The `remaining_tasks` is `{expected_value}`.",
            f"Expected `remaining_tasks` to be `{expected_value}`, but got `{getattr(self.module, 'remaining_tasks', 'undefined')}`."
        )

    def test_required_time_correct_value(self):
        expected_value = 10 * 7
        _dynamic_test(
            self,
            getattr(self.module, 'required_time', None) == expected_value,
            f"The `required_time` is `{expected_value}`.",
            f"Expected `required_time` to be `{expected_value}`, but got `{getattr(self.module, 'required_time', 'undefined')}`."
        )

    def test_subtraction_used_for_remaining_tasks(self):
        with open('user_code.py', 'r') as file:
            user_code_source = re.sub(r'\s+', '', file.read())
        _dynamic_test(
            self,
            re.search(r'remaining_tasks=10-[\w_]+', user_code_source),
            "Subtraction is used for `remaining_tasks`.",
            "Expected subtraction to be used for `remaining_tasks`."
        )

    def test_multiplication_used_for_required_time(self):
        with open('user_code.py', 'r') as file:
            user_code_source = re.sub(r'\s+', '', file.read())
        multiplication_patterns = [
            r'required_time=10\*7',
            r'required_time=7\*10'
        ]
        _dynamic_test(
            self,
            any(re.search(pattern, user_code_source) for pattern in multiplication_patterns),
            "Multiplication is used for `required_time`.",
            "Expected multiplication to be used for `required_time` (10*7 or 7*10)."
        )

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: Time Calculation in Python

Solution