import unittest
import importlib

# 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)

    # 1. Variable existence
    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."
        )

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

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

    # 3. Correct values
    def test_remaining_tasks_correct_value(self):
        completed = 60 // 7
        expected_value = 10 - completed
        actual = getattr(self.module, 'remaining_tasks', None)

        _dynamic_test(
            self,
            actual == expected_value,
            f"The `remaining_tasks` is `{expected_value}`.",
            f"Expected `remaining_tasks` to be `{expected_value}`, but got `{actual}`."
        )

    def test_required_time_correct_value(self):
        expected_value = 10 * 7
        actual = getattr(self.module, 'required_time', None)

        _dynamic_test(
            self,
            actual == expected_value,
            f"The `required_time` is `{expected_value}`.",
            f"Expected `required_time` to be `{expected_value}`, but got `{actual}`."
        )

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


test_main.py

Gain a solid understanding of Python's core data types and learn how to work with them effectively. Explore numbers, booleans, and strings through hands-on exercises and practical examples. Build confidence in performing basic operations and develop the foundational skills needed to write clean and efficient Python code.

Discover the essentials of numerical data types in Python and learn how to work with integers and floating-point numbers. Master basic arithmetic operations, explore the concept of immutability, and get hands-on experience using Python's built-in functions and tools to handle numbers efficiently in real-world scenarios.

Gain a clear understanding of the Boolean data type, a specialized subtype of numeric data that represents truth values. Although it may seem challenging at first, mastering Booleans is essential for writing logical and efficient programs. This section will help you confidently apply Boolean logic to real-world programming scenarios.

Strings allow you to work with text in Python, from displaying messages to processing user input. You'll explore how to create, modify, and manipulate strings effectively. Understanding strings is essential for writing interactive programs and communicating information clearly through your code.

Learn how to handle data types effectively to ensure accuracy and consistency in your programs. Convert values to the appropriate type, clean text before comparison, and separate numeric operations from text formatting. You'll also discover how to manage missing data deliberately and handle human-readable text differently from raw input, achieving reliable, consistent, and easy-to-read results.

Challenge: Time Calculation in Python

解答