import unittest
import importlib
import re

# Helper function to dynamically generate test names and assertions
def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message  # Rename the test for better readability
        test_case.assertTrue(True, success_message)  # Pass the test with a success message
    else:
        test_case._testMethodName = failure_message  # Rename the test with a failure description
        test_case.fail(failure_message)  # Fail the test with a failure message

class TestUserCode(unittest.TestCase):

    def setUp(self):
        # Reload the module to make sure we are testing the latest code
        self.module = importlib.import_module('user_code')
        importlib.reload(self.module)

    # Test if `remaining_tasks` is declared
    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."
        )

    # Test if `required_time` is 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."
        )

    # Test if `remaining_tasks` is an integer
    def test_remaining_tasks_is_integer(self):
        _dynamic_test(
            self,
            hasattr(self.module, 'remaining_tasks') and isinstance(self.module.remaining_tasks, int),
            "The `remaining_tasks` is of type `int`.",
            "Expected `remaining_tasks` to be of type `int`."
        )

    # Test if `required_time` is an integer
    def test_required_time_is_integer(self):
        _dynamic_test(
            self,
            hasattr(self.module, 'required_time') and isinstance(self.module.required_time, int),
            "The `required_time` is of type `int`.",
            "Expected `required_time` to be of type `int`."
        )

    # Test if `remaining_tasks` has the correct value
    def test_remaining_tasks_correct_value(self):
        completed = 60 // 7  # Completed transactions
        expected_value = 10 - completed  # Remaining tasks
        _dynamic_test(
            self,
            hasattr(self.module, 'remaining_tasks') and self.module.remaining_tasks == 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')}`."
        )

    # Test if `required_time` has the correct value
    def test_required_time_correct_value(self):
        expected_value = 10 * 7  # Total time needed for all transactions
        _dynamic_test(
            self,
            hasattr(self.module, 'required_time') and self.module.required_time == 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')}`."
        )

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

    # Test if multiplication is used for `required_time`
    def test_multiplication_used_for_required_time(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()
        _dynamic_test(
            self,
            re.search(r'required_time\s*=\s*10\s*\*\s*7', user_code_source),
            "Multiplication is used for `required_time`.",
            "Expected multiplication to be used for `required_time`."
        )

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 a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

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

Data Types in Python

Challenge: Time Calculation in Python

Solution

Challenge: Time Calculation in Python

Solution