import unittest
import importlib
import re

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 TestPeopleTuple(unittest.TestCase):

    def test_people_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'people'),
            "The `people` tuple is declared.",
            "Expected `people` to be declared."
        )

    def test_peters_info_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'peters_info'),
            "The `peters_info` variable is declared.",
            "Expected `peters_info` to be declared."
        )

    def test_johns_height_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'johns_height'),
            "The `johns_height` variable is declared.",
            "Expected `johns_height` to be declared."
        )

    def test_alexs_age_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'alexs_age'),
            "The `alexs_age` variable is declared.",
            "Expected `alexs_age` to be declared."
        )

    def test_peters_info_correct(self):
        import user_code
        expected_value = ('Peter', 29, 175)
        _dynamic_test(
            self,
            user_code.peters_info == expected_value,
            "The `peters_info` variable contains the correct information.",
            f"Expected `peters_info` to be {expected_value}, but got {user_code.peters_info}."
        )

    def test_johns_height_correct(self):
        import user_code
        expected_value = 185
        _dynamic_test(
            self,
            user_code.johns_height == expected_value,
            "The `johns_height` variable contains the correct height.",
            f"Expected `johns_height` to be {expected_value}, but got {user_code.johns_height}."
        )

    def test_alexs_age_correct(self):
        import user_code
        expected_value = 23
        _dynamic_test(
            self,
            user_code.alexs_age == expected_value,
            "The `alexs_age` variable contains the correct age.",
            f"Expected `alexs_age` to be {expected_value}, but got {user_code.alexs_age}."
        )

    def test_correct_indexing_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()

        indexing_patterns = [
            r'people\s*\[\s*\d+\s*\]', 
            r'people\s*\[\s*\d+\s*\]\s*\[\s*\d+\s*\]',  
        ]

        all_found = all(re.search(pattern, user_code_source) for pattern in indexing_patterns)

        _dynamic_test(
            self,
            all_found,
            "Correct indexing is used to extract values.",
            "Expected indexing with `people[2]`, `people[3][2]`, and `people[0][1]` to be used."
        )

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


test_main.py

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.

Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.

Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.

Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.

Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.

Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.

How can you retrieve a value from a dictionary by its key?

What is the difference between a tuple and a list?

How can you access the third element in this list?


What does the `copy()` method do for lists in Python?

Is there a strict limit on how deeply you can nest tuples/lists/dictionaries in Python?

How do you update a value in a dictionary?

How would you change "green" to "yellow"?

Name	Age	Height
Alex	23	178
Noah	34	189
Peter	29	175
John	41	185
Michelle	35	165

Name	Age	Height
Alex	23	178
Noah	34	189
Peter	29	175
John	41	185
Michelle	35	165

Challenge: Retrieving Information from Nested Tuple

Oplossing

Challenge: Retrieving Information from Nested Tuple

Oplossing