import unittest
import user_code
import ast
import re   
import importlib

class TestTask(unittest.TestCase):
    def test_power_up_double(self):
        import user_code
        importlib.reload(user_code)
        power_up_double = getattr(user_code, 'power_up_double', None)
        _dynamic_test(
            self,
            callable(power_up_double),
            "power_up_double is a function",
            "power_up_double is not defined as a function",
        )
        result = power_up_double(10) if power_up_double else None
        _dynamic_test(
            self,
            result == 20,
            "power_up_double(10) returns 20",
            f"power_up_double(10) did not return 20, got {result}",
        )

    def test_power_up_triple(self):
        import user_code
        importlib.reload(user_code)
        power_up_triple = getattr(user_code, 'power_up_triple', None)
        _dynamic_test(
            self,
            callable(power_up_triple),
            "power_up_triple is a function",
            "power_up_triple is not defined as a function",
        )
        result = power_up_triple(5) if power_up_triple else None
        _dynamic_test(
            self,
            result == 15,
            "power_up_triple(5) returns 15",
            f"power_up_triple(5) did not return 15, got {result}",
        )

    def test_different_multipliers(self):
        import user_code
        importlib.reload(user_code)
        create_power_up = getattr(user_code, 'create_power_up', None)
        _dynamic_test(
            self,
            callable(create_power_up),
            "create_power_up is a function",
            "create_power_up is not defined as a function",
        )
        double = create_power_up(2) if create_power_up else None
        half = create_power_up(0.5) if create_power_up else None
        r1 = double(7) if double else None
        r2 = half(8) if half else None
        _dynamic_test(
            self,
            r1 == 14,
            "Function with multiplier 2 returns correct result (7 * 2 == 14)",
            f"Expected 14, got {r1} for create_power_up(2)(7)",
        )
        _dynamic_test(
            self,
            r2 == 4.0,
            "Function with multiplier 0.5 returns correct result (8 * 0.5 == 4.0)",
            f"Expected 4.0, got {r2} for create_power_up(0.5)(8)",
        )

    def test_independent_closures(self):
        import user_code
        importlib.reload(user_code)
        create_power_up = getattr(user_code, 'create_power_up', None)
        _dynamic_test(
            self,
            callable(create_power_up),
            "create_power_up is a function",
            "create_power_up is not defined as a function",
        )
        up5 = create_power_up(5) if create_power_up else None
        up10 = create_power_up(10) if create_power_up else None
        r1 = up5(2) if up5 else None
        r2 = up10(2) if up10 else None
        _dynamic_test(
            self,
            r1 == 10 and r2 == 20,
            "Each closure keeps its own multiplier",
            f"Expected up5(2)==10 and up10(2)==20, got {r1} and {r2}",
        )

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)

def normalize_text(text):
    text = text.lower()
    text = re.sub(r"\\s{2,}", " ", text)
    text = re.sub(r"\\s*([,:?])\\s*", r"\\1 ", text)
    return text.strip()

def change_var(code: str, var_name: str, value: str) -> str:
    tree = ast.parse(code)
    lines = code.splitlines()
    changed = False
    assign_nodes = [
        (i, node)
        for i, node in enumerate(tree.body)
        if isinstance(node, ast.Assign)
        and any(isinstance(target, ast.Name) and target.id == var_name for target in node.targets)
    ]
    if not assign_nodes:
        return code
    for i, node in reversed(assign_nodes):
        start_line = node.lineno - 1
        line = lines[start_line]
        indent = ' ' * (len(line) - len(line.lstrip()))
        lines[start_line] = f"{indent}{var_name} = {value}"
        next_line = len(lines)
        for next_node in tree.body[i+1:]:
            if hasattr(next_node, 'lineno'):
                next_line = next_node.lineno - 1
                break
        if next_line > start_line + 1:
            lines[start_line+1:next_line] = []
        changed = True
    return '\\n'.join(lines) if changed else code


test_main.py

Beherrschung von Packing/Unpacking, flexiblen Funktionsargumenten, Higher-Order-Funktionen, Lambdas, Variablenbereich, Closures, Iteratoren und Dekoratoren. Konzipiert für Lernende, die einen Einführungskurs in Python abgeschlossen haben und effizienteren, ausdrucksstärkeren und leistungsfähigeren Code schreiben möchten.

Erkunden Sie die Kunst des Packens und Entpackens von Listen, Tupeln und Dictionaries, um ausdrucksstärkeren und effizienteren Python-Code zu schreiben.

Tauchen Sie ein in die Welt der höherwertigen Funktionen, das Übergeben von Funktionen als Argumente und das Schreiben prägnanter anonymer Funktionen mit Lambda.

Entschlüsseln der Geheimnisse des Variablenbereichs und Erlernen, wie verschachtelte Funktionen und Closures eine leistungsstarke Kapselung ermöglichen.

Vertiefung in das Iterationsprotokoll von Python, benutzerdefinierte Iteratoren und Generatorfunktionen für effiziente Datenverarbeitung.

Herausforderung: Den Helden Aufrüsten

Lösung