
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib

class TestTask(unittest.TestCase):
    def test_unpack_first_last_typical(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        _dynamic_test(
            self,
            callable(func),
            "Function 'unpack_first_last' is defined.",
            "Function 'unpack_first_last' is not defined."
        )
        result = func([1, 2, 3, 4, 5, 6]) if func else None
        expected = (1, 2, 5, 6)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [1, 2, 3, 4, 5, 6]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_strings(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func(['a', 'b', 'c', 'd']) if func else None
        expected = ('a', 'b', 'c', 'd')
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list ['a', 'b', 'c', 'd']",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_five_elements(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func([10, 20, 30, 40, 50]) if func else None
        expected = (10, 20, 40, 50)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [10, 20, 30, 40, 50]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_four_elements(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func([7, 8, 9, 10]) if func else None
        expected = (7, 8, 9, 10)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [7, 8, 9, 10]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_too_short(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        failed = False
        try:
            func([1, 2, 3])
        except Exception:
            failed = True
        _dynamic_test(
            self,
            failed,
            "Function raises exception for list shorter than 4 elements.",
            "Function should raise exception for lists shorter than 4 elements."
        )

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
    # Collect all assignment nodes to modify
    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 nothing to change, return unmodified code
    if not assign_nodes:
        return code

    # Perform replacements for all matching assignments (from last to first to not break line offsets)
    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

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


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.

Challenge: Entpacken Mehrerer Elemente

Lösung