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

class TestTask(unittest.TestCase):
    def test_basic_case(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Alice", "Bob", "Charlie"]
        scores = [85, 92, 78]
        expected = [
            "1. Alice scored 85",
            "2. Bob scored 92",
            "3. Charlie scored 78"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Correctly formats parallel lists with three items.",
            f"Expected {expected}, got {result}",
        )

    def test_empty_lists(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        result = func([], []) if func else None
        _dynamic_test(
            self,
            result == [],
            "Returns empty list for empty input lists.",
            f"Expected empty list, got {result}",
        )

    def test_different_names(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Dana", "Eli"]
        scores = [100, 99]
        expected = [
            "1. Dana scored 100",
            "2. Eli scored 99"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Correctly formats two pairs.",
            f"Expected {expected}, got {result}",
        )

    def test_single_element(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Sam"]
        scores = [70]
        expected = ["1. Sam scored 70"]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Works for single element lists.",
            f"Expected {expected}, got {result}",
        )

    def test_non_string_names(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Anna", 123, "Mark"]
        scores = [88, 77, 66]
        expected = [
            "1. Anna scored 88",
            "2. 123 scored 77",
            "3. Mark scored 66"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Handles non-string names by stringifying them.",
            f"Expected {expected}, got {result}",
        )

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

Maîtrise de l'emballage/déballage, des arguments de fonction flexibles, des fonctions d'ordre supérieur, des lambdas, de la portée des variables, des closures, des itérateurs et des décorateurs. Conçu pour les apprenants ayant suivi un cours d'introduction à Python et souhaitant écrire un code plus efficace, expressif et puissant.

Explorez l'art du packing et unpacking des listes, tuples et dictionnaires pour écrire un code Python plus expressif et efficace.

Plongez dans le monde des fonctions d'ordre supérieur, du passage de fonctions en tant qu'arguments, et de l'écriture de fonctions anonymes concises avec lambda.

Démystifier la portée des variables et découvrir comment les fonctions imbriquées et les closures permettent une encapsulation puissante.

Plongez dans le protocole d'itération de Python, les itérateurs personnalisés et les fonctions génératrices pour un traitement efficace des données.

Challenge: Built-In Iterators in Use

Solution