Création d'une **fonction de division robuste** en Python illustrant une gestion complète des erreurs. Objectif : garantir que la fonction divise en toute sécurité deux nombres, gère élégamment les erreurs courantes et fournisse des retours clairs en cas de problème.




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

class TestTask(unittest.TestCase):
    def test_valid_division(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'robust_divide', None)
        output = result(10, 2) if result else None
        _dynamic_test(
            self,
            output == 5,
            "robust_divide returns correct result for (10, 2)",
            f"Expected 5, got {output} for (10, 2)",
        )

    def test_division_by_zero(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'robust_divide', None)
        output = result(5, 0) if result else None
        _dynamic_test(
            self,
            output == "Cannot divide by zero",
            "robust_divide returns correct message for division by zero",
            f"Expected 'Cannot divide by zero', got {output}",
        )

    def test_invalid_type_first_arg(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'robust_divide', None)
        output = result('10', 2) if result else None
        _dynamic_test(
            self,
            output == "Invalid input type",
            "robust_divide returns correct message for invalid first argument type",
            f"Expected 'Invalid input type', got {output}",
        )

    def test_invalid_type_second_arg(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'robust_divide', None)
        output = result(8, '0') if result else None
        _dynamic_test(
            self,
            output == "Invalid input type",
            "robust_divide returns correct message for invalid second argument type",
            f"Expected 'Invalid input type', got {output}",
        )

    def test_float_division(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'robust_divide', None)
        output = result(7.5, 2.5) if result else None
        _dynamic_test(
            self,
            output == 3.0,
            "robust_divide returns correct result for (7.5, 2.5)",
            f"Expected 3.0, got {output} for (7.5, 2.5)",
        )

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

Vous acquerrez des compétences pratiques dans les modules et les imports de Python pour une gestion efficace du code. Maîtrisez des techniques avancées de gestion des erreurs pour des applications plus fiables, automatisez les opérations de fichiers avec la gestion des fichiers, et apprenez des stratégies de test robustes avec Pytest et Unittest pour assurer l'intégrité de votre code.

Master Python's exception system for robust error handling and debugging.

Explore advanced techniques for file operations and resource management using context managers.

Compare and apply Python's multithreading and multiprocessing modules for concurrent programming.

Master asynchronous programming in Python using the asyncio library for scalable I/O-bound applications.

Explore how to write, organize, and run tests using Python's unittest and pytest frameworks.

Défi : Fonction de Division Robuste

Solution