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

class TestTask(unittest.TestCase):
    def test_rectangle_area(self):
        import user_code
        importlib.reload(user_code)
        Rectangle = getattr(user_code, 'Rectangle', None)
        _dynamic_test(
            self,
            Rectangle is not None and callable(Rectangle),
            "Rectangle class is defined",
            "Rectangle class is not defined or not callable",
        )
        rect = Rectangle(4, 5)
        area_method = getattr(rect, 'area', None)
        _dynamic_test(
            self,
            area_method is not None and callable(area_method),
            "area method is defined",
            "area method is not defined or not callable",
        )
        area = rect.area()
        _dynamic_test(
            self,
            area == 20,
            "area method returns correct value for (4, 5)",
            f"Expected area 20, got {area}",
        )

    def test_rectangle_perimeter(self):
        import user_code
        importlib.reload(user_code)
        Rectangle = getattr(user_code, 'Rectangle', None)
        rect = Rectangle(4, 5)
        perimeter_method = getattr(rect, 'perimeter', None)
        _dynamic_test(
            self,
            perimeter_method is not None and callable(perimeter_method),
            "perimeter method is defined",
            "perimeter method is not defined or not callable",
        )
        perimeter = rect.perimeter()
        _dynamic_test(
            self,
            perimeter == 18,
            "perimeter method returns correct value for (4, 5)",
            f"Expected perimeter 18, got {perimeter}",
        )

    def test_rectangle_other_values(self):
        import user_code
        importlib.reload(user_code)
        Rectangle = getattr(user_code, 'Rectangle', None)
        rect = Rectangle(7, 3)
        area = rect.area()
        perimeter = rect.perimeter()
        _dynamic_test(
            self,
            area == 21,
            "area method returns correct value for (7, 3)",
            f"Expected area 21, got {area}",
        )
        _dynamic_test(
            self,
            perimeter == 20,
            "perimeter method returns correct value for (7, 3)",
            f"Expected perimeter 20, got {perimeter}",
        )

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

Aprende a construir aplicaciones limpias, seguras y escalables con Programación Orientada a Objetos en Python. Cubre los fundamentos de clases y objetos, y luego avanza hacia conceptos avanzados como herencia, composición, polimorfismo y encapsulamiento. Con explicaciones claras y ejemplos prácticos, desarrollarás la capacidad de diseñar programas en Python que sean potentes, mantenibles y listos para su uso en el mundo real.

Aprenda los conceptos fundamentales de la programación orientada a objetos en Python. Esta sección abarca clases, objetos, métodos y variables, proporcionando una base sólida para comprender cómo la POO organiza y estructura el código.

Challenge: Creating and Using Methods

Solución

Challenge: Creating and Using Methods

Solución