Du kommer att skapa en **robust divisionsfunktion** i Python som demonstrerar omfattande felhantering. Målet är att säkerställa att din funktion kan dela två tal på ett säkert sätt, hantera vanliga fel smidigt och ge tydlig återkoppling när något går fel.




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

Du kommer att förvärva praktiska färdigheter i Pythons moduler och importer för effektiv kodhantering. Behärska avancerade tekniker för felhantering för mer tillförlitliga applikationer, automatisera filoperationer med filhantering och lär dig robusta teststrategier med Pytest och Unittest för att säkerställa kodens integritet.

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Utmaning: Robust Divisionsfunktion

Lösning