Du skal lage en **robust divisjonsfunksjon** i Python som demonstrerer omfattende feilhåndtering. Målet er å sikre at funksjonen din trygt kan dividere to tall, håndtere vanlige feil på en god måte, og gi tydelig tilbakemelding når noe går galt.




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 vil tilegne deg praktiske ferdigheter i bruk av Python-moduler og import for effektiv kodehåndtering. Behersk avanserte teknikker for feilhåndtering for mer pålitelige applikasjoner, automatiser filoperasjoner med filhåndtering, og lær robuste teststrategier med Pytest og Unittest for å sikre kodeintegritet.

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

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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.

Utfordring: Robust Divisjonsfunksjon

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