Du står overfor en **magisk utfordring**: som lærling-trollmann må du sikre at tryllestavens trylleformelskript oppfører seg riktig, selv når de uforutsigbare kreftene av mana er i spill. Staven er avhengig av en funksjon kalt `get_mana_level()` for å sanse den omgivende magiske energien. Hvis manaen er høy nok, utløses din flammende formel; hvis ikke, blir det bare en skuffende røykpuff. For å teste formelen din pålitelig, må du **mocke mana-nivået**, og simulere både høy og lav magisk energi.


import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
from unittest.mock import patch
import importlib

class TestTask(unittest.TestCase):
    def test_spell_success(self):
        import user_code
        importlib.reload(user_code)
        with patch('user_code.get_mana_level', return_value=80):
            result = user_code.cast_spell()
            _dynamic_test(
                self,
                result == "Fireball cast successfully!",
                "cast_spell() returns success message when mana is high (mocked to 80)",
                f"Expected success message, got: {result}"
            )

    def test_spell_fizzle(self):
        import user_code
        importlib.reload(user_code)
        with patch('user_code.get_mana_level', return_value=20):
            result = user_code.cast_spell()
            _dynamic_test(
                self,
                result == "The spell fizzled...",
                "cast_spell() returns fizzle message when mana is low (mocked to 20)",
                f"Expected fizzle message, 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

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.

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.

Challenge: Mocking av interne avhengigheter

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