You are about to face a **magical challenge**: as an apprentice wizard, you need to ensure your Magic Wand’s spell-casting script behaves correctly, even when the unpredictable forces of mana are at play. The wand relies on a function called `get_mana_level()` to sense the ambient magical energy. If the mana is high enough, your fiery spell bursts forth; if not, it fizzles into a disappointing puff. To test your spell reliably, you must **mock the mana level**, simulating both high and low magical energy.


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

A deep dive into advanced structural programming concepts in Python, focusing on robust file handling, error management, concurrency, asynchronous programming and testing.

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 Internal Dependencies

Lösning