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

class TestTask(unittest.TestCase):
    def test_returns_tuple_of_three(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'result', None)
        _dynamic_test(
            self,
            isinstance(result, tuple) and len(result) == 3,
            "Returned value is a tuple of three elements",
            f"Expected a tuple of three elements, got: {result}",
        )

    def test_tuple_contains_exact_values(self):
        import user_code
        importlib.reload(user_code)
        result = getattr(user_code, 'result', None)
        expected = (10, 20, 30)
        _dynamic_test(
            self,
            result == expected,
            "Returned tuple contains the correct values (10, 20, 30)",
            f"Expected tuple {expected}, got: {result}",
        )

    def test_unpacking_works(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'pack_to_tuple', None)
        test_values = [1, 2, 3]
        result = None
        if func:
            try:
                result = func(*test_values)
            except Exception as e:
                result = None
        _dynamic_test(
            self,
            isinstance(result, tuple) and result == (1, 2, 3),
            "Function works when called by unpacking a list of three elements.",
            f"Calling function with unpacked list [1, 2, 3] should return (1, 2, 3), 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

Beheers het inpakken/uitpakken, flexibele functieargumenten, hogere-orde functies, lambda's, variabele scope, closures, iterators en decorators. Ontworpen voor cursisten die een inleidende Python-cursus hebben afgerond en efficiëntere, expressievere en krachtigere code willen schrijven.

Ontdek de kunst van het inpakken en uitpakken van lijsten, tuples en dictionaries om expressievere en efficiëntere Python-code te schrijven.

Verdiep je in de wereld van hogere-orde functies, het doorgeven van functies als argumenten en het schrijven van beknopte anonieme functies met lambda.

Ontrafel de mysteries van variabele scope en ontdek hoe geneste functies en closures krachtige encapsulatie mogelijk maken.

Verdiep u in het iteratieprotocol van Python, aangepaste iterators en generatorfuncties voor efficiënte gegevensverwerking.

Uitdaging: Inpakken en Uitpakken van Lijsten en Tuples

Oplossing