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

class TestTask(unittest.TestCase):
    def test_sum_first_last_many_elements(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_first_last((1, 2, 3, 4, 5))
        _dynamic_test(
            self,
            result == 6,
            "Returns correct sum for (1, 2, 3, 4, 5)",
            f"Expected 6, got {result} for input (1, 2, 3, 4, 5)"
        )

    def test_sum_first_last_two_elements(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_first_last((10, 20))
        _dynamic_test(
            self,
            result == 30,
            "Returns correct sum for (10, 20)",
            f"Expected 30, got {result} for input (10, 20)"
        )

    def test_sum_first_last_single_element(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_first_last((7,))
        _dynamic_test(
            self,
            result == 14,
            "Returns double value for (7,)",
            f"Expected 14, got {result} for input (7,)"
        )

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.

Challenge: Het Uitpakken van Tuple-Elementen

Oplossing