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

class TestTask(unittest.TestCase):
    def test_unpack_first_last_typical(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        _dynamic_test(
            self,
            callable(func),
            "Function 'unpack_first_last' is defined.",
            "Function 'unpack_first_last' is not defined."
        )
        result = func([1, 2, 3, 4, 5, 6]) if func else None
        expected = (1, 2, 5, 6)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [1, 2, 3, 4, 5, 6]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_strings(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func(['a', 'b', 'c', 'd']) if func else None
        expected = ('a', 'b', 'c', 'd')
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list ['a', 'b', 'c', 'd']",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_five_elements(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func([10, 20, 30, 40, 50]) if func else None
        expected = (10, 20, 40, 50)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [10, 20, 30, 40, 50]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_four_elements(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        result = func([7, 8, 9, 10]) if func else None
        expected = (7, 8, 9, 10)
        _dynamic_test(
            self,
            result == expected,
            "Correct tuple for list [7, 8, 9, 10]",
            f"Expected {expected}, got {result}"
        )

    def test_unpack_first_last_too_short(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'unpack_first_last', None)
        failed = False
        try:
            func([1, 2, 3])
        except Exception:
            failed = True
        _dynamic_test(
            self,
            failed,
            "Function raises exception for list shorter than 4 elements.",
            "Function should raise exception for lists shorter than 4 elements."
        )

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

Apprendere le tecniche di packing/unpacking, argomenti flessibili per le funzioni, funzioni di ordine superiore, lambda, ambito delle variabili, closure, iteratori e decorator. Progettato per chi ha completato un corso introduttivo di Python e desidera scrivere codice più efficiente, espressivo e potente.

Esplora l'arte del packing e unpacking di liste, tuple e dizionari per scrivere codice Python più espressivo ed efficiente.

Esplora il mondo delle funzioni di ordine superiore, il passaggio di funzioni come argomenti e la scrittura di funzioni anonime concise con lambda.

Svela i misteri dell'ambito delle variabili e scopri come le funzioni annidate e le closure consentano un'incapsulamento potente.

Approfondimento sul protocollo di iterazione di Python, iteratori personalizzati e funzioni generatrici per un'elaborazione efficiente dei dati.

Sfida: Decomprimere Più Elementi

Soluzione