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

class TestTask(unittest.TestCase):
    def test_chained_odds_squared_basic(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.chained_odds_squared(range(10))
        expected = [1, 9, 25, 49, 81]
        _dynamic_test(
            self,
            hasattr(user_code, 'chained_odds_squared') and callable(user_code.chained_odds_squared),
            "Function 'chained_odds_squared' is defined and callable.",
            "Function 'chained_odds_squared' is not defined or not callable."
        )
        _dynamic_test(
            self,
            hasattr(user_code, 'filter_odds') and callable(user_code.filter_odds),
            "Function 'filter_odds' is defined and callable.",
            "Function 'filter_odds' is not defined or not callable."
        )
        _dynamic_test(
            self,
            hasattr(user_code, 'square_numbers') and callable(user_code.square_numbers),
            "Function 'square_numbers' is defined and callable.",
            "Function 'square_numbers' is not defined or not callable."
        )
        _dynamic_test(
            self,
            result is not None and list(result) == expected,
            f"Correct output list for range(10): {expected}",
            f"Expected {expected}, got {list(user_code.chained_odds_squared(range(10)))}"
        )
    def test_chained_odds_squared_empty(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.chained_odds_squared([])
        expected = []
        _dynamic_test(
            self,
            result is not None and list(result) == expected,
            "Returns empty list for empty input.",
            f"Expected empty list, got {list(user_code.chained_odds_squared([]))}"
        )
    def test_chained_odds_squared_all_even(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.chained_odds_squared([2, 4, 6, 8])
        expected = []
        _dynamic_test(
            self,
            result is not None and list(result) == expected,
            "Returns empty list for all even input.",
            f"Expected empty list, got {list(user_code.chained_odds_squared([2,4,6,8]))}"
        )
    def test_chained_odds_squared_negative_numbers(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.chained_odds_squared([-5, -4, -3, -2, -1, 0, 1])
        expected = [25, 9, 1, 1]
        _dynamic_test(
            self,
            result is not None and list(result) == expected,
            "Correctly handles negative and zero values.",
            f"Expected {expected}, got {list(user_code.chained_odds_squared([-5, -4, -3, -2, -1, 0, 1]))}"
        )
    def test_chained_odds_squared_non_list_iterable(self):
        import user_code
        importlib.reload(user_code)
        def gen():
            for i in range(3, 8):
                yield i
        result = user_code.chained_odds_squared(gen())
        expected = [9, 25, 49]
        _dynamic_test(
            self,
            result is not None and list(result) == expected,
            "Works with any iterable, not just lists.",
            f"Expected {expected}, got {list(user_code.chained_odds_squared(range(3,8)))}"
        )

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

Hallitse pakkaus- ja purkutekniikat, joustavat funktioargumentit, korkeamman asteen funktiot, lambda-lausekkeet, muuttujien näkyvyysalueet, sulkeumat, iteraattorit ja dekorointifunktiot. Suunniteltu oppijoille, jotka ovat suorittaneet Pythonin peruskurssin ja haluavat kirjoittaa tehokkaampaa, ilmeikkäämpää ja monipuolisempaa koodia.

Tutustu listojen, tuplien ja sanakirjojen pakkaamisen ja purkamisen taitoon kirjoittaaksesi ilmeikkäämpää ja tehokkaampaa Python-koodia.

Syvenny korkeamman asteen funktioiden maailmaan, funktioiden välittämiseen argumentteina ja tiiviiden anonyymien funktioiden kirjoittamiseen lambda-avainsanalla.

Selvitä muuttujien näkyvyyden salaisuudet ja opi, kuinka sisäkkäiset funktiot ja sulut mahdollistavat tehokkaan kapseloinnin.

Syvenny Pythonin iteraatioprotokollaan, mukautettuihin iteraattoreihin ja generaattorifunktioihin tehokasta datankäsittelyä varten.

Challenge: Chaining and Composing Iterators

Ratkaisu