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

class TestTask(unittest.TestCase):
    def test_basic_case(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Alice", "Bob", "Charlie"]
        scores = [85, 92, 78]
        expected = [
            "1. Alice scored 85",
            "2. Bob scored 92",
            "3. Charlie scored 78"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Correctly formats parallel lists with three items.",
            f"Expected {expected}, got {result}",
        )

    def test_empty_lists(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        result = func([], []) if func else None
        _dynamic_test(
            self,
            result == [],
            "Returns empty list for empty input lists.",
            f"Expected empty list, got {result}",
        )

    def test_different_names(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Dana", "Eli"]
        scores = [100, 99]
        expected = [
            "1. Dana scored 100",
            "2. Eli scored 99"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Correctly formats two pairs.",
            f"Expected {expected}, got {result}",
        )

    def test_single_element(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Sam"]
        scores = [70]
        expected = ["1. Sam scored 70"]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Works for single element lists.",
            f"Expected {expected}, got {result}",
        )

    def test_non_string_names(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'format_scores', None)
        names = ["Anna", 123, "Mark"]
        scores = [88, 77, 66]
        expected = [
            "1. Anna scored 88",
            "2. 123 scored 77",
            "3. Mark scored 66"
        ]
        result = func(names, scores) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Handles non-string names by stringifying them.",
            f"Expected {expected}, 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

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: Built-In Iterators in Use

Ratkaisu