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

class TestTask(unittest.TestCase):
    def test_sum_of_squares_positive_evens(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_of_squares_of_evens([1, 2, 3, 4, 5, 6])
        _dynamic_test(
            self,
            result == 56,
            "Returns correct sum of squares for positive evens",
            f"Expected 56, got {result}",
        )

    def test_sum_of_squares_no_evens(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_of_squares_of_evens([7, 9, 11])
        _dynamic_test(
            self,
            result == 0,
            "Returns 0 for list with no even numbers",
            f"Expected 0, got {result}",
        )

    def test_sum_of_squares_negative_and_zero(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_of_squares_of_evens([0, -2, -4])
        _dynamic_test(
            self,
            result == 20,
            "Correctly handles negative even numbers and zero",
            f"Expected 20, got {result}",
        )

    def test_sum_of_squares_empty_list(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.sum_of_squares_of_evens([])
        _dynamic_test(
            self,
            result == 0,
            "Returns 0 for an empty input list",
            f"Expected 0, 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

In this course, you will learn advanced topics such as function arguments, iterators, generators, closures, and decorators. Dozens of practice exercises will help you grasp these topics.

Explore the art of packing and unpacking lists, tuples, and dictionaries to write more expressive and efficient Python code.

Delve into the world of higher-order functions, passing functions as arguments, and writing concise anonymous functions with lambda.

Unravel the mysteries of variable scope, and learn how nested functions and closures enable powerful encapsulation.

Delve into Python's iteration protocol, custom iterators, and generator functions for efficient data processing.

Challenge: Sum of Squares of Even Numbers

Ratkaisu