answer:def memoize(func): Decorator that caches a function's return value each time it is called. If called later with the same arguments, a cached value is returned. cache = {} def memoized_func(*args): if args in cache: return cache[args] result = func(*args) cache[args] = result return result return memoized_func @memoize def fibonacci(n): Returns the nth fibonacci number. if n < 2: return n return fibonacci(n - 1) + fibonacci(n - 2)

answer:def greet(name): Returns a greeting message for the given name. return f"Hello, {name}!"

answer:from collections import deque class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def level_order_traversal(root): Performs a level-order traversal of a binary tree and returns the values of the nodes in a list. :param root: TreeNode, the root of the binary tree :return: List[int], a list of values in level-order traversal if not root: return [] result = [] queue = deque([root]) while queue: node = queue.popleft() result.append(node.val) if node.left: queue.append(node.left) if node.right: queue.append(node.right) return result

answer:def elementwise_sum(list1, list2): Returns a new list containing the element-wise sum of the two lists. Assumes both lists are of the same length. return [a + b for a, b in zip(list1, list2)]