import heapq class Node: def __init__(self, weight): self.left = None self.right = None self.weight = weight def __lt__(self, other): return self.weight < other.weight def build_huffman_tree(weights): nodes = [Node(w) for w in weights] heapq.heapify(nodes) while len(nodes) > 1: left = heapq.heappop(nodes) right = heapq.heappop(nodes) parent = Node(left.weight + right.weight) parent.left = left parent.right = right heapq.heappush(nodes, parent) return nodes[0] def encode(root, prefix="", encoding={}): if root.left is None and root.right is None: encoding[root.weight] = prefix if root.left: encode(root.left, prefix + "0", encoding) if root.right: encode(root.right, prefix + "1", encoding) return encoding def get_sum(node, depth): if node is None: return 0 if node.left is None and node.right is None: return depth * node.weight return get_sum(node.left, depth + 1) + get_sum(node.right, depth + 1) def huffman_tree(weights): root_node = build_huffman_tree(weights) encoding = encode(root_node) return get_sum(root_node, 0) while True: try: n = int(input().strip()) weights = list(map(int, input().strip().split())) print(huffman_tree(weights)) except: break