# -*- coding: utf-8 -*-

from queue import Queue
import sys
import subprocess
import json
import time
import math
import re
#import sqlite3
import random
import numpy as np
#from sklearn.datasets import fetch_mldata
from statistics import mean, median, variance, stdev
#from chainer import cuda, Variable, FunctionSet, optimizers
#import chainer.functions as F

def ans(i, cur_weight):
    if (i == N):
        if (cur_weight <= K):
            return cur_weight
        else:
            return 0

    return max(ans(i+1, cur_weight+A[i]), ans(i+1, cur_weight))

N, K = map(int, input().split())
A = [int(input()) for i in range(N)]
print(ans(0, 0))