# -*- 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("N =", N)
# print("K =", K)
# for i in range(N):
#     print("A[i] =", A[i])
print(ans(0, 0))