#include <algorithm>
#include <complex>
#include <utility>
#include <vector>
using namespace std;

// <https://ei1333.github.io/luzhiled/snippets/math/arbitrary-mod-convolution.html>
// A little modification
struct cmplx{
    double x, y;
    cmplx() : x(0), y(0) {}
    cmplx(double x, double y) : x(x), y(y) {}
    inline cmplx operator+(const cmplx &r) const { return cmplx(x + r.x, y + r.y); }
    inline cmplx operator-(const cmplx &r) const { return cmplx(x - r.x, y - r.y); }
    inline cmplx operator*(const cmplx &r) const { return cmplx(x * r.x - y * r.y, x * r.y + y * r.x); }
    inline cmplx conj() const { return cmplx(x, -y); }
};
int fftbase = 1;
vector<cmplx> fftrts = {{0, 0}, {1, 0}};
vector<int> fftrev = {0, 1};
void ensure_base(int nbase) {
    if (nbase <= fftbase) return;
    fftrev.resize(1 << nbase);
    fftrts.resize(1 << nbase);
    for (int i = 0; i < (1 << nbase); i++) {
        fftrev[i] = (fftrev[i >> 1] >> 1) + ((i & 1) << (nbase - 1));
    }
    while (fftbase < nbase) {
        double angle = M_PI * 2.0 / (1 << (fftbase + 1));
        for (int i = 1 << (fftbase - 1); i < (1 << fftbase); i++) {
            fftrts[i << 1] = fftrts[i];
            double angle_i = angle * (2 * i + 1 - (1 << fftbase));
            fftrts[(i << 1) + 1] = {cos(angle_i), sin(angle_i)};
        }
        ++fftbase;
    }
}
void fft(int n, vector<cmplx> &a) {
    int zeros = __builtin_ctz(n);
    ensure_base(zeros);
    int shift = fftbase - zeros;
    for (int i = 0; i < n; i++) {
        if (i < (fftrev[i] >> shift)) {
            swap(a[i], a[fftrev[i] >> shift]);
        }
    }
    for (int k = 1; k < n; k <<= 1) {
        for (int i = 0; i < n; i += 2 * k) {
            for (int j = 0; j < k; j++) {
                cmplx z = a[i + j + k] * fftrts[j + k];
                a[i + j + k] = a[i + j] - z;
                a[i + j] = a[i + j] + z;
            }
        }
    }
}
template<typename T>
std::vector<cmplx> conv_cmplx(const std::vector<T> &a, const std::vector<T> &b)
{
    int N = 1;
    while (N < (int)a.size() + (int)b.size()) N *= 2;
    std::vector<cmplx> a_(N), b_(N);
    for (int i = 0; i < (int)a.size(); i++) a_[i] = {double(a[i]), 0};
    for (int i = 0; i < (int)b.size(); i++) b_[i] = {double(b[i]), 0};
    fft(N, a_);
    fft(N, b_);
    for (int i = 0; i < N; i++) a_[i] = a_[i] * b_[i];
    reverse(a_.begin() + 1, a_.end());
    fft(N, a_);
    for (int i = 0; i < N; i++) a_[i].x /= N, a_[i].y /= N;
    return a_;
}
template<typename T>
std::vector<long long int> fftconv(const std::vector<T> &a, const std::vector<T> &b)
{
    std::vector<cmplx> ans = conv_cmplx(a, b);
    std::vector<long long int> ret(ans.size());
    for (int i = 0; i < (int)ans.size(); i++) ret[i] = llround(ans[i].x);
    return ret;
}


#include <iostream>
struct fast_ios { fast_ios(){ cin.tie(0); ios::sync_with_stdio(false); cout << fixed; }; } fast_ios_;


int main()
{
    int N;
    cin >> N;
    long long int M;
    cin >> M;
    vector<int> v(100001);
    while (N--) {
        int a;
        cin >> a;
        v[a]++;
    }
    vector<long long int> c = fftconv(v, v);
    long long int ret = 0;
    for (int i = (int)c.size() - 1; i >= 0; i--) {
        long long int d = min(M, c[i]);
        M -= d;
        ret += d * i;
    }
    cout << ret << endl;
}

Measured memory_bytes: 13952