#include using namespace std; const long long MOD1 = 1000000007; const long long MOD2 = 998244353; typedef long long ll; typedef pair P; const long long INF = 1e17; template void input_arr(vector& A, ll N) { for (ll i = 0; i < N; i++) { cin >> A[i]; } } template void input_arr(vector>& A, ll N) { for (ll i = 0; i < N; i++) { cin >> A[i].first >> A[i].second; } } template void input_arr(vector>& A, ll H, ll W) { for (ll i = 0; i < H; i++) { for (ll j = 0; j < W; j++) { cin >> A[i][j]; } } } vectorseen(200010, false); vector

kukan(200010, {INF, -INF}); vectorB; ll num = -1; void dfs(vector>&G, ll v) { seen[v] = true; kukan[v].first = (ll)B.size() - 1; for (auto nv : G[v]) { if (!seen[nv]) { if (num != nv) { B.push_back(nv); num = nv; } dfs(G, nv); } } kukan[v].second = B.size(); } struct SuccinctIndexableDictionary { size_t length; size_t blocks; vector< unsigned > bit, sum; SuccinctIndexableDictionary() = default; SuccinctIndexableDictionary(size_t length) : length(length), blocks((length + 31) >> 5) { bit.assign(blocks, 0U); sum.assign(blocks, 0U); } void set(int k) { bit[k >> 5] |= 1U << (k & 31); } void build() { sum[0] = 0U; for(int i = 1; i < blocks; i++) { sum[i] = sum[i - 1] + __builtin_popcount(bit[i - 1]); } } bool operator[](int k) { return (bool((bit[k >> 5] >> (k & 31)) & 1)); } int rank(int k) { return (sum[k >> 5] + __builtin_popcount(bit[k >> 5] & ((1U << (k & 31)) - 1))); } int rank(bool val, int k) { return (val ? rank(k) : k - rank(k)); } }; template< typename T, int MAXLOG > struct WaveletMatrix { size_t length; SuccinctIndexableDictionary matrix[MAXLOG]; int mid[MAXLOG]; WaveletMatrix() = default; WaveletMatrix(vector< T > v) : length(v.size()) { vector< T > l(length), r(length); for(int level = MAXLOG - 1; level >= 0; level--) { matrix[level] = SuccinctIndexableDictionary(length + 1); int left = 0, right = 0; for(int i = 0; i < length; i++) { if(((v[i] >> level) & 1)) { matrix[level].set(i); r[right++] = v[i]; } else { l[left++] = v[i]; } } mid[level] = left; matrix[level].build(); v.swap(l); for(int i = 0; i < right; i++) { v[left + i] = r[i]; } } } pair< int, int > succ(bool f, int l, int r, int level) { return {matrix[level].rank(f, l) + mid[level] * f, matrix[level].rank(f, r) + mid[level] * f}; } // v[k] T access(int k) { T ret = 0; for(int level = MAXLOG - 1; level >= 0; level--) { bool f = matrix[level][k]; if(f) ret |= T(1) << level; k = matrix[level].rank(f, k) + mid[level] * f; } return ret; } T operator[](const int &k) { return access(k); } // count i s.t. (0 <= i < r) && v[i] == x int rank(const T &x, int r) { int l = 0; for(int level = MAXLOG - 1; level >= 0; level--) { tie(l, r) = succ((x >> level) & 1, l, r, level); } return r - l; } // k-th(0-indexed) smallest number in v[l,r) T kth_smallest(int l, int r, int k) { assert(0 <= k && k < r - l); T ret = 0; for(int level = MAXLOG - 1; level >= 0; level--) { int cnt = matrix[level].rank(false, r) - matrix[level].rank(false, l); bool f = cnt <= k; if(f) { ret |= T(1) << level; k -= cnt; } tie(l, r) = succ(f, l, r, level); } return ret; } // k-th(0-indexed) largest number in v[l,r) T kth_largest(int l, int r, int k) { return kth_smallest(l, r, r - l - k - 1); } // count i s.t. (l <= i < r) && (v[i] < upper) int range_freq(int l, int r, T upper) { int ret = 0; for(int level = MAXLOG - 1; level >= 0; level--) { bool f = ((upper >> level) & 1); if(f) ret += matrix[level].rank(false, r) - matrix[level].rank(false, l); tie(l, r) = succ(f, l, r, level); } return ret; } // count i s.t. (l <= i < r) && (lower <= v[i] < upper) int range_freq(int l, int r, T lower, T upper) { return range_freq(l, r, upper) - range_freq(l, r, lower); } // max v[i] s.t. (l <= i < r) && (v[i] < upper) T prev_value(int l, int r, T upper) { int cnt = range_freq(l, r, upper); return cnt == 0 ? T(-1) : kth_smallest(l, r, cnt - 1); } // min v[i] s.t. (l <= i < r) && (lower <= v[i]) T next_value(int l, int r, T lower) { int cnt = range_freq(l, r, lower); return cnt == r - l ? T(-1) : kth_smallest(l, r, cnt); } }; template< typename T, int MAXLOG > struct CompressedWaveletMatrix { WaveletMatrix< int, MAXLOG > mat; vector< T > ys; CompressedWaveletMatrix(const vector< T > &v) : ys(v) { sort(begin(ys), end(ys)); ys.erase(unique(begin(ys), end(ys)), end(ys)); vector< int > t(v.size()); for(int i = 0; i < v.size(); i++) t[i] = get(v[i]); mat = WaveletMatrix< int, MAXLOG >(t); } inline int get(const T& x) { return lower_bound(begin(ys), end(ys), x) - begin(ys); } T access(int k) { return ys[mat.access(k)]; } T operator[](const int &k) { return access(k); } int rank(const T &x, int r) { auto pos = get(x); if(pos == ys.size() || ys[pos] != x) return 0; return mat.rank(pos, r); } T kth_smallest(int l, int r, int k) { return ys[mat.kth_smallest(l, r, k)]; } T kth_largest(int l, int r, int k) { return ys[mat.kth_largest(l, r, k)]; } int range_freq(int l, int r, T upper) { return mat.range_freq(l, r, get(upper)); } int range_freq(int l, int r, T lower, T upper) { return mat.range_freq(l, r, get(lower), get(upper)); } T prev_value(int l, int r, T upper) { auto ret = mat.prev_value(l, r, get(upper)); return ret == -1 ? T(-1) : ys[ret]; } T next_value(int l, int r, T lower) { auto ret = mat.next_value(l, r, get(lower)); return ret == -1 ? T(-1) : ys[ret]; } }; void solve() { ll a, b; cin >> a >> b; ll num = (a | b); ll ans = 1; for (ll i = 2; i <= num; i++) { ans *= i; } cout << ans << endl; } int main() { ll T=1;//cin>>T; while(T--)solve(); }