#include #include using namespace std; using mint = atcoder::modint1000000007; const int inf = (1 << 30) - 1; /** * @brief Succinct Indexable Dictionary(完備辞書) */ 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)); } }; /* * @brief Wavelet Matrix Rectangle Sum * @docs docs/wavelet-matrix-rectangle-sum.md */ template< typename T, int MAXLOG, typename D > struct WaveletMatrixRectangleSum { size_t length; SuccinctIndexableDictionary matrix[MAXLOG]; vector< D > ds[MAXLOG]; int mid[MAXLOG]; WaveletMatrixRectangleSum() = default; WaveletMatrixRectangleSum(const vector< T > &v, const vector< D > &d) : length(v.size()) { assert(v.size() == d.size()); vector< int > l(length), r(length), ord(length); iota(begin(ord), end(ord), 0); 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[ord[i]] >> level) & 1)) { matrix[level].set(i); r[right++] = ord[i]; } else { l[left++] = ord[i]; } } mid[level] = left; matrix[level].build(); ord.swap(l); for(int i = 0; i < right; i++) { ord[left + i] = r[i]; } ds[level].resize(length + 1); ds[level][0] = D(); for(int i = 0; i < length; i++) { ds[level][i + 1] = ds[level][i] + d[ord[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}; } // count d[i] s.t. (l <= i < r) && (v[i] < upper) D rect_sum(int l, int r, T upper) { D ret = 0; for(int level = MAXLOG - 1; level >= 0; level--) { bool f = ((upper >> level) & 1); if(f) ret += ds[level][matrix[level].rank(false, r)] - ds[level][matrix[level].rank(false, l)]; tie(l, r) = succ(f, l, r, level); } return ret; } D rect_sum(int l, int r, T lower, T upper) { return rect_sum(l, r, upper) - rect_sum(l, r, lower); } }; template< typename T, int MAXLOG, typename D > struct CompressedWaveletMatrixRectangleSum { WaveletMatrixRectangleSum< int, MAXLOG, D > mat; vector< T > ys; CompressedWaveletMatrixRectangleSum(const vector< T > &v, const vector< D > &d) : 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 = WaveletMatrixRectangleSum< int, MAXLOG, D >(t, d); } inline int get(const T &x) { return lower_bound(begin(ys), end(ys), x) - begin(ys); } D rect_sum(int l, int r, T upper) { return mat.rect_sum(l, r, get(upper)); } D rect_sum(int l, int r, T lower, T upper) { return mat.rect_sum(l, r, get(lower), get(upper)); } }; mint solve(const vector< int > &A, const vector< int > &B) { int N = (int) A.size(); mint ret = 0; vector< int > ord(N); iota(begin(ord), end(ord), 0); { sort(begin(ord), end(ord), [&](int a, int b) { return A[a] < A[b]; }); vector< pair< int, int > > pts(N); for(int i = 0; i < N; i++) pts[i] = {A[i] - B[i], A[i] + B[i]}; sort(begin(pts), end(pts)); vector< int > xs(pts.size()), ys(pts.size()), ds(pts.size(), 1); for(int i = 0; i < (int) pts.size(); i++) { tie(xs[i], ys[i]) = pts[i]; } auto bs = CompressedWaveletMatrixRectangleSum< int, 18, int >(ys, ds); for(int i: ord) { { int left = lower_bound(begin(xs), end(xs), A[i] - B[i]) - begin(xs); int right = (int) pts.size(); int pct = bs.rect_sum(0, left, A[i] + B[i]); ret += mint(A[i]) * pct; } } } { reverse(begin(ord), end(ord)); vector< pair< int, int > > pts(N); for(int i = 0; i < N; i++) pts[i] = {-(A[i] + B[i]), -(A[i] - B[i])}; sort(begin(pts), end(pts)); vector< int > xs(pts.size()), ys(pts.size()), ds(pts.size(), 1); for(int i = 0; i < (int) pts.size(); i++) { tie(xs[i], ys[i]) = pts[i]; } auto bs = CompressedWaveletMatrixRectangleSum< int, 18, int >(ys, ds); for(int i: ord) { { int left = lower_bound(begin(xs), end(xs), -(A[i] + B[i])) - begin(xs); int right = (int) pts.size(); int pct = bs.rect_sum(0, left, -(A[i] - B[i])); ret -= mint(A[i]) * pct; } } } return ret * 2; } int main() { cin.tie(nullptr); ios::sync_with_stdio(false); int N; cin >> N; vector< int > A(N), B(N); for(auto &a: A) cin >> a; for(auto &b: B) cin >> b; cout << solve(A, B).val() << " " << solve(B, A).val() << "\n"; }