This documentation is automatically generated by online-judge-tools/verification-helper
#include "Library/unauthenticated/AuxiliaryTree.hpp"#include "../Tree/Tree.hpp"
#include "EulerTour.hpp"
#include "../Tree/LowestCommonAncestor.hpp"
template<typename WeightType>
class AuxiliaryTree{
public:
AuxiliaryTree(RootedTree<WeightType> &tree) :
T(tree), lca_(tree), et_(tree), edge_cum_(CalculateTreeCumlativeSum(tree)){
}
void Set(const vector<Vertex> &vertex_set){
auxiliary_tree_vertex_set_ = vertex_set;
auxiliary_tree_size_ = auxiliary_tree_vertex_set_.size();
sort(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end(), [&](int i, int j){
return et_.get_in(i) < et_.get_in(j);
});
for(int i = 0; i < auxiliary_tree_size_ - 1; ++i){
auxiliary_tree_vertex_set_.push_back(lca_.Query(auxiliary_tree_vertex_set_[i], auxiliary_tree_vertex_set_[i + 1]));
}
sort(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end(), [&](int i, int j){
return et_.get_in(i) < et_.get_in(j);
});
auxiliary_tree_vertex_set_.erase(unique(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end()), auxiliary_tree_vertex_set_.end());
auxiliary_tree_size_ = auxiliary_tree_vertex_set_.size();
}
RootedTree<WeightType> Build(){
RootedTree<WeightType> ret(auxiliary_tree_size_);
stack<Vertex> st, idx;
st.push(auxiliary_tree_vertex_set_.front());
idx.push(0);
for(int i = 1; i < auxiliary_tree_size_; ++i){
while(et_.get_out(st.top()) < et_.get_in(auxiliary_tree_vertex_set_[i])) st.pop(), idx.pop();
if(st.size()){
WeightType cost = edge_cum_[auxiliary_tree_vertex_set_[i]] - edge_cum_[st.top()];
ret.AddEdge(idx.top(), i, cost);
}
st.push(auxiliary_tree_vertex_set_[i]);
idx.push(i);
}
return ret;
}
template<typename Type>
vector<Type> ConvertData(const vector<Type> &data) const {
vector<Type> ret(auxiliary_tree_size_);
for(int i = 0; i < auxiliary_tree_size_; ++i){
ret[i] = data[auxiliary_tree_vertex_set_[i]];
}
return ret;
}
private:
RootedTree<WeightType> &T;
LowestCommonAncestor<WeightType> lca_;
EulerTour<WeightType> et_;
vector<WeightType> edge_cum_;
vector<Vertex> auxiliary_tree_vertex_set_;
size_t auxiliary_tree_size_;
vector<Vertex> convert_to_;
};#line 2 "Library/Tree/Tree.hpp"
#line 2 "Library/Graph/Graph.hpp"
#line 2 "Library/Common.hpp"
/**
* @file Common.hpp
*/
#include <algorithm>
#include <array>
#include <bitset>
#include <cassert>
#include <cstdint>
#include <deque>
#include <functional>
#include <iomanip>
#include <iostream>
#include <limits>
#include <map>
#include <numeric>
#include <queue>
#include <set>
#include <stack>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
using namespace std;
using ll = int64_t;
using ull = uint64_t;
constexpr const ll INF = (1LL << 62) - (3LL << 30) - 1;
#line 4 "Library/Graph/Graph.hpp"
using Vertex = int;
template<typename WeightType = int32_t>
struct Edge{
public:
Edge() = default;
Edge(Vertex from_, Vertex to_, WeightType weight_ = 1, int idx_ = -1) :
from(from_), to(to_), cost(weight_), idx(idx_){}
bool operator<(const Edge<WeightType> &e) const {return cost < e.cost;}
operator int() const {return to;}
Vertex from, to;
WeightType cost;
int idx;
};
template<typename WeightType = int32_t>
class Graph{
public:
Graph() = default;
Graph(int V) : edge_size_(0), adjacent_list_(V){}
inline void AddUndirectedEdge(Vertex u, Vertex v, WeightType w = 1){
int idx = edge_size_++;
adjacent_list_[u].push_back(Edge<WeightType>(u, v, w, idx));
adjacent_list_[v].push_back(Edge<WeightType>(v, u, w, idx));
}
inline void AddDirectedEdge(Vertex u, Vertex v, WeightType w = 1){
int idx = edge_size_++;
adjacent_list_[u].push_back(Edge<WeightType>(u, v, w, idx));
}
inline size_t VertexSize() const {
return adjacent_list_.size();
}
inline size_t EdgeSize() const {
return edge_size_;
}
inline vector<Edge<WeightType>> &operator[](const Vertex v){
return adjacent_list_[v];
}
inline const vector<Edge<WeightType>> &operator[](const Vertex v) const {
return adjacent_list_[v];
}
private:
size_t edge_size_;
vector<vector<Edge<WeightType>>> adjacent_list_;
};
template<typename WeightType = int32_t>
Graph<WeightType> InputGraph(int N, int M, int padding = -1, bool weighted = false, bool directed = false){
Graph<WeightType> G(N);
for(int i = 0; i < M; ++i){
Vertex u, v; WeightType w = 1;
cin >> u >> v, u += padding, v += padding;
if(weighted) cin >> w;
if(directed) G.AddDirectedEdge(u, v, w);
else G.AddUndirectedEdge(u, v, w);
}
return G;
}
#line 4 "Library/Tree/Tree.hpp"
template<typename WeightType = int32_t>
Graph<WeightType> InputTree(int V, int padding = -1, bool weighted = false){
Graph<WeightType> G(V);
for(int i = 0; i < V - 1; ++i){
Vertex u, v; WeightType w = 1;
cin >> u >> v, u += padding, v += padding;
if(weighted) cin >> w;
G.AddUndirectedEdge(u, v, w);
}
return G;
}
template<typename WeightType = int32_t>
Graph<WeightType> InputRootedTreeChild(int V, int padding = -1){
Graph<WeightType> G(V);
for(Vertex u = 0; u < V; ++u){
int k; cin >> k;
for(int i = 0; i < k; ++i){
Vertex v; cin >> v, v += padding;
G.AddUndirectedEdge(u, v);
}
}
return G;
}
template<typename WeightType = int32_t>
Graph<WeightType> InputRootedTreeParent(int V, int padding = -1){
Graph<WeightType> G(V);
for(Vertex u = 1; u < V; ++u){
Vertex v; cin >> v, v += padding;
G.AddUndirectedEdge(u, v);
}
return G;
}
template<typename WeightType = int32_t>
vector<vector<Vertex>> RootedTreeAdjacentList(const Graph<WeightType> &T, const Vertex r = 0){
int V = T.VertexSize();
vector<vector<Vertex>> ret(V);
auto rec = [&](auto &self, Vertex u, Vertex p) -> void {
for(Vertex v : T[u]){
if(v == p) continue;
ret[u].push_back(v);
self(self, v, u);
}
};
rec(rec, r, -1);
return ret;
}
template<typename WeightType>
vector<Vertex> CalculateTreeParent(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<Vertex> ret(V, -1);
auto rec = [&](auto &self, Vertex u) -> void {
for(Vertex v : T[u]){
if(v == ret[u]) continue;
ret[v] = u;
self(self, v);
}
};
rec(rec, r);
return ret;
}
template<typename WeightType>
vector<WeightType> CalculateTreeCost(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<WeightType> ret(V);
auto rec = [&](auto &self, Vertex u, Vertex p) -> void {
for(const Edge<WeightType> &e : T[u]){
Vertex v = e.to;
if(v == p) continue;
ret[v] = e.cost;
self(self, v, u);
}
};
rec(rec, r, -1);
return ret;
}
template<typename WeightType>
vector<int> CalculateTreeDepth(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<int> ret(V, 0);
auto rec = [&](auto &self, Vertex u, Vertex p, int d) -> void {
ret[u] = d;
for(Vertex v : T[u]){
if(v == p) continue;
self(self, v, u, d + 1);
}
};
rec(rec, r, -1, 0);
return ret;
}
template<typename WeightType>
vector<WeightType> CalculateTreeDistance(Graph<WeightType> &T, Vertex r = 0){
int V = T.VertexSize();
vector<WeightType> ret(V, WeightType(INF));
auto rec = [&](auto &self, Vertex u) -> void {
for(const Edge<WeightType> &e : T[u]){
if(ret[e.to] > ret[u] + e.cost){
ret[e.to] = ret[u] + e.cost;
self(self, e.to);
}
}
};
ret[r] = 0;
rec(rec, r);
return ret;
}
template<typename WeightType>
vector<int> CalculateSubtreeSize(Graph<WeightType> &tree, Vertex r = 0){
int V = tree.VertexSize();
vector<int> ret(V, 1);
auto rec = [&](auto self, Vertex u, Vertex p) -> int {
for(const int v : tree[u]){
if(v == p) continue;
ret[u] += self(self, v, u);
}
return ret[u];
};
rec(rec, r, -1);
return ret;
}
#line 2 "Library/unauthenticated/EulerTour.hpp"
#line 5 "Library/unauthenticated/EulerTour.hpp"
template<typename WeightType>
class EulerTour{
public:
using F = function<WeightType(CostType)>;
EulerTour(){}
EulerTour(RootedTree<WeightType> &T, bool one_index = false) :
T(T),
vertex_size_(T.get_vertex_size()),
in_time_(T.get_vertex_size()),
out_time_(T.get_vertex_size()),
one_index_(one_index){
dfs(T.get_root());
}
int GetIn(const Vertex v) const {
return in_time_.at(v - one_index_);
}
int GetOut(const Vertex v) const {
return out_time_.at(v - one_index_);
}
pair<int, int> GetPair(const Vertex v) const {
return make_pair(in_time_.at(v - one_index_), out_time_.at(v - one_index_));
}
template<typename Type>
vector<Type> ConvertVector(const vector<Type> &value, const F in_converter, const F out_converter){
vector<Type> ret(2 * vertex_size_);
for(int i = 0; i < vertex_size_; ++i){
int in_idx = in_time_.at(i), out_idx = out_time_.at(i);
ret[in_idx] = in_converter(value.at(i));
ret[out_idx] = out_converter(value.at(i));
}
return ret;
}
private:
int time_{0}, one_index_, vertex_size_;
RootedTree<WeightType> &T;
vector<int> in_time_, out_time_;
void dfs(Vertex v){
in_time_[v] = time_++;
for(Vertex c : T.get_child(v)){
dfs(c);
}
out_time_[v] = time_++;
}
};
#line 2 "Library/Tree/LowestCommonAncestor.hpp"
#line 4 "Library/Tree/LowestCommonAncestor.hpp"
template<typename WeightType>
struct LowestCommonAncestor{
public:
LowestCommonAncestor(Graph<WeightType> &tree) : T(tree), depth_(CalculateTreeDepth(tree)){
int V = T.VertexSize();
height_ = 1;
while((1 << height_) < V) ++height_;
auto par = CalculateTreeParent(T);
parent_.resize(height_, vector<Vertex>(V, -1));
for(Vertex i = 0; i < V; ++i){
parent_[0][i] = par[i];
}
for(int k = 0; k + 1 < height_; ++k){
for(Vertex i = 0; i < V; ++i){
if(parent_[k][i] < 0) parent_[k + 1][i] = -1;
else parent_[k + 1][i] = parent_[k][parent_[k][i]];
}
}
}
Vertex Query(Vertex u, Vertex v){
if(depth_[u] < depth_[v]) swap(u, v);
for(int k = 0; k < height_; ++k){
if((depth_[u] - depth_[v]) >> k & 1){
u = parent_[k][u];
}
}
if(u == v) return u;
for(int k = height_ - 1; k >= 0; --k){
if(parent_[k][u] != parent_[k][v]){
u = parent_[k][u];
v = parent_[k][v];
}
}
return parent_[0][u];
}
private:
Graph<WeightType> &T;
int height_;
vector<int> depth_;
vector<vector<Vertex>> parent_;
};
#line 4 "Library/unauthenticated/AuxiliaryTree.hpp"
template<typename WeightType>
class AuxiliaryTree{
public:
AuxiliaryTree(RootedTree<WeightType> &tree) :
T(tree), lca_(tree), et_(tree), edge_cum_(CalculateTreeCumlativeSum(tree)){
}
void Set(const vector<Vertex> &vertex_set){
auxiliary_tree_vertex_set_ = vertex_set;
auxiliary_tree_size_ = auxiliary_tree_vertex_set_.size();
sort(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end(), [&](int i, int j){
return et_.get_in(i) < et_.get_in(j);
});
for(int i = 0; i < auxiliary_tree_size_ - 1; ++i){
auxiliary_tree_vertex_set_.push_back(lca_.Query(auxiliary_tree_vertex_set_[i], auxiliary_tree_vertex_set_[i + 1]));
}
sort(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end(), [&](int i, int j){
return et_.get_in(i) < et_.get_in(j);
});
auxiliary_tree_vertex_set_.erase(unique(auxiliary_tree_vertex_set_.begin(), auxiliary_tree_vertex_set_.end()), auxiliary_tree_vertex_set_.end());
auxiliary_tree_size_ = auxiliary_tree_vertex_set_.size();
}
RootedTree<WeightType> Build(){
RootedTree<WeightType> ret(auxiliary_tree_size_);
stack<Vertex> st, idx;
st.push(auxiliary_tree_vertex_set_.front());
idx.push(0);
for(int i = 1; i < auxiliary_tree_size_; ++i){
while(et_.get_out(st.top()) < et_.get_in(auxiliary_tree_vertex_set_[i])) st.pop(), idx.pop();
if(st.size()){
WeightType cost = edge_cum_[auxiliary_tree_vertex_set_[i]] - edge_cum_[st.top()];
ret.AddEdge(idx.top(), i, cost);
}
st.push(auxiliary_tree_vertex_set_[i]);
idx.push(i);
}
return ret;
}
template<typename Type>
vector<Type> ConvertData(const vector<Type> &data) const {
vector<Type> ret(auxiliary_tree_size_);
for(int i = 0; i < auxiliary_tree_size_; ++i){
ret[i] = data[auxiliary_tree_vertex_set_[i]];
}
return ret;
}
private:
RootedTree<WeightType> &T;
LowestCommonAncestor<WeightType> lca_;
EulerTour<WeightType> et_;
vector<WeightType> edge_cum_;
vector<Vertex> auxiliary_tree_vertex_set_;
size_t auxiliary_tree_size_;
vector<Vertex> convert_to_;
};