This documentation is automatically generated by online-judge-tools/verification-helper
#include "Min_Cost_Flow/Min_Cost_Flow.hpp"#pragma once
#include "../template/template.hpp"
namespace min_cost_flow {
template<class Cap, class Cost>
struct Arc {
int id, source, target;
Cap cap, flow;
Cost cost;
bool direction;
Arc* rev;
Arc(int id, int source, int target, Cap cap, Cap flow, Cost cost, bool direction):
id(id), source(source), target(target), cap(cap), flow(flow), cost(cost), direction(direction), rev(nullptr) {}
inline bool is_flowable() const { return flow < cap; }
inline Cap remain() const { return cap - flow; }
void push(Cap d) {
flow += d;
rev->flow -= d;
}
};
template<class Cap, class Cost>
class Min_Cost_Flow {
public:
Min_Cost_Flow(int n): Min_Cost_Flow(n, 1) {}
// The Rule of Five:
// This class manages raw pointers in `arcs`, so we must define the
// special member functions to handle resource ownership correctly.
// 1. Copy constructor (deleted to prevent shallow copies)
Min_Cost_Flow(const Min_Cost_Flow&) = delete;
// 2. Copy assignment operator (deleted)
Min_Cost_Flow& operator=(const Min_Cost_Flow&) = delete;
// 3. Move constructor (default is sufficient and efficient)
Min_Cost_Flow(Min_Cost_Flow&&) noexcept = default;
// 4. Move assignment operator
Min_Cost_Flow& operator=(Min_Cost_Flow&& other) noexcept {
if (this != &other) {
// Release resources of the destination object
for (auto* arc : arcs) {
delete arc->rev;
delete arc;
}
// Pilfer (move) resources from the source object
n = other.n;
adjacent_out = std::move(other.adjacent_out);
arcs = std::move(other.arcs);
potential = std::move(other.potential);
pre_v = std::move(other.pre_v);
pre_a = std::move(other.pre_a);
dist = std::move(other.dist);
reachable = std::move(other.reachable);
objective = other.objective;
}
return *this;
}
~Min_Cost_Flow() {
for (auto* arc : arcs) {
delete arc->rev;
delete arc;
}
}
inline int order() const { return n; }
inline int size() const { return arcs.size(); }
Arc<Cap, Cost>* add_arc(int u, int v, Cap cap, Cost cost) {
int m = size();
Arc<Cap, Cost>* arc = new Arc<Cap, Cost>(m, u, v, cap, Cap(0), objective * cost, true);
Arc<Cap, Cost>* rev_arc = new Arc<Cap, Cost>(m, v, u, Cap(0), Cap(0), -objective * cost, false);
arc->rev = rev_arc;
rev_arc->rev = arc;
adjacent_out[u].emplace_back(arc);
adjacent_out[v].emplace_back(rev_arc);
arcs.emplace_back(arc);
return arc;
}
// 流量 f を流したときの最小コストを返す
// 流量 f を流せない場合は nullopt
optional<Cost> flow(int source, int target, Cap flow_amount) {
vector<Cost> g = slope(source, target, flow_amount);
// 実際に流せた流量が要求された流量に満たない場合は不可能
if (g.size() - 1 < flow_amount) {
return nullopt;
}
// g[k] は k 単位のフローを流したときの最小コスト
return g[flow_amount];
}
vector<Cost> slope(int source, int target) {
return slope(source, target, -1);
}
// 流量とコストの関係を表す傾きを計算する (Primal-Dual法)
vector<Cost> slope(int source, int target, Cap flow_limit) {
potential.assign(n, Cost(0));
vector<Cost> g{Cost(0)};
while (flow_limit != 0) {
calculate_potential(source);
if (!reachable[target]) {
// これ以上フローを流せる経路がない
break;
}
// ポテンシャルの更新
for (int v = 0; v < n; ++v) {
if (reachable[v]) { // 到達可能な頂点のみ更新
potential[v] += dist[v];
}
}
// 今回流す流量を計算
Cap push_flow = flow_limit;
for (int u = target; u != source; u = pre_v[u]) {
if (flow_limit < 0 && u == target) {
push_flow = pre_a[u]->remain();
} else {
chmin(push_flow, pre_a[u]->remain());
}
}
if (flow_limit >= 0) flow_limit -= push_flow;
// コスト履歴を更新
for (int k = 0; k < push_flow; ++k) {
g.emplace_back(g.back() + objective * potential[target]);
}
// 実際にフローを流す
for (int u = target; u != source; u = pre_v[u]) {
pre_a[u]->push(push_flow);
}
}
return g;
}
vector<Arc<Cap, Cost>> get_flow() const {
vector<Arc<Cap, Cost>> res;
for (const auto* arc : arcs) {
res.push_back(*arc);
}
return res;
}
Arc<Cap, Cost>* get_arc(int j) const { return arcs[j]; }
protected:
Min_Cost_Flow(int n, int objective): n(n), adjacent_out(n), objective(objective) {}
private:
int n;
vector<vector<Arc<Cap, Cost>*>> adjacent_out;
vector<Arc<Cap, Cost>*> arcs;
vector<Cost> potential;
vector<int> pre_v;
vector<Arc<Cap, Cost>*> pre_a;
vector<Cost> dist;
vector<bool> reachable;
int objective;
// ポテンシャルを用いたDijkstra法で最短路を計算
void calculate_potential(int s) {
pre_v.assign(n, -1);
pre_a.assign(n, nullptr);
dist.assign(n, Cost(0));
reachable.assign(n, false);
dist[s] = Cost(0);
reachable[s] = true;
priority_queue<pair<Cost, int>, vector<pair<Cost, int>>, greater<pair<Cost, int>>> Q;
Q.emplace(dist[s], s);
while(!Q.empty()) {
auto [d, v] = Q.top();
Q.pop();
if (d > dist[v]) continue;
for (Arc<Cap, Cost>* arc: adjacent_out[v]) {
int w = arc->target;
// 縮約コスト (reduced cost)
Cost reduced_cost = arc->cost + potential[v] - potential[w];
Cost new_cost = d + reduced_cost;
if (!(arc->remain() > 0 && (!reachable[w] || dist[w] > new_cost))) continue;
dist[w] = new_cost;
reachable[w] = true;
pre_v[w] = v;
pre_a[w] = arc;
Q.emplace(dist[w], w);
}
}
}
};
template <class Cap, class Cost>
class Max_Gain_Flow : public Min_Cost_Flow<Cap, Cost> {
public:
Max_Gain_Flow(int n): Min_Cost_Flow<Cap, Cost>(n, -1) {}
};
}#line 2 "Min_Cost_Flow/Min_Cost_Flow.hpp"
#line 2 "template/template.hpp"
using namespace std;
// intrinstic
#include <immintrin.h>
#include <algorithm>
#include <array>
#include <bitset>
#include <cassert>
#include <cctype>
#include <cfenv>
#include <cfloat>
#include <chrono>
#include <cinttypes>
#include <climits>
#include <cmath>
#include <complex>
#include <concepts>
#include <cstdarg>
#include <cstddef>
#include <cstdint>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <deque>
#include <fstream>
#include <functional>
#include <initializer_list>
#include <iomanip>
#include <ios>
#include <iostream>
#include <istream>
#include <iterator>
#include <limits>
#include <list>
#include <map>
#include <memory>
#include <new>
#include <numeric>
#include <ostream>
#include <optional>
#include <queue>
#include <random>
#include <set>
#include <sstream>
#include <stack>
#include <streambuf>
#include <string>
#include <tuple>
#include <type_traits>
#include <typeinfo>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
// utility
#line 2 "template/utility.hpp"
using ll = long long;
// a ← max(a, b) を実行する. a が更新されたら, 返り値が true.
template<typename T, typename U>
inline bool chmax(T &a, const U b){
return (a < b ? a = b, 1: 0);
}
// a ← min(a, b) を実行する. a が更新されたら, 返り値が true.
template<typename T, typename U>
inline bool chmin(T &a, const U b){
return (a > b ? a = b, 1: 0);
}
// a の最大値を取得する.
template<typename T>
inline T max(const vector<T> &a){
if (a.empty()) throw invalid_argument("vector is empty.");
return *max_element(a.begin(), a.end());
}
// vector<T> a の最小値を取得する.
template<typename T>
inline T min(const vector<T> &a){
if (a.empty()) throw invalid_argument("vector is empty.");
return *min_element(a.begin(), a.end());
}
// vector<T> a の最大値のインデックスを取得する.
template<typename T>
inline size_t argmax(const vector<T> &a){
if (a.empty()) throw std::invalid_argument("vector is empty.");
return distance(a.begin(), max_element(a.begin(), a.end()));
}
// vector<T> a の最小値のインデックスを取得する.
template<typename T>
inline size_t argmin(const vector<T> &a){
if (a.empty()) throw invalid_argument("vector is empty.");
return distance(a.begin(), min_element(a.begin(), a.end()));
}
#line 61 "template/template.hpp"
// math
#line 2 "template/math.hpp"
// 演算子
template<typename T>
T add(const T &x, const T &y) { return x + y; }
template<typename T>
T sub(const T &x, const T &y) { return x - y; }
template<typename T>
T mul(const T &x, const T &y) { return x * y; }
template<typename T>
T neg(const T &x) { return -x; }
template<integral T>
T bitwise_and(const T &x, const T &y) { return x & y; }
template<integral T>
T bitwise_or(const T &x, const T &y) { return x | y; }
template<integral T>
T bitwise_xor(const T &x, const T &y) { return x ^ y; }
// 除算に関する関数
// floor(x / y) を求める.
template<integral T, integral U>
auto div_floor(T x, U y){
return x / y - ((x % y != 0) && ((x < 0) != (y < 0)));
}
// ceil(x / y) を求める.
template<integral T, integral U>
auto div_ceil(T x, U y){
return x / y + ((x % y != 0) && ((x < 0) == (y < 0)));
}
// x を y で割った余りを求める.
template<integral T, integral U>
auto safe_mod(T x, U y){
auto q = div_floor(x, y);
return x - q * y ;
}
// x を y で割った商と余りを求める.
template<integral T, integral U>
auto divmod(T x, U y){
auto q = div_floor(x, y);
return make_pair(q, x - q * y);
}
// 四捨五入を求める.
template<integral T, integral U>
auto round(T x, U y){
auto [q, r] = divmod(x, y);
if (y < 0) return (r <= div_floor(y, 2)) ? q + 1 : q;
return (r >= div_ceil(y, 2)) ? q + 1 : q;
}
// 奇数かどうか判定する.
template<integral T>
bool is_odd(const T &x) { return x % 2 != 0; }
// 偶数かどうか判定する.
template<integral T>
bool is_even(const T &x) { return x % 2 == 0; }
// m の倍数かどうか判定する.
template<integral T, integral U>
bool is_multiple(const T &x, const U &m) { return x % m == 0; }
// 正かどうか判定する.
template<typename T>
bool is_positive(const T &x) { return x > 0; }
// 負かどうか判定する.
template<typename T>
bool is_negative(const T &x) { return x < 0; }
// ゼロかどうか判定する.
template<typename T>
bool is_zero(const T &x) { return x == 0; }
// 非負かどうか判定する.
template<typename T>
bool is_non_negative(const T &x) { return x >= 0; }
// 非正かどうか判定する.
template<typename T>
bool is_non_positive(const T &x) { return x <= 0; }
// 指数に関する関数
// x の y 乗を求める.
ll intpow(ll x, ll y){
ll a = 1;
while (y){
if (y & 1) { a *= x; }
x *= x;
y >>= 1;
}
return a;
}
// x の y 乗を z で割った余りを求める.
template<typename T, integral U>
T modpow(T x, U y, T z) {
T a = 1;
while (y) {
if (y & 1) { (a *= x) %= z; }
(x *= x) %= z;
y >>= 1;
}
return a;
}
template<typename T>
T sum(const vector<T> &X) {
T y = T(0);
for (auto &&x: X) { y += x; }
return y;
}
template<typename T>
T gcd(const T x, const T y) {
return y == 0 ? x : gcd(y, x % y);
}
// a x + b y = gcd(a, b) を満たす整数の組 (a, b) に対して, (x, y, gcd(a, b)) を求める.
template<integral T>
tuple<T, T, T> Extended_Euclid(T a, T b) {
T s = 1, t = 0, u = 0, v = 1;
while (b) {
auto [q, r] = divmod(a, b);
a = b;
b = r;
tie(s, t) = make_pair(t, s - q * t);
tie(u, v) = make_pair(v, u - q * v);
}
return make_tuple(s, u, a);
}
// floor(sqrt(N)) を求める (N < 0 のときは, 0 とする).
ll isqrt(const ll &N) {
if (N <= 0) { return 0; }
ll x = sqrtl(N);
while ((x + 1) * (x + 1) <= N) { x++; }
while (x * x > N) { x--; }
return x;
}
// floor(sqrt(N)) を求める (N < 0 のときは, 0 とする).
ll floor_sqrt(const ll &N) { return isqrt(N); }
// ceil(sqrt(N)) を求める (N < 0 のときは, 0 とする).
ll ceil_sqrt(const ll &N) {
ll x = isqrt(N);
return x * x == N ? x : x + 1;
}
#line 64 "template/template.hpp"
// inout
#line 1 "template/inout.hpp"
// 入出力
template<class... T>
void input(T&... a){ (cin >> ... >> a); }
void print(){ cout << "\n"; }
template<class T, class... Ts>
void print(const T& a, const Ts&... b){
cout << a;
(cout << ... << (cout << " ", b));
cout << "\n";
}
template<typename T, typename U>
istream &operator>>(istream &is, pair<T, U> &P){
is >> P.first >> P.second;
return is;
}
template<typename T, typename U>
ostream &operator<<(ostream &os, const pair<T, U> &P){
os << P.first << " " << P.second;
return os;
}
template<typename T>
vector<T> vector_input(int N, int index){
vector<T> X(N+index);
for (int i=index; i<index+N; i++) cin >> X[i];
return X;
}
template<typename T>
istream &operator>>(istream &is, vector<T> &X){
for (auto &x: X) { is >> x; }
return is;
}
template<typename T>
ostream &operator<<(ostream &os, const vector<T> &X){
int s = (int)X.size();
for (int i = 0; i < s; i++) { os << (i ? " " : "") << X[i]; }
return os;
}
template<typename T>
ostream &operator<<(ostream &os, const unordered_set<T> &S){
int i = 0;
for (T a: S) {os << (i ? " ": "") << a; i++;}
return os;
}
template<typename T>
ostream &operator<<(ostream &os, const set<T> &S){
int i = 0;
for (T a: S) { os << (i ? " ": "") << a; i++; }
return os;
}
template<typename T>
ostream &operator<<(ostream &os, const unordered_multiset<T> &S){
int i = 0;
for (T a: S) { os << (i ? " ": "") << a; i++; }
return os;
}
template<typename T>
ostream &operator<<(ostream &os, const multiset<T> &S){
int i = 0;
for (T a: S) { os << (i ? " ": "") << a; i++; }
return os;
}
template<typename T>
std::vector<T> input_vector(size_t n, size_t offset = 0) {
std::vector<T> res;
// 最初に必要な全容量を確保(再確保を防ぐ)
res.reserve(n + offset);
// offset 分をデフォルト値で埋める(特別 indexed 用)
res.assign(offset, T());
for (size_t i = 0; i < n; ++i) {
T el;
if (!(std::cin >> el)) break;
res.push_back(std::move(el));
}
return res;
}
#line 67 "template/template.hpp"
// macro
#line 2 "template/macro.hpp"
// マクロの定義
#define all(x) x.begin(), x.end()
#define len(x) ll(x.size())
#define elif else if
#define unless(cond) if (!(cond))
#define until(cond) while (!(cond))
#define loop while (true)
// オーバーロードマクロ
#define overload2(_1, _2, name, ...) name
#define overload3(_1, _2, _3, name, ...) name
#define overload4(_1, _2, _3, _4, name, ...) name
#define overload5(_1, _2, _3, _4, _5, name, ...) name
// 繰り返し系
#define rep1(n) for (ll i = 0; i < n; i++)
#define rep2(i, n) for (ll i = 0; i < n; i++)
#define rep3(i, a, b) for (ll i = a; i < b; i++)
#define rep4(i, a, b, c) for (ll i = a; i < b; i += c)
#define rep(...) overload4(__VA_ARGS__, rep4, rep3, rep2, rep1)(__VA_ARGS__)
#define foreach1(x, a) for (auto &&x: a)
#define foreach2(x, y, a) for (auto &&[x, y]: a)
#define foreach3(x, y, z, a) for (auto &&[x, y, z]: a)
#define foreach4(x, y, z, w, a) for (auto &&[x, y, z, w]: a)
#define foreach(...) overload5(__VA_ARGS__, foreach4, foreach3, foreach2, foreach1)(__VA_ARGS__)
#line 70 "template/template.hpp"
// bitop
#line 2 "template/bitop.hpp"
// 非負整数 x の bit legnth を求める.
ll bit_length(ll x) {
if (x == 0) { return 0; }
return (sizeof(long) * CHAR_BIT) - __builtin_clzll(x);
}
// 非負整数 x の popcount を求める.
ll popcount(ll x) { return __builtin_popcountll(x); }
// 正の整数 x に対して, floor(log2(x)) を求める.
ll floor_log2(ll x) { return bit_length(x) - 1; }
// 正の整数 x に対して, ceil(log2(x)) を求める.
ll ceil_log2(ll x) { return bit_length(x - 1); }
// x の第 k ビットを取得する
int get_bit(ll x, int k) { return (x >> k) & 1; }
// x のビット列を取得する.
// k はビット列の長さとする.
vector<int> get_bits(ll x, int k) {
vector<int> bits(k);
rep(i, k) {
bits[i] = x & 1;
x >>= 1;
}
return bits;
}
// x のビット列を取得する.
vector<int> get_bits(ll x) { return get_bits(x, bit_length(x)); }
#line 73 "template/template.hpp"
// exception
#line 2 "template/exception.hpp"
class NotExist: public exception {
private:
string message;
public:
NotExist() : message("求めようとしていたものは存在しません.") {}
const char* what() const noexcept override {
return message.c_str();
}
};
#line 4 "Min_Cost_Flow/Min_Cost_Flow.hpp"
namespace min_cost_flow {
template<class Cap, class Cost>
struct Arc {
int id, source, target;
Cap cap, flow;
Cost cost;
bool direction;
Arc* rev;
Arc(int id, int source, int target, Cap cap, Cap flow, Cost cost, bool direction):
id(id), source(source), target(target), cap(cap), flow(flow), cost(cost), direction(direction), rev(nullptr) {}
inline bool is_flowable() const { return flow < cap; }
inline Cap remain() const { return cap - flow; }
void push(Cap d) {
flow += d;
rev->flow -= d;
}
};
template<class Cap, class Cost>
class Min_Cost_Flow {
public:
Min_Cost_Flow(int n): Min_Cost_Flow(n, 1) {}
// The Rule of Five:
// This class manages raw pointers in `arcs`, so we must define the
// special member functions to handle resource ownership correctly.
// 1. Copy constructor (deleted to prevent shallow copies)
Min_Cost_Flow(const Min_Cost_Flow&) = delete;
// 2. Copy assignment operator (deleted)
Min_Cost_Flow& operator=(const Min_Cost_Flow&) = delete;
// 3. Move constructor (default is sufficient and efficient)
Min_Cost_Flow(Min_Cost_Flow&&) noexcept = default;
// 4. Move assignment operator
Min_Cost_Flow& operator=(Min_Cost_Flow&& other) noexcept {
if (this != &other) {
// Release resources of the destination object
for (auto* arc : arcs) {
delete arc->rev;
delete arc;
}
// Pilfer (move) resources from the source object
n = other.n;
adjacent_out = std::move(other.adjacent_out);
arcs = std::move(other.arcs);
potential = std::move(other.potential);
pre_v = std::move(other.pre_v);
pre_a = std::move(other.pre_a);
dist = std::move(other.dist);
reachable = std::move(other.reachable);
objective = other.objective;
}
return *this;
}
~Min_Cost_Flow() {
for (auto* arc : arcs) {
delete arc->rev;
delete arc;
}
}
inline int order() const { return n; }
inline int size() const { return arcs.size(); }
Arc<Cap, Cost>* add_arc(int u, int v, Cap cap, Cost cost) {
int m = size();
Arc<Cap, Cost>* arc = new Arc<Cap, Cost>(m, u, v, cap, Cap(0), objective * cost, true);
Arc<Cap, Cost>* rev_arc = new Arc<Cap, Cost>(m, v, u, Cap(0), Cap(0), -objective * cost, false);
arc->rev = rev_arc;
rev_arc->rev = arc;
adjacent_out[u].emplace_back(arc);
adjacent_out[v].emplace_back(rev_arc);
arcs.emplace_back(arc);
return arc;
}
// 流量 f を流したときの最小コストを返す
// 流量 f を流せない場合は nullopt
optional<Cost> flow(int source, int target, Cap flow_amount) {
vector<Cost> g = slope(source, target, flow_amount);
// 実際に流せた流量が要求された流量に満たない場合は不可能
if (g.size() - 1 < flow_amount) {
return nullopt;
}
// g[k] は k 単位のフローを流したときの最小コスト
return g[flow_amount];
}
vector<Cost> slope(int source, int target) {
return slope(source, target, -1);
}
// 流量とコストの関係を表す傾きを計算する (Primal-Dual法)
vector<Cost> slope(int source, int target, Cap flow_limit) {
potential.assign(n, Cost(0));
vector<Cost> g{Cost(0)};
while (flow_limit != 0) {
calculate_potential(source);
if (!reachable[target]) {
// これ以上フローを流せる経路がない
break;
}
// ポテンシャルの更新
for (int v = 0; v < n; ++v) {
if (reachable[v]) { // 到達可能な頂点のみ更新
potential[v] += dist[v];
}
}
// 今回流す流量を計算
Cap push_flow = flow_limit;
for (int u = target; u != source; u = pre_v[u]) {
if (flow_limit < 0 && u == target) {
push_flow = pre_a[u]->remain();
} else {
chmin(push_flow, pre_a[u]->remain());
}
}
if (flow_limit >= 0) flow_limit -= push_flow;
// コスト履歴を更新
for (int k = 0; k < push_flow; ++k) {
g.emplace_back(g.back() + objective * potential[target]);
}
// 実際にフローを流す
for (int u = target; u != source; u = pre_v[u]) {
pre_a[u]->push(push_flow);
}
}
return g;
}
vector<Arc<Cap, Cost>> get_flow() const {
vector<Arc<Cap, Cost>> res;
for (const auto* arc : arcs) {
res.push_back(*arc);
}
return res;
}
Arc<Cap, Cost>* get_arc(int j) const { return arcs[j]; }
protected:
Min_Cost_Flow(int n, int objective): n(n), adjacent_out(n), objective(objective) {}
private:
int n;
vector<vector<Arc<Cap, Cost>*>> adjacent_out;
vector<Arc<Cap, Cost>*> arcs;
vector<Cost> potential;
vector<int> pre_v;
vector<Arc<Cap, Cost>*> pre_a;
vector<Cost> dist;
vector<bool> reachable;
int objective;
// ポテンシャルを用いたDijkstra法で最短路を計算
void calculate_potential(int s) {
pre_v.assign(n, -1);
pre_a.assign(n, nullptr);
dist.assign(n, Cost(0));
reachable.assign(n, false);
dist[s] = Cost(0);
reachable[s] = true;
priority_queue<pair<Cost, int>, vector<pair<Cost, int>>, greater<pair<Cost, int>>> Q;
Q.emplace(dist[s], s);
while(!Q.empty()) {
auto [d, v] = Q.top();
Q.pop();
if (d > dist[v]) continue;
for (Arc<Cap, Cost>* arc: adjacent_out[v]) {
int w = arc->target;
// 縮約コスト (reduced cost)
Cost reduced_cost = arc->cost + potential[v] - potential[w];
Cost new_cost = d + reduced_cost;
if (!(arc->remain() > 0 && (!reachable[w] || dist[w] > new_cost))) continue;
dist[w] = new_cost;
reachable[w] = true;
pre_v[w] = v;
pre_a[w] = arc;
Q.emplace(dist[w], w);
}
}
}
};
template <class Cap, class Cost>
class Max_Gain_Flow : public Min_Cost_Flow<Cap, Cost> {
public:
Max_Gain_Flow(int n): Min_Cost_Flow<Cap, Cost>(n, -1) {}
};
}