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#include "graph/graph.hpp"
#ifndef KK2_GRAPH_GRAPH_HPP
#define KK2_GRAPH_GRAPH_HPP 1
#include <cassert>
#include <type_traits>
#include <utility>
#include <vector>
#include "../type_traits/io.hpp"
#include "edge.hpp"
namespace kk2 {
namespace graph {
template <class T, bool is_directed> struct AdjacencyList {
using value_type = T;
using out_edge_type = _Edge<T>;
using out_edges = _Edges<T>;
using adjacency_container = std::vector<out_edges>;
using edge_type = _Edge<T>;
using edge_collection = _Edges<T>;
static constexpr bool directed = is_directed;
static constexpr bool weighted = !std::is_same_v<T, empty>;
static constexpr bool adjacency_list = true;
static constexpr bool adjacency_matrix = false;
static constexpr bool static_graph = false;
adjacency_container data;
edge_collection edges;
AdjacencyList() = default;
AdjacencyList(int n_) : data(n_) {}
// input を使うことが前提
AdjacencyList(int n_, int m_) : data(n_), edges(m_) {}
AdjacencyList(int n_, const edge_collection &edges_) : data(n_), edges(edges_.size()) {
for (auto &&e : edges_) _add_edge<true>(e.from, e.to, e.cost, e.id);
}
inline int num_vertices() const { return data.size(); }
inline int size() const { return data.size(); }
inline int num_edges() const { return edges.size(); }
out_edges &operator[](int k) { return data[k]; }
const out_edges &operator[](int k) const { return data[k]; }
void edge_clear() { *this = AdjacencyList(num_vertices()); }
void add_edge(int from, int to, T cost = T{}) { _add_edge<false>(from, to, cost, num_edges()); }
void add_vertex(int n = 1) { data.insert(data.end(), n, out_edges()); }
template <class IStream, is_istream_t<IStream> * = nullptr>
AdjacencyList &input(IStream &is, bool oneindexed = false) {
for (int i = 0; i < num_edges(); i++) {
int u, v;
T w{};
is >> u >> v;
if constexpr (weighted) is >> w;
if (oneindexed) --u, --v;
_add_edge<true>(u, v, w, i);
}
return *this;
}
template <class OStream, is_ostream_t<OStream> * = nullptr>
void debug_output(OStream &os) const {
os << "[\n";
for (int i = 0; i < num_vertices(); i++) {
os << " " << i << ": [";
for (size_t j = 0; j < data[i].size(); j++) {
if (j) os << ", ";
data[i][j].debug_output(os);
}
os << "]\n";
}
os << "]\n";
}
private:
template <bool update = false> void _add_edge(int from, int to, T cost, int id) {
data[from].emplace_back(to, cost, from, id);
if (!is_directed and from != to) data[to].emplace_back(from, cost, to, id);
if constexpr (update) edges[id] = edge_type(to, cost, from, id);
else edges.emplace_back(to, cost, from, id);
}
public:
AdjacencyList reverse() const {
AdjacencyList res(num_vertices(), num_edges());
for (auto &&e : edges) res._add_edge<true>(e.to, e.from, e.cost, e.id);
return res;
}
};
template <class T, bool is_directed> struct AdjacencyMatrix {
using value_type = T;
using out_edge_type = _pair<T>;
using out_edges = _pairs<T>;
using adjacency_container = std::vector<out_edges>;
using edge_type = _Edge<T>;
using edge_collection = _Edges<T>;
static constexpr bool directed = is_directed;
static constexpr bool weighted = !std::is_same_v<T, empty>;
static constexpr bool adjacency_list = false;
static constexpr bool adjacency_matrix = true;
static constexpr bool static_graph = false;
adjacency_container data;
edge_collection edges;
AdjacencyMatrix() = default;
AdjacencyMatrix(int n_) : data(n_, out_edges(n_)) {}
// input を使うことが前提
AdjacencyMatrix(int n_, int m_) : data(n_, out_edges(n_)), edges(m_) {}
AdjacencyMatrix(int n_, const edge_collection &edges_)
: data(n_, out_edges(n_)),
edges(edges_.size()) {
for (auto &&e : edges_) _add_edge<true>(e.from, e.to, e.cost, e.id);
}
inline int num_vertices() const { return data.size(); }
inline int size() const { return data.size(); }
inline int num_edges() const { return edges.size(); }
out_edges &operator[](int k) { return data[k]; }
const out_edges &operator[](int k) const { return data[k]; }
void edge_clear() { *this = AdjacencyMatrix(num_vertices()); }
void add_edge(int from, int to, T cost = T{}) { _add_edge<false>(from, to, cost, num_edges()); }
void add_vertex(int n = 1) {
int now = num_vertices();
data.resize(now + n);
for (auto &&d : data) d.resize(now + n);
}
template <class IStream, is_istream_t<IStream> * = nullptr>
AdjacencyMatrix &input(IStream &is, bool oneindexed = false) {
for (int i = 0; i < num_edges(); i++) {
int u, v;
T w{};
is >> u >> v;
if constexpr (weighted) is >> w;
if (oneindexed) --u, --v;
_add_edge<true>(u, v, w, i);
}
return *this;
}
template <class OStream, is_ostream_t<OStream> * = nullptr>
void debug_output(OStream &os) const {
os << "[\n";
for (int i = 0; i < num_vertices(); i++) {
os << " " << i << ": [";
for (size_t j = 0; j < data[i].size(); j++) {
if (j) os << ", ";
os << "(" << data[i][j].id << ", " << i << "->" << j;
if constexpr (weighted) os << ": " << data[i][j].cost;
os << ")";
}
os << "]\n";
}
os << "]\n";
}
private:
template <bool update = false> void _add_edge(int from, int to, T cost, int id) {
data[from][to] = out_edge_type(cost, id);
if constexpr (!is_directed) data[to][from] = out_edge_type(cost, id);
if constexpr (update) edges[id] = edge_type(to, cost, from, id);
else edges.emplace_back(to, cost, from, id);
}
public:
AdjacencyMatrix reverse() const {
AdjacencyMatrix res(num_vertices(), num_edges());
for (auto &&e : edges) res._add_edge<true>(e.to, e.from, e.cost, e.id);
return res;
}
};
} // namespace graph
template <typename T> using WAdjList = graph::AdjacencyList<T, false>;
template <typename T> using DWAdjList = graph::AdjacencyList<T, true>;
using AdjList = graph::AdjacencyList<graph::empty, false>;
using DAdjList = graph::AdjacencyList<graph::empty, true>;
template <typename T> using WAdjMat = graph::AdjacencyMatrix<T, false>;
template <typename T> using DWAdjMat = graph::AdjacencyMatrix<T, true>;
using AdjMat = graph::AdjacencyMatrix<graph::empty, false>;
using DAdjMat = graph::AdjacencyMatrix<graph::empty, true>;
} // namespace kk2
#endif // KK2_GRAPH_GRAPH_HPP
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/onlinejudge_verify/documentation/build.py", line 71, in _render_source_code_stat
bundled_code = language.bundle(stat.path, basedir=basedir, options={'include_paths': [basedir]}).decode()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/onlinejudge_verify/languages/cplusplus.py", line 187, in bundle
bundler.update(path)
File "/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/onlinejudge_verify/languages/cplusplus_bundle.py", line 401, in update
self.update(self._resolve(pathlib.Path(included), included_from=path))
File "/opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/onlinejudge_verify/languages/cplusplus_bundle.py", line 312, in update
raise BundleErrorAt(path, i + 1, "#pragma once found in a non-first line")
onlinejudge_verify.languages.cplusplus_bundle.BundleErrorAt: type_traits/io.hpp: line 4: #pragma once found in a non-first line