#include <iostream>
#include <fstream>
#include <vector>
#include <stack>
#include <algorithm>
#include <unordered_map>
#include <set>
#include <deque>
#include <queue>
#include <climits>
#include <string>
#define inf INT_MAX - 1000000
#define Nmax 100001
using namespace std;
int Exercitiu = 7;
ifstream fin;
ofstream fout;
class graf
{
int n, m;
vector<vector<int> > adj;
public:
graf(const int &tip = 0);
// tema bf-df
void BFS(int);
void DFS(int, bool *, int &);
void sortaret(int, bool *, stack<int> &);
void S_BFS();
void S_DFS();
void S_sortaret();
// tema apm
void apm();
void union_apm(int x, int y, int tata[], int rang[]);
int find_apm(int x, int tata[]);
void disjoint();
void dijkstra();
void dijkstra1();
//tema lab 5
void royfloyd();
void darb();
};
graf::graf(const int &tip)
{
switch (tip)
{
case 1:
case 3:
{
int x, y;
fin >> this->n >> this->m;
if (tip == 1)
fin >> x;
this->adj.resize(n + 1);
for (int i = 0; i < this->m; ++i)
{
fin >> x >> y;
this->adj[x].push_back(y);
}
break;
}
case 2:
{
int x, y;
fin >> this->n >> this->m;
this->adj.resize(n + 1);
for (int i = 0; i < this->m; ++i)
{
fin >> x >> y;
this->adj[x].push_back(y);
this->adj[y].push_back(x);
}
break;
}
default:
break;
}
}
void graf::S_BFS()
{
ifstream h;
int start;
h.open("bfs.in", std::ifstream::in);
h >> start >> start >> start;
h.close();
BFS(start);
}
void graf::BFS(int start)
{
int dist[this->n + 1];
for (int i = 1; i <= n; ++i)
dist[i] = -1;
int i = 0;
vector<int> queue;
queue.push_back(start);
dist[start] = 0;
while (i < queue.size())
{
int start = queue[i++];
for (int i = 0; i < this->adj[start].size(); ++i)
if (dist[this->adj[start][i]] == -1)
{
queue.push_back(this->adj[start][i]);
dist[this->adj[start][i]] = dist[start] + 1;
}
}
for (int i = 1; i <= n; ++i)
{
fout << dist[i] << " ";
}
}
void graf::S_DFS()
{
bool visited[this->n + 1];
int cc;
for (int i = 1; i <= this->n; ++i)
visited[i] = false;
cc = 0;
for (int i = 1; i <= this->n; ++i)
if (!visited[i])
{
cc++;
DFS(i, visited, cc);
}
fout << cc;
}
void graf::DFS(int nod, bool visited[], int &cc)
{
visited[nod] = true;
for (int i = 0; i < this->adj[nod].size(); ++i)
if (!visited[this->adj[nod][i]])
DFS(this->adj[nod][i], visited, cc);
}
void graf::S_sortaret()
{
bool visited[this->n + 1];
stack<int> mystack;
int i;
for (i = 1; i <= this->n; ++i)
visited[i] = false;
for (i = 1; i <= this->n; ++i)
if (!visited[i])
sortaret(i, visited, mystack);
while (!mystack.empty())
{
// afisam in postordine invers
fout << mystack.top() << " ";
mystack.pop();
}
}
void graf::sortaret(int nod, bool visited[], stack<int> &mystack)
{
visited[nod] = true;
for (int i = 0; i < this->adj[nod].size(); ++i)
if (!visited[adj[nod][i]])
{
sortaret(adj[nod][i], visited, mystack);
}
// introducem nodurile in postordine (dupa ce ies din stiva) in stiva solutie
mystack.push(nod);
}
int graf::find_apm(int nod, int parents[]) // gasim parintele absolut al lui x
{
while (nod != parents[nod])
{
nod = parents[nod];
find_apm(nod, parents);
}
return nod;
}
void graf::union_apm(int x, int y, int parents[], int rank[]) // union by RANK legam arb mic de cel mare
{
x = find_apm(x, parents); // in x se va memora parintele abs al acestuia
y = find_apm(y, parents); // in y se va memora parintele abs al acestuia
if (rank[x] > rank[y]) // mai mare
parents[y] = x;
else if (rank[x] < rank[y]) // mai mic
parents[x] = y;
else // daca este egal atunci vine conditia de a actualiza rank
{
parents[x] = y;
rank[y] += 1;
}
}
void graf::apm()
{
vector<pair<int, pair<int, int> > > adj_cost; // m.first == costul, m.second.first = x, m.second.second = y;
vector<pair<int, int> > mst;
int n, m, parents[Nmax], rank[Nmax];
int x, y, cost;
fin >> n >> m;
// int parents[this->n+1], rank[this->n+1];
for (int i = 0; i < m; i++)
{
fin >> x >> y >> cost;
adj_cost.push_back(make_pair(cost, make_pair(x, y)));
}
for (int i = 0; i < n; i++) // initializare
{
parents[i] = i; // parintele
rank[i] = 1; // dimensiunea arborelui (cati copii are in total) => initial fiecare nod reprez un arbore form doar din rad
}
cost = 0;
sort(adj_cost.begin(), adj_cost.end()); // sortam adj dupa cost
for (auto muchie : adj_cost)
{
if (find_apm(muchie.second.first, parents) != find_apm(muchie.second.second, parents)) // nodurile au parinti abs dif deci facem union pt ca nu sunt in aceasi comp
{
mst.push_back(muchie.second); // punem muchia in mst
union_apm(muchie.second.first, muchie.second.second, parents, rank); // facem union intre cele 2 noduri
cost += muchie.first; // incrementam costul final
}
}
fout << cost << endl
<< mst.size() << endl;
for (int i = 0; i < mst.size(); i++)
{
fout << mst[i].first << " " << mst[i].second << "\n";
}
}
void graf::disjoint()
{
int n, m;
fin >> n >> m;
int parents[n + 1];
int rank[n + 1];
for (int i = 0; i <= n; ++i)
{
parents[i] = 0;
rank[i] = 1;
}
int op, x, y;
while (fin >> op >> x >> y)
{
if (op == 1) // union by rank
{
while (parents[x] != 0)
x = parents[x]; // la final in x va fi parintele abs al acestuia la fel si in y
while (parents[y] != 0)
y = parents[y];
int rx = rank[x];
int ry = rank[y];
// x=y deci au aceasi parinti abs atunci deja fac parte din aceasi comp deci nu facem nimic
// cazurile sunt pt noduri ce nu sunt deja in aceasi comp si trb facut "union"
// union leaga parinte abs de parinte abs si il leaga pe cel cu intaltimea mai mica la cel cu inaltimea mai mare
if (rx < ry) //
parents[x] = y;
else if (rx > ry)
parents[y] = x;
else // daca rankurile sunt egale deci oricare poate fi parinte si incrementam rank
{
parents[x] = y;
rank[y] += 1;
}
}
else // find + compression
{
int pa_x = x, pa_y = y, aux; // pa_x = parintele absolut al lui x , similar pa_y
while (parents[pa_x] != 0) // gasim parintele abs al lui x
pa_x = parents[pa_x];
while (parents[pa_y] != 0) // gasim parinte abs al lui y
pa_y = parents[pa_y];
if (pa_x == pa_y) // x si y au aceaselasi parinte absolut
fout << "DA\n";
else
fout << "NU\n";
while (x != pa_x) // actualizam parintii absoluti pt actualul x si pt restul nodurilor legat de el
{
aux = parents[x];
parents[x] = pa_x;
x = aux;
}
while (y != pa_y) // actualizam parintii absoluti pt actualul y si pt restul nodurilor legat de el
{
aux = parents[y];
parents[y] = pa_y;
y = aux;
}
}
}
}
void graf::dijkstra()
{
int x, y;
int i;
fin >> this->n >> this->m;
int value[this->n + 1]; // in value se retin distantele de la nodul src la restul
vector<vector<pair<int, int> > > adj;
adj.resize(this->n + 1);
set<pair<int, int> > set_cost_nod; // set_cost_nod retine nodurile inca neprocesate si costul pt a ajunge in ele
// folosim set pt ca atunci cand vom lua un alt nod vrem sa il luam pe cel cu costul minim
// ce se afla la un mom de timp in set_nod_cost, inseamna ca acele noduri nu au fost inca procesate.
for (int i = 0; i < this->m; ++i)
{
int cost;
fin >> x >> y >> cost;
adj[x].push_back(make_pair(y, cost));
}
for (i = 1; i <= this->n; ++i)
{
value[i] = inf; // retine costurile plecand in nod src
}
value[1] = 0;
set_cost_nod.insert(make_pair(0, 1)); // cost 0 pt nodul sursa 1
while (!set_cost_nod.empty())
{
int nod = (*set_cost_nod.begin()).second; // luam nodul curent
set_cost_nod.erase(set_cost_nod.begin()); // pop nod crr si cost
for (int i = 0; i < adj[nod].size(); ++i)
{
int nod_dest = adj[nod][i].first; // nod_dest = este nodul destinatie de la care plecam din nodul crr("nod")
int cost_dest = adj[nod][i].second; // costul muchiei de la nod la nod_dest
if (value[nod] + cost_dest < value[nod_dest]) // value[nod] retine dist de la nodul src(1) la nodul crr (nod)
// adugam costul de la nod crr la nod dest sa vedem daca gasim o cale mai "ieftina" din nodul src(1) la nod dest
{
if (value[nod_dest] != inf)
{
set_cost_nod.erase(set_cost_nod.find(make_pair(value[nod_dest], nod_dest)));
// in cazul in care value[nod_dest] !=inf adica dist din 1 la nod_dest a mai fost actualizata si totusi s-a gasit
// un drum mai scurt, vom scoate valoarea veche din set_nod_cost pt a o reactualiza mai jos in value si pt a face push
// in set la noua valoare pt nod_dest
}
// deci se respecta cond din if
value[nod_dest] = value[nod] + cost_dest; // actualizam noul cost pt nodul dest
set_cost_nod.insert(make_pair(value[nod_dest], nod_dest)); // inseram in set (costul de a ajung din src la nod_dest, nod dest)
// la urmatoarele iteratii se va lua nod_dest ca fiind noul nod crr
}
}
}
for (int i = 2; i <= this->n; ++i)
if (value[i] != inf)
fout << value[i] << " ";
else
fout << 0 << " ";
}
void graf::royfloyd()
{
int dist[101][101];
int i,j,k;
fin>>n;
for (i=1; i<=n; ++i)
for (j=1; j<=n; ++j) //citire
{
fin>>dist[i][j];
if (dist[i][j]==0)
dist[i][j]=inf;
}
for (k=1; k<=n; ++k) // luam pe rand nodurile noi pt a gasi un drum alternativ
for (i=1; i<=n; ++i) // nodul sursa
for (j=1; j<=n; ++j) //nodul dest
{
if(dist[i][k]==inf || dist[k][j]==inf) // nu sunt cunoscute dist
continue;
else if (dist[i][k]+dist[k][j]<dist[i][j]) //gasim un drum alternativ mai scurt
dist[i][j]=dist[i][k]+dist[k][j]; //actualizam
}
for (i=1; i<=n; ++i)
{
for (j=1; j<=n; ++j)
if (dist[i][j]==inf || i==j)
fout<<0<<" ";
else
fout<<dist[i][j]<<" ";
fout<<endl;
}
}
int main()
{
//cout<<"vlad";
switch (Exercitiu)
{
case 1:
{
fin.open("bfs.in", std::ifstream::in);
fout.open("bfs.out", std::ifstream::out);
graf a(1);
a.S_BFS();
fin.close();
fout.close();
break;
}
case 2:
{
fin.open("dfs.in", std::ifstream::in);
fout.open("dfs.out", std::ifstream::out);
graf a(2);
a.S_DFS();
fin.close();
fout.close();
break;
}
case 3:
{
fin.open("sortaret.in", std::fstream::in);
fout.open("sortaret.out", std::fstream::out);
graf a(3);
a.S_sortaret();
fin.close();
fout.close();
break;
}
case 4:
{
fin.open("apm.in", std::fstream::in);
fout.open("apm.out", std::fstream::out);
graf a;
a.apm();
fin.close();
fout.close();
break;
}
case 5:
{
fin.open("disjoint.in", std::fstream::in);
fout.open("disjoint.out", std::fstream::out);
graf a;
a.disjoint();
fin.close();
fout.close();
break;
}
case 6:
{
fin.open("dijkstra.in", std::fstream::in);
fout.open("dijkstra.out", std::fstream::out);
graf a;
a.dijkstra();
fin.close();
fout.close();
break;
}
case 7:
{
fin.open("royfloyd.in",std::fstream::in);
fout.open("royfloyd.out",std::fstream::out);
graf a;
a.royfloyd();
break;
}
default:
break;
}
}