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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
 
// a structure to represent a weighted edge in graph
struct Edge {
    int src, dest, weight;
};
 
// a structure to represent a connected, undirected
// and weighted graph
struct Graph {
    // V-> Number of vertices, E-> Number of edges
    int V, E;
 
    // graph is represented as an array of edges.
    // Since the graph is undirected, the edge
    // from src to dest is also edge from dest
    // to src. Both are counted as 1 edge here.
    struct Edge* edge;
};
 
// Creates a graph with V vertices and E edges
struct Graph* createGraph(int V, int E)
{
    struct Graph* graph = (struct Graph*)(malloc(sizeof(struct Graph)));
    graph->V = V;
    graph->E = E;
 
    graph->edge = (struct Edge*)malloc(sizeof( struct Edge));
 
    return graph;
}
 
// A structure to represent a subset for union-find
struct subset {
    int parent;
    int rank;
};
 
// A utility function to find set of an element i
// (uses path compression technique)
int find(struct subset subsets[], int i)
{
    // find root and make root as parent of i
    // (path compression)
    if (subsets[i].parent != i)
        subsets[i].parent
            = find(subsets, subsets[i].parent);
 
    return subsets[i].parent;
}
 
// A function that does union of two sets of x and y
// (uses union by rank)
void Union(struct subset subsets[], int x, int y)
{
    int xroot = find(subsets, x);
    int yroot = find(subsets, y);
 
    // Attach smaller rank tree under root of high
    // rank tree (Union by Rank)
    if (subsets[xroot].rank < subsets[yroot].rank)
        subsets[xroot].parent = yroot;
    else if (subsets[xroot].rank > subsets[yroot].rank)
        subsets[yroot].parent = xroot;
 
    // If ranks are same, then make one as root and
    // increment its rank by one
    else
    {
        subsets[yroot].parent = xroot;
        subsets[xroot].rank++;
    }
}
 
// Compare two edges according to their weights.
// Used in qsort() for sorting an array of edges
int myComp(const void* a, const void* b)
{
    struct Edge* a1 = (struct Edge*)a;
    struct Edge* b1 = (struct Edge*)b;
    return a1->weight > b1->weight;
}
 
// The main function to construct MST using Kruskal's
// algorithm
void KruskalMST(struct Graph* graph)
{
    int V = graph->V;
    struct Edge
        result[V]; // Tnis will store the resultant MST
    int e = 0; // An index variable, used for result[]
    int i = 0; // An index variable, used for sorted edges
 
    // Step 1: Sort all the edges in non-decreasing
    // order of their weight. If we are not allowed to
    // change the given graph, we can create a copy of
    // array of edges
    qsort(graph->edge, graph->E, sizeof(graph->edge[0]),
        myComp);
 
    // Allocate memory for creating V ssubsets
    struct subset* subsets
        = (struct subset*)malloc(V * sizeof(struct subset));
 
    // Create V subsets with single elements
    for (int v = 0; v < V; ++v) {
        subsets[v].parent = v;
        subsets[v].rank = 0;
    }
 
    // Number of edges to be taken is equal to V-1
    while (e < V - 1 && i < graph->E) {
        // Step 2: Pick the smallest edge. And increment
        // the index for next iteration
        struct Edge next_edge = graph->edge[i++];
 
        int x = find(subsets, next_edge.src);
        int y = find(subsets, next_edge.dest);
 
        // If including this edge does't cause cycle,
        // include it in result and increment the index
        // of result for next edge
        if (x != y) {
            result[e++] = next_edge;
            Union(subsets, x, y);
        }
        // Else discard the next_edge
    }
 
    // print the contents of result[] to display the
    // built MST
    printf(
        "Following are the edges in the constructed MST\n");
    int minimumCost = 0;
    for (i = 0; i < e; ++i)
    {
        printf("%d -- %d == %d\n", result[i].src,
            result[i].dest, result[i].weight);
        minimumCost += result[i].weight;
    }
    printf("Minimum Cost Spanning tree : %d",minimumCost);
    return;
}
 
// Driver program to test above functions
int main()
{
    
    int V = 6; // Number of vertices in graph
    int E = 9; // Number of edges in graph
    struct Graph* graph = createGraph(V, E);

    graph->edge[0].src = 0;
    graph->edge[0].dest = 1;
    graph->edge[0].weight = 4;
 

    graph->edge[1].src = 0;
    graph->edge[1].dest = 2;
    graph->edge[1].weight = 1;
 

    graph->edge[2].src = 0;
    graph->edge[2].dest = 3;
    graph->edge[2].weight = 3;
 

    graph->edge[3].src = 1;
    graph->edge[3].dest = 2;
    graph->edge[3].weight = 4;

    graph->edge[4].src = 1;
    graph->edge[4].dest = 3;
    graph->edge[4].weight = 4;

    graph->edge[5].src = 2;
    graph->edge[5].dest = 3;
    graph->edge[5].weight = 2;

    graph->edge[6].src = 2;
    graph->edge[6].dest = 5;
    graph->edge[6].weight = 4;
 

    graph->edge[7].src = 3;
    graph->edge[7].dest = 5;
    graph->edge[7].weight = 6;

    graph->edge[8].src = 4;
    graph->edge[8].dest = 5;
    graph->edge[8].weight = 5;
 
    KruskalMST(graph);
 
    return 0;
}