|
| 1 | +/* |
| 2 | + Just 3 main steps|| dfs || connected graph || check adjList |
| 3 | +a) Intuition |
| 4 | + 1. Get the number of connected graphs. |
| 5 | + 2. For each connected graph, each element should be present in other's adjacency list. |
| 6 | + 3. If the 2nd step becomes correct, increment count by 1. |
| 7 | +b) Approach |
| 8 | + 1. Make the adjacency list using map. |
| 9 | + 2. dfs approach to get the list of connected nodes. |
| 10 | + 3. Check whether each node has edges to other in the connected graph. |
| 11 | + -->take the adjency list and add itself to its adjency list. |
| 12 | + -->If adjency list == connectedNode list (for each node in the connected graph), count it. |
| 13 | + |
| 14 | +*/ |
| 15 | + |
| 16 | +class Solution { |
| 17 | + List<Integer> dfs(List<Integer>list,Map<Integer,List<Integer>>map,int key,int[] vis){ |
| 18 | + //visted again means traversal completed for a given connected chunk of nodes |
| 19 | + if(vis[key]==1)return list; |
| 20 | + //mark node as visted |
| 21 | + vis[key]=1; |
| 22 | + //store list in new list |
| 23 | + List<Integer>li=new ArrayList<>(list); |
| 24 | + li.add(key); |
| 25 | + for(int i=0;i<map.get(key).size();i++){ |
| 26 | + //dfs call for each not visited adjacent node |
| 27 | + int adjNode=map.get(key).get(i); |
| 28 | + if(vis[adjNode]==0)li=dfs(li,map,adjNode,vis); |
| 29 | + } |
| 30 | + return li; |
| 31 | + } |
| 32 | + int conn(List<Integer>list,Map<Integer,List<Integer>>adjList){ |
| 33 | + int cnt=0; |
| 34 | + for(Integer i:list){ |
| 35 | + //if a node can visit to all other node |
| 36 | + //means adj list just lack itself |
| 37 | + //if we add it to its own adjacency list, |
| 38 | + //adj will be equal to list. |
| 39 | + List<Integer>adj=new ArrayList<>(adjList.get(i)); |
| 40 | + adj.add(i); |
| 41 | + Collections.sort(adj); |
| 42 | + if(list.equals(adj))cnt++; |
| 43 | + } |
| 44 | + return cnt==list.size()?1:0; |
| 45 | + } |
| 46 | + public int countCompleteComponents(int n, int[][] edges) { |
| 47 | + //make adjacency list using map |
| 48 | + Map<Integer,List<Integer>>map=new HashMap<>(); |
| 49 | + for(int i=0;i<edges.length;i++){ |
| 50 | + //undirected graph so, store both nodes in each other |
| 51 | + map.putIfAbsent(edges[i][0],new ArrayList<>()); |
| 52 | + map.get(edges[i][0]).add(edges[i][1]); |
| 53 | + map.putIfAbsent(edges[i][1],new ArrayList<>()); |
| 54 | + map.get(edges[i][1]).add(edges[i][0]); |
| 55 | + } |
| 56 | + |
| 57 | + for(int i=0;i<n;i++){ |
| 58 | + //empty adjacency list for single nodes |
| 59 | + map.putIfAbsent(i,new ArrayList<>()); |
| 60 | + } |
| 61 | + int[] vis=new int[map.size()]; |
| 62 | + int sum=0; |
| 63 | + for(Map.Entry<Integer,List<Integer>>m:map.entrySet()){ |
| 64 | + if(vis[m.getKey()]==0){ |
| 65 | + List<Integer>list=new ArrayList<>(); |
| 66 | + //get the list of connected nodes |
| 67 | + list=dfs(list,map,m.getKey(),vis); |
| 68 | + |
| 69 | + if(list.size()==1)sum++; |
| 70 | + else{ |
| 71 | + //sort it to match with the adjacency list of particular nodes. |
| 72 | + Collections.sort(list); |
| 73 | + sum+=conn(list,map); |
| 74 | + } |
| 75 | + } |
| 76 | + } |
| 77 | + return sum; |
| 78 | + } |
| 79 | +} |
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