Problem:
Rooted Trees

A graph G = (V, E) is a data structure where V is a finite set of vertices and E is a binary relation on V represented by a set of edges. Fig. 1 illustrates an example of a graph (or graphs).

Fig. 1

A free tree is a connnected, acyclic, undirected graph. A rooted tree is a free tree in which one of the vertices is distinguished from the others. A vertex of a rooted tree is called "node."

Your task is to write a program which reports the following information for each node u of a given rooted tree T:

node ID of u

parent of u

depth of u

node type (root, internal node or leaf)

a list of chidlren of u

If the last edge on the path from the root r of a tree T to a node x is (p, x), then p is the parent of x, and x is a child of p. The root is the only node in T with no parent.

A node with no children is an external node or leaf. A nonleaf node is an internal node

The number of children of a node x in a rooted tree T is called the degree of x.

The length of the path from the root r to a node x is the depth of x in T.

Here, the given tree consists of n nodes and evey node has a unique ID from 0 to n-1.

Fig. 2 shows an example of rooted trees where ID of each node is indicated by a number in a circle (node). The example corresponds to the first sample input.

Fig. 2

Input

The first line of the input includes an integer n, the number of nodes of the tree.

In the next n lines, the information of each node u is given in the following format:

id k c1 c2 ... ck

where id is the node ID of u, k is the degree of u, c1 ... ck are node IDs of 1st, ... kth child of u. If the node does not have a child, the k is 0.

Output

Print the information of each node in the following format ordered by IDs:

node id: parent = p, depth = d, type, [c1...ck]

p is ID of its parent. If the node does not have a parent, print -1.

d is depth of the node.

type is a type of nodes represented by a string (root, internal node or leaf). If the root can be considered as a leaf or an internal node, print root.

c1...ck is the list of children as a ordered tree.

Please follow the format presented in a sample output below.

Constraints

1 ≤ n ≤ 100000

Sample Input 1

13
0 3 1 4 10
1 2 2 3
2 0
3 0
4 3 5 6 7
5 0
6 0
7 2 8 9
8 0
9 0
10 2 11 12
11 0
12 0

Sample Output 1

node 0: parent = -1, depth = 0, root, [1, 4, 10]
node 1: parent = 0, depth = 1, internal node, [2, 3]
node 2: parent = 1, depth = 2, leaf, []
node 3: parent = 1, depth = 2, leaf, []
node 4: parent = 0, depth = 1, internal node, [5, 6, 7]
node 5: parent = 4, depth = 2, leaf, []
node 6: parent = 4, depth = 2, leaf, []
node 7: parent = 4, depth = 2, internal node, [8, 9]
node 8: parent = 7, depth = 3, leaf, []
node 9: parent = 7, depth = 3, leaf, []
node 10: parent = 0, depth = 1, internal node, [11, 12]
node 11: parent = 10, depth = 2, leaf, []
node 12: parent = 10, depth = 2, leaf, []

Sample Input 2

4
1 3 3 2 0
0 0
3 0
2 0

Sample Output 2

node 0: parent = 1, depth = 1, leaf, []
node 1: parent = -1, depth = 0, root, [3, 2, 0]
node 2: parent = 1, depth = 1, leaf, []
node 3: parent = 1, depth = 1, leaf, []

Note

You can use a left-child, right-sibling representation to implement a tree which has the following data:

the parent of u

the leftmost child of u

the immediate right sibling of u

Reference

Introduction to Algorithms, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The MIT Press.

Solution in C (judge verdict: Accepted)

// Rooted Trees
#include <stdio.h>
#define MAX 100000 // 接点の個数の上限
#define NIL -1     // 接点番号として使われない値を設定(とりあえず-1としておく)

struct node{
  int parent; // 各接点の親を参照
  int left;   // 左の子を参照
  int right;  // 右の兄弟を参照
};
struct node T[MAX];

int getDepth(int);
int printNodeType(int);
void printChildren(int);

int main(){
  int i, j, id, k, child, c, n;

  scanf("%d", &n);

  for(i=0; i < n; i++){
    T[i].parent = T[i].left = T[i].right = NIL;
  }
  
  for(i=0; i < n; i++){
    scanf("%d%d", &id, &k);
    for(j=0; j < k; j++){
      scanf("%d", &child);
      if(j == 0)T[id].left = child;
      else T[c].right = child;
      c = child;
      T[child].parent = id;
    }
  }

  for(i=0; i < n; i++){
    printf("node %d: parent = %d, depth = %d, ", i, T[i].parent, getDepth(i));
    printNodeType(i);
    printChildren(i);
  }

  return 0;
}

// 接点の深さを得る
int getDepth(int u){
  int d=0;
  while(T[u].parent != NIL){
    u = T[u].parent;
    d++;
  }
  return d;
}

// 根、内部ノードまたは葉のどれかを判定して表示
int printNodeType(int u){
  if(T[u].parent == NIL)printf("root, ");
  else if(T[u].left == NIL)printf("leaf, ");
  else printf("internal node, ");
}

// 子のリストを表示
void printChildren(int u){
  int i, c;
  c = T[u].left;
  printf("[");
  for(i=0; c != NIL; i++){
    if(i != 0)printf(", ");
    printf("%d", c);
    c = T[c].right;
  }
  printf("]\n");
}