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 Scala (judge verdict: Accepted)

import scala.io.StdIn.{readInt,readLine}
import scala.collection.mutable.ArrayBuffer

object Main {
  val NIL = -1

  class Node(var parent:Int = NIL,var left:Int = NIL,var right:Int = NIL) { }

  def main(args:Array[String]) = {
    val n = readInt
    val tree = (0 until n).map(_=>new Node).toArray
    val depth = new Array[Int](n)

    for(i<-0 until n) {
      val s = readLine.split(" ").map(_.toInt)
      val id = s(0)
      val k = s(1)
      var prev = 0
      for(j<-2 until k+2) {
        if(j==2) tree(id).left = s(j)
        else tree(prev).right = s(j)
        prev = s(j)
        tree(s(j)).parent = id
      }
    }

    def getDepth(node:Int,d:Int):Unit = {
      depth(node) = d
      if( tree(node).right != NIL ) getDepth(tree(node).right, d)
      if( tree(node).left != NIL ) getDepth(tree(node).left, d+1)
    }

    val root = tree.indexWhere(_.parent == NIL)
    getDepth(root, 0)

    for(i<-0 until n) {
      print("node " + i + ": ")
      print("parent = " + tree(i).parent + ", ")
      print("depth = " + depth(i) + ", ")
      if( tree(i).parent == NIL ) print("root, ")
      else if( tree(i).left == NIL ) print("leaf, ")
      else print("internal node, ")

      print("[")

      var node = tree(i).left
      val a = new ArrayBuffer[Int]
      while(node!=NIL) {
        a.append(node)
        node = tree(node).right
      }
      print(a.mkString(", "))
      println("]")
    }
  }
}