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September 20, 2023 20:04
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1351 Validate binary tree nodes - C# solution
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using System; | |
using System.Collections.Generic; | |
using System.Linq; | |
using System.Text; | |
using System.Threading.Tasks; | |
namespace _1361_Validate_binary_tree_nodes | |
{ | |
class Program | |
{ | |
static void Main(string[] args) | |
{ | |
var test = new Program(); | |
//var result = test.ValidateBinaryTreeNodes(4, new int[]{1, -1, 3, -1}, new int[]{2, -1, -1, -1}); | |
//var result2 = test.ValidateBinaryTreeNodes(4, new int[]{1, -1, 3, -1}, new int[]{2, 3, -1, -1}); | |
var result3 = test.ValidateBinaryTreeNodes(2, new int[]{1, 0}, new int[]{-1, -1}); | |
} | |
/// <summary> | |
/// 1351. Validate binary tree nodes | |
/// 1. Binary tree must have a root. This is a node with no incoming edges - that is, the root has no parent; | |
/// 2. Every node other than the root must have exactly one parent; | |
/// 3. The tree must be connected - every node must be reachable from one node ( the root); | |
/// 4. There cannot be a cycle. | |
/// </summary> | |
/// <param name="n"></param> | |
/// <param name="leftChild"></param> | |
/// <param name="rightChild"></param> | |
/// <returns></returns> | |
public bool ValidateBinaryTreeNodes(int n, int[] leftChild, int[] rightChild) | |
{ | |
var root = findRoot(n, leftChild, rightChild); | |
if (root == -1) { | |
return false; | |
} | |
// Implement a DFS iteratively with a stack. | |
// | |
var seen = new HashSet<int>(); | |
var stack = new Stack<int>(); | |
seen.Add(root); | |
stack.Push(root); | |
while (stack.Any()) | |
{ | |
int node = stack.Pop(); | |
var children = new int[]{leftChild[node], rightChild[node]}; | |
foreach (var child in children) | |
{ | |
if (child != -1) | |
{ | |
if (seen.Contains(child)) | |
{ | |
return false; | |
} | |
stack.Push(child); | |
seen.Add(child); | |
} | |
} | |
} | |
return seen.Count == n; | |
} | |
/// <summary> | |
/// Root node - has no parent | |
/// Root node should not show up in left or right array since root node has no parent node. | |
/// </summary> | |
/// <param name="n"></param> | |
/// <param name="left"></param> | |
/// <param name="right"></param> | |
/// <returns></returns> | |
private int findRootAdd(int n, int[] left, int[] right) { | |
var children = new HashSet<int>(); | |
foreach (var node in left) { | |
children.Add(node); | |
} | |
foreach (var node in right) { | |
children.Add(node); | |
} | |
// Get minimum one - assuming that there is only one root node. | |
for (int i = 0; i < n; i++) { | |
if (!children.Contains(i)) | |
{ | |
return i; | |
} | |
} | |
return -1; | |
} | |
/// <summary> | |
/// Added on Sept. 20, 2023 | |
/// </summary> | |
/// <param name="n"></param> | |
/// <param name="left"></param> | |
/// <param name="right"></param> | |
/// <returns></returns> | |
private int findRoot(int n, int[] left, int[] right) | |
{ | |
var roots = new HashSet<int>(); | |
for (int i = 0; i < n; i++) | |
{ | |
roots.Add(i); | |
} | |
foreach (var node in left) | |
{ | |
roots.Remove(node); | |
} | |
foreach (var node in right) | |
{ | |
roots.Remove(node); | |
} | |
if (roots.Count == 0 || roots.Count > 1) | |
{ | |
return -1; | |
} | |
return roots.Min(); | |
} | |
} | |
} |
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