public static IList<IList<int>> FindPathsWithSum(TreeNode root, List<int> path, int search)
{
if (root == null)
{
return new List<IList<int>>();
}
path.Add(root.Value);
List<IList<int>> results = new List<IList<int>>();
for (int i = path.Count - 1; i >= 0; i--)
{
IList<int> currPath = path.GetRange(i, path.Count - i);
int sum = currPath.Aggregate((total, next) => { return total + next; });
if (sum == search)
{
results.Add(currPath);
}
}
results.AddRange(FindPathsWithSum(root.Left, new List<int>(path), search));
results.AddRange(FindPathsWithSum(root.Right, new List<int>(path), search));
return results;
}
public static TreeNode FindCommonAncestor(TreeNode root, TreeNode x, TreeNode y)
{
bool inLeft = IsInSubtree(root.Left, x, y);
bool inRight = IsInSubtree(root.Right, x, y);
if (inLeft && inRight)
{
return root;
}
// We must first check if the current node is a node we're looking for or else it will get missed
if (root == x || root == y)
{
if (IsInSubtree(root.Left, x, y) || IsInSubtree(root.Right, x, y))
{
return root;
}
}
if (inLeft && !inRight){
return FindCommonAncestor(root.Left, x, y);
}
if (inRight && !inLeft)
{
return FindCommonAncestor(root.Right, x, y);
}
return null;
}
private static TreeNode findLeftMostNode(TreeNode n)
{
if (n.Left == null)
{
return n;
}
return findLeftMostNode(n.Left);
}
private static TreeNode findInOrderSuccessor(TreeNode parent, TreeNode prev)
{
if (parent.Left == prev)
{
return parent;
}
return findInOrderSuccessor(parent.Parent, parent);
}
public static bool ContainsTree(TreeNode t1, TreeNode t2)
{
// null tree is always a subtree
if (t2 == null)
{
return true;
}
return SubTree(t1, t2);
}
public static bool IsInSubtree(TreeNode root, TreeNode x, TreeNode y)
{
if (root == null)
{
return false;
}
if (root == x || root == y)
{
return true;
}
return IsInSubtree(root.Left, x, y) || IsInSubtree(root.Right, x, y);
}
/*
* Correct way to approach the problem is you have to check EVERY node under the left and right subtree to see whether they satisfy
* the condition. This is obvious very expensive, so to solve this problem you recursively pass in the min and max values a node
* under the subtrees may be, updating them with the value of the next node as you continue to recurse.
*/
public static bool isTreeBst(TreeNode root, int min, int max)
{
if (root == null)
{
return true;
}
if (root.Value <= min || root.Value > max)
{
return false;
}
return isTreeBst(root.Left, min, root.Value) && isTreeBst(root.Right, root.Value, max);
}
public static TreeNode InOrderSuccessor(TreeNode n)
{
if (n.Right != null)
{
return findLeftMostNode(n.Right);
}
else if (n.Parent != null)
{
return findInOrderSuccessor(n.Parent, n);
}
else
{
return null;
}
}
private static TreeNode arrayToBstHelper(int[] arr, int begin, int end, TreeNode parent)
{
if (end < begin)
{
return null;
}
int mid = (end - begin) / 2 + begin;
TreeNode newNode = new TreeNode(arr[mid]);
newNode.Parent = parent;
newNode.Left = arrayToBstHelper(arr, begin, mid - 1, newNode);
newNode.Right = arrayToBstHelper(arr, mid + 1, end, newNode);
return newNode;
}
// https://leetcode.com/problems/same-tree/
private static bool AreEqualTrees(TreeNode x, TreeNode y)
{
if (x == null && y == null)
{
return true;
}
if (x == null || y == null)
{
return false;
}
if (x.Value != y.Value)
{
return false;
}
return AreEqualTrees(x.Left, y.Left) && AreEqualTrees(x.Right, y.Right);
}
private static bool SubTree(TreeNode t1, TreeNode t2)
{
if (t1 == null)
{
return false;
}
if (t1.Value == t2.Value)
{
if (AreEqualTrees(t1, t2))
{
return true;
}
}
return SubTree(t1.Left, t2) || SubTree(t1.Right, t2);
}
public void Test2()
{
TreeNode t1 = new TreeNode(1);
TreeNode t2 = new TreeNode(2);
TreeNode t3 = new TreeNode(3);
TreeNode t4 = new TreeNode(4);
TreeNode t5 = new TreeNode(5);
TreeNode t6 = new TreeNode(6);
TreeNode t7 = new TreeNode(7);
t1.Left = t2;
t2.Left = t4;
t2.Right = t5;
Assert.AreEqual(-1, _01.isBalanced(t1));
}
/*
* Returns -1 if not balanced, otherwise >= 0
*
* Calculate height recursively on the tree and its subtrees and make sure they do not differ by more than 1.
*/
public static int isBalanced(TreeNode root)
{
if (root == null)
{
return 0;
}
int left = 1 + isBalanced(root.Left);
int right = 1 + isBalanced(root.Right);
if (left == 0 || right == 0)
{
return -1;
}
if (!(Math.Abs(left - right) <= 1))
{
return -1;
}
return left > right ? left : right;
}
public static IList<IList<int>> treeToLevelOrder(TreeNode root)
{
IList<IList<int>> resultLists = new List<IList<int>>();
Queue<TreeNode> queue = new Queue<TreeNode>();
if (root == null)
{
return resultLists;
}
queue.Enqueue(root);
while (queue.Count != 0)
{
List<int> newLevel = new List<int>();
Queue<TreeNode> newQueue = new Queue<TreeNode>();
int queueCount = queue.Count;
for (int i = 0; i < queueCount; i++)
{
TreeNode n = queue.Dequeue();
newLevel.Add(n.Value);
if (n.Left != null)
{
newQueue.Enqueue(n.Left);
}
if (n.Right != null)
{
newQueue.Enqueue(n.Right);
}
}
resultLists.Add(newLevel);
queue = newQueue;
}
return resultLists;
}
public static bool IsValidBstHelper(TreeNode root, int? min, int? max)
{
if (root == null)
{
return true;
}
if (min != null && root.Value <= min)
{
return false;
}
if (max != null && root.Value >= max)
{
return false;
}
return IsValidBstHelper(root.Left, min, root.Value) && IsValidBstHelper(root.Right, root.Value, max);
}
/*
* Above is even incorrect in a strict definition of a BST: left < root < right
* Such a interpretation will run into problems with [1, 1] / [1, null, 1] and int.MaxValue and int.MinValue
*
* To solve such a problem you need to be able to hold 1 more value than what's possible with an int. A easy way around
* this then is to simply use a nullable value which is simply not initialized when you start the search.
*/
public static bool IsValidBst(TreeNode root)
{
return IsValidBstHelper(root, null, null);
}
