Given a binary tree, return the vertical order traversal of its nodes values.
For each node at position (X, Y), its left and right children respectively will be at positions (X-1, Y-1) and (X+1, Y-1).
Running a vertical line from X = -infinity to X = +infinity, whenever the vertical line touches some nodes, we report the values of the nodes in order from top to bottom (decreasing Y coordinates).
If two nodes have the same position, then the value of the node that is reported first is the value that is smaller.
Return an list of non-empty reports in order of X coordinate. Every report will have a list of values of nodes.
Example 1:
Input: [3,9,20,null,null,15,7]
Output: [[9],[3,15],[20],[7]]
Explanation:
Without loss of generality, we can assume the root node is at position (0, 0):
Then, the node with value 9 occurs at position (-1, -1);
The nodes with values 3 and 15 occur at positions (0, 0) and (0, -2);
The node with value 20 occurs at position (1, -1);
The node with value 7 occurs at position (2, -2).
Example 2:
Input: [1,2,3,4,5,6,7]
Output: [[4],[2],[1,5,6],[3],[7]]
Explanation:
The node with value 5 and the node with value 6 have the same position according to the given scheme.
However, in the report "[1,5,6]", the node value of 5 comes first since 5 is smaller than 6.
Note:
The tree will have between 1 and 1000 nodes.
Each node's value will be between 0 and 1000.
class Solution {
static class Pair {
TreeNode root;
int level;
Pair(TreeNode node, int level) {
this.root = node;
this.level = level;
}
}
public List<List<Integer>> verticalTraversal(TreeNode root) {
// Map for storing level -> List
HashMap<Integer, List<Integer>> map = new HashMap<>();
int minLevel = Integer.MAX_VALUE, maxLevel = Integer.MIN_VALUE;
// Going for level order BFS
Queue<Pair> q = new LinkedList<>();
q.add(new Pair(root, 0));
while (q.size() != 0) {
int size = q.size();
List<Pair> level = new ArrayList<>();
while (size-- > 0) {
Pair node = q.poll();
minLevel = Math.min(minLevel, node.level);
maxLevel = Math.max(maxLevel, node.level);
map.computeIfAbsent(node.level, k -> new ArrayList<>()).add(node.root.val);
if (node.root.left != null)
level.add(new Pair(node.root.left, node.level - 1));
if (node.root.right != null)
level.add(new Pair(node.root.right, node.level + 1));
}
// Sorting levels on values
// Because of this -> If two nodes have the same position, then the value of the
// node that is reported first is the value that is smaller.
Collections.sort(level, (a, b) -> a.root.val - b.root.val);
for (Pair node : level)
q.add(node);
}
List<List<Integer>> ans = new ArrayList<>();
for (int i = minLevel; i <= maxLevel; i++)
ans.add(map.get(i));
return ans;
}
}