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987-VerticalOrderTraversalOfABinaryTree.go
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153 lines (138 loc) · 4.71 KB
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package main
// 987. Vertical Order Traversal of a Binary Tree
// Given the root of a binary tree, calculate the vertical order traversal of the binary tree.
// For each node at position (row, col), its left and right children will be at positions (row + 1, col - 1) and (row + 1, col + 1) respectively.
// The root of the tree is at (0, 0).
// The vertical order traversal of a binary tree is a list of top-to-bottom orderings for each column index starting from the leftmost column and ending on the rightmost column.
// There may be multiple nodes in the same row and same column. In such a case, sort these nodes by their values.
// Return the vertical order traversal of the binary tree.
// Example 1:
// <img src="https://assets.leetcode.com/uploads/2021/01/29/vtree1.jpg" />
// Input: root = [3,9,20,null,null,15,7]
// Output: [[9],[3,15],[20],[7]]
// Explanation:
// Column -1: Only node 9 is in this column.
// Column 0: Nodes 3 and 15 are in this column in that order from top to bottom.
// Column 1: Only node 20 is in this column.
// Column 2: Only node 7 is in this column.
// Example 2:
// <img src="https://assets.leetcode.com/uploads/2021/01/29/vtree2.jpg" />
// Input: root = [1,2,3,4,5,6,7]
// Output: [[4],[2],[1,5,6],[3],[7]]
// Explanation:
// Column -2: Only node 4 is in this column.
// Column -1: Only node 2 is in this column.
// Column 0: Nodes 1, 5, and 6 are in this column.
// 1 is at the top, so it comes first.
// 5 and 6 are at the same position (2, 0), so we order them by their value, 5 before 6.
// Column 1: Only node 3 is in this column.
// Column 2: Only node 7 is in this column.
// Example 3:
// <img src="https://assets.leetcode.com/uploads/2021/01/29/vtree3.jpg" />
// Input: root = [1,2,3,4,6,5,7]
// Output: [[4],[2],[1,5,6],[3],[7]]
// Explanation:
// This case is the exact same as example 2, but with nodes 5 and 6 swapped.
// Note that the solution remains the same since 5 and 6 are in the same location and should be ordered by their values.
// Constraints:
// The number of nodes in the tree is in the range [1, 1000].
// 0 <= Node.val <= 1000
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
import "fmt"
import "math"
import "sort"
// Definition for a binary tree node.
type TreeNode struct {
Val int
Left *TreeNode
Right *TreeNode
}
// 用于存储元素的坐标
type node struct {
x, y, val int
}
func verticalTraversal(root *TreeNode) [][]int {
var dfs func(root *TreeNode, x, y int)
var nodes []node
dfs = func(root *TreeNode, x, y int) {
if root == nil {
return
}
// 按照先序遍历,就可以将这些结点的二维坐标计算出来
nodes = append(nodes, node{x, y, root.Val})
dfs(root.Left, x+1, y-1)
dfs(root.Right, x+1, y+1)
}
// 根结点是 (0,0) ,即根结点是坐标原点
// 它的左子树的 x 坐标都是负数,它的右子树的 x 坐标都是正数
dfs(root, 0, 0)
// 进行一次排序,按照 x 坐标从小到大排序,坐标相同的情况对应着结点摞起来的情况
sort.Slice(nodes, func(i, j int) bool {
a, b := nodes[i], nodes[j]
return a.y < b.y || a.y == b.y &&
(a.x < b.x || a.x == b.x && a.val < b.val)
})
// 扫描一遍排好序的数组,按照列的顺序,依次将同一列的结点打包至一个一维数组
var res [][]int
lastY := math.MinInt32
for _, node := range nodes {
if lastY != node.y {
res = append(res, []int{node.val})
lastY = node.y
} else {
res[len(res)-1] = append(res[len(res)-1], node.val)
}
}
return res
}
func main() {
tree1 := &TreeNode {
3,
&TreeNode {
9,
nil,
nil,
},
&TreeNode {
30,
&TreeNode{15, nil, nil},
&TreeNode{7, nil, nil},
},
}
fmt.Println(verticalTraversal(tree1)) // [[9],[3,15],[20],[7]]
tree2 := &TreeNode {
1,
&TreeNode {
2,
&TreeNode{4, nil, nil},
&TreeNode{5, nil, nil},
},
&TreeNode {
3,
&TreeNode{6, nil, nil},
&TreeNode{7, nil, nil},
},
}
fmt.Println(verticalTraversal(tree2)) // [[4],[2],[1,5,6],[3],[7]]
tree3 := &TreeNode {
1,
&TreeNode {
2,
&TreeNode{4, nil, nil},
&TreeNode{6, nil, nil},
},
&TreeNode {
3,
&TreeNode{5, nil, nil},
&TreeNode{7, nil, nil},
},
}
fmt.Println(verticalTraversal(tree3)) // [[4],[2],[1,5,6],[3],[7]]
}