leetcode - 218. The Skyline Problem

Description

A city's skyline is the outer contour of the silhouette formed by all the buildings in that city when viewed from a distance. Given the locations and heights of all the buildings, return the skyline formed by these buildings collectively.

The geometric information of each building is given in the array buildings where buildings[i] = [lefti, righti, heighti]:

复制代码
lefti is the x coordinate of the left edge of the ith building.
righti is the x coordinate of the right edge of the ith building.
heighti is the height of the ith building.
You may assume all buildings are perfect rectangles grounded on an absolutely flat surface at height 0.

The skyline should be represented as a list of "key points" sorted by their x-coordinate in the form [[x1,y1],[x2,y2],...]. Each key point is the left endpoint of some horizontal segment in the skyline except the last point in the list, which always has a y-coordinate 0 and is used to mark the skyline's termination where the rightmost building ends. Any ground between the leftmost and rightmost buildings should be part of the skyline's contour.

Note: There must be no consecutive horizontal lines of equal height in the output skyline. For instance, [...,[2 3],[4 5],[7 5],[11 5],[12 7],...] is not acceptable; the three lines of height 5 should be merged into one in the final output as such: [...,[2 3],[4 5],[12 7],...]

Example 1:

复制代码
Input: buildings = [[2,9,10],[3,7,15],[5,12,12],[15,20,10],[19,24,8]]
Output: [[2,10],[3,15],[7,12],[12,0],[15,10],[20,8],[24,0]]
Explanation:
Figure A shows the buildings of the input.
Figure B shows the skyline formed by those buildings. The red points in figure B represent the key points in the output list.

Example 2:

复制代码
Input: buildings = [[0,2,3],[2,5,3]]
Output: [[0,3],[5,0]]

Constraints:

复制代码
1 <= buildings.length <= 10^4
0 <= lefti < righti <= 2^31 - 1
1 <= heighti <= 2^31 - 1
buildings is sorted by lefti in non-decreasing order.

Solution

Solved after others' solutions...

Line sweep, add height when it's start, minus height when it's end. Use a heap to store (ending_position, height), and compare every point with the top element at the heap. If the point is at the right of the top element, then pop from the heap.

When current height is positive, push it to the heap.

Print the result when the height of the top element is different from the previous printed result.

Time complexity: o ( n log ⁡ n ) o(n\log n) o(nlogn)

Space complexity: o ( n ) o(n) o(n)

Code

python3 复制代码
class Solution:
    def getSkyline(self, buildings: List[List[int]]) -> List[List[int]]:
        # heap: (height, position)
        heap = [(0, float('inf'))]
        new_buildings = []
        for left, right, height in buildings:
            new_buildings.append((left, height, right))
            new_buildings.append((right, -height, 'doesn\'t matter'))
        new_buildings.sort(key=lambda x: (x[0], -x[1]))
        res = []
        for left, height, right in new_buildings:
            while heap and left >= heap[0][1]:
                heapq.heappop(heap)
            if height > 0:
                heapq.heappush(heap, (-height, right))
            if not res or res[-1][1] != -heap[0][0]:
                res.append([left, -heap[0][0]])
        return res
相关推荐
昵称小白1 分钟前
二叉树专题(下)
算法·深度优先
故事和你914 分钟前
洛谷-数据结构2-1-二叉堆与树状数组1
开发语言·数据结构·c++·算法·动态规划·图论
念恒1230618 分钟前
STM32---新建工程
linux·stm32·嵌入式硬件
多加点辣也没关系37 分钟前
数据结构与算法|第十七章:贪心算法
数据结构·算法·贪心算法
多加点辣也没关系38 分钟前
数据结构与算法|第十四章:排序算法(上)— 比较类排序
数据结构·算法·排序算法
悲伤小伞1 小时前
Linux_传输层协议TCP详解
linux·网络·c++·网络协议·tcp/ip
笨笨饿1 小时前
#72_聊聊I2C以及他们的变体
linux·c语言·网络·stm32·单片机·算法·个人开发
机器人图像处理1 小时前
6-自动白平衡(灰度世界算法)
opencv·算法·相机
Dr.Zeus1 小时前
从电芯到系统:BMS算法视角下的电池热管理深度解析作者署名
算法·能源
ulias2121 小时前
leetcode热题 - 6
linux·算法·leetcode