题目如下:

On a N x N grid of cells, each cell (x, y) with 0 <= x < N and 0 <= y < N has a lamp.

Initially, some number of lamps are on.  lamps[i] tells us the location of the i-th lamp that is on.  Each lamp that is on illuminates every square on its x-axis, y-axis, and both diagonals (similar to a Queen in chess).

For the i-th query queries[i] = (x, y), the answer to the query is 1 if the cell (x, y) is illuminated, else 0.

After each query (x, y) [in the order given by queries], we turn off any lamps that are at cell (x, y) or are adjacent 8-directionally (ie., share a corner or edge with cell (x, y).)

Return an array of answers.  Each value answer[i]should be equal to the answer of the i-th query queries[i].

Example 1:

Input: N = 5, lamps = [[0,0],[4,4]], queries = [[1,1],[1,0]]
Output: [1,0]
Explanation:
Before performing the first query we have both lamps [0,0] and [4,4] on.
The grid representing which cells are lit looks like this, where [0,0] is the top left corner, and [4,4] is the bottom right corner:
1 1 1 1 1
1 1 0 0 1
1 0 1 0 1
1 0 0 1 1
1 1 1 1 1
Then the query at [1, 1] returns 1 because the cell is lit. After this query, the lamp at [0, 0] turns off, and the grid now looks like this:
1 0 0 0 1
0 1 0 0 1
0 0 1 0 1
0 0 0 1 1
1 1 1 1 1
Before performing the second query we have only the lamp [4,4] on. Now the query at [1,0] returns 0, because the cell is no longer lit.

Note:

  1. 1 <= N <= 10^9
  2. 0 <= lamps.length <= 20000
  3. 0 <= queries.length <= 20000
  4. lamps[i].length == queries[i].length == 2

解题思路:每一盏灯可以照亮所在位置的水平方向、垂直方向和两个对角线方向 ,假设这盏灯的坐标是(i,j),那么用一次函数来表示这水平和垂直方向就是x=i,y=j。两个对角线方向很显然斜率分别是1和-1,把(i,j)分别带入方程 y=x+b和y=-x+b即可求出b的值,而(斜率,b)这两个参数即可确定一条直线。这里可以用三个字典分别保存这四个方程,例如dic_x[i] ,dic_y[j], dic[(-1,b)],dic[(1,b)],每亮一盏灯,算出key值并对字典中相应的key所对应的值+1,而灭灯就是对key所对应的值减去1。判断一盏灯是否是亮的状态,算出四个方向的key值并判断这四个key中至少有一个存在于字典中即可。

代码如下:

class Solution(object):
dic = {}
dic_x = {}
dic_y = {}
dic_lamp = {}
def turn_on(self,x,y):
b = y - x
self.dic[(1, b)] = self.dic.setdefault((1, b), 0) + 1
b = x + y
self.dic[(-1, b)] = self.dic.setdefault((-1, b), 0) + 1 self.dic_x[x] = self.dic_x.setdefault(x, 0) + 1
self.dic_y[y] = self.dic_y.setdefault(y, 0) + 1
def turn_off(self,x,y):
b = y - x
if (1,b) in self.dic:
self.dic[(1, b)] -= 1
self.dic[(1, b)] = max(0,self.dic[(1, b)])
b = x + y
if (-1,b) in self.dic:
self.dic[(-1, b)] -= 1
if self.dic[(-1, b)] == 0:
del self.dic[(-1, b)]
if x in self.dic_x:
self.dic_x[x] -= 1
if self.dic_x[x] == 0:
del self.dic_x[x]
if y in self.dic_y:
self.dic_y[y] -= 1
if self.dic_y[y] == 0:
del self.dic_y[y]
def is_on(self,x,y):
return x in self.dic_x or y in self.dic_y or (1,y-x) in self.dic or (-1,y+x) in self.dic def gridIllumination(self, N, lamps, queries):
"""
:type N: int
:type lamps: List[List[int]]
:type queries: List[List[int]]
:rtype: List[int]
"""
self.dic = {}
self.dic_x = {}
self.dic_y = {}
self.dic_lamp = {}
for (x,y) in lamps:
self.turn_on(x,y)
self.dic_lamp[(x,y)] = 1
res = []
direction = [(-1,0),(1,0),(0,1),(0,-1),(1,1),(1,-1),(-1,1),(-1,-1)]
for (x,y) in queries:
if self.is_on(x,y):
res.append(1)
if (x,y) in self.dic_lamp:
self.turn_off(x, y)
for (i,j) in direction:
if (i+x,j+y) in self.dic_lamp:
self.turn_off(i+x,j+y)
else:
res.append(0)
if (x,y) in self.dic_lamp:
self.turn_off(x, y)
for (i, j) in direction:
if (i + x, j + y) in self.dic_lamp:
self.turn_off(i + x, j + y)
return res

【leetcode】1001. Grid Illumination的更多相关文章

  1. 【LeetCode】1001. Grid Illumination 解题报告(C++)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 哈希 日期 题目地址:https://leetcod ...

  2. 【LeetCode】代码模板,刷题必会

    目录 二分查找 排序的写法 BFS的写法 DFS的写法 回溯法 树 递归 迭代 前序遍历 中序遍历 后序遍历 构建完全二叉树 并查集 前缀树 图遍历 Dijkstra算法 Floyd-Warshall ...

  3. 【LeetCode】1162. 地图分析 As Far from Land as Possible(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客:http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 这个题想考察什么? 剩下的任务就是套模板! 日期 题目 ...

  4. 【LeetCode】Island Perimeter 解题报告

    [LeetCode]Island Perimeter 解题报告 [LeetCode] https://leetcode.com/problems/island-perimeter/ Total Acc ...

  5. 【LeetCode】36. Valid Sudoku 解题报告(Python)

    [LeetCode]36. Valid Sudoku 解题报告(Python) 作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址 ...

  6. 【LeetCode】764. Largest Plus Sign 解题报告(Python)

    [LeetCode]764. Largest Plus Sign 解题报告(Python) 作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn ...

  7. 【LeetCode】Minimum Depth of Binary Tree 二叉树的最小深度 java

    [LeetCode]Minimum Depth of Binary Tree Given a binary tree, find its minimum depth. The minimum dept ...

  8. 【Leetcode】Pascal&#39;s Triangle II

    Given an index k, return the kth row of the Pascal's triangle. For example, given k = 3, Return [1,3 ...

  9. 53. Maximum Subarray【leetcode】

    53. Maximum Subarray[leetcode] Find the contiguous subarray within an array (containing at least one ...

随机推荐

  1. python2和python3同时存在电脑时,安装包时的的命令行

    若是在Python2中使用pip操作时,用pip2或是pip2.7相关命令. 例:给Python2安装selenium,在cmd中输入 pip2 install selenium 或是 pip2.7 ...

  2. 【8.0.0_r4】AMS分析(十七)(ActivityManagerService.java下)

    代码位于frameworks/base/services/core/java/com/android/server/am/,一共有七十个文件. Java源码位于package com.android. ...

  3. @encode关键字

    @encode() 为了更好的互操作性,Objective-C 的数据类型,甚至自定义类型.函数或方法的元类型,都可以使用 ASCII 编码.@encode(aType) 可以返回该类型的 C 字符串 ...

  4. composer 国内加速,修改镜像源

    为什么慢 由于默认情况下执行 composer 各种命令是去国外的 composer 官方镜像源获取需要安装的具体软件信息,所以在不使用代理.不翻墙的情况下,从国内访问国外服务器的速度相对比较慢 如何 ...

  5. python 将图片存入mongodb,读取图片,gridfs模块

    导入图片引入模块,其中gridfs模块不需要单独安装,引入了pymongo即可直接引入from pymongo import MongoClientfrom gridfs import *import ...

  6. svn没有权限检出项目

    解决方法 鼠标右键,svn,setings

  7. spring boot 尚桂谷学习笔记04 ---Web开始

    ------web开发------ 1.创建spring boot 应用 选中我们需要的模块 2.spring boot 已经默认将这些场景配置好了 @EnableAutoConfiguration ...

  8. 笔记大神推荐的个人知识文档管理工具mybase

    铛铛铛,今天我要给大家推荐一款个人知识笔记管理神器,不出你们所料,它就是mybase. 那mybase究竟能干啥呢?借用mybase中文官网的一句话来说,mybase软件可以将电脑上的文档.知识.笔记 ...

  9. js中的经典案例--简易万年历

    js中的经典案例--简易万年历 html代码 <!DOCTYPE html> <html> <head> <meta charset="utf-8& ...

  10. Linux中通过grep命令检索文件内容和指定内容前后几行

    原文链接: https://www.linuxidc.com/Linux/2017-11/148390.htm Linux系统中搜索.查找文件中的内容,一般最常用的是grep命令,另外还有egrep命 ...