题目如下:

On a 2-dimensional grid, there are 4 types of squares:

  • 1 represents the starting square.  There is exactly one starting square.
  • 2 represents the ending square.  There is exactly one ending square.
  • 0 represents empty squares we can walk over.
  • -1 represents obstacles that we cannot walk over.

Return the number of 4-directional walks from the starting square to the ending square, that walk over every non-obstacle square exactly once.

Example 1:

Input: [[1,0,0,0],[0,0,0,0],[0,0,2,-1]]
Output: 2
Explanation: We have the following two paths:
1. (0,0),(0,1),(0,2),(0,3),(1,3),(1,2),(1,1),(1,0),(2,0),(2,1),(2,2)
2. (0,0),(1,0),(2,0),(2,1),(1,1),(0,1),(0,2),(0,3),(1,3),(1,2),(2,2)

Example 2:

Input: [[1,0,0,0],[0,0,0,0],[0,0,0,2]]
Output: 4
Explanation: We have the following four paths:
1. (0,0),(0,1),(0,2),(0,3),(1,3),(1,2),(1,1),(1,0),(2,0),(2,1),(2,2),(2,3)
2. (0,0),(0,1),(1,1),(1,0),(2,0),(2,1),(2,2),(1,2),(0,2),(0,3),(1,3),(2,3)
3. (0,0),(1,0),(2,0),(2,1),(2,2),(1,2),(1,1),(0,1),(0,2),(0,3),(1,3),(2,3)
4. (0,0),(1,0),(2,0),(2,1),(1,1),(0,1),(0,2),(0,3),(1,3),(1,2),(2,2),(2,3)

Example 3:

Input: [[0,1],[2,0]]
Output: 0
Explanation:
There is no path that walks over every empty square exactly once.
Note that the starting and ending square can be anywhere in the grid.

Note:

  1. 1 <= grid.length * grid[0].length <= 20

解题思路:因为grid数据非常少,所以直接DFS/BFS即可得到答案。遍历grid的过程中记录每个节点是否已经遍历过,通过记录已经遍历了遍历节点的总数

代码如下:

class Solution(object):
def uniquePathsIII(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
import copy
visit = []
count = 0
total = len(grid) * len(grid[0])
startx,starty = 0,0
for i in range(len(grid)):
visit.append([0] * len(grid[i]))
for j in range(len(grid[i])):
if grid[i][j] == -1:
count += 1
elif grid[i][j] == 1:
startx,starty = i,j
visit[startx][starty] = 1
queue = [(startx,starty,copy.deepcopy(visit),1)]
res = 0
while len(queue) > 0:
x,y,v,c = queue.pop(0)
if grid[x][y] == 2 and c == total - count:
res += 1
continue
direction = [(-1,0),(1,0),(0,1),(0,-1)]
for i,j in direction:
if x + i >= 0 and x + i < len(grid) and y + j >= 0 and y + j < len(grid[0]) and v[x+i][y+j] == 0 and grid[x+i][y+j] != -1:
v_c = copy.deepcopy(v)
v_c[x+i][y+j] = 1
queue.append((x+i,y+j,v_c,c+1))
return res

【leetcode】980. Unique Paths III的更多相关文章

  1. 【LeetCode】980. Unique Paths III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 回溯法 日期 题目地址:https://leetco ...

  2. 【LeetCode】63. Unique Paths II 解题报告(Python & C++)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址:https://leetcode.com/problems/unique-pa ...

  3. 【LeetCode】62. Unique Paths 解题报告(Python & C++)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址:https://leetcode.com/problems/unique-pa ...

  4. 【LeetCode】63. Unique Paths II

    Unique Paths II Follow up for "Unique Paths": Now consider if some obstacles are added to ...

  5. 【LeetCode】62. Unique Paths

    Unique Paths A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagra ...

  6. 【LeetCode】062. Unique Paths

    题目: A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below). ...

  7. 【LeetCode】063. Unique Paths II

    题目: Follow up for "Unique Paths": Now consider if some obstacles are added to the grids. H ...

  8. 【一天一道LeetCode】#63. Unique Paths II

    一天一道LeetCode (一)题目 Follow up for "Unique Paths": Now consider if some obstacles are added ...

  9. 【LeetCode】732. My Calendar III解题报告

    [LeetCode]732. My Calendar III解题报告 标签(空格分隔): LeetCode 题目地址:https://leetcode.com/problems/my-calendar ...

随机推荐

  1. linux学习-用户组与权限管理

    一.用户与组 1.用户 管理员:root,UID为0 普通用户:1-60000 自动分配 系统用户:1-499,1-999(Centos7),对守护进程分配获取资源进行权限分配 登录用户:500+,1 ...

  2. Redis原理及拓展

    Redis是单线程程序.单线程的Redis为何还能这么快? 1.所有的数据都在内存中,所有的运算都是内存级别的运算(因此时间复杂度为O(n)的指令要谨慎使用) 2.单线程操作,避免了频繁的上下文切换 ...

  3. python字符串非空判断

    1. 字符串非空判断 2. list 非空判断

  4. CSS中的一些伪类

    一.:nth-child 和 :nth-of-type (1):nth-child() :nth-child(n) 选择器选取某任意一父元素的第 n 个子元素( p:nth-child(n) 即选中任 ...

  5. loadrunner(预测系统行为和性能的负载测试工具)

    LoadRunner,是一种预测系统行为和性能的负载测试工具.通过以模拟上千万用户实施并发负载及实时性能监测的方式来确认和查找问题,LoadRunner能够对整个企业架构进行测试.企业使用LoadRu ...

  6. ExecutorException: A query was run and no Result Maps were found for the Mapped Statement ‘com.win.mall.dao.CartMapper.test’. It’s likely that neither a Result Type nor a Result Map was specified.

    ExecutorException: A query was run and no Result Maps were found for the Mapped Statement 'com.win.m ...

  7. linux composer 安装与应用

    linux下composer安装与简单应用-------------------------------------安装------------------------------------//下载 ...

  8. 模拟用户登录含注册——python第8天

    print('欢迎登录尚雅梦想python学习系统'.center(30)) print('******' * 8) flag = True while flag: order = input(''' ...

  9. 1.如何在JMeter中使用JUnit

    您是否需要在测试过程中使用JUnit? 要回答这个问题,我们先来看看单元测试. 单元测试是软件测试生命周期中测试的最低分辨率. 运行单元测试时,需要在应用程序中使用最小的可测试功能,将其与其他代码隔离 ...

  10. Java并发AtomicLong接口

    java.util.concurrent.atomic.AtomicLong类提供了可以被原子地读取和写入的底层long值的操作,并且还包含高级原子操作. AtomicLong支持基础long类型变量 ...