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						[12/31] 980. Unique Paths III
본문
You are given an m x n integer array grid where grid[i][j] could be:
- 1representing the starting square. There is exactly one starting square.
- 2representing the ending square. There is exactly one ending square.
- 0representing empty squares we can walk over.
- -1representing 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: grid = [[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: grid = [[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: grid = [[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.
Constraints:
- m == grid.length
- n == grid[i].length
- 1 <= m, n <= 20
- 1 <= m * n <= 20
- -1 <= grid[i][j] <= 2
- There is exactly one starting cell and one ending cell.
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class Solution:
    def uniquePathsIII(self, grid: List[List[int]]) -> int:
        ROW, COL = len(grid), len(grid[0])
        path = set()
        start = (0,0)
        goal = (0,0)
        obstacles = 0
        for row in range(ROW):
            for col in range(COL):
                if grid[row][col] == 2:
                    goal = (row, col)
                elif grid[row][col] == -1:
                    obstacles += 1
                elif grid[row][col] == 1:
                    start = (row, col)
        res = 0
        directions = [(0,1),(1,0),(-1,0),(0,-1)]
        def dfs(r, c):
            path.add((r,c))
            if len(path) == ROW*COL - obstacles and (r,c) == goal:
                nonlocal res
                res += 1
            else:
                for rd, cd in directions:
                    nr, nc = r+rd, c+cd
                    if 0<=nr<ROW and 0<=nc<COL and grid[nr][nc] != -1 and (nr, nc) not in path:
                        dfs(nr, nc)
            path.remove((r,c))
        
        dfs(start[0], start[1])
        return res 
								 
							








