1036.逃离大迷宫

在一个 $10^6\times 10^6$ 的网格中，每个网格上方格的坐标为 (x, y)。

现在从源方格 source = [sx, sy] 开始出发，意图赶往目标方格 target = [$t_x$, $t_y$] 。数组 blocked 是封锁的方格列表，其中每个 blocked[i] = [xi, yi] 表示坐标为 (xi, yi) 的方格是禁止通行的。

每次移动，都可以走到网格中在四个方向上相邻的方格，只要该方格不在给出的封锁列表 blocked 上。同时，不允许走出网格。

只有在可以通过一系列的移动从源方格 source 到达目标方格 target 时才返回 true。否则，返回 false。

提示：

0 <= blocked.length <= 200
blocked[i].length == 2
0 <= xi, yi < 106
source.length == target.length == 2
0 <= sx, sy, tx, ty < $10^6$
source != target
题目数据保证 source 和 target 不在封锁列表内

一道dfs怎么都会超时的题目。最后得取巧。由于只有200个blocked，所以最多只要经过20000格就能确保一定能走到外面。最后的极端情况见最后的例子。

class Solution:
    def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
        if blocked == []:
            return True
        blocked = set(map(tuple, blocked))

        def dfs(self, x, y, target, state, blocked):
            if x == target[0] and y == target[1]:
                return True
            state.add((x,y))
            if len(state) > 20000:
                return True
            px = [1,0,-1,0]
            py = [0,1,0,-1]
            for i in range(4):
                new_x = x + px[i]
                new_y = y + py[i]
                if new_x >= 0 and new_x < 10**6 and new_y >=0 and new_y < 10**6 and not (new_x,new_y) in state and not (new_x,new_y) in blocked:
                    if dfs(self,new_x,new_y, target, state, blocked):
                        return True
            
            return False
        
        return dfs(self, source[0], source[1], target, set(), blocked) and dfs(self, target[0], target[1], source, set(), blocked)

执行用时：1032 ms, 在所有 Python3 提交中击败了24.61%的用户

内存消耗：48.8 MB, 在所有 Python3 提交中击败了6.15%的用户

运行时间以及内存消耗较大。

极端例子：

[[0,199],[1,198],[2,197],[3,196],[4,195],[5,194],[6,193],[7,192],[8,191],[9,190],[10,189],[11,188],[12,187],[13,186],[14,185],[15,184],[16,183],[17,182],[18,181],[19,180],[20,179],[21,178],[22,177],[23,176],[24,175],[25,174],[26,173],[27,172],[28,171],[29,170],[30,169],[31,168],[32,167],[33,166],[34,165],[35,164],[36,163],[37,162],[38,161],[39,160],[40,159],[41,158],[42,157],[43,156],[44,155],[45,154],[46,153],[47,152],[48,151],[49,150],[50,149],[51,148],[52,147],[53,146],[54,145],[55,144],[56,143],[57,142],[58,141],[59,140],[60,139],[61,138],[62,137],[63,136],[64,135],[65,134],[66,133],[67,132],[68,131],[69,130],[70,129],[71,128],[72,127],[73,126],[74,125],[75,124],[76,123],[77,122],[78,121],[79,120],[80,119],[81,118],[82,117],[83,116],[84,115],[85,114],[86,113],[87,112],[88,111],[89,110],[90,109],[91,108],[92,107],[93,106],[94,105],[95,104],[96,103],[97,102],[98,101],[99,100],[100,99],[101,98],[102,97],[103,96],[104,95],[105,94],[106,93],[107,92],[108,91],[109,90],[110,89],[111,88],[112,87],[113,86],[114,85],[115,84],[116,83],[117,82],[118,81],[119,80],[120,79],[121,78],[122,77],[123,76],[124,75],[125,74],[126,73],[127,72],[128,71],[129,70],[130,69],[131,68],[132,67],[133,66],[134,65],[135,64],[136,63],[137,62],[138,61],[139,60],[140,59],[141,58],[142,57],[143,56],[144,55],[145,54],[146,53],[147,52],[148,51],[149,50],[150,49],[151,48],[152,47],[153,46],[154,45],[155,44],[156,43],[157,42],[158,41],[159,40],[160,39],[161,38],[162,37],[163,36],[164,35],[165,34],[166,33],[167,32],[168,31],[169,30],[170,29],[171,28],[172,27],[173,26],[174,25],[175,24],[176,23],[177,22],[178,21],[179,20],[180,19],[181,18],[182,17],[183,16],[184,15],[185,14],[186,13],[187,12],[188,11],[189,10],[190,9],[191,8],[192,7],[193,6],[194,5],[195,4],[196,3],[197,2],[198,1],[199,0]]
[0,0]
[200,200]

官方标答：

方法一：有限步数的广度优先

class Solution:
    def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
        """
        BLOCKED: 在包围圈中
        VALID:   不在包围圈中
        FOUND:   无论在不在包围圈中，但在 n(n-1)/2 步搜索的过程中经过了 target
        """
        BLOCKED, VALID, FOUND = -1, 0, 1
        BOUNDARY = 10**6

        if len(blocked) < 2:
            return True

        hash_blocked = set(tuple(pos) for pos in blocked)

        def check(start: List[int], finish: List[int]) -> int:
            sx, sy = start
            fx, fy = finish
            countdown = len(blocked) * (len(blocked) - 1) // 2
            
            q = deque([(sx, sy)])
            visited = set([(sx, sy)])
            
            while q and countdown > 0:
                x, y = q.popleft()
                for nx, ny in [(x + 1, y), (x - 1, y), (x, y + 1), (x, y - 1)]:
                    if 0 <= nx < BOUNDARY and 0 <= ny < BOUNDARY and (nx, ny) not in hash_blocked and (nx, ny) not in visited:
                        if (nx, ny) == (fx, fy):
                            return FOUND
                        countdown -= 1
                        q.append((nx, ny))
                        visited.add((nx, ny))
            
            if countdown > 0:
                return BLOCKED
            return VALID

        if (result := check(source, target)) == FOUND:
            return True
        elif result == BLOCKED:
            return False
        else:
            result = check(target, source)
            if result == BLOCKED:
                return False
            return True

方法二：离散化 + 广度优先搜索

class Solution:
    def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
        if len(blocked) < 2:
            return True
            
        BOUNDARY = 10**6

        # 离散化
        rows = sorted(set(pos[0] for pos in blocked) | {source[0], target[0]})
        columns = sorted(set(pos[1] for pos in blocked) | {source[1], target[1]})
        r_mapping, c_mapping = dict(), dict()
        

        r_id = (0 if rows[0] == 0 else 1)
        r_mapping[rows[0]] = r_id
        for i in range(1, len(rows)):
            r_id += (1 if rows[i] == rows[i - 1] + 1 else 2)
            r_mapping[rows[i]] = r_id
        if rows[-1] != BOUNDARY - 1:
            r_id += 1

        c_id = (0 if columns[0] == 0 else 1)
        c_mapping[columns[0]] = c_id
        for i in range(1, len(columns)):
            c_id += (1 if columns[i] == columns[i - 1] + 1 else 2)
            c_mapping[columns[i]] = c_id
        if columns[-1] != BOUNDARY - 1:
            c_id += 1

        grid = [[0] * (c_id + 1) for _ in range(r_id + 1)]
        for x, y in blocked:
            grid[r_mapping[x]][c_mapping[y]] = 1
        
        sx, sy = r_mapping[source[0]], c_mapping[source[1]]
        tx, ty = r_mapping[target[0]], c_mapping[target[1]]

        q = deque([(sx, sy)])
        grid[sx][sy] = 1
        while q:
            x, y = q.popleft()
            for nx, ny in [(x + 1, y), (x - 1, y), (x, y + 1), (x, y - 1)]:
                if 0 <= nx <= r_id and 0 <= ny <= c_id and grid[nx][ny] != 1:
                    if (nx, ny) == (tx, ty):
                        return True
                    q.append((nx, ny))
                    grid[nx][ny] = 1
        
        return False

可以说两种方法都特别巧了。

来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/escape-a-large-maze
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。

一些小知识：

二元list转set的操作一：blocked = set(map(tuple, blocked))
二元list转set的操作二：blocked = {tuple(p) for p in blocked}
python 3.8更新海象运算符 := 见 Python :=海象运算符最简单的解释

1036.逃离大迷宫

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