![\"\"](\"https://assets.leetcode.com/uploads/2022/03/10/ex1new.jpg\")
You are given a 0-indexed 2D integer array grid of size m x n which represents a field. Each cell has one of three values:
0 represents grass,1 represents fire,2 represents a wall that you and fire cannot pass through.You are situated in the top-left cell, (0, 0), and you want to travel to the safehouse at the bottom-right cell, (m - 1, n - 1). Every minute, you may move to an adjacent grass cell. After your move, every fire cell will spread to all adjacent cells that are not walls.
Return the maximum number of minutes that you can stay in your initial position before moving while still safely reaching the safehouse. If this is impossible, return -1. If you can always reach the safehouse regardless of the minutes stayed, return 109.
Note that even if the fire spreads to the safehouse immediately after you have reached it, it will be counted as safely reaching the safehouse.
\n\nA cell is adjacent to another cell if the former is directly north, east, south, or west of the latter (i.e., their sides are touching).
\n\n\n
Example 1:
\n\n\nInput: grid = [[0,2,0,0,0,0,0],[0,0,0,2,2,1,0],[0,2,0,0,1,2,0],[0,0,2,2,2,0,2],[0,0,0,0,0,0,0]]\nOutput: 3\nExplanation: The figure above shows the scenario where you stay in the initial position for 3 minutes.\nYou will still be able to safely reach the safehouse.\nStaying for more than 3 minutes will not allow you to safely reach the safehouse.\n\n
Example 2:
\n![\"\"](\"https://assets.leetcode.com/uploads/2022/03/10/ex2new2.jpg\")
\n\nInput: grid = [[0,0,0,0],[0,1,2,0],[0,2,0,0]]\nOutput: -1\nExplanation: The figure above shows the scenario where you immediately move towards the safehouse.\nFire will spread to any cell you move towards and it is impossible to safely reach the safehouse.\nThus, -1 is returned.\n\n\n
Example 3:
\n![\"\"](\"https://assets.leetcode.com/uploads/2022/03/10/ex3new.jpg\")
\n\nInput: grid = [[0,0,0],[2,2,0],[1,2,0]]\nOutput: 1000000000\nExplanation: The figure above shows the initial grid.\nNotice that the fire is contained by walls and you will always be able to safely reach the safehouse.\nThus, 109 is returned.\n\n\n
\n
Constraints:
\n\nm == grid.lengthn == grid[i].length2 <= m, n <= 3004 <= m * n <= 2 * 104grid[i][j] is either 0, 1, or 2.grid[0][0] == grid[m - 1][n - 1] == 0给你一个下标从 0 开始大小为 m x n 的二维整数数组 grid ，它表示一个网格图。每个格子为下面 3 个值之一：
0 表示草地。1 表示着火的格子。2 表示一座墙，你跟火都不能通过这个格子。一开始你在最左上角的格子 (0, 0) ，你想要到达最右下角的安全屋格子 (m - 1, n - 1) 。每一分钟，你可以移动到 相邻 的草地格子。每次你移动 之后 ，着火的格子会扩散到所有不是墙的 相邻 格子。
请你返回你在初始位置可以停留的 最多 分钟数，且停留完这段时间后你还能安全到达安全屋。如果无法实现，请你返回 -1 。如果不管你在初始位置停留多久，你 总是 能到达安全屋，请你返回 109 。
注意，如果你到达安全屋后，火马上到了安全屋，这视为你能够安全到达安全屋。
\n\n如果两个格子有共同边，那么它们为 相邻 格子。
\n\n\n\n
示例 1：
\n\n
输入：grid = [[0,2,0,0,0,0,0],[0,0,0,2,2,1,0],[0,2,0,0,1,2,0],[0,0,2,2,2,0,2],[0,0,0,0,0,0,0]]\n输出：3\n解释：上图展示了你在初始位置停留 3 分钟后的情形。\n你仍然可以安全到达安全屋。\n停留超过 3 分钟会让你无法安全到达安全屋。\n\n
示例 2：
\n\n
输入：grid = [[0,0,0,0],[0,1,2,0],[0,2,0,0]]\n输出：-1\n解释：上图展示了你马上开始朝安全屋移动的情形。\n火会蔓延到你可以移动的所有格子，所以无法安全到达安全屋。\n所以返回 -1 。\n\n\n
示例 3：
\n\n
输入：grid = [[0,0,0],[2,2,0],[1,2,0]]\n输出：1000000000\n解释：上图展示了初始网格图。\n注意，由于火被墙围了起来，所以无论如何你都能安全到达安全屋。\n所以返回 109 。\n\n\n
\n\n
提示：
\n\nm == grid.lengthn == grid[i].length2 <= m, n <= 3004 <= m * n <= 2 * 104grid[i][j] 是 0 ，1 或者 2 。grid[0][0] == grid[m - 1][n - 1] == 0\\u7248\\u672c\\uff1a \\u7f16\\u8bd1\\u65f6\\uff0c\\u5c06\\u4f1a\\u91c7\\u7528 \\u4e3a\\u4e86\\u4f7f\\u7528\\u65b9\\u4fbf\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8\\u5bfc\\u5165\\u3002<\\/p>\"],\"java\":[\"Java\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u88ab\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u5305\\u542b Pair \\u7c7b: https:\\/\\/docs.oracle.com\\/javase\\/8\\/javafx\\/api\\/javafx\\/util\\/Pair.html <\\/p>\"],\"python\":[\"Python\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u5e38\\u7528\\u5e93\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8 \\u5bfc\\u5165\\uff0c\\u5982\\uff1aarray<\\/a>, bisect<\\/a>, collections<\\/a>\\u3002\\u5982\\u679c\\u60a8\\u9700\\u8981\\u4f7f\\u7528\\u5176\\u4ed6\\u5e93\\u51fd\\u6570\\uff0c\\u8bf7\\u81ea\\u884c\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u6ce8\\u610f Python 2.7 \\u5c06\\u57282020\\u5e74\\u540e\\u4e0d\\u518d\\u7ef4\\u62a4<\\/a>\\u3002 \\u5982\\u60f3\\u4f7f\\u7528\\u6700\\u65b0\\u7248\\u7684Python\\uff0c\\u8bf7\\u9009\\u62e9Python 3\\u3002<\\/p>\"],\"c\":[\"C\",\" \\u7248\\u672c\\uff1a \\u7f16\\u8bd1\\u65f6\\uff0c\\u5c06\\u4f1a\\u91c7\\u7528 \\u4e3a\\u4e86\\u4f7f\\u7528\\u65b9\\u4fbf\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u5982\\u60f3\\u4f7f\\u7528\\u54c8\\u5e0c\\u8868\\u8fd0\\u7b97, \\u60a8\\u53ef\\u4ee5\\u4f7f\\u7528 uthash<\\/a>\\u3002 \\\"uthash.h\\\"\\u5df2\\u7ecf\\u9ed8\\u8ba4\\u88ab\\u5bfc\\u5165\\u3002\\u8bf7\\u770b\\u5982\\u4e0b\\u793a\\u4f8b:<\\/p>\\r\\n\\r\\n 1. 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\\u6a21\\u5757\\u4e2d\\u63d0\\u4f9b\\uff1ahttps:\\/\\/www.rubydoc.info\\/github\\/kanwei\\/algorithms\\/Algorithms<\\/p>\"],\"swift\":[\"Swift\",\" \\u7248\\u672c\\uff1a \\u6211\\u4eec\\u901a\\u5e38\\u4fdd\\u8bc1\\u66f4\\u65b0\\u5230 Apple\\u653e\\u51fa\\u7684\\u6700\\u65b0\\u7248Swift<\\/a>\\u3002\\u5982\\u679c\\u60a8\\u53d1\\u73b0Swift\\u4e0d\\u662f\\u6700\\u65b0\\u7248\\u7684\\uff0c\\u8bf7\\u8054\\u7cfb\\u6211\\u4eec\\uff01\\u6211\\u4eec\\u5c06\\u5c3d\\u5feb\\u66f4\\u65b0\\u3002<\\/p>\"],\"golang\":[\"Go\",\" \\u7248\\u672c\\uff1a \\u652f\\u6301 https:\\/\\/godoc.org\\/github.com\\/emirpasic\\/gods@v1.18.1<\\/a> \\u7b2c\\u4e09\\u65b9\\u5e93\\u3002<\\/p>\"],\"python3\":[\"Python3\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u5e38\\u7528\\u5e93\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8 \\u5bfc\\u5165\\uff0c\\u5982array<\\/a>, bisect<\\/a>, collections<\\/a>\\u3002 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