{ "data": { "question": { "questionId": "1117", "questionFrontendId": "1162", "categoryTitle": "Algorithms", "boundTopicId": 5696, "title": "As Far from Land as Possible", "titleSlug": "as-far-from-land-as-possible", "content": "
Given an n x n
grid
containing only values 0
and 1
, where 0
represents water and 1
represents land, find a water cell such that its distance to the nearest land cell is maximized, and return the distance. If no land or water exists in the grid, return -1
.
The distance used in this problem is the Manhattan distance: the distance between two cells (x0, y0)
and (x1, y1)
is |x0 - x1| + |y0 - y1|
.
\n
Example 1:
\n\n\nInput: grid = [[1,0,1],[0,0,0],[1,0,1]]\nOutput: 2\nExplanation: The cell (1, 1) is as far as possible from all the land with distance 2.\n\n\n
Example 2:
\n\n\nInput: grid = [[1,0,0],[0,0,0],[0,0,0]]\nOutput: 4\nExplanation: The cell (2, 2) is as far as possible from all the land with distance 4.\n\n\n
\n
Constraints:
\n\nn == grid.length
n == grid[i].length
1 <= n <= 100
grid[i][j]
is 0
or 1
你现在手里有一份大小为 n x n
的 网格 grid
,上面的每个 单元格 都用 0
和 1
标记好了。其中 0
代表海洋,1
代表陆地。
请你找出一个海洋单元格,这个海洋单元格到离它最近的陆地单元格的距离是最大的,并返回该距离。如果网格上只有陆地或者海洋,请返回 -1
。
我们这里说的距离是「曼哈顿距离」( Manhattan Distance):(x0, y0)
和 (x1, y1)
这两个单元格之间的距离是 |x0 - x1| + |y0 - y1|
。
\n\n
示例 1:
\n\n\n\n
\n输入:grid = [[1,0,1],[0,0,0],[1,0,1]]\n输出:2\n解释: \n海洋单元格 (1, 1) 和所有陆地单元格之间的距离都达到最大,最大距离为 2。\n\n\n
示例 2:
\n\n\n\n
\n输入:grid = [[1,0,0],[0,0,0],[0,0,0]]\n输出:4\n解释: \n海洋单元格 (2, 2) 和所有陆地单元格之间的距离都达到最大,最大距离为 4。\n\n\n
\n\n
提示:
\n\n\n\nn == grid.length
n == grid[i].length
1 <= n <= 100
grid[i][j]
不是 0
就是 1
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