{ "data": { "question": { "questionId": "576", "questionFrontendId": "576", "categoryTitle": "Algorithms", "boundTopicId": 1515, "title": "Out of Boundary Paths", "titleSlug": "out-of-boundary-paths", "content": "

There is an m x n grid with a ball. The ball is initially at the position [startRow, startColumn]. You are allowed to move the ball to one of the four adjacent cells in the grid (possibly out of the grid crossing the grid boundary). You can apply at most maxMove moves to the ball.

\n\n

Given the five integers m, n, maxMove, startRow, startColumn, return the number of paths to move the ball out of the grid boundary. Since the answer can be very large, return it modulo 109 + 7.

\n\n

 

\n

Example 1:

\n\"\"\n
\nInput: m = 2, n = 2, maxMove = 2, startRow = 0, startColumn = 0\nOutput: 6\n
\n\n

Example 2:

\n\"\"\n
\nInput: m = 1, n = 3, maxMove = 3, startRow = 0, startColumn = 1\nOutput: 12\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "出界的路径数", "translatedContent": "

给你一个大小为 m x n 的网格和一个球。球的起始坐标为 [startRow, startColumn] 。你可以将球移到在四个方向上相邻的单元格内(可以穿过网格边界到达网格之外)。你 最多 可以移动 maxMove 次球。

\n\n

给你五个整数 mnmaxMovestartRow 以及 startColumn ,找出并返回可以将球移出边界的路径数量。因为答案可能非常大,返回对 109 + 7 取余 后的结果。

\n\n

 

\n\n

示例 1:

\n\"\"\n
\n输入:m = 2, n = 2, maxMove = 2, startRow = 0, startColumn = 0\n输出:6\n
\n\n

示例 2:

\n\"\"\n
\n输入:m = 1, n = 3, maxMove = 3, startRow = 0, startColumn = 1\n输出:12\n
\n\n

 

\n\n

提示:

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\"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false, \"cangjie\": false}", "topicTags": [ { "name": "Dynamic Programming", "slug": "dynamic-programming", "translatedName": "动态规划", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n int findPaths(int m, int n, int maxMove, int startRow, int startColumn) {\n \n }\n};", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class Solution {\n public int findPaths(int m, int n, int maxMove, int startRow, int startColumn) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class Solution(object):\n def findPaths(self, m, n, maxMove, startRow, startColumn):\n \"\"\"\n :type m: int\n :type n: int\n :type maxMove: int\n :type startRow: int\n :type startColumn: int\n :rtype: int\n \"\"\"\n ", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class Solution:\n def findPaths(self, m: int, n: int, maxMove: int, startRow: int, startColumn: int) -> int:\n ", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "int findPaths(int m, int n, int maxMove, int startRow, int startColumn) {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class Solution {\n public int FindPaths(int m, int n, int maxMove, int startRow, int startColumn) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number} m\n * @param {number} n\n * @param {number} maxMove\n * @param {number} startRow\n * @param {number} startColumn\n * @return {number}\n */\nvar findPaths = function(m, n, maxMove, startRow, startColumn) {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "function findPaths(m: number, n: number, maxMove: number, startRow: number, startColumn: number): number {\n \n};", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class Solution {\n\n /**\n * @param Integer $m\n * @param Integer $n\n * @param Integer $maxMove\n * @param Integer $startRow\n * @param Integer $startColumn\n * @return Integer\n */\n function findPaths($m, $n, $maxMove, $startRow, $startColumn) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "class Solution {\n func findPaths(_ m: Int, _ n: Int, _ maxMove: Int, _ startRow: Int, _ startColumn: Int) -> Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class Solution {\n fun findPaths(m: Int, n: Int, maxMove: Int, startRow: Int, startColumn: Int): Int {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Dart", "langSlug": "dart", "code": "class Solution {\n int findPaths(int m, int n, int maxMove, int startRow, int startColumn) {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "func findPaths(m int, n int, maxMove int, startRow int, startColumn int) int {\n \n}", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "# @param {Integer} m\n# @param {Integer} n\n# @param {Integer} max_move\n# @param {Integer} start_row\n# @param {Integer} start_column\n# @return {Integer}\ndef find_paths(m, n, max_move, start_row, start_column)\n \nend", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "object Solution {\n def findPaths(m: Int, n: Int, maxMove: Int, startRow: Int, startColumn: Int): Int = {\n \n }\n}", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "impl Solution {\n pub fn find_paths(m: i32, n: i32, max_move: i32, 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{\n func findPaths(m: Int64, n: Int64, maxMove: Int64, startRow: Int64, startColumn: Int64): Int64 {\n\n }\n}", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"41.4K\", \"totalSubmission\": \"87.9K\", \"totalAcceptedRaw\": 41430, \"totalSubmissionRaw\": 87911, \"acRate\": \"47.1%\"}", "hints": [ "Is traversing every path feasible? There are many possible paths for a small matrix. Try to optimize it.", "Can we use some space to store the number of paths and update them after every move?", "One obvious thing: the ball will go out of the boundary only by crossing it. Also, there is only one possible way the ball can go out of the boundary from the boundary cell except for corner cells. 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