{ "data": { "question": { "questionId": "3516", "questionFrontendId": "3242", "boundTopicId": null, "title": "Design Neighbor Sum Service", "titleSlug": "design-neighbor-sum-service", "content": "

You are given a n x n 2D array grid containing distinct elements in the range [0, n2 - 1].

\n\n

Implement the neighborSum class:

\n\n\n\n

\"\"

\n\n

 

\n

Example 1:

\n\n
\n

Input:

\n\n

["neighborSum", "adjacentSum", "adjacentSum", "diagonalSum", "diagonalSum"]

\n\n

[[[[0, 1, 2], [3, 4, 5], [6, 7, 8]]], [1], [4], [4], [8]]

\n\n

Output: [null, 6, 16, 16, 4]

\n\n

Explanation:

\n\n

\"\"

\n\n\n
\n\n

Example 2:

\n\n
\n

Input:

\n\n

["neighborSum", "adjacentSum", "diagonalSum"]

\n\n

[[[[1, 2, 0, 3], [4, 7, 15, 6], [8, 9, 10, 11], [12, 13, 14, 5]]], [15], [9]]

\n\n

Output: [null, 23, 45]

\n\n

Explanation:

\n\n

\"\"

\n\n\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 45, "dislikes": 5, "isLiked": null, "similarQuestions": "[{\"title\": \"Matrix Block Sum\", \"titleSlug\": \"matrix-block-sum\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Array With Elements Not Equal to Average of Neighbors\", \"titleSlug\": \"array-with-elements-not-equal-to-average-of-neighbors\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]", "exampleTestcases": "[\"neighborSum\",\"adjacentSum\",\"adjacentSum\",\"diagonalSum\",\"diagonalSum\"]\n[[[[0,1,2],[3,4,5],[6,7,8]]],[1],[4],[4],[8]]\n[\"neighborSum\",\"adjacentSum\",\"diagonalSum\"]\n[[[[1,2,0,3],[4,7,15,6],[8,9,10,11],[12,13,14,5]]],[15],[9]]", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Hash Table", "slug": "hash-table", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Design", "slug": "design", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Matrix", "slug": "matrix", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Simulation", "slug": "simulation", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class neighborSum {\npublic:\n neighborSum(vector>& grid) {\n \n }\n \n int adjacentSum(int value) {\n \n }\n \n int diagonalSum(int value) {\n \n }\n};\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * neighborSum* obj = new neighborSum(grid);\n * int param_1 = obj->adjacentSum(value);\n * int param_2 = obj->diagonalSum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Java", "langSlug": "java", "code": "class neighborSum {\n\n public neighborSum(int[][] grid) {\n \n }\n \n public int adjacentSum(int value) {\n \n }\n \n public int diagonalSum(int value) {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * neighborSum obj = new neighborSum(grid);\n * int param_1 = obj.adjacentSum(value);\n * int param_2 = obj.diagonalSum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Python", "langSlug": "python", "code": "class neighborSum(object):\n\n def __init__(self, grid):\n \"\"\"\n :type grid: List[List[int]]\n \"\"\"\n \n\n def adjacentSum(self, value):\n \"\"\"\n :type value: int\n :rtype: int\n \"\"\"\n \n\n def diagonalSum(self, value):\n \"\"\"\n :type value: int\n :rtype: int\n \"\"\"\n \n\n\n# Your neighborSum object will be instantiated and called as such:\n# obj = neighborSum(grid)\n# param_1 = obj.adjacentSum(value)\n# param_2 = obj.diagonalSum(value)", "__typename": "CodeSnippetNode" }, { "lang": "Python3", "langSlug": "python3", "code": "class neighborSum:\n\n def __init__(self, grid: List[List[int]]):\n \n\n def adjacentSum(self, value: int) -> int:\n \n\n def diagonalSum(self, value: int) -> int:\n \n\n\n# Your neighborSum object will be instantiated and called as such:\n# obj = neighborSum(grid)\n# param_1 = obj.adjacentSum(value)\n# param_2 = obj.diagonalSum(value)", "__typename": "CodeSnippetNode" }, { "lang": "C", "langSlug": "c", "code": "\n\n\ntypedef struct {\n \n} neighborSum;\n\n\nneighborSum* neighborSumCreate(int** grid, int gridSize, int* gridColSize) {\n \n}\n\nint neighborSumAdjacentSum(neighborSum* obj, int value) {\n \n}\n\nint neighborSumDiagonalSum(neighborSum* obj, int value) {\n \n}\n\nvoid neighborSumFree(neighborSum* obj) {\n \n}\n\n/**\n * Your neighborSum struct will be instantiated and called as such:\n * neighborSum* obj = neighborSumCreate(grid, gridSize, gridColSize);\n * int param_1 = neighborSumAdjacentSum(obj, value);\n \n * int param_2 = neighborSumDiagonalSum(obj, value);\n \n * neighborSumFree(obj);\n*/", "__typename": "CodeSnippetNode" }, { "lang": "C#", "langSlug": "csharp", "code": "public class neighborSum {\n\n public neighborSum(int[][] grid) {\n \n }\n \n public int AdjacentSum(int value) {\n \n }\n \n public int DiagonalSum(int value) {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * neighborSum obj = new neighborSum(grid);\n * int param_1 = obj.AdjacentSum(value);\n * int param_2 = obj.DiagonalSum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "JavaScript", "langSlug": "javascript", "code": "/**\n * @param {number[][]} grid\n */\nvar neighborSum = function(grid) {\n \n};\n\n/** \n * @param {number} value\n * @return {number}\n */\nneighborSum.prototype.adjacentSum = function(value) {\n \n};\n\n/** \n * @param {number} value\n * @return {number}\n */\nneighborSum.prototype.diagonalSum = function(value) {\n \n};\n\n/** \n * Your neighborSum object will be instantiated and called as such:\n * var obj = new neighborSum(grid)\n * var param_1 = obj.adjacentSum(value)\n * var param_2 = obj.diagonalSum(value)\n */", "__typename": "CodeSnippetNode" }, { "lang": "TypeScript", "langSlug": "typescript", "code": "class neighborSum {\n constructor(grid: number[][]) {\n \n }\n\n adjacentSum(value: number): number {\n \n }\n\n diagonalSum(value: number): number {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * var obj = new neighborSum(grid)\n * var param_1 = obj.adjacentSum(value)\n * var param_2 = obj.diagonalSum(value)\n */", "__typename": "CodeSnippetNode" }, { "lang": "PHP", "langSlug": "php", "code": "class neighborSum {\n /**\n * @param Integer[][] $grid\n */\n function __construct($grid) {\n \n }\n \n /**\n * @param Integer $value\n * @return Integer\n */\n function adjacentSum($value) {\n \n }\n \n /**\n * @param Integer $value\n * @return Integer\n */\n function diagonalSum($value) {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * $obj = neighborSum($grid);\n * $ret_1 = $obj->adjacentSum($value);\n * $ret_2 = $obj->diagonalSum($value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Swift", "langSlug": "swift", "code": "\nclass neighborSum {\n\n init(_ grid: [[Int]]) {\n \n }\n \n func adjacentSum(_ value: Int) -> Int {\n \n }\n \n func diagonalSum(_ value: Int) -> Int {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * let obj = neighborSum(grid)\n * let ret_1: Int = obj.adjacentSum(value)\n * let ret_2: Int = obj.diagonalSum(value)\n */", "__typename": "CodeSnippetNode" }, { "lang": "Kotlin", "langSlug": "kotlin", "code": "class neighborSum(grid: Array) {\n\n fun adjacentSum(value: Int): Int {\n \n }\n\n fun diagonalSum(value: Int): Int {\n \n }\n\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * var obj = neighborSum(grid)\n * var param_1 = obj.adjacentSum(value)\n * var param_2 = obj.diagonalSum(value)\n */", "__typename": "CodeSnippetNode" }, { "lang": "Dart", "langSlug": "dart", "code": "class neighborSum {\n\n neighborSum(List> grid) {\n \n }\n \n int adjacentSum(int value) {\n \n }\n \n int diagonalSum(int value) {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * neighborSum obj = neighborSum(grid);\n * int param1 = obj.adjacentSum(value);\n * int param2 = obj.diagonalSum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Go", "langSlug": "golang", "code": "type neighborSum struct {\n \n}\n\n\nfunc Constructor(grid [][]int) neighborSum {\n \n}\n\n\nfunc (this *neighborSum) AdjacentSum(value int) int {\n \n}\n\n\nfunc (this *neighborSum) DiagonalSum(value int) int {\n \n}\n\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * obj := Constructor(grid);\n * param_1 := obj.AdjacentSum(value);\n * param_2 := obj.DiagonalSum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Ruby", "langSlug": "ruby", "code": "class neighborSum\n\n=begin\n :type grid: Integer[][]\n=end\n def initialize(grid)\n \n end\n\n\n=begin\n :type value: Integer\n :rtype: Integer\n=end\n def adjacent_sum(value)\n \n end\n\n\n=begin\n :type value: Integer\n :rtype: Integer\n=end\n def diagonal_sum(value)\n \n end\n\n\nend\n\n# Your neighborSum object will be instantiated and called as such:\n# obj = neighborSum.new(grid)\n# param_1 = obj.adjacent_sum(value)\n# param_2 = obj.diagonal_sum(value)", "__typename": "CodeSnippetNode" }, { "lang": "Scala", "langSlug": "scala", "code": "class neighborSum(_grid: Array[Array[Int]]) {\n\n def adjacentSum(value: Int): Int = {\n \n }\n\n def diagonalSum(value: Int): Int = {\n \n }\n\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * val obj = new neighborSum(grid)\n * val param_1 = obj.adjacentSum(value)\n * val param_2 = obj.diagonalSum(value)\n */", "__typename": "CodeSnippetNode" }, { "lang": "Rust", "langSlug": "rust", "code": "struct neighborSum {\n\n}\n\n\n/** \n * `&self` means the method takes an immutable reference.\n * If you need a mutable reference, change it to `&mut self` instead.\n */\nimpl neighborSum {\n\n fn new(grid: Vec>) -> Self {\n \n }\n \n fn adjacent_sum(&self, value: i32) -> i32 {\n \n }\n \n fn diagonal_sum(&self, value: i32) -> i32 {\n \n }\n}\n\n/**\n * Your neighborSum object will be instantiated and called as such:\n * let obj = neighborSum::new(grid);\n * let ret_1: i32 = obj.adjacent_sum(value);\n * let ret_2: i32 = obj.diagonal_sum(value);\n */", "__typename": "CodeSnippetNode" }, { "lang": "Racket", "langSlug": "racket", "code": "(define neighbor-sum%\n (class object%\n (super-new)\n \n ; grid : (listof (listof exact-integer?))\n (init-field\n grid)\n \n ; adjacent-sum : exact-integer? -> exact-integer?\n (define/public (adjacent-sum value)\n )\n ; diagonal-sum : exact-integer? -> exact-integer?\n (define/public (diagonal-sum value)\n )))\n\n;; Your neighbor-sum% object will be instantiated and called as such:\n;; (define obj (new neighbor-sum% [grid grid]))\n;; (define param_1 (send obj adjacent-sum value))\n;; (define param_2 (send obj diagonal-sum value))", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec neighbor_sum_init_(Grid :: [[integer()]]) -> any().\nneighbor_sum_init_(Grid) ->\n .\n\n-spec neighbor_sum_adjacent_sum(Value :: integer()) -> integer().\nneighbor_sum_adjacent_sum(Value) ->\n .\n\n-spec neighbor_sum_diagonal_sum(Value :: integer()) -> integer().\nneighbor_sum_diagonal_sum(Value) ->\n .\n\n\n%% Your functions will be called as such:\n%% neighbor_sum_init_(Grid),\n%% Param_1 = neighbor_sum_adjacent_sum(Value),\n%% Param_2 = neighbor_sum_diagonal_sum(Value),\n\n%% neighbor_sum_init_ will be called before every test case, in which you can do some necessary initializations.", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule NeighborSum do\n @spec init_(grid :: [[integer]]) :: any\n def init_(grid) do\n \n end\n\n @spec adjacent_sum(value :: integer) :: integer\n def adjacent_sum(value) do\n \n end\n\n @spec diagonal_sum(value :: integer) :: integer\n def diagonal_sum(value) do\n \n end\nend\n\n# Your functions will be called as such:\n# NeighborSum.init_(grid)\n# param_1 = NeighborSum.adjacent_sum(value)\n# param_2 = NeighborSum.diagonal_sum(value)\n\n# NeighborSum.init_ will be called before every test case, in which you can do some necessary initializations.", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"26.5K\", \"totalSubmission\": \"31.5K\", \"totalAcceptedRaw\": 26504, \"totalSubmissionRaw\": 31483, \"acRate\": \"84.2%\"}", "hints": [ "Find the cell (i, j) in which the element is present.", "You can store the coordinates for each value." ], "solution": null, "status": null, "sampleTestCase": "[\"neighborSum\",\"adjacentSum\",\"adjacentSum\",\"diagonalSum\",\"diagonalSum\"]\n[[[[0,1,2],[3,4,5],[6,7,8]]],[1],[4],[4],[8]]", "metaData": "{\n \"classname\": \"neighborSum\",\n \"constructor\": {\n \"params\": [\n {\n \"type\": \"integer[][]\",\n \"name\": \"grid\"\n }\n ]\n },\n \"methods\": [\n {\n \"params\": [\n {\n \"type\": \"integer\",\n \"name\": \"value\"\n }\n ],\n \"name\": \"adjacentSum\",\n \"return\": {\n \"type\": \"integer\"\n }\n },\n {\n \"params\": [\n {\n \"type\": \"integer\",\n \"name\": \"value\"\n }\n ],\n \"name\": \"diagonalSum\",\n \"return\": {\n \"type\": \"integer\"\n }\n }\n ],\n \"return\": {\n \"type\": \"boolean\"\n },\n \"systemdesign\": true\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"

Compiled with clang 17 using the latest C++ 23 standard, and libstdc++ provided by GCC 13.

\\r\\n\\r\\n

Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

\\r\\n\\r\\n

Most standard library headers are already included automatically for your convenience.

\"], \"java\": [\"Java\", \"

OpenJDK 21. Using compile arguments: --enable-preview --release 21

\\r\\n\\r\\n

Most standard library headers are already included automatically for your convenience.

\\r\\n

Includes Pair class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.

\"], \"python\": [\"Python\", \"

Python 2.7.12.

\\r\\n\\r\\n

Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

\\r\\n\\r\\n

For Map/TreeMap data structure, you may use sortedcontainers library.

\\r\\n\\r\\n

Note that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.

\"], \"c\": [\"C\", \"

Compiled with gcc 13 using the gnu11 standard.

\\r\\n\\r\\n

Your code is compiled with level one optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

\\r\\n\\r\\n

Most standard library headers are already included automatically for your convenience.

\\r\\n\\r\\n

For hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:

\\r\\n\\r\\n

1. Adding an item to a hash.\\r\\n

\\r\\nstruct hash_entry {\\r\\n    int id;            /* we'll use this field as the key */\\r\\n    char name[10];\\r\\n    UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n    HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n
\\r\\n

\\r\\n\\r\\n

2. Looking up an item in a hash:\\r\\n

\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n    struct hash_entry *s;\\r\\n    HASH_FIND_INT(users, &user_id, s);\\r\\n    return s;\\r\\n}\\r\\n
\\r\\n

\\r\\n\\r\\n

3. Deleting an item in a hash:\\r\\n

\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n    HASH_DEL(users, user);  \\r\\n}\\r\\n
\\r\\n

\"], \"csharp\": [\"C#\", \"

C# 12 with .NET 8 runtime

\"], \"javascript\": [\"JavaScript\", \"

Node.js 20.10.0.

\\r\\n\\r\\n

Your code is run with --harmony flag, enabling new ES6 features.

\\r\\n\\r\\n

lodash.js library is included by default.

\\r\\n\\r\\n

For Priority Queue / Queue data structures, you may use 5.4.0 version of datastructures-js/priority-queue and 4.2.3 version of datastructures-js/queue.

\"], \"ruby\": [\"Ruby\", \"

Ruby 3.2

\\r\\n\\r\\n

Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms

\"], \"swift\": [\"Swift\", \"

Swift 5.9.

\\r\\n\\r\\n

You may use swift-algorithms 1.2.0 and swift-collections 1.1.0.

\"], \"golang\": [\"Go\", \"

Go 1.21

\\r\\n

Support https://pkg.go.dev/github.com/emirpasic/gods@v1.18.1 and https://pkg.go.dev/github.com/emirpasic/gods/v2@v2.0.0-alpha library.

\"], \"python3\": [\"Python3\", \"

Python 3.11.

\\r\\n\\r\\n

Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

\\r\\n\\r\\n

For Map/TreeMap data structure, you may use sortedcontainers library.

\"], \"scala\": [\"Scala\", \"

Scala 3.3.1.

\"], \"kotlin\": [\"Kotlin\", \"

Kotlin 1.9.0.

\\r\\n\\r\\n

We are using an experimental compiler provided by JetBrains.

\"], \"rust\": [\"Rust\", \"

Rust 1.79.0. Your code will be compiled with opt-level 2.

\\r\\n\\r\\n

Supports rand v0.8 and regex\\u00a0v1 from crates.io

\"], \"php\": [\"PHP\", \"

PHP 8.2.

\\r\\n

With bcmath module

\"], \"typescript\": [\"Typescript\", \"

TypeScript 5.1.6, Node.js 20.10.0.

\\r\\n\\r\\n

Compile Options: --alwaysStrict --strictBindCallApply --strictFunctionTypes --target ES2022

\\r\\n\\r\\n

Your code is run with --harmony flag, enabling new ES2022 features.

\\r\\n\\r\\n

lodash.js library is included by default.

\"], \"racket\": [\"Racket\", \"

Racket CS v8.11

\\r\\n\\r\\n

Using #lang racket

\\r\\n\\r\\n

Required data/gvector data/queue data/order data/heap automatically for your convenience

\"], \"erlang\": [\"Erlang\", \"Erlang/OTP 26\"], \"elixir\": [\"Elixir\", \"Elixir 1.15 with Erlang/OTP 26\"], \"dart\": [\"Dart\", \"

Dart 3.2. You may use package collection

\\r\\n\\r\\n

Your code will be run directly without compiling

\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }