{ "data": { "question": { "questionId": "2707", "questionFrontendId": "2570", "boundTopicId": null, "title": "Merge Two 2D Arrays by Summing Values", "titleSlug": "merge-two-2d-arrays-by-summing-values", "content": "

You are given two 2D integer arrays nums1 and nums2.

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Each array contains unique ids and is sorted in ascending order by id.

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Merge the two arrays into one array that is sorted in ascending order by id, respecting the following conditions:

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Return the resulting array. The returned array must be sorted in ascending order by id.

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Example 1:

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\nInput: nums1 = [[1,2],[2,3],[4,5]], nums2 = [[1,4],[3,2],[4,1]]\nOutput: [[1,6],[2,3],[3,2],[4,6]]\nExplanation: The resulting array contains the following:\n- id = 1, the value of this id is 2 + 4 = 6.\n- id = 2, the value of this id is 3.\n- id = 3, the value of this id is 2.\n- id = 4, the value of this id is 5 + 1 = 6.\n
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Example 2:

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\nInput: nums1 = [[2,4],[3,6],[5,5]], nums2 = [[1,3],[4,3]]\nOutput: [[1,3],[2,4],[3,6],[4,3],[5,5]]\nExplanation: There are no common ids, so we just include each id with its value in the resulting list.\n
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Constraints:

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Compiled with clang 11 using the latest C++ 20 standard.

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

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

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OpenJDK 17. Java 8 features such as lambda expressions and stream API can be used.

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

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

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Python 2.7.12.

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

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

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

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Compiled with gcc 8.2 using the gnu11 standard.

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Your code is compiled with level one optimization (-O1). 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.

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

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

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\\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

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C# 10 with .NET 6 runtime

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Node.js 16.13.2.

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

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lodash.js library is included by default.

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For Priority Queue / Queue data structures, you may use 5.3.0 version of datastructures-js/priority-queue and 4.2.1 version of datastructures-js/queue.

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Ruby 3.1

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

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Swift 5.5.2.

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Go 1.21

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Support https://godoc.org/github.com/emirpasic/gods@v1.18.1 library.

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Python 3.10.

\\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.

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Scala 2.13.7.

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Kotlin 1.9.0.

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Rust 1.58.1

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Supports rand v0.6\\u00a0from crates.io

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PHP 8.1.

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With bcmath module

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TypeScript 5.1.6, Node.js 16.13.2.

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Dart 2.17.3

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

Your code will be run directly without compiling

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