{ "data": { "question": { "questionId": "2211", "questionFrontendId": "2090", "boundTopicId": null, "title": "K Radius Subarray Averages", "titleSlug": "k-radius-subarray-averages", "content": "

You are given a 0-indexed array nums of n integers, and an integer k.

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The k-radius average for a subarray of nums centered at some index i with the radius k is the average of all elements in nums between the indices i - k and i + k (inclusive). If there are less than k elements before or after the index i, then the k-radius average is -1.

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Build and return an array avgs of length n where avgs[i] is the k-radius average for the subarray centered at index i.

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The average of x elements is the sum of the x elements divided by x, using integer division. The integer division truncates toward zero, which means losing its fractional part.

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Example 1:

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\nInput: nums = [7,4,3,9,1,8,5,2,6], k = 3\nOutput: [-1,-1,-1,5,4,4,-1,-1,-1]\nExplanation:\n- avg[0], avg[1], and avg[2] are -1 because there are less than k elements before each index.\n- The sum of the subarray centered at index 3 with radius 3 is: 7 + 4 + 3 + 9 + 1 + 8 + 5 = 37.\n  Using integer division, avg[3] = 37 / 7 = 5.\n- For the subarray centered at index 4, avg[4] = (4 + 3 + 9 + 1 + 8 + 5 + 2) / 7 = 4.\n- For the subarray centered at index 5, avg[5] = (3 + 9 + 1 + 8 + 5 + 2 + 6) / 7 = 4.\n- avg[6], avg[7], and avg[8] are -1 because there are less than k elements after each index.\n
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Example 2:

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\nInput: nums = [100000], k = 0\nOutput: [100000]\nExplanation:\n- The sum of the subarray centered at index 0 with radius 0 is: 100000.\n  avg[0] = 100000 / 1 = 100000.\n
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Example 3:

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\nInput: nums = [8], k = 100000\nOutput: [-1]\nExplanation: \n- avg[0] is -1 because there are less than k elements before and after index 0.\n
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Constraints:

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Be sure to use a 64-bit integer type for the prefix sum array." ], "solution": { "id": "1867", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "[7,4,3,9,1,8,5,2,6]\n3", "metaData": "{\n \"name\": \"getAverages\",\n \"params\": [\n {\n \"name\": \"nums\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer\",\n \"name\": \"k\"\n }\n ],\n \"return\": {\n \"type\": \"integer[]\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"

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

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

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

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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Python 3.10.

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Kotlin 1.9.0.

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Dart 2.17.3

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