{ "data": { "question": { "questionId": "1348", "questionFrontendId": "2321", "boundTopicId": null, "title": "Maximum Score Of Spliced Array", "titleSlug": "maximum-score-of-spliced-array", "content": "
You are given two 0-indexed integer arrays nums1
and nums2
, both of length n
.
You can choose two integers left
and right
where 0 <= left <= right < n
and swap the subarray nums1[left...right]
with the subarray nums2[left...right]
.
nums1 = [1,2,3,4,5]
and nums2 = [11,12,13,14,15]
and you choose left = 1
and right = 2
, nums1
becomes [1,12,13,4,5]
and nums2
becomes [11,2,3,14,15]
.You may choose to apply the mentioned operation once or not do anything.
\n\nThe score of the arrays is the maximum of sum(nums1)
and sum(nums2)
, where sum(arr)
is the sum of all the elements in the array arr
.
Return the maximum possible score.
\n\nA subarray is a contiguous sequence of elements within an array. arr[left...right]
denotes the subarray that contains the elements of nums
between indices left
and right
(inclusive).
\n
Example 1:
\n\n\nInput: nums1 = [60,60,60], nums2 = [10,90,10]\nOutput: 210\nExplanation: Choosing left = 1 and right = 1, we have nums1 = [60,90,60] and nums2 = [10,60,10].\nThe score is max(sum(nums1), sum(nums2)) = max(210, 80) = 210.\n\n
Example 2:
\n\n\nInput: nums1 = [20,40,20,70,30], nums2 = [50,20,50,40,20]\nOutput: 220\nExplanation: Choosing left = 3, right = 4, we have nums1 = [20,40,20,40,20] and nums2 = [50,20,50,70,30].\nThe score is max(sum(nums1), sum(nums2)) = max(140, 220) = 220.\n\n\n
Example 3:
\n\n\nInput: nums1 = [7,11,13], nums2 = [1,1,1]\nOutput: 31\nExplanation: We choose not to swap any subarray.\nThe score is max(sum(nums1), sum(nums2)) = max(31, 3) = 31.\n\n\n
\n
Constraints:
\n\nn == nums1.length == nums2.length
1 <= n <= 105
1 <= nums1[i], nums2[i] <= 104
Compiled with clang 11
using the latest C++ 17 standard.
Your code is compiled with level two optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
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Python 2.7.12
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\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
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Node.js 16.13.2
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Your code is run with --harmony
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lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.
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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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Go 1.17.6
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Support https://godoc.org/github.com/emirpasic/gods library.
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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.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
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Kotlin 1.3.10
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Rust 1.58.1
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With bcmath module
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