{ "data": { "question": { "questionId": "2673", "questionFrontendId": "2555", "boundTopicId": null, "title": "Maximize Win From Two Segments", "titleSlug": "maximize-win-from-two-segments", "content": "
There are some prizes on the X-axis. You are given an integer array prizePositions
that is sorted in non-decreasing order, where prizePositions[i]
is the position of the ith
prize. There could be different prizes at the same position on the line. You are also given an integer k
.
You are allowed to select two segments with integer endpoints. The length of each segment must be k
. You will collect all prizes whose position falls within at least one of the two selected segments (including the endpoints of the segments). The two selected segments may intersect.
k = 2
, you can choose segments [1, 3]
and [2, 4]
, and you will win any prize i that satisfies 1 <= prizePositions[i] <= 3
or 2 <= prizePositions[i] <= 4
.Return the maximum number of prizes you can win if you choose the two segments optimally.
\n\n\n
Example 1:
\n\n\nInput: prizePositions = [1,1,2,2,3,3,5], k = 2\nOutput: 7\nExplanation: In this example, you can win all 7 prizes by selecting two segments [1, 3] and [3, 5].\n\n\n
Example 2:
\n\n\nInput: prizePositions = [1,2,3,4], k = 0\nOutput: 2\nExplanation: For this example, one choice for the segments is\n\n[3, 3]
and[4, 4],
and you will be able to get2
prizes. \n
\n
Constraints:
\n\n1 <= prizePositions.length <= 105
1 <= prizePositions[i] <= 109
0 <= k <= 109
prizePositions
is sorted in non-decreasing order.\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Medium", "likes": 518, "dislikes": 38, "isLiked": null, "similarQuestions": "[{\"title\": \"Best Time to Buy and Sell Stock III\", \"titleSlug\": \"best-time-to-buy-and-sell-stock-iii\", \"difficulty\": \"Hard\", \"translatedTitle\": null}, {\"title\": \"Two Best Non-Overlapping Events\", \"titleSlug\": \"two-best-non-overlapping-events\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]", "exampleTestcases": "[1,1,2,2,3,3,5]\n2\n[1,2,3,4]\n0", "categoryTitle": "Algorithms", "contributors": [], "topicTags": [ { "name": "Array", "slug": "array", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Binary Search", "slug": "binary-search", "translatedName": null, "__typename": "TopicTagNode" }, { "name": "Sliding Window", "slug": "sliding-window", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "C++", "langSlug": "cpp", "code": "class Solution {\npublic:\n int maximizeWin(vector
Compiled with clang 11
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Your code is compiled with level two optimization (-O2
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Most standard library headers are already included automatically for your convenience.
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Most standard library headers are already included automatically for your convenience.
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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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