{ "data": { "question": { "questionId": "2603", "questionFrontendId": "2512", "categoryTitle": "Algorithms", "boundTopicId": 2029965, "title": "Reward Top K Students", "titleSlug": "reward-top-k-students", "content": "
You are given two string arrays positive_feedback
and negative_feedback
, containing the words denoting positive and negative feedback, respectively. Note that no word is both positive and negative.
Initially every student has 0
points. Each positive word in a feedback report increases the points of a student by 3
, whereas each negative word decreases the points by 1
.
You are given n
feedback reports, represented by a 0-indexed string array report
and a 0-indexed integer array student_id
, where student_id[i]
represents the ID of the student who has received the feedback report report[i]
. The ID of each student is unique.
Given an integer k
, return the top k
students after ranking them in non-increasing order by their points. In case more than one student has the same points, the one with the lower ID ranks higher.
\n
Example 1:
\n\n\nInput: positive_feedback = ["smart","brilliant","studious"], negative_feedback = ["not"], report = ["this student is studious","the student is smart"], student_id = [1,2], k = 2\nOutput: [1,2]\nExplanation: \nBoth the students have 1 positive feedback and 3 points but since student 1 has a lower ID he ranks higher.\n\n\n
Example 2:
\n\n\nInput: positive_feedback = ["smart","brilliant","studious"], negative_feedback = ["not"], report = ["this student is not studious","the student is smart"], student_id = [1,2], k = 2\nOutput: [2,1]\nExplanation: \n- The student with ID 1 has 1 positive feedback and 1 negative feedback, so he has 3-1=2 points. \n- The student with ID 2 has 1 positive feedback, so he has 3 points. \nSince student 2 has more points, [2,1] is returned.\n\n\n
\n
Constraints:
\n\n1 <= positive_feedback.length, negative_feedback.length <= 104
1 <= positive_feedback[i].length, negative_feedback[j].length <= 100
positive_feedback[i]
and negative_feedback[j]
consists of lowercase English letters.positive_feedback
and negative_feedback
.n == report.length == student_id.length
1 <= n <= 104
report[i]
consists of lowercase English letters and spaces ' '
.report[i]
.1 <= report[i].length <= 100
1 <= student_id[i] <= 109
student_id[i]
are unique.1 <= k <= n
给你两个字符串数组 positive_feedback
和 negative_feedback
,分别包含表示正面的和负面的词汇。不会 有单词同时是正面的和负面的。
一开始,每位学生分数为 0
。每个正面的单词会给学生的分数 加 3
分,每个负面的词会给学生的分数 减 1
分。
给你 n
个学生的评语,用一个下标从 0 开始的字符串数组 report
和一个下标从 0 开始的整数数组 student_id
表示,其中 student_id[i]
表示这名学生的 ID ,这名学生的评语是 report[i]
。每名学生的 ID 互不相同。
给你一个整数 k
,请你返回按照得分 从高到低 最顶尖的 k
名学生。如果有多名学生分数相同,ID 越小排名越前。
\n\n
示例 1:
\n\n输入:positive_feedback = [\"smart\",\"brilliant\",\"studious\"], negative_feedback = [\"not\"], report = [\"this student is studious\",\"the student is smart\"], student_id = [1,2], k = 2\n输出:[1,2]\n解释:\n两名学生都有 1 个正面词汇,都得到 3 分,学生 1 的 ID 更小所以排名更前。\n\n\n
示例 2:
\n\n输入:positive_feedback = [\"smart\",\"brilliant\",\"studious\"], negative_feedback = [\"not\"], report = [\"this student is not studious\",\"the student is smart\"], student_id = [1,2], k = 2\n输出:[2,1]\n解释:\n- ID 为 1 的学生有 1 个正面词汇和 1 个负面词汇,所以得分为 3-1=2 分。\n- ID 为 2 的学生有 1 个正面词汇,得分为 3 分。\n学生 2 分数更高,所以返回 [2,1] 。\n\n\n
\n\n
提示:
\n\n1 <= positive_feedback.length, negative_feedback.length <= 104
1 <= positive_feedback[i].length, negative_feedback[j].length <= 100
positive_feedback[i]
和 negative_feedback[j]
都只包含小写英文字母。positive_feedback
和 negative_feedback
中不会有相同单词。n == report.length == student_id.length
1 <= n <= 104
report[i]
只包含小写英文字母和空格 ' '
。report[i]
中连续单词之间有单个空格隔开。1 <= report[i].length <= 100
1 <= student_id[i] <= 109
student_id[i]
的值 互不相同 。1 <= k <= n
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