{ "data": { "question": { "questionId": "2380", "questionFrontendId": "2286", "categoryTitle": "Algorithms", "boundTopicId": 1518390, "title": "Booking Concert Tickets in Groups", "titleSlug": "booking-concert-tickets-in-groups", "content": "
A concert hall has n
rows numbered from 0
to n - 1
, each with m
seats, numbered from 0
to m - 1
. You need to design a ticketing system that can allocate seats in the following cases:
k
spectators can sit together in a row.k
spectators can get a seat. They may or may not sit together.Note that the spectators are very picky. Hence:
\n\nmaxRow
. maxRow
can vary from group to group.Implement the BookMyShow
class:
BookMyShow(int n, int m)
Initializes the object with n
as number of rows and m
as number of seats per row.int[] gather(int k, int maxRow)
Returns an array of length 2
denoting the row and seat number (respectively) of the first seat being allocated to the k
members of the group, who must sit together. In other words, it returns the smallest possible r
and c
such that all [c, c + k - 1]
seats are valid and empty in row r
, and r <= maxRow
. Returns []
in case it is not possible to allocate seats to the group.boolean scatter(int k, int maxRow)
Returns true
if all k
members of the group can be allocated seats in rows 0
to maxRow
, who may or may not sit together. If the seats can be allocated, it allocates k
seats to the group with the smallest row numbers, and the smallest possible seat numbers in each row. Otherwise, returns false
.\n
Example 1:
\n\n\nInput\n["BookMyShow", "gather", "gather", "scatter", "scatter"]\n[[2, 5], [4, 0], [2, 0], [5, 1], [5, 1]]\nOutput\n[null, [0, 0], [], true, false]\n\nExplanation\nBookMyShow bms = new BookMyShow(2, 5); // There are 2 rows with 5 seats each \nbms.gather(4, 0); // return [0, 0]\n // The group books seats [0, 3] of row 0. \nbms.gather(2, 0); // return []\n // There is only 1 seat left in row 0,\n // so it is not possible to book 2 consecutive seats. \nbms.scatter(5, 1); // return True\n // The group books seat 4 of row 0 and seats [0, 3] of row 1. \nbms.scatter(5, 1); // return False\n // There is only one seat left in the hall.\n\n\n
\n
Constraints:
\n\n1 <= n <= 5 * 104
1 <= m, k <= 109
0 <= maxRow <= n - 1
5 * 104
calls in total will be made to gather
and scatter
.一个音乐会总共有 n
排座位,编号从 0
到 n - 1
,每一排有 m
个座椅,编号为 0
到 m - 1
。你需要设计一个买票系统,针对以下情况进行座位安排:
k
位观众坐在 同一排座位,且座位连续 。k
位观众中 每一位 都有座位坐,但他们 不一定 坐在一起。由于观众非常挑剔,所以:
\n\nmaxRow
,这个组才能订座位。每一组的 maxRow
可能 不同 。请你实现 BookMyShow
类:
BookMyShow(int n, int m)
,初始化对象,n
是排数,m
是每一排的座位数。int[] gather(int k, int maxRow)
返回长度为 2
的数组,表示 k
个成员中 第一个座位 的排数和座位编号,这 k
位成员必须坐在 同一排座位,且座位连续 。换言之,返回最小可能的 r
和 c
满足第 r
排中 [c, c + k - 1]
的座位都是空的,且 r <= maxRow
。如果 无法 安排座位,返回 []
。boolean scatter(int k, int maxRow)
如果组里所有 k
个成员 不一定 要坐在一起的前提下,都能在第 0
排到第 maxRow
排之间找到座位,那么请返回 true
。这种情况下,每个成员都优先找排数 最小 ,然后是座位编号最小的座位。如果不能安排所有 k
个成员的座位,请返回 false
。\n\n
示例 1:
\n\n\n输入:\n[\"BookMyShow\", \"gather\", \"gather\", \"scatter\", \"scatter\"]\n[[2, 5], [4, 0], [2, 0], [5, 1], [5, 1]]\n输出:\n[null, [0, 0], [], true, false]\n\n解释:\nBookMyShow bms = new BookMyShow(2, 5); // 总共有 2 排,每排 5 个座位。\nbms.gather(4, 0); // 返回 [0, 0]\n // 这一组安排第 0 排 [0, 3] 的座位。\nbms.gather(2, 0); // 返回 []\n // 第 0 排只剩下 1 个座位。\n // 所以无法安排 2 个连续座位。\nbms.scatter(5, 1); // 返回 True\n // 这一组安排第 0 排第 4 个座位和第 1 排 [0, 3] 的座位。\nbms.scatter(5, 1); // 返回 False\n // 总共只剩下 1 个座位。\n\n\n
\n\n
提示:
\n\n1 <= n <= 5 * 104
1 <= m, k <= 109
0 <= maxRow <= n - 1
gather
和 scatter
总 调用次数不超过 5 * 104
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"book": null,
"isSubscribed": false,
"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "[\"BookMyShow\",\"gather\",\"gather\",\"scatter\",\"scatter\"]\n[[2,5],[4,0],[2,0],[5,1],[5,1]]",
"__typename": "QuestionNode"
}
}
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