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https://gitee.com/coder-xiaomo/leetcode-problemset
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90 lines
8.4 KiB
JSON
90 lines
8.4 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1327",
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"questionFrontendId": "1204",
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"boundTopicId": null,
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"title": "Last Person to Fit in the Bus",
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"titleSlug": "last-person-to-fit-in-the-bus",
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"content": "<p>Table: <code>Queue</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| person_id | int |\n| person_name | varchar |\n| weight | int |\n| turn | int |\n+-------------+---------+\nperson_id column contains unique values.\nThis table has the information about all people waiting for a bus.\nThe person_id and turn columns will contain all numbers from 1 to n, where n is the number of rows in the table.\nturn determines the order of which the people will board the bus, where turn=1 denotes the first person to board and turn=n denotes the last person to board.\nweight is the weight of the person in kilograms.\n</pre>\n\n<p> </p>\n\n<p>There is a queue of people waiting to board a bus. However, the bus has a weight limit of <code>1000</code><strong> kilograms</strong>, so there may be some people who cannot board.</p>\n\n<p>Write a solution to find the <code>person_name</code> of the <strong>last person</strong> that can fit on the bus without exceeding the weight limit. The test cases are generated such that the first person does not exceed the weight limit.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nQueue table:\n+-----------+-------------+--------+------+\n| person_id | person_name | weight | turn |\n+-----------+-------------+--------+------+\n| 5 | Alice | 250 | 1 |\n| 4 | Bob | 175 | 5 |\n| 3 | Alex | 350 | 2 |\n| 6 | John Cena | 400 | 3 |\n| 1 | Winston | 500 | 6 |\n| 2 | Marie | 200 | 4 |\n+-----------+-------------+--------+------+\n<strong>Output:</strong> \n+-------------+\n| person_name |\n+-------------+\n| John Cena |\n+-------------+\n<strong>Explanation:</strong> The folowing table is ordered by the turn for simplicity.\n+------+----+-----------+--------+--------------+\n| Turn | ID | Name | Weight | Total Weight |\n+------+----+-----------+--------+--------------+\n| 1 | 5 | Alice | 250 | 250 |\n| 2 | 3 | Alex | 350 | 600 |\n| 3 | 6 | John Cena | 400 | 1000 | (last person to board)\n| 4 | 2 | Marie | 200 | 1200 | (cannot board)\n| 5 | 4 | Bob | 175 | ___ |\n| 6 | 1 | Winston | 500 | ___ |\n+------+----+-----------+--------+--------------+\n</pre>\n",
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"difficulty": "Medium",
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"likes": 565,
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"exampleTestcases": "{\"headers\":{\"Queue\":[\"person_id\",\"person_name\",\"weight\",\"turn\"]},\"rows\":{\"Queue\":[[5,\"Alice\",250,1],[4,\"Bob\",175,5],[3,\"Alex\",350,2],[6,\"John Cena\",400,3],[1,\"Winston\",500,6],[2,\"Marie\",200,4]]}}",
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"categoryTitle": "Database",
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef last_passenger(queue: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Queue\":[\"person_id\",\"person_name\",\"weight\",\"turn\"]},\"rows\":{\"Queue\":[[5,\"Alice\",250,1],[4,\"Bob\",175,5],[3,\"Alex\",350,2],[6,\"John Cena\",400,3],[1,\"Winston\",500,6],[2,\"Marie\",200,4]]}}",
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"metaData": "{\"manual\": false, \"mysql\": [\"Create table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)\"], \"mssql\": [\"Create table Queue (person_id int, person_name varchar(30), weight int, turn int)\"], \"oraclesql\": [\"Create table Queue (person_id int, person_name varchar(30), weight int, turn int)\"], \"database\": true, \"name\": \"last_passenger\", \"pythondata\": [\"Queue = pd.DataFrame([], columns=['person_id', 'person_name', 'weight', 'turn']).astype({'person_id':'Int64', 'person_name':'object', 'weight':'Int64', 'turn':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)\"], \"database_schema\": {\"Queue\": {\"person_id\": \"INT\", \"person_name\": \"VARCHAR(30)\", \"weight\": \"INT\", \"turn\": \"INT\"}}}",
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"Create table If Not Exists Queue (person_id int, person_name varchar(30), weight int, turn int)",
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"Truncate table Queue",
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"insert into Queue (person_id, person_name, weight, turn) values ('5', 'Alice', '250', '1')",
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"insert into Queue (person_id, person_name, weight, turn) values ('4', 'Bob', '175', '5')",
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"insert into Queue (person_id, person_name, weight, turn) values ('3', 'Alex', '350', '2')",
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"insert into Queue (person_id, person_name, weight, turn) values ('6', 'John Cena', '400', '3')",
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"insert into Queue (person_id, person_name, weight, turn) values ('1', 'Winston', '500', '6')",
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"insert into Queue (person_id, person_name, weight, turn) values ('2', 'Marie', '200', '4')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |