mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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61 lines
4.7 KiB
JSON
61 lines
4.7 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "3554",
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"questionFrontendId": "3246",
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"categoryTitle": "Database",
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"boundTopicId": 2869459,
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"title": "Premier League Table Ranking",
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"titleSlug": "premier-league-table-ranking",
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"content": null,
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"translatedTitle": "英超积分榜排名",
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Easy",
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"likes": 0,
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"similarQuestions": "[]",
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": "数据库",
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"32\", \"totalSubmission\": \"35\", \"totalAcceptedRaw\": 32, \"totalSubmissionRaw\": 35, \"acRate\": \"91.4%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"TeamStats\":[\"team_id\",\"team_name\",\"matches_played\",\"wins\",\"draws\",\"losses\"]},\"rows\":{\"TeamStats\":[[1,\"Manchester City\",10,6,2,2],[2,\"Liverpool\",10,6,2,2],[3,\"Chelsea\",10,5,3,2],[4,\"Arsenal\",10,4,4,2],[5,\"Tottenham\",10,3,5,2]]}}",
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"metaData": "{\"mysql\":[\"Create table if not exists TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)\"],\"mssql\":[\"Create table TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)\"],\"oraclesql\":[\"Create table TeamStats( team_id NUMBER, team_name varchar2(100),matches_played NUMBER, wins NUMBER,draws NUMBER,losses NUMBER)\"],\"database\":true,\"name\":\"calculate_team_standings\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS TeamStats (\\n team_id INT,\\n team_name VARCHAR(100),\\n matches_played INT,\\n wins INT,\\n draws INT,\\n losses INT\\n);\\n\"],\"pythondata\":[\"TeamStats = pd.DataFrame(data, columns=[\\\"team_id\\\", \\\"team_name\\\", \\\"matches_played\\\", \\\"wins\\\", \\\"draws\\\", \\\"losses\\\"]).astype({\\\"team_id\\\": \\\"int\\\", \\\"team_name\\\": \\\"string\\\", \\\"matches_played\\\": \\\"int\\\", \\\"wins\\\": \\\"int\\\", \\\"draws\\\": \\\"int\\\", \\\"losses\\\": \\\"int\\\"})\\n\"],\"database_schema\":{\"TeamStats\":{\"team_id\":\"INT\",\"team_name\":\"VARCHAR(100)\",\"matches_played\":\"INT\",\"wins\":\"INT\",\"draws\":\"INT\",\"losses\":\"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table if not exists TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)",
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"Truncate table TeamStats",
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"insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('1', 'Manchester City', '10', '6', '2', '2')",
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"insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('2', 'Liverpool', '10', '6', '2', '2')",
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"insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('3', 'Chelsea', '10', '5', '3', '2')",
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"insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('4', 'Arsenal', '10', '4', '4', '2')",
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"insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('5', 'Tottenham', '10', '3', '5', '2')"
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],
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"enableRunCode": true,
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"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/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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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"TeamStats\":[\"team_id\",\"team_name\",\"matches_played\",\"wins\",\"draws\",\"losses\"]},\"rows\":{\"TeamStats\":[[1,\"Manchester City\",10,6,2,2],[2,\"Liverpool\",10,6,2,2],[3,\"Chelsea\",10,5,3,2],[4,\"Arsenal\",10,4,4,2],[5,\"Tottenham\",10,3,5,2]]}}",
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"__typename": "QuestionNode"
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}
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}
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} |