mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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70 lines
5.6 KiB
JSON
70 lines
5.6 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1862",
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"questionFrontendId": "1715",
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"categoryTitle": "Database",
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"boundTopicId": 558351,
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"title": "Count Apples and Oranges",
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"titleSlug": "count-apples-and-oranges",
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"content": null,
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"translatedTitle": "苹果和橘子的个数",
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 11,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[]",
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"contributors": [],
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"langToValidPlayground": null,
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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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"__typename": "TopicTagNode"
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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\": \"4.5K\", \"totalSubmission\": \"6.2K\", \"totalAcceptedRaw\": 4475, \"totalSubmissionRaw\": 6226, \"acRate\": \"71.9%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Boxes\":[\"box_id\",\"chest_id\",\"apple_count\",\"orange_count\"],\"Chests\":[\"chest_id\",\"apple_count\",\"orange_count\"]},\"rows\":{\"Boxes\":[[2,null,6,15],[18,14,4,15],[19,3,8,4],[12,2,19,20],[20,6,12,9],[8,6,9,9],[3,14,16,7]],\"Chests\":[[6,5,6],[14,20,10],[2,8,8],[3,19,4],[16,19,19]]}}",
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"metaData": "{\"mysql\":[\"Create table If Not Exists Boxes (box_id int, chest_id int, apple_count int, orange_count int)\",\"Create table If Not Exists Chests (chest_id int, apple_count int, orange_count int)\"],\"mssql\":[\"Create table Boxes (box_id int, chest_id int, apple_count int, orange_count int)\",\"Create table Chests (chest_id int, apple_count int, orange_count int)\"],\"oraclesql\":[\"Create table Boxes (box_id int, chest_id int, apple_count int, orange_count int)\",\"Create table Chests (chest_id int, apple_count int, orange_count int)\"],\"database\":true,\"name\":\"count_apples_and_oranges\",\"pythondata\":[\"Boxes = pd.DataFrame([], columns=['box_id', 'chest_id', 'apple_count', 'orange_count']).astype({'box_id':'Int64', 'chest_id':'Int64', 'apple_count':'Int64', 'orange_count':'Int64'})\",\"Chests = pd.DataFrame([], columns=['chest_id', 'apple_count', 'orange_count']).astype({'chest_id':'Int64', 'apple_count':'Int64', 'orange_count':'Int64'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Boxes (box_id int, chest_id int, apple_count int, orange_count int)\\n\",\"Create table If Not Exists Chests (chest_id int, apple_count int, orange_count int)\"],\"database_schema\":{\"Boxes\":{\"box_id\":\"INT\",\"chest_id\":\"INT\",\"apple_count\":\"INT\",\"orange_count\":\"INT\"},\"Chests\":{\"chest_id\":\"INT\",\"apple_count\":\"INT\",\"orange_count\":\"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 Boxes (box_id int, chest_id int, apple_count int, orange_count int)",
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"Create table If Not Exists Chests (chest_id int, apple_count int, orange_count int)",
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"Truncate table Boxes",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('2', 'None', '6', '15')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('18', '14', '4', '15')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('19', '3', '8', '4')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('12', '2', '19', '20')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('20', '6', '12', '9')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('8', '6', '9', '9')",
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"insert into Boxes (box_id, chest_id, apple_count, orange_count) values ('3', '14', '16', '7')",
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"Truncate table Chests",
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"insert into Chests (chest_id, apple_count, orange_count) values ('6', '5', '6')",
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"insert into Chests (chest_id, apple_count, orange_count) values ('14', '20', '10')",
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"insert into Chests (chest_id, apple_count, orange_count) values ('2', '8', '8')",
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"insert into Chests (chest_id, apple_count, orange_count) values ('3', '19', '4')",
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"insert into Chests (chest_id, apple_count, orange_count) values ('16', '19', '19')"
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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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"book": null,
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"isSubscribed": false,
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"isDailyQuestion": false,
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"dailyRecordStatus": null,
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"editorType": "CKEDITOR",
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"ugcQuestionId": null,
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"Boxes\":[\"box_id\",\"chest_id\",\"apple_count\",\"orange_count\"],\"Chests\":[\"chest_id\",\"apple_count\",\"orange_count\"]},\"rows\":{\"Boxes\":[[2,null,6,15],[18,14,4,15],[19,3,8,4],[12,2,19,20],[20,6,12,9],[8,6,9,9],[3,14,16,7]],\"Chests\":[[6,5,6],[14,20,10],[2,8,8],[3,19,4],[16,19,19]]}}",
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"__typename": "QuestionNode"
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}
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}
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} |