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https://gitee.com/coder-xiaomo/leetcode-problemset
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67 lines
6.1 KiB
JSON
67 lines
6.1 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1198",
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"questionFrontendId": "1098",
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"boundTopicId": null,
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"title": "Unpopular Books",
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"titleSlug": "unpopular-books",
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"content": null,
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 197,
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"dislikes": 585,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Books\":[\"book_id\",\"name\",\"available_from\"],\"Orders\":[\"order_id\",\"book_id\",\"quantity\",\"dispatch_date\"]},\"rows\":{\"Books\":[[1,\"Kalila And Demna\",\"2010-01-01\"],[2,\"28 Letters\",\"2012-05-12\"],[3,\"The Hobbit\",\"2019-06-10\"],[4,\"13 Reasons Why\",\"2019-06-01\"],[5,\"The Hunger Games\",\"2008-09-21\"]],\"Orders\":[[1,1,2,\"2018-07-26\"],[2,1,1,\"2018-11-05\"],[3,3,8,\"2019-06-11\"],[4,4,6,\"2019-06-05\"],[5,4,5,\"2019-06-20\"],[6,5,9,\"2009-02-02\"],[7,5,8,\"2010-04-13\"]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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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": null,
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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\": \"37.4K\", \"totalSubmission\": \"86.3K\", \"totalAcceptedRaw\": 37443, \"totalSubmissionRaw\": 86315, \"acRate\": \"43.4%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Books\":[\"book_id\",\"name\",\"available_from\"],\"Orders\":[\"order_id\",\"book_id\",\"quantity\",\"dispatch_date\"]},\"rows\":{\"Books\":[[1,\"Kalila And Demna\",\"2010-01-01\"],[2,\"28 Letters\",\"2012-05-12\"],[3,\"The Hobbit\",\"2019-06-10\"],[4,\"13 Reasons Why\",\"2019-06-01\"],[5,\"The Hunger Games\",\"2008-09-21\"]],\"Orders\":[[1,1,2,\"2018-07-26\"],[2,1,1,\"2018-11-05\"],[3,3,8,\"2019-06-11\"],[4,4,6,\"2019-06-05\"],[5,4,5,\"2019-06-20\"],[6,5,9,\"2009-02-02\"],[7,5,8,\"2010-04-13\"]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Books (book_id int, name varchar(50), available_from date)\", \"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"mssql\": [\"Create table Books (book_id int, name varchar(50), available_from date)\", \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"oraclesql\": [\"Create table Books (book_id int, name varchar(50), available_from date)\", \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"unpopular_books\", \"pythondata\": [\"Books = pd.DataFrame([], columns=['book_id', 'name', 'available_from']).astype({'book_id':'Int64', 'name':'object', 'available_from':'datetime64[ns]'})\", \"Orders = pd.DataFrame([], columns=['order_id', 'book_id', 'quantity', 'dispatch_date']).astype({'order_id':'Int64', 'book_id':'Int64', 'quantity':'Int64', 'dispatch_date':'datetime64[ns]'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Books (book_id int, name varchar(50), available_from date)\\n\", \"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"database_schema\": {\"Books\": {\"book_id\": \"INT\", \"name\": \"VARCHAR(50)\", \"available_from\": \"DATE\"}, \"Orders\": {\"order_id\": \"INT\", \"book_id\": \"INT\", \"quantity\": \"INT\", \"dispatch_date\": \"DATE\"}}}",
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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 Books (book_id int, name varchar(50), available_from date)",
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"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)",
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"Truncate table Books",
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"insert into Books (book_id, name, available_from) values ('1', 'Kalila And Demna', '2010-01-01')",
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"insert into Books (book_id, name, available_from) values ('2', '28 Letters', '2012-05-12')",
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"insert into Books (book_id, name, available_from) values ('3', 'The Hobbit', '2019-06-10')",
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"insert into Books (book_id, name, available_from) values ('4', '13 Reasons Why', '2019-06-01')",
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"insert into Books (book_id, name, available_from) values ('5', 'The Hunger Games', '2008-09-21')",
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"Truncate table Orders",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('1', '1', '2', '2018-07-26')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('2', '1', '1', '2018-11-05')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('3', '3', '8', '2019-06-11')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('4', '4', '6', '2019-06-05')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('5', '4', '5', '2019-06-20')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('6', '5', '9', '2009-02-02')",
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"insert into Orders (order_id, book_id, quantity, dispatch_date) values ('7', '5', '8', '2010-04-13')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": 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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} |