mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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58 lines
4.2 KiB
JSON
58 lines
4.2 KiB
JSON
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{
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"data": {
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"question": {
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"questionId": "3256",
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"questionFrontendId": "3051",
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"boundTopicId": null,
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"title": "Find Candidates for Data Scientist Position",
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"titleSlug": "find-candidates-for-data-scientist-position",
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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": "Easy",
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"likes": 5,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"skill\"]},\"rows\":{\"Candidates\":[[123,\"Python\"],[234,\"R\"],[123,\"Tableau\"],[123,\"PostgreSQL\"],[234,\"PowerBI\"],[234,\"SQL Server\"],[147,\"Python\"],[147,\"Tableau\"],[147,\"Java\"],[147,\"PostgreSQL\"],[256,\"Tableau\"],[102,\"DataAnalysis\"]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"418\", \"totalSubmission\": \"571\", \"totalAcceptedRaw\": 418, \"totalSubmissionRaw\": 571, \"acRate\": \"73.2%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"skill\"]},\"rows\":{\"Candidates\":[[123,\"Python\"],[234,\"R\"],[123,\"Tableau\"],[123,\"PostgreSQL\"],[234,\"PowerBI\"],[234,\"SQL Server\"],[147,\"Python\"],[147,\"Tableau\"],[147,\"Java\"],[147,\"PostgreSQL\"],[256,\"Tableau\"],[102,\"DataAnalysis\"]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Candidates (candidate_id int, skill varchar(30))\"], \"mssql\": [\"Create table Candidates (candidate_id int, skill varchar(30))\"], \"oraclesql\": [\"Create table Candidates (candidate_id int, skill varchar(30))\"], \"database\": true, \"name\": \"find_candidates\", \"pythondata\": [\"Candidates = pd.DataFrame([], columns=['candidate_id', 'skill']).astype({'candidate_id':'Int64', 'skill':'object'})\\n\"], \"postgresql\": [\"Create table If Not Exists Candidates (candidate_id int, skill varchar(30))\\n\"], \"database_schema\": {\"Candidates\": {\"candidate_id\": \"INT\", \"skill\": \"VARCHAR(30)\"}}}",
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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 Candidates (candidate_id int, skill varchar(30))",
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"Truncate table Candidates",
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"insert into Candidates (candidate_id, skill) values ('123', 'Python')",
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"insert into Candidates (candidate_id, skill) values ('234', 'R')",
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"insert into Candidates (candidate_id, skill) values ('123', 'Tableau')",
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"insert into Candidates (candidate_id, skill) values ('123', 'PostgreSQL')",
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"insert into Candidates (candidate_id, skill) values ('234', 'PowerBI')",
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"insert into Candidates (candidate_id, skill) values ('234', 'SQL Server')",
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"insert into Candidates (candidate_id, skill) values ('147', 'Python')",
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"insert into Candidates (candidate_id, skill) values ('147', 'Tableau')",
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"insert into Candidates (candidate_id, skill) values ('147', 'Java')",
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"insert into Candidates (candidate_id, skill) values ('147', 'PostgreSQL')",
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"insert into Candidates (candidate_id, skill) values ('256', 'Tableau')",
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"insert into Candidates (candidate_id, skill) values ('102', 'DataAnalysis')"
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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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}
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