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https://gitee.com/coder-xiaomo/leetcode-problemset
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78 lines
6.4 KiB
JSON
78 lines
6.4 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "2185",
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"questionFrontendId": "2041",
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"boundTopicId": null,
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"title": "Accepted Candidates From the Interviews",
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"titleSlug": "accepted-candidates-from-the-interviews",
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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": 48,
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"dislikes": 27,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"name\",\"years_of_exp\",\"interview_id\"],\"Rounds\":[\"interview_id\",\"round_id\",\"score\"]},\"rows\":{\"Candidates\":[[11,\"Atticus\",1,101],[9,\"Ruben\",6,104],[6,\"Aliza\",10,109],[8,\"Alfredo\",0,107]],\"Rounds\":[[109,3,4],[101,2,8],[109,4,1],[107,1,3],[104,3,6],[109,1,4],[104,4,7],[104,1,2],[109,2,1],[104,2,7],[107,2,3],[101,1,8]]}}",
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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\": \"8K\", \"totalSubmission\": \"10.3K\", \"totalAcceptedRaw\": 8014, \"totalSubmissionRaw\": 10301, \"acRate\": \"77.8%\"}",
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"hints": [],
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"solution": {
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"id": "2180",
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"canSeeDetail": true,
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"paidOnly": false,
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"hasVideoSolution": false,
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"paidOnlyVideo": true,
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"__typename": "ArticleNode"
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"name\",\"years_of_exp\",\"interview_id\"],\"Rounds\":[\"interview_id\",\"round_id\",\"score\"]},\"rows\":{\"Candidates\":[[11,\"Atticus\",1,101],[9,\"Ruben\",6,104],[6,\"Aliza\",10,109],[8,\"Alfredo\",0,107]],\"Rounds\":[[109,3,4],[101,2,8],[109,4,1],[107,1,3],[104,3,6],[109,1,4],[104,4,7],[104,1,2],[109,2,1],[104,2,7],[107,2,3],[101,1,8]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\", \"Create table If Not Exists Rounds (interview_id int, round_id int, score int)\"], \"mssql\": [\"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\", \"Create table Rounds (interview_id int, round_id int, score int)\"], \"oraclesql\": [\"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\", \"Create table Rounds (interview_id int, round_id int, score int)\"], \"database\": true, \"name\": \"accepted_candidates\", \"pythondata\": [\"Candidates = pd.DataFrame([], columns=['candidate_id', 'name', 'years_of_exp', 'interview_id']).astype({'candidate_id':'Int64', 'name':'object', 'years_of_exp':'Int64', 'interview_id':'Int64'})\", \"Rounds = pd.DataFrame([], columns=['interview_id', 'round_id', 'score']).astype({'interview_id':'Int64', 'round_id':'Int64', 'score':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\", \"Create table If Not Exists Rounds (interview_id int, round_id int, score int)\"], \"database_schema\": {\"Candidates\": {\"candidate_id\": \"INT\", \"name\": \"VARCHAR(30)\", \"years_of_exp\": \"INT\", \"interview_id\": \"INT\"}, \"Rounds\": {\"interview_id\": \"INT\", \"round_id\": \"INT\", \"score\": \"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 Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)",
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"Create table If Not Exists Rounds (interview_id int, round_id int, score int)",
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"Truncate table Candidates",
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"insert into Candidates (candidate_id, name, years_of_exp, interview_id) values ('11', 'Atticus', '1', '101')",
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"insert into Candidates (candidate_id, name, years_of_exp, interview_id) values ('9', 'Ruben', '6', '104')",
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"insert into Candidates (candidate_id, name, years_of_exp, interview_id) values ('6', 'Aliza', '10', '109')",
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"insert into Candidates (candidate_id, name, years_of_exp, interview_id) values ('8', 'Alfredo', '0', '107')",
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"Truncate table Rounds",
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"insert into Rounds (interview_id, round_id, score) values ('109', '3', '4')",
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"insert into Rounds (interview_id, round_id, score) values ('101', '2', '8')",
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"insert into Rounds (interview_id, round_id, score) values ('109', '4', '1')",
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"insert into Rounds (interview_id, round_id, score) values ('107', '1', '3')",
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"insert into Rounds (interview_id, round_id, score) values ('104', '3', '6')",
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"insert into Rounds (interview_id, round_id, score) values ('109', '1', '4')",
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"insert into Rounds (interview_id, round_id, score) values ('104', '4', '7')",
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"insert into Rounds (interview_id, round_id, score) values ('104', '1', '2')",
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"insert into Rounds (interview_id, round_id, score) values ('109', '2', '1')",
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"insert into Rounds (interview_id, round_id, score) values ('104', '2', '7')",
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"insert into Rounds (interview_id, round_id, score) values ('107', '2', '3')",
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"insert into Rounds (interview_id, round_id, score) values ('101', '1', '8')"
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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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} |