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https://gitee.com/coder-xiaomo/leetcode-problemset
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66 lines
5.0 KiB
JSON
66 lines
5.0 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "2152",
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"questionFrontendId": "2004",
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"boundTopicId": null,
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"title": "The Number of Seniors and Juniors to Join the Company",
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"titleSlug": "the-number-of-seniors-and-juniors-to-join-the-company",
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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": "Hard",
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"likes": 109,
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"dislikes": 13,
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"isLiked": null,
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"similarQuestions": "[{\"title\": \"Last Person to Fit in the Bus\", \"titleSlug\": \"last-person-to-fit-in-the-bus\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"The Number of Seniors and Juniors to Join the Company II\", \"titleSlug\": \"the-number-of-seniors-and-juniors-to-join-the-company-ii\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
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"exampleTestcases": "{\"headers\":{\"Candidates\":[\"employee_id\",\"experience\",\"salary\"]},\"rows\":{\"Candidates\":[[1,\"Junior\",10000],[9,\"Junior\",10000],[2,\"Senior\",20000],[11,\"Senior\",20000],[13,\"Senior\",50000],[4,\"Junior\",40000]]}}\n{\"headers\":{\"Candidates\":[\"employee_id\",\"experience\",\"salary\"]},\"rows\":{\"Candidates\":[[1,\"Junior\",10000],[9,\"Junior\",10000],[2,\"Senior\",80000],[11,\"Senior\",80000],[13,\"Senior\",80000],[4,\"Junior\",40000]]}}",
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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\": \"7.4K\", \"totalSubmission\": \"17.8K\", \"totalAcceptedRaw\": 7351, \"totalSubmissionRaw\": 17802, \"acRate\": \"41.3%\"}",
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"hints": [],
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"solution": {
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"id": "2205",
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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\":[\"employee_id\",\"experience\",\"salary\"]},\"rows\":{\"Candidates\":[[1,\"Junior\",10000],[9,\"Junior\",10000],[2,\"Senior\",20000],[11,\"Senior\",20000],[13,\"Senior\",50000],[4,\"Junior\",40000]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Candidates (employee_id int, experience ENUM('Senior', 'Junior'), salary int)\"], \"mssql\": [\"Create table Candidates (employee_id int, experience VARCHAR(6) NOT NULL CHECK (experience IN ('Senior', 'Junior')), salary int)\"], \"oraclesql\": [\"Create table Candidates (employee_id int, experience VARCHAR(6) NOT NULL CHECK (experience IN ('Senior', 'Junior')), salary int)\"], \"database\": true, \"name\": \"count_seniors_and_juniors\", \"pythondata\": [\"Candidates = pd.DataFrame([], columns=['employee_id', 'experience', 'salary']).astype({'employee_id':'Int64', 'experience':'object', 'salary':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Candidates (employee_id int, experience VARCHAR(30) CHECK (experience IN ('Senior', 'Junior')), salary int)\\n\"], \"database_schema\": {\"Candidates\": {\"employee_id\": \"INT\", \"experience\": \"ENUM('Senior', 'Junior')\", \"salary\": \"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 (employee_id int, experience ENUM('Senior', 'Junior'), salary int)",
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"Truncate table Candidates",
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"insert into Candidates (employee_id, experience, salary) values ('1', 'Junior', '10000')",
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"insert into Candidates (employee_id, experience, salary) values ('9', 'Junior', '10000')",
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"insert into Candidates (employee_id, experience, salary) values ('2', 'Senior', '20000')",
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"insert into Candidates (employee_id, experience, salary) values ('11', 'Senior', '20000')",
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"insert into Candidates (employee_id, experience, salary) values ('13', 'Senior', '50000')",
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"insert into Candidates (employee_id, experience, salary) values ('4', 'Junior', '40000')"
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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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} |