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leetcode-problemset/leetcode/originData/[no content]calculate-salaries.json
2023-12-09 19:57:46 +08:00

63 lines
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JSON

{
"data": {
"question": {
"questionId": "1608",
"questionFrontendId": "1468",
"boundTopicId": null,
"title": "Calculate Salaries",
"titleSlug": "calculate-salaries",
"content": null,
"translatedTitle": null,
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Medium",
"likes": 121,
"dislikes": 21,
"isLiked": null,
"similarQuestions": "[]",
"exampleTestcases": "{\"headers\":{\"Salaries\":[\"company_id\",\"employee_id\",\"employee_name\",\"salary\"]},\"rows\":{\"Salaries\":[[1,1,\"Tony\",2000],[1,2,\"Pronub\",21300],[1,3,\"Tyrrox\",10800],[2,1,\"Pam\",300],[2,7,\"Bassem\",450],[2,9,\"Hermione\",700],[3,7,\"Bocaben\",100],[3,2,\"Ognjen\",2200],[3,13,\"Nyancat\",3300],[3,15,\"Morninngcat\",7777]]}}",
"categoryTitle": "Database",
"contributors": [],
"topicTags": [
{
"name": "Database",
"slug": "database",
"translatedName": null,
"__typename": "TopicTagNode"
}
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"22.6K\", \"totalSubmission\": \"28.6K\", \"totalAcceptedRaw\": 22628, \"totalSubmissionRaw\": 28642, \"acRate\": \"79.0%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Salaries\":[\"company_id\",\"employee_id\",\"employee_name\",\"salary\"]},\"rows\":{\"Salaries\":[[1,1,\"Tony\",2000],[1,2,\"Pronub\",21300],[1,3,\"Tyrrox\",10800],[2,1,\"Pam\",300],[2,7,\"Bassem\",450],[2,9,\"Hermione\",700],[3,7,\"Bocaben\",100],[3,2,\"Ognjen\",2200],[3,13,\"Nyancat\",3300],[3,15,\"Morninngcat\",7777]]}}",
"metaData": "{\"mysql\": [\"Create table If Not Exists Salaries (company_id int, employee_id int, employee_name varchar(13), salary int)\"], \"mssql\": [\"Create table Salaries (company_id int, employee_id int, employee_name varchar(13), salary int)\"], \"oraclesql\": [\"Create table Salaries (company_id int, employee_id int, employee_name varchar(13), salary int)\"], \"database\": true, \"name\": \"calculate_salaries\", \"pythondata\": [\"Salaries = pd.DataFrame([], columns=['company_id', 'employee_id', 'employee_name', 'salary']).astype({'company_id':'Int64', 'employee_id':'Int64', 'employee_name':'object', 'salary':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Salaries (company_id int, employee_id int, employee_name varchar(13), salary int)\"], \"database_schema\": {\"Salaries\": {\"company_id\": \"INT\", \"employee_id\": \"INT\", \"employee_name\": \"VARCHAR(13)\", \"salary\": \"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Salaries (company_id int, employee_id int, employee_name varchar(13), salary int)",
"Truncate table Salaries",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('1', '1', 'Tony', '2000')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('1', '2', 'Pronub', '21300')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('1', '3', 'Tyrrox', '10800')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('2', '1', 'Pam', '300')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('2', '7', 'Bassem', '450')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('2', '9', 'Hermione', '700')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('3', '7', 'Bocaben', '100')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('3', '2', 'Ognjen', '2200')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('3', '13', 'Nyancat', '3300')",
"insert into Salaries (company_id, employee_id, employee_name, salary) values ('3', '15', 'Morninngcat', '7777')"
],
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": false,
"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>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,
"__typename": "QuestionNode"
}
}
}