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存量题库数据更新

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小墨
2023-12-09 18:42:21 +08:00
parent a788808cd7
commit c198538f10
10843 changed files with 288489 additions and 248355 deletions
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10
leetcode-cn/originData/[no content]average-salary-departments-vs-company.json
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@@ -12,7 +12,7 @@
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Hard",
"likes": 43,
"likes": 56,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"7.4K\", \"totalSubmission\": \"17.4K\", \"totalAcceptedRaw\": 7354, \"totalSubmissionRaw\": 17378, \"acRate\": \"42.3%\"}",
"stats": "{\"totalAccepted\": \"11.2K\", \"totalSubmission\": \"26.4K\", \"totalAcceptedRaw\": 11169, \"totalSubmissionRaw\": 26377, \"acRate\": \"42.3%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"salary\":[\"id\",\"employee_id\",\"amount\",\"pay_date\"],\"employee\":[\"employee_id\",\"department_id\"]},\"rows\":{\"salary\":[[1,1,9000,\"2017/03/31\"],[2,2,6000,\"2017/03/31\"],[3,3,10000,\"2017/03/31\"],[4,1,7000,\"2017/02/28\"],[5,2,6000,\"2017/02/28\"],[6,3,8000,\"2017/02/28\"]],\"employee\":[[1,1],[2,2],[3,2]]}}",
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\",\n \"Create table If Not Exists Employee (employee_id int, department_id int)\"\n ],\n \"mssql\": [\n \"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\n \"Create table Employee (employee_id int, department_id int)\"\n ],\n \"oraclesql\": [\n \"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\n \"Create table Employee (employee_id int, department_id int)\",\n \"alter SESSION set NLS_DATE_FORMAT = 'YYYY/MM/DD'\"\n ],\n \"database\": true\n}",
"sampleTestCase": "{\"headers\":{\"Salary\":[\"id\",\"employee_id\",\"amount\",\"pay_date\"],\"Employee\":[\"employee_id\",\"department_id\"]},\"rows\":{\"Salary\":[[1,1,9000,\"2017/03/31\"],[2,2,6000,\"2017/03/31\"],[3,3,10000,\"2017/03/31\"],[4,1,7000,\"2017/02/28\"],[5,2,6000,\"2017/02/28\"],[6,3,8000,\"2017/02/28\"]],\"Employee\":[[1,1],[2,2],[3,2]]}}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\",\"Create table If Not Exists Employee (employee_id int, department_id int)\"],\"mssql\":[\"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\"Create table Employee (employee_id int, department_id int)\"],\"oraclesql\":[\"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\"Create table Employee (employee_id int, department_id int)\",\"alter SESSION set NLS_DATE_FORMAT = 'YYYY\\/MM\\/DD'\"],\"database\":true,\"name\":\"average_salary\",\"pythondata\":[\"Salary = pd.DataFrame([], columns=['id', 'employee_id', 'amount', 'pay_date']).astype({'id':'Int64', 'employee_id':'Int64', 'amount':'Int64', 'pay_date':'datetime64[ns]'})\",\"Employee = pd.DataFrame([], columns=['employee_id', 'department_id']).astype({'employee_id':'Int64', 'department_id':'Int64'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\\n\",\"Create table If Not Exists Employee (employee_id int, department_id int)\"],\"database_schema\":{\"Salary\":{\"id\":\"INT\",\"employee_id\":\"INT\",\"amount\":\"INT\",\"pay_date\":\"DATE\"},\"Employee\":{\"employee_id\":\"INT\",\"department_id\":\"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -52,7 +52,7 @@
"insert into Employee (employee_id, department_id) values ('3', '2')"
],
"enableRunCode": true,
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"]}",
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,