leetcode-problemset/leetcode/originData/[no content]employees-with-deductions.json

{
    "data": {
        "question": {
            "questionId": "2534",
            "questionFrontendId": "2394",
            "boundTopicId": null,
            "title": "Employees With Deductions",
            "titleSlug": "employees-with-deductions",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Medium",
            "likes": 25,
            "dislikes": 35,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\": {\"Employees\": [\"employee_id\", \"needed_hours\"], \"Logs\": [\"employee_id\", \"in_time\", \"out_time\"]}, \"rows\": {\"Employees\": [[1, 20], [2, 12], [3, 2]], \"Logs\": [[1, \"2022-10-01 09:00:00\", \"2022-10-01 17:00:00\"],[1, \"2022-10-06 09:05:04\", \"2022-10-06 17:09:03\"], [1, \"2022-10-12 23:00:00\", \"2022-10-13 03:00:01\"], [2, \"2022-10-29 12:00:00\", \"2022-10-29 23:58:58\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"3.1K\", \"totalSubmission\": \"7.7K\", \"totalAcceptedRaw\": 3100, \"totalSubmissionRaw\": 7686, \"acRate\": \"40.3%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\": {\"Employees\": [\"employee_id\", \"needed_hours\"], \"Logs\": [\"employee_id\", \"in_time\", \"out_time\"]}, \"rows\": {\"Employees\": [[1, 20], [2, 12], [3, 2]], \"Logs\": [[1, \"2022-10-01 09:00:00\", \"2022-10-01 17:00:00\"],[1, \"2022-10-06 09:05:04\", \"2022-10-06 17:09:03\"], [1, \"2022-10-12 23:00:00\", \"2022-10-13 03:00:01\"], [2, \"2022-10-29 12:00:00\", \"2022-10-29 23:58:58\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, needed_hours int)\", \"Create table If Not Exists Logs (employee_id int, in_time datetime, out_time datetime)\"], \"mssql\": [\"Create table Employees (employee_id int, needed_hours int)\", \"Create table Logs (employee_id int, in_time datetime, out_time datetime)\"], \"oraclesql\": [\"Create table Employees (employee_id int, needed_hours int)\", \"Create table Logs (employee_id int, in_time date, out_time date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"], \"database\": true, \"name\": \"employees_with_deductions\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'needed_hours']).astype({'employee_id':'Int64', 'needed_hours':'Int64'})\", \"Logs = pd.DataFrame([], columns=['employee_id', 'in_time', 'out_time']).astype({'employee_id':'Int64', 'in_time':'datetime64[ns]', 'out_time':'datetime64[ns]'})\"], \"postgresql\": [\"Create table If Not Exists Employees (employee_id int, needed_hours int)\\n\", \"Create table If Not Exists Logs (employee_id int, in_time timestamp, out_time timestamp)\\n\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"needed_hours\": \"INT\"}, \"Logs\": {\"employee_id\": \"INT\", \"in_time\": \"DATETIME\", \"out_time\": \"DATETIME\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Employees (employee_id int, needed_hours int)",
                "Create table If Not Exists Logs (employee_id int, in_time datetime, out_time datetime)",
                "Truncate table Employees",
                "insert into Employees (employee_id, needed_hours) values ('1', '20')",
                "insert into Employees (employee_id, needed_hours) values ('2', '12')",
                "insert into Employees (employee_id, needed_hours) values ('3', '2')",
                "Truncate table Logs",
                "insert into Logs (employee_id, in_time, out_time) values ('1', '2022-10-01 09:00:00', '2022-10-01 17:00:00')",
                "insert into Logs (employee_id, in_time, out_time) values ('1', '2022-10-06 09:05:04', '2022-10-06 17:09:03')",
                "insert into Logs (employee_id, in_time, out_time) values ('1', '2022-10-12 23:00:00', '2022-10-13 03:00:01')",
                "insert into Logs (employee_id, in_time, out_time) values ('2', '2022-10-29 12:00:00', '2022-10-29 23:58:58')"
            ],
            "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"
        }
    }
}