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https://gitee.com/coder-xiaomo/leetcode-problemset
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96 lines
7.1 KiB
JSON
96 lines
7.1 KiB
JSON
{
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"question": {
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"questionId": "2024",
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"questionFrontendId": "1873",
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"boundTopicId": null,
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"title": "Calculate Special Bonus",
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"titleSlug": "calculate-special-bonus",
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"content": "<p>Table: <code>Employees</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| employee_id | int |\n| name | varchar |\n| salary | int |\n+-------------+---------+\nemployee_id is the primary key (column with unique values) for this table.\nEach row of this table indicates the employee ID, employee name, and salary.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to calculate the bonus of each employee. The bonus of an employee is <code>100%</code> of their salary if the ID of the employee is <strong>an odd number</strong> and <strong>the employee's name does not start with the character </strong><code>'M'</code>. The bonus of an employee is <code>0</code> otherwise.</p>\n\n<p>Return the result table ordered by <code>employee_id</code>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nEmployees table:\n+-------------+---------+--------+\n| employee_id | name | salary |\n+-------------+---------+--------+\n| 2 | Meir | 3000 |\n| 3 | Michael | 3800 |\n| 7 | Addilyn | 7400 |\n| 8 | Juan | 6100 |\n| 9 | Kannon | 7700 |\n+-------------+---------+--------+\n<strong>Output:</strong> \n+-------------+-------+\n| employee_id | bonus |\n+-------------+-------+\n| 2 | 0 |\n| 3 | 0 |\n| 7 | 7400 |\n| 8 | 0 |\n| 9 | 7700 |\n+-------------+-------+\n<strong>Explanation:</strong> \nThe employees with IDs 2 and 8 get 0 bonus because they have an even employee_id.\nThe employee with ID 3 gets 0 bonus because their name starts with 'M'.\nThe rest of the employees get a 100% bonus.\n</pre>\n",
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"difficulty": "Easy",
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"likes": 1031,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Employees\":[\"employee_id\",\"name\",\"salary\"]},\"rows\":{\"Employees\":[[2,\"Meir\",3000],[3,\"Michael\",3800],[7,\"Addilyn\",7400],[8,\"Juan\",6100],[9,\"Kannon\",7700]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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{
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"name": "Database",
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef calculate_special_bonus(employees: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": {
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Employees\":[\"employee_id\",\"name\",\"salary\"]},\"rows\":{\"Employees\":[[2,\"Meir\",3000],[3,\"Michael\",3800],[7,\"Addilyn\",7400],[8,\"Juan\",6100],[9,\"Kannon\",7700]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)\"], \"mssql\": [\"Create table Employees (employee_id int, name varchar(30), salary int)\"], \"oraclesql\": [\"Create table Employees (employee_id int, name varchar(30), salary int)\"], \"database\": true, \"name\": \"calculate_special_bonus\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'name', 'salary']).astype({'employee_id':'int64', 'name':'object', 'salary':'int64'})\"], \"manual\": false, \"postgresql\": [\"Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"name\": \"VARCHAR(30)\", \"salary\": \"INT\"}}}",
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)",
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"Truncate table Employees",
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"insert into Employees (employee_id, name, salary) values ('2', 'Meir', '3000')",
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"insert into Employees (employee_id, name, salary) values ('3', 'Michael', '3800')",
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"insert into Employees (employee_id, name, salary) values ('7', 'Addilyn', '7400')",
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"insert into Employees (employee_id, name, salary) values ('8', 'Juan', '6100')",
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"insert into Employees (employee_id, name, salary) values ('9', 'Kannon', '7700')"
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],
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"enableRunCode": true,
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"enableTestMode": 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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