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存量题库数据更新
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@@ -7,17 +7,17 @@
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"boundTopicId": 1209,
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"title": "Swap Salary",
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"titleSlug": "swap-salary",
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"content": "<p>Table: <code>Salary</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| name | varchar |\n| sex | ENUM |\n| salary | int |\n+-------------+----------+\nid is the primary key for this table.\nThe sex column is ENUM value of type ('m', 'f').\nThe table contains information about an employee.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to swap all <code>'f'</code> and <code>'m'</code> values (i.e., change all <code>'f'</code> values to <code>'m'</code> and vice versa) with a <strong>single update statement</strong> and no intermediate temporary tables.</p>\n\n<p>Note that you must write a single update statement, <strong>do not</strong> write any select statement for this problem.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nSalary table:\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | m | 2500 |\n| 2 | B | f | 1500 |\n| 3 | C | m | 5500 |\n| 4 | D | f | 500 |\n+----+------+-----+--------+\n<strong>Output:</strong> \n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | f | 2500 |\n| 2 | B | m | 1500 |\n| 3 | C | f | 5500 |\n| 4 | D | m | 500 |\n+----+------+-----+--------+\n<strong>Explanation:</strong> \n(1, A) and (3, C) were changed from 'm' to 'f'.\n(2, B) and (4, D) were changed from 'f' to 'm'.\n</pre>\n",
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"content": "<p>Table: <code>Salary</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| name | varchar |\n| sex | ENUM |\n| salary | int |\n+-------------+----------+\nid is the primary key (column with unique values) for this table.\nThe sex column is ENUM (category) value of type ('m', 'f').\nThe table contains information about an employee.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to swap all <code>'f'</code> and <code>'m'</code> values (i.e., change all <code>'f'</code> values to <code>'m'</code> and vice versa) with a <strong>single update statement</strong> and no intermediate temporary tables.</p>\n\n<p>Note that you must write a single update statement, <strong>do not</strong> write any select statement for this problem.</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> \nSalary table:\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | m | 2500 |\n| 2 | B | f | 1500 |\n| 3 | C | m | 5500 |\n| 4 | D | f | 500 |\n+----+------+-----+--------+\n<strong>Output:</strong> \n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | f | 2500 |\n| 2 | B | m | 1500 |\n| 3 | C | f | 5500 |\n| 4 | D | m | 500 |\n+----+------+-----+--------+\n<strong>Explanation:</strong> \n(1, A) and (3, C) were changed from 'm' to 'f'.\n(2, B) and (4, D) were changed from 'f' to 'm'.\n</pre>\n",
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"translatedTitle": "变更性别",
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"translatedContent": "<div class=\"original__bRMd\">\n<div>\n<p><code>Salary</code> 表：</p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| name | varchar |\n| sex | ENUM |\n| salary | int |\n+-------------+----------+\nid 是这个表的主键。\nsex 这一列的值是 ENUM 类型，只能从 ('m', 'f') 中取。\n本表包含公司雇员的信息。\n</pre>\n\n<p> </p>\n\n<p>请你编写一个 SQL 查询来交换所有的 <code>'f'</code> 和 <code>'m'</code> （即，将所有 <code>'f'</code> 变为 <code>'m'</code> ，反之亦然），仅使用 <strong>单个 update 语句</strong> ，且不产生中间临时表。</p>\n\n<p>注意，你必须仅使用一条 update 语句，且 <strong>不能</strong> 使用 select 语句。</p>\n\n<p>查询结果如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nSalary 表：\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | m | 2500 |\n| 2 | B | f | 1500 |\n| 3 | C | m | 5500 |\n| 4 | D | f | 500 |\n+----+------+-----+--------+\n<strong>输出：</strong>\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | f | 2500 |\n| 2 | B | m | 1500 |\n| 3 | C | f | 5500 |\n| 4 | D | m | 500 |\n+----+------+-----+--------+\n<strong>解释：</strong>\n(1, A) 和 (3, C) 从 'm' 变为 'f' 。\n(2, B) 和 (4, D) 从 'f' 变为 'm' 。</pre>\n</div>\n</div>\n",
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"translatedContent": "<div class=\"original__bRMd\">\n<div>\n<p><code>Salary</code> 表：</p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| name | varchar |\n| sex | ENUM |\n| salary | int |\n+-------------+----------+\nid 是这个表的主键（具有唯一值的列）。\nsex 这一列的值是 ENUM 类型，只能从 ('m', 'f') 中取。\n本表包含公司雇员的信息。\n</pre>\n\n<p> </p>\n\n<p>请你编写一个解决方案来交换所有的 <code>'f'</code> 和 <code>'m'</code> （即，将所有 <code>'f'</code> 变为 <code>'m'</code> ，反之亦然），仅使用 <strong>单个 update 语句</strong> ，且不产生中间临时表。</p>\n\n<p>注意，你必须仅使用一条 update 语句，且 <strong>不能</strong> 使用 select 语句。</p>\n\n<p>结果如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nSalary 表：\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | m | 2500 |\n| 2 | B | f | 1500 |\n| 3 | C | m | 5500 |\n| 4 | D | f | 500 |\n+----+------+-----+--------+\n<strong>输出：</strong>\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1 | A | f | 2500 |\n| 2 | B | m | 1500 |\n| 3 | C | f | 5500 |\n| 4 | D | m | 500 |\n+----+------+-----+--------+\n<strong>解释：</strong>\n(1, A) 和 (3, C) 从 'm' 变为 'f' 。\n(2, B) 和 (4, D) 从 'f' 变为 'm' 。</pre>\n</div>\n</div>\n",
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@@ -45,9 +45,21 @@
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */",
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef swap_salary(salary: pd.DataFrame) -> pd.DataFrame:\n ",
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{
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"id": "93",
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@@ -55,20 +67,20 @@
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"sampleTestCase": "{\"headers\":{\"salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
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"sampleTestCase": "{\"headers\":{\"Salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"Salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
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"mysqlSchemas": [
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"Create table If Not Exists Salary (id int, name varchar(100), sex char(1), salary int)",
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"Truncate table salary",
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"insert into salary (id, name, sex, salary) values ('1', 'A', 'm', '2500')",
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"insert into salary (id, name, sex, salary) values ('2', 'B', 'f', '1500')",
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"insert into salary (id, name, sex, salary) values ('3', 'C', 'm', '5500')",
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"insert into salary (id, name, sex, salary) values ('4', 'D', 'f', '500')"
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"Truncate table Salary",
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"insert into Salary (id, name, sex, salary) values ('1', 'A', 'm', '2500')",
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"insert into Salary (id, name, sex, salary) values ('2', 'B', 'f', '1500')",
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"insert into Salary (id, name, sex, salary) values ('3', 'C', 'm', '5500')",
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"insert into Salary (id, name, sex, salary) values ('4', 'D', 'f', '500')"
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@@ -76,7 +88,7 @@
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"exampleTestcases": "{\"headers\":{\"salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
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"exampleTestcases": "{\"headers\":{\"Salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"Salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
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