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parent 2862a227c4
commit 13f2098086
4409 changed files with 168933 additions and 166256 deletions

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@@ -12,12 +12,12 @@
"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>&nbsp;</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>&nbsp;</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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"difficulty": "Easy",
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@@ -40,6 +40,12 @@
"code": "/* Write your T-SQL query statement below */",
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@@ -51,15 +57,9 @@
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"code": "import pandas as pd\n\ndef swap_salary(salary: pd.DataFrame) -> pd.DataFrame:\n ",
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"id": "93",