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2025-09-29 14:43:44 +08:00
parent 2862a227c4
commit 13f2098086
4409 changed files with 168933 additions and 166256 deletions

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@@ -12,12 +12,12 @@
"translatedContent": "<p>表:&nbsp;<code>Person</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| email | varchar |\n+-------------+---------+\nid 是该表的主键列(具有唯一值的列)。\n该表的每一行包含一封电子邮件。电子邮件将不包含大写字母。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案<strong> 删除</strong> 所有重复的电子邮件,只保留一个具有最小 <code>id</code> 的唯一电子邮件。</p>\n\n<p>(对于 SQL 用户,请注意你应该编写一个 <code>DELETE</code> 语句而不是 <code>SELECT</code> 语句。)</p>\n\n<p>(对于 Pandas 用户,请注意你应该直接修改 <code>Person</code> 表。)</p>\n\n<p>运行脚本后,显示的答案是 <code>Person</code> 表。驱动程序将首先编译并运行您的代码片段,然后再显示 <code>Person</code> 表。<code>Person</code> 表的最终顺序 <strong>无关紧要</strong> 。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> \nPerson 表:\n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n| 3 | john@example.com |\n+----+------------------+\n<strong>输出:</strong> \n+----+------------------+\n| id | email |\n+----+------------------+\n| 1 | john@example.com |\n| 2 | bob@example.com |\n+----+------------------+\n<strong>解释:</strong> john@example.com重复两次。我们保留最小的Id = 1。</pre>\n",
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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 delete_duplicate_emails(person: pd.DataFrame) -> None:\n ",
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"id": "98",