mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-09-05 23:41:41 +08:00
94 lines
10 KiB
JSON
94 lines
10 KiB
JSON
{
|
||
"data": {
|
||
"question": {
|
||
"questionId": "3792",
|
||
"questionFrontendId": "3451",
|
||
"categoryTitle": "Database",
|
||
"boundTopicId": 3073058,
|
||
"title": "Find Invalid IP Addresses",
|
||
"titleSlug": "find-invalid-ip-addresses",
|
||
"content": "<p>Table: <code> logs</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| log_id | int |\n| ip | varchar |\n| status_code | int |\n+-------------+---------+\nlog_id is the unique key for this table.\nEach row contains server access log information including IP address and HTTP status code.\n</pre>\n\n<p>Write a solution to find <strong>invalid IP addresses</strong>. An IPv4 address is invalid if it meets any of these conditions:</p>\n\n<ul>\n\t<li>Contains numbers <strong>greater than</strong> <code>255</code> in any octet</li>\n\t<li>Has <strong>leading zeros</strong> in any octet (like <code>01.02.03.04</code>)</li>\n\t<li>Has <strong>less or more</strong> than <code>4</code> octets</li>\n</ul>\n\n<p>Return <em>the result table </em><em>ordered by</em> <code>invalid_count</code>, <code>ip</code> <em>in <strong>descending</strong> order respectively</em>. </p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>logs table:</p>\n\n<pre class=\"example-io\">\n+--------+---------------+-------------+\n| log_id | ip | status_code | \n+--------+---------------+-------------+\n| 1 | 192.168.1.1 | 200 | \n| 2 | 256.1.2.3 | 404 | \n| 3 | 192.168.001.1 | 200 | \n| 4 | 192.168.1.1 | 200 | \n| 5 | 192.168.1 | 500 | \n| 6 | 256.1.2.3 | 404 | \n| 7 | 192.168.001.1 | 200 | \n+--------+---------------+-------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+---------------+--------------+\n| ip | invalid_count|\n+---------------+--------------+\n| 256.1.2.3 | 2 |\n| 192.168.001.1 | 2 |\n| 192.168.1 | 1 |\n+---------------+--------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li>256.1.2.3 is invalid because 256 > 255</li>\n\t<li>192.168.001.1 is invalid because of leading zeros</li>\n\t<li>192.168.1 is invalid because it has only 3 octets</li>\n</ul>\n\n<p>The output table is ordered by invalid_count, ip in descending order respectively.</p>\n</div>\n",
|
||
"translatedTitle": "查找无效的 IP 地址",
|
||
"translatedContent": "<p>表：<code>logs</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| log_id | int |\n| ip | varchar |\n| status_code | int |\n+-------------+---------+\nlog_id 是这张表的唯一主键。\n每一行包含服务器访问日志信息，包括 IP 地址和 HTTP 状态码。\n</pre>\n\n<p>编写一个解决方案来查找 <strong>无效的 IP 地址</strong>。一个 IPv4 地址如果满足以下任何条件之一，则无效：</p>\n\n<ul>\n\t<li>任何 8 位字节中包含大于 255 的数字</li>\n\t<li>任何 8 位字节中含有 <strong>前导零</strong>（如 <code>01.02.03.04</code>）</li>\n\t<li><strong>少于或多于</strong> <code>4</code> 个 8 位字节</li>\n</ul>\n\n<p>返回结果表分别以 <code>invalid_count</code>，<code>ip</code> <strong>降序</strong> 排序。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong></p>\n\n<p>logs 表：</p>\n\n<pre class=\"example-io\">\n+--------+---------------+-------------+\n| log_id | ip | status_code | \n+--------+---------------+-------------+\n| 1 | 192.168.1.1 | 200 | \n| 2 | 256.1.2.3 | 404 | \n| 3 | 192.168.001.1 | 200 | \n| 4 | 192.168.1.1 | 200 | \n| 5 | 192.168.1 | 500 | \n| 6 | 256.1.2.3 | 404 | \n| 7 | 192.168.001.1 | 200 | \n+--------+---------------+-------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+---------------+--------------+\n| ip | invalid_count|\n+---------------+--------------+\n| 256.1.2.3 | 2 |\n| 192.168.001.1 | 2 |\n| 192.168.1 | 1 |\n+---------------+--------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li>256.1.2.3 是无效的，因为 256 > 255</li>\n\t<li>192.168.001.1 是无效的，因为有前导零</li>\n\t<li>192.168.1 是非法的，因为只有 3 个 8 位字节</li>\n</ul>\n\n<p>输出表分别以 <code>invalid_count</code>，<code>ip</code> 降序排序。</p>\n</div>\n",
|
||
"isPaidOnly": false,
|
||
"difficulty": "Hard",
|
||
"likes": 0,
|
||
"dislikes": 0,
|
||
"isLiked": null,
|
||
"similarQuestions": "[]",
|
||
"contributors": [],
|
||
"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false, \"cangjie\": false}",
|
||
"topicTags": [
|
||
{
|
||
"name": "Database",
|
||
"slug": "database",
|
||
"translatedName": "数据库",
|
||
"__typename": "TopicTagNode"
|
||
}
|
||
],
|
||
"companyTagStats": null,
|
||
"codeSnippets": [
|
||
{
|
||
"lang": "MySQL",
|
||
"langSlug": "mysql",
|
||
"code": "# Write your MySQL query statement below",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "MS SQL Server",
|
||
"langSlug": "mssql",
|
||
"code": "/* Write your T-SQL query statement below */",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "Oracle",
|
||
"langSlug": "oraclesql",
|
||
"code": "/* Write your PL/SQL query statement below */",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "Pandas",
|
||
"langSlug": "pythondata",
|
||
"code": "import pandas as pd\n\ndef find_invalid_ips(logs: pd.DataFrame) -> pd.DataFrame:\n ",
|
||
"__typename": "CodeSnippetNode"
|
||
},
|
||
{
|
||
"lang": "PostgreSQL",
|
||
"langSlug": "postgresql",
|
||
"code": "-- Write your PostgreSQL query statement below",
|
||
"__typename": "CodeSnippetNode"
|
||
}
|
||
],
|
||
"stats": "{\"totalAccepted\": \"114\", \"totalSubmission\": \"181\", \"totalAcceptedRaw\": 114, \"totalSubmissionRaw\": 181, \"acRate\": \"63.0%\"}",
|
||
"hints": [],
|
||
"solution": null,
|
||
"status": null,
|
||
"sampleTestCase": "{\"headers\":{\"logs\":[\"log_id\",\"ip\",\"status_code\"]},\"rows\":{\"logs\":[[1,\"192.168.1.1\",200],[2,\"256.1.2.3\",404],[3,\"192.168.001.1\",200],[4,\"192.168.1.1\",200],[5,\"192.168.1\",500],[6,\"256.1.2.3\",404],[7,\"192.168.001.1\",200]]}}",
|
||
"metaData": "{\"mysql\":[\"CREATE TABLE logs (\\n log_id INT,\\n ip VARCHAR(255),\\n status_code INT\\n)\\n\"],\"mssql\":[\"CREATE TABLE logs (\\n log_id INT,\\n ip VARCHAR(255),\\n status_code INT\\n)\\n\"],\"oraclesql\":[\"CREATE TABLE logs (\\n log_id NUMBER,\\n ip VARCHAR2(255),\\n status_code NUMBER\\n)\\n\"],\"database\":true,\"name\":\"find_invalid_ips\",\"postgresql\":[\"CREATE TABLE logs (\\n log_id INTEGER,\\n ip VARCHAR(255), \\n status_code INTEGER \\n);\"],\"pythondata\":[\"logs = pd.DataFrame(columns=[\\\"log_id\\\", \\\"ip\\\", \\\"status_code\\\"]).astype({\\\"log_id\\\": \\\"Int64\\\", \\\"ip\\\": \\\"string\\\", \\\"status_code\\\": \\\"Int64\\\"})\\n\"],\"database_schema\":{\"logs\":{\"log_id\":\"INT\",\"ip\":\"VARCHAR(255)\",\"status_code\":\"INT\"}}}",
|
||
"judgerAvailable": true,
|
||
"judgeType": "large",
|
||
"mysqlSchemas": [
|
||
"CREATE TABLE logs (\n log_id INT,\n ip VARCHAR(255),\n status_code INT\n)\n",
|
||
"Truncate table logs",
|
||
"insert into logs (log_id, ip, status_code) values ('1', '192.168.1.1', '200')",
|
||
"insert into logs (log_id, ip, status_code) values ('2', '256.1.2.3', '404')",
|
||
"insert into logs (log_id, ip, status_code) values ('3', '192.168.001.1', '200')",
|
||
"insert into logs (log_id, ip, status_code) values ('4', '192.168.1.1', '200')",
|
||
"insert into logs (log_id, ip, status_code) values ('5', '192.168.1', '500')",
|
||
"insert into logs (log_id, ip, status_code) values ('6', '256.1.2.3', '404')",
|
||
"insert into logs (log_id, ip, status_code) values ('7', '192.168.001.1', '200')"
|
||
],
|
||
"enableRunCode": true,
|
||
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
|
||
"book": null,
|
||
"isSubscribed": false,
|
||
"isDailyQuestion": false,
|
||
"dailyRecordStatus": null,
|
||
"editorType": "CKEDITOR",
|
||
"ugcQuestionId": null,
|
||
"style": "LEETCODE",
|
||
"exampleTestcases": "{\"headers\":{\"logs\":[\"log_id\",\"ip\",\"status_code\"]},\"rows\":{\"logs\":[[1,\"192.168.1.1\",200],[2,\"256.1.2.3\",404],[3,\"192.168.001.1\",200],[4,\"192.168.1.1\",200],[5,\"192.168.1\",500],[6,\"256.1.2.3\",404],[7,\"192.168.001.1\",200]]}}",
|
||
"__typename": "QuestionNode"
|
||
}
|
||
}
|
||
} |