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https://gitee.com/coder-xiaomo/leetcode-problemset
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94 lines
7.1 KiB
JSON
94 lines
7.1 KiB
JSON
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"questionId": "180",
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"questionFrontendId": "180",
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"categoryTitle": "Database",
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"boundTopicId": 1133,
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"title": "Consecutive Numbers",
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"titleSlug": "consecutive-numbers",
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"content": "<p>Table: <code>Logs</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| num | varchar |\n+-------------+---------+\nIn SQL, id is the primary key for this table.\nid is an autoincrement column.\n</pre>\n\n<p> </p>\n\n<p>Find all numbers that appear at least three times consecutively.</p>\n\n<p>Return the result table in <strong>any order</strong>.</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> \nLogs table:\n+----+-----+\n| id | num |\n+----+-----+\n| 1 | 1 |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 2 |\n| 5 | 1 |\n| 6 | 2 |\n| 7 | 2 |\n+----+-----+\n<strong>Output:</strong> \n+-----------------+\n| ConsecutiveNums |\n+-----------------+\n| 1 |\n+-----------------+\n<strong>Explanation:</strong> 1 is the only number that appears consecutively for at least three times.\n</pre>\n",
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"translatedTitle": "连续出现的数字",
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"translatedContent": "<p>表:<code>Logs</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| num | varchar |\n+-------------+---------+\n在 SQL 中,id 是该表的主键。\nid 是一个自增列。</pre>\n\n<p> </p>\n\n<p>找出所有至少连续出现三次的数字。</p>\n\n<p>返回的结果表中的数据可以按 <strong>任意顺序</strong> 排列。</p>\n\n<p>结果格式如下面的例子所示:</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong>\nLogs 表:\n+----+-----+\n| id | num |\n+----+-----+\n| 1 | 1 |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 2 |\n| 5 | 1 |\n| 6 | 2 |\n| 7 | 2 |\n+----+-----+\n<strong>输出:</strong>\nResult 表:\n+-----------------+\n| ConsecutiveNums |\n+-----------------+\n| 1 |\n+-----------------+\n<strong>解释:</strong>1 是唯一连续出现至少三次的数字。</pre>\n",
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"difficulty": "Medium",
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"code": "import pandas as pd\n\ndef consecutive_numbers(logs: pd.DataFrame) -> pd.DataFrame:\n ",
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"sampleTestCase": "{\"headers\": {\"Logs\": [\"id\", \"num\"]}, \"rows\": {\"Logs\": [[1, 1], [2, 1], [3, 1], [4, 2], [5, 1], [6, 2], [7, 2]]}}",
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"Create table If Not Exists Logs (id int, num int)",
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"Truncate table Logs",
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"insert into Logs (id, num) values ('1', '1')",
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"insert into Logs (id, num) values ('2', '1')",
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"insert into Logs (id, num) values ('3', '1')",
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"insert into Logs (id, num) values ('4', '2')",
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"insert into Logs (id, num) values ('5', '1')",
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"insert into Logs (id, num) values ('6', '2')",
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"insert into Logs (id, num) values ('7', '2')"
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"exampleTestcases": "{\"headers\": {\"Logs\": [\"id\", \"num\"]}, \"rows\": {\"Logs\": [[1, 1], [2, 1], [3, 1], [4, 2], [5, 1], [6, 2], [7, 2]]}}",
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