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https://gitee.com/coder-xiaomo/leetcode-problemset
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96 lines
9.7 KiB
JSON
96 lines
9.7 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "620",
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"questionFrontendId": "620",
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"categoryTitle": "Database",
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"boundTopicId": 1258,
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"title": "Not Boring Movies",
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"titleSlug": "not-boring-movies",
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"content": "<p>Table: <code>Cinema</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name | Type |\n+----------------+----------+\n| id | int |\n| movie | varchar |\n| description | varchar |\n| rating | float |\n+----------------+----------+\nid is the primary key (column with unique values) for this table.\nEach row contains information about the name of a movie, its genre, and its rating.\nrating is a 2 decimal places float in the range [0, 10]\n</pre>\n\n<p> </p>\n\n<p>Write a solution to report the movies with an odd-numbered ID and a description that is not <code>"boring"</code>.</p>\n\n<p>Return the result table ordered by <code>rating</code> <strong>in descending 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> \nCinema table:\n+----+------------+-------------+--------+\n| id | movie | description | rating |\n+----+------------+-------------+--------+\n| 1 | War | great 3D | 8.9 |\n| 2 | Science | fiction | 8.5 |\n| 3 | irish | boring | 6.2 |\n| 4 | Ice song | Fantacy | 8.6 |\n| 5 | House card | Interesting | 9.1 |\n+----+------------+-------------+--------+\n<strong>Output:</strong> \n+----+------------+-------------+--------+\n| id | movie | description | rating |\n+----+------------+-------------+--------+\n| 5 | House card | Interesting | 9.1 |\n| 1 | War | great 3D | 8.9 |\n+----+------------+-------------+--------+\n<strong>Explanation:</strong> \nWe have three movies with odd-numbered IDs: 1, 3, and 5. The movie with ID = 3 is boring so we do not include it in the answer.\n</pre>\n",
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"translatedTitle": "有趣的电影",
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"translatedContent": "<p>表:<code>cinema</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name | Type |\n+----------------+----------+\n| id | int |\n| movie | varchar |\n| description | varchar |\n| rating | float |\n+----------------+----------+\nid 是该表的主键(具有唯一值的列)。\n每行包含有关电影名称、类型和评级的信息。\n评级为 [0,10] 范围内的小数点后 2 位浮点数。\n</pre>\n\n<p> </p>\n\n<p>编写解决方案,找出所有影片描述为 <strong>非</strong> <code>boring</code> (不无聊) 的并且<strong> id 为奇数 </strong>的影片。</p>\n\n<p>返回结果按 <code>rating</code> <strong>降序排列</strong>。</p>\n\n<p>结果格式如下示例。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong>\n+---------+-----------+--------------+-----------+\n| id | movie | description | rating |\n+---------+-----------+--------------+-----------+\n| 1 | War | great 3D | 8.9 |\n| 2 | Science | fiction | 8.5 |\n| 3 | irish | boring | 6.2 |\n| 4 | Ice song | Fantacy | 8.6 |\n| 5 | House card| Interesting| 9.1 |\n<strong>+---------+-----------+--------------+-----------+\n输出:</strong>\n+---------+-----------+--------------+-----------+\n| id | movie | description | rating |\n+---------+-----------+--------------+-----------+\n| 5 | House card| Interesting| 9.1 |\n| 1 | War | great 3D | 8.9 |\n+---------+-----------+--------------+-----------+\n<strong>解释:</strong>\n我们有三部电影,它们的 id 是奇数:1、3 和 5。id = 3 的电影是 boring 的,所以我们不把它包括在答案中。\n</pre>\n",
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"code": "import pandas as pd\n\ndef not_boring_movies(cinema: pd.DataFrame) -> pd.DataFrame:\n ",
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"sampleTestCase": "{\"headers\":{\"cinema\":[\"id\", \"movie\", \"description\", \"rating\"]},\"rows\":{\"cinema\":[[1, \"War\", \"great 3D\", 8.9], [2, \"Science\", \"fiction\", 8.5], [3, \"irish\", \"boring\", 6.2], [4, \"Ice song\", \"Fantacy\", 8.6], [5, \"House card\", \"Interesting\", 9.1]]}}",
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"Create table If Not Exists cinema (id int, movie varchar(255), description varchar(255), rating float(2, 1))",
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"Truncate table cinema",
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"insert into cinema (id, movie, description, rating) values ('1', 'War', 'great 3D', '8.9')",
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"insert into cinema (id, movie, description, rating) values ('2', 'Science', 'fiction', '8.5')",
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"insert into cinema (id, movie, description, rating) values ('3', 'irish', 'boring', '6.2')",
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"insert into cinema (id, movie, description, rating) values ('4', 'Ice song', 'Fantacy', '8.6')",
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"insert into cinema (id, movie, description, rating) values ('5', 'House card', 'Interesting', '9.1')"
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"exampleTestcases": "{\"headers\":{\"cinema\":[\"id\", \"movie\", \"description\", \"rating\"]},\"rows\":{\"cinema\":[[1, \"War\", \"great 3D\", 8.9], [2, \"Science\", \"fiction\", 8.5], [3, \"irish\", \"boring\", 6.2], [4, \"Ice song\", \"Fantacy\", 8.6], [5, \"House card\", \"Interesting\", 9.1]]}}",
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