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@@ -7,17 +7,17 @@
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"boundTopicId": 1331,
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"title": "Trips and Users",
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"titleSlug": "trips-and-users",
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"content": "<p>Table: <code>Trips</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| client_id | int |\n| driver_id | int |\n| city_id | int |\n| status | enum |\n| request_at | date | \n+-------------+----------+\nid is the primary key (column with unique values) for this table.\nThe table holds all taxi trips. Each trip has a unique id, while client_id and driver_id are foreign keys to the users_id at the Users table.\nStatus is an ENUM (category) type of ('completed', 'cancelled_by_driver', 'cancelled_by_client').\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Users</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| users_id | int |\n| banned | enum |\n| role | enum |\n+-------------+----------+\nusers_id is the primary key (column with unique values) for this table.\nThe table holds all users. Each user has a unique users_id, and role is an ENUM type of ('client', 'driver', 'partner').\nbanned is an ENUM (category) type of ('Yes', 'No').\n</pre>\n\n<p> </p>\n\n<p>The <strong>cancellation rate</strong> is computed by dividing the number of canceled (by client or driver) requests with unbanned users by the total number of requests with unbanned users on that day.</p>\n\n<p>Write a solution to find the <strong>cancellation rate</strong> of requests with unbanned users (<strong>both client and driver must not be banned</strong>) each day between <code>"2013-10-01"</code> and <code>"2013-10-03"</code>. Round <code>Cancellation Rate</code> to <strong>two decimal</strong> points.</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> \nTrips table:\n+----+-----------+-----------+---------+---------------------+------------+\n| id | client_id | driver_id | city_id | status | request_at |\n+----+-----------+-----------+---------+---------------------+------------+\n| 1 | 1 | 10 | 1 | completed | 2013-10-01 |\n| 2 | 2 | 11 | 1 | cancelled_by_driver | 2013-10-01 |\n| 3 | 3 | 12 | 6 | completed | 2013-10-01 |\n| 4 | 4 | 13 | 6 | cancelled_by_client | 2013-10-01 |\n| 5 | 1 | 10 | 1 | completed | 2013-10-02 |\n| 6 | 2 | 11 | 6 | completed | 2013-10-02 |\n| 7 | 3 | 12 | 6 | completed | 2013-10-02 |\n| 8 | 2 | 12 | 12 | completed | 2013-10-03 |\n| 9 | 3 | 10 | 12 | completed | 2013-10-03 |\n| 10 | 4 | 13 | 12 | cancelled_by_driver | 2013-10-03 |\n+----+-----------+-----------+---------+---------------------+------------+\nUsers table:\n+----------+--------+--------+\n| users_id | banned | role |\n+----------+--------+--------+\n| 1 | No | client |\n| 2 | Yes | client |\n| 3 | No | client |\n| 4 | No | client |\n| 10 | No | driver |\n| 11 | No | driver |\n| 12 | No | driver |\n| 13 | No | driver |\n+----------+--------+--------+\n<strong>Output:</strong> \n+------------+-------------------+\n| Day | Cancellation Rate |\n+------------+-------------------+\n| 2013-10-01 | 0.33 |\n| 2013-10-02 | 0.00 |\n| 2013-10-03 | 0.50 |\n+------------+-------------------+\n<strong>Explanation:</strong> \nOn 2013-10-01:\n - There were 4 requests in total, 2 of which were canceled.\n - However, the request with Id=2 was made by a banned client (User_Id=2), so it is ignored in the calculation.\n - Hence there are 3 unbanned requests in total, 1 of which was canceled.\n - The Cancellation Rate is (1 / 3) = 0.33\nOn 2013-10-02:\n - There were 3 requests in total, 0 of which were canceled.\n - The request with Id=6 was made by a banned client, so it is ignored.\n - Hence there are 2 unbanned requests in total, 0 of which were canceled.\n - The Cancellation Rate is (0 / 2) = 0.00\nOn 2013-10-03:\n - There were 3 requests in total, 1 of which was canceled.\n - The request with Id=8 was made by a banned client, so it is ignored.\n - Hence there are 2 unbanned request in total, 1 of which were canceled.\n - The Cancellation Rate is (1 / 2) = 0.50\n</pre>\n",
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"content": "<p>Table: <code>Trips</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| client_id | int |\n| driver_id | int |\n| city_id | int |\n| status | enum |\n| request_at | varchar | \n+-------------+----------+\nid is the primary key (column with unique values) for this table.\nThe table holds all taxi trips. Each trip has a unique id, while client_id and driver_id are foreign keys to the users_id at the Users table.\nStatus is an ENUM (category) type of ('completed', 'cancelled_by_driver', 'cancelled_by_client').\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Users</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| users_id | int |\n| banned | enum |\n| role | enum |\n+-------------+----------+\nusers_id is the primary key (column with unique values) for this table.\nThe table holds all users. Each user has a unique users_id, and role is an ENUM type of ('client', 'driver', 'partner').\nbanned is an ENUM (category) type of ('Yes', 'No').\n</pre>\n\n<p> </p>\n\n<p>The <strong>cancellation rate</strong> is computed by dividing the number of canceled (by client or driver) requests with unbanned users by the total number of requests with unbanned users on that day.</p>\n\n<p>Write a solution to find the <strong>cancellation rate</strong> of requests with unbanned users (<strong>both client and driver must not be banned</strong>) each day between <code>"2013-10-01"</code> and <code>"2013-10-03"</code>. Round <code>Cancellation Rate</code> to <strong>two decimal</strong> points.</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> \nTrips table:\n+----+-----------+-----------+---------+---------------------+------------+\n| id | client_id | driver_id | city_id | status | request_at |\n+----+-----------+-----------+---------+---------------------+------------+\n| 1 | 1 | 10 | 1 | completed | 2013-10-01 |\n| 2 | 2 | 11 | 1 | cancelled_by_driver | 2013-10-01 |\n| 3 | 3 | 12 | 6 | completed | 2013-10-01 |\n| 4 | 4 | 13 | 6 | cancelled_by_client | 2013-10-01 |\n| 5 | 1 | 10 | 1 | completed | 2013-10-02 |\n| 6 | 2 | 11 | 6 | completed | 2013-10-02 |\n| 7 | 3 | 12 | 6 | completed | 2013-10-02 |\n| 8 | 2 | 12 | 12 | completed | 2013-10-03 |\n| 9 | 3 | 10 | 12 | completed | 2013-10-03 |\n| 10 | 4 | 13 | 12 | cancelled_by_driver | 2013-10-03 |\n+----+-----------+-----------+---------+---------------------+------------+\nUsers table:\n+----------+--------+--------+\n| users_id | banned | role |\n+----------+--------+--------+\n| 1 | No | client |\n| 2 | Yes | client |\n| 3 | No | client |\n| 4 | No | client |\n| 10 | No | driver |\n| 11 | No | driver |\n| 12 | No | driver |\n| 13 | No | driver |\n+----------+--------+--------+\n<strong>Output:</strong> \n+------------+-------------------+\n| Day | Cancellation Rate |\n+------------+-------------------+\n| 2013-10-01 | 0.33 |\n| 2013-10-02 | 0.00 |\n| 2013-10-03 | 0.50 |\n+------------+-------------------+\n<strong>Explanation:</strong> \nOn 2013-10-01:\n - There were 4 requests in total, 2 of which were canceled.\n - However, the request with Id=2 was made by a banned client (User_Id=2), so it is ignored in the calculation.\n - Hence there are 3 unbanned requests in total, 1 of which was canceled.\n - The Cancellation Rate is (1 / 3) = 0.33\nOn 2013-10-02:\n - There were 3 requests in total, 0 of which were canceled.\n - The request with Id=6 was made by a banned client, so it is ignored.\n - Hence there are 2 unbanned requests in total, 0 of which were canceled.\n - The Cancellation Rate is (0 / 2) = 0.00\nOn 2013-10-03:\n - There were 3 requests in total, 1 of which was canceled.\n - The request with Id=8 was made by a banned client, so it is ignored.\n - Hence there are 2 unbanned request in total, 1 of which were canceled.\n - The Cancellation Rate is (1 / 2) = 0.50\n</pre>\n",
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"translatedTitle": "行程和用户",
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"translatedContent": "表：<code>Trips</code>\n<div class=\"original__bRMd\">\n<div>\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| client_id | int |\n| driver_id | int |\n| city_id | int |\n| status | enum |\n| request_at | date | \n+-------------+----------+\nid 是这张表的主键（具有唯一值的列）。\n这张表中存所有出租车的行程信息。每段行程有唯一 id ，其中 client_id 和 driver_id 是 Users 表中 users_id 的外键。\nstatus 是一个表示行程状态的枚举类型，枚举成员为(‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’) 。\n</pre>\n\n<p> </p>\n\n<div class=\"original__bRMd\">\n<div>\n<p>表：<code>Users</code></p>\n</div>\n</div>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| users_id | int |\n| banned | enum |\n| role | enum |\n+-------------+----------+\nusers_id 是这张表的主键（具有唯一值的列）。\n这张表中存所有用户，每个用户都有一个唯一的 users_id ，role 是一个表示用户身份的枚举类型，枚举成员为 (‘client’, ‘driver’, ‘partner’) 。\nbanned 是一个表示用户是否被禁止的枚举类型，枚举成员为 (‘Yes’, ‘No’) 。\n</pre>\n\n<p> </p>\n\n<p><strong>取消率</strong> 的计算方式如下：(被司机或乘客取消的非禁止用户生成的订单数量) / (非禁止用户生成的订单总数)。</p>\n\n<p>编写解决方案找出 <code>\"2013-10-01\"</code><strong> </strong>至 <code>\"2013-10-03\"</code><strong> </strong>期间非禁止用户（<strong>乘客和司机都必须未被禁止</strong>）的取消率。非禁止用户即 banned 为 No 的用户，禁止用户即 banned 为 Yes 的用户。其中取消率 <code>Cancellation Rate</code> 需要四舍五入保留 <strong>两位小数</strong> 。</p>\n\n<p>返回结果表中的数据 <strong>无顺序要求</strong> 。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre>\n<strong>输入：</strong> \nTrips 表：\n+----+-----------+-----------+---------+---------------------+------------+\n| id | client_id | driver_id | city_id | status | request_at |\n+----+-----------+-----------+---------+---------------------+------------+\n| 1 | 1 | 10 | 1 | completed | 2013-10-01 |\n| 2 | 2 | 11 | 1 | cancelled_by_driver | 2013-10-01 |\n| 3 | 3 | 12 | 6 | completed | 2013-10-01 |\n| 4 | 4 | 13 | 6 | cancelled_by_client | 2013-10-01 |\n| 5 | 1 | 10 | 1 | completed | 2013-10-02 |\n| 6 | 2 | 11 | 6 | completed | 2013-10-02 |\n| 7 | 3 | 12 | 6 | completed | 2013-10-02 |\n| 8 | 2 | 12 | 12 | completed | 2013-10-03 |\n| 9 | 3 | 10 | 12 | completed | 2013-10-03 |\n| 10 | 4 | 13 | 12 | cancelled_by_driver | 2013-10-03 |\n+----+-----------+-----------+---------+---------------------+------------+\nUsers 表：\n+----------+--------+--------+\n| users_id | banned | role |\n+----------+--------+--------+\n| 1 | No | client |\n| 2 | Yes | client |\n| 3 | No | client |\n| 4 | No | client |\n| 10 | No | driver |\n| 11 | No | driver |\n| 12 | No | driver |\n| 13 | No | driver |\n+----------+--------+--------+\n<strong>输出：</strong>\n+------------+-------------------+\n| Day | Cancellation Rate |\n+------------+-------------------+\n| 2013-10-01 | 0.33 |\n| 2013-10-02 | 0.00 |\n| 2013-10-03 | 0.50 |\n+------------+-------------------+\n<strong>解释：</strong>\n2013-10-01：\n - 共有 4 条请求，其中 2 条取消。\n - 然而，id=2 的请求是由禁止用户（user_id=2）发出的，所以计算时应当忽略它。\n - 因此，总共有 3 条非禁止请求参与计算，其中 1 条取消。\n - 取消率为 (1 / 3) = 0.33\n2013-10-02：\n - 共有 3 条请求，其中 0 条取消。\n - 然而，id=6 的请求是由禁止用户发出的，所以计算时应当忽略它。\n - 因此，总共有 2 条非禁止请求参与计算，其中 0 条取消。\n - 取消率为 (0 / 2) = 0.00\n2013-10-03：\n - 共有 3 条请求，其中 1 条取消。\n - 然而，id=8 的请求是由禁止用户发出的，所以计算时应当忽略它。\n - 因此，总共有 2 条非禁止请求参与计算，其中 1 条取消。\n - 取消率为 (1 / 2) = 0.50\n</pre>\n</div>\n</div>\n",
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"translatedContent": "表：<code>Trips</code>\n<div class=\"original__bRMd\">\n<div>\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| id | int |\n| client_id | int |\n| driver_id | int |\n| city_id | int |\n| status | enum |\n| request_at | varchar | \n+-------------+----------+\nid 是这张表的主键（具有唯一值的列）。\n这张表中存所有出租车的行程信息。每段行程有唯一 id ，其中 client_id 和 driver_id 是 Users 表中 users_id 的外键。\nstatus 是一个表示行程状态的枚举类型，枚举成员为(‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’) 。\n</pre>\n\n<p> </p>\n\n<div class=\"original__bRMd\">\n<div>\n<p>表：<code>Users</code></p>\n</div>\n</div>\n\n<pre>\n+-------------+----------+\n| Column Name | Type |\n+-------------+----------+\n| users_id | int |\n| banned | enum |\n| role | enum |\n+-------------+----------+\nusers_id 是这张表的主键（具有唯一值的列）。\n这张表中存所有用户，每个用户都有一个唯一的 users_id ，role 是一个表示用户身份的枚举类型，枚举成员为 (‘client’, ‘driver’, ‘partner’) 。\nbanned 是一个表示用户是否被禁止的枚举类型，枚举成员为 (‘Yes’, ‘No’) 。\n</pre>\n\n<p> </p>\n\n<p><strong>取消率</strong> 的计算方式如下：(被司机或乘客取消的非禁止用户生成的订单数量) / (非禁止用户生成的订单总数)。</p>\n\n<p>编写解决方案找出 <code>\"2013-10-01\"</code><strong> </strong>至 <code>\"2013-10-03\"</code><strong> </strong>期间非禁止用户（<strong>乘客和司机都必须未被禁止</strong>）的取消率。非禁止用户即 banned 为 No 的用户，禁止用户即 banned 为 Yes 的用户。其中取消率 <code>Cancellation Rate</code> 需要四舍五入保留 <strong>两位小数</strong> 。</p>\n\n<p>返回结果表中的数据 <strong>无顺序要求</strong> 。</p>\n\n<p>结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre>\n<strong>输入：</strong> \nTrips 表：\n+----+-----------+-----------+---------+---------------------+------------+\n| id | client_id | driver_id | city_id | status | request_at |\n+----+-----------+-----------+---------+---------------------+------------+\n| 1 | 1 | 10 | 1 | completed | 2013-10-01 |\n| 2 | 2 | 11 | 1 | cancelled_by_driver | 2013-10-01 |\n| 3 | 3 | 12 | 6 | completed | 2013-10-01 |\n| 4 | 4 | 13 | 6 | cancelled_by_client | 2013-10-01 |\n| 5 | 1 | 10 | 1 | completed | 2013-10-02 |\n| 6 | 2 | 11 | 6 | completed | 2013-10-02 |\n| 7 | 3 | 12 | 6 | completed | 2013-10-02 |\n| 8 | 2 | 12 | 12 | completed | 2013-10-03 |\n| 9 | 3 | 10 | 12 | completed | 2013-10-03 |\n| 10 | 4 | 13 | 12 | cancelled_by_driver | 2013-10-03 |\n+----+-----------+-----------+---------+---------------------+------------+\nUsers 表：\n+----------+--------+--------+\n| users_id | banned | role |\n+----------+--------+--------+\n| 1 | No | client |\n| 2 | Yes | client |\n| 3 | No | client |\n| 4 | No | client |\n| 10 | No | driver |\n| 11 | No | driver |\n| 12 | No | driver |\n| 13 | No | driver |\n+----------+--------+--------+\n<strong>输出：</strong>\n+------------+-------------------+\n| Day | Cancellation Rate |\n+------------+-------------------+\n| 2013-10-01 | 0.33 |\n| 2013-10-02 | 0.00 |\n| 2013-10-03 | 0.50 |\n+------------+-------------------+\n<strong>解释：</strong>\n2013-10-01：\n - 共有 4 条请求，其中 2 条取消。\n - 然而，id=2 的请求是由禁止用户（user_id=2）发出的，所以计算时应当忽略它。\n - 因此，总共有 3 条非禁止请求参与计算，其中 1 条取消。\n - 取消率为 (1 / 3) = 0.33\n2013-10-02：\n - 共有 3 条请求，其中 0 条取消。\n - 然而，id=6 的请求是由禁止用户发出的，所以计算时应当忽略它。\n - 因此，总共有 2 条非禁止请求参与计算，其中 0 条取消。\n - 取消率为 (0 / 2) = 0.00\n2013-10-03：\n - 共有 3 条请求，其中 1 条取消。\n - 然而，id=8 的请求是由禁止用户发出的，所以计算时应当忽略它。\n - 因此，总共有 2 条非禁止请求参与计算，其中 1 条取消。\n - 取消率为 (1 / 2) = 0.50\n</pre>\n</div>\n</div>\n",
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