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存量题库数据更新
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@@ -7,17 +7,17 @@
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"boundTopicId": 527580,
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"title": "Daily Leads and Partners",
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"titleSlug": "daily-leads-and-partners",
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"content": "<p>Table: <code>DailySales</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| date_id | date |\n| make_name | varchar |\n| lead_id | int |\n| partner_id | int |\n+-------------+---------+\nThis table does not have a primary key.\nThis table contains the date and the name of the product sold and the IDs of the lead and partner it was sold to.\nThe name consists of only lowercase English letters.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query that will, for each <code>date_id</code> and <code>make_name</code>, return the number of <strong>distinct</strong> <code>lead_id</code>'s and <strong>distinct</strong> <code>partner_id</code>'s.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nDailySales table:\n+-----------+-----------+---------+------------+\n| date_id | make_name | lead_id | partner_id |\n+-----------+-----------+---------+------------+\n| 2020-12-8 | toyota | 0 | 1 |\n| 2020-12-8 | toyota | 1 | 0 |\n| 2020-12-8 | toyota | 1 | 2 |\n| 2020-12-7 | toyota | 0 | 2 |\n| 2020-12-7 | toyota | 0 | 1 |\n| 2020-12-8 | honda | 1 | 2 |\n| 2020-12-8 | honda | 2 | 1 |\n| 2020-12-7 | honda | 0 | 1 |\n| 2020-12-7 | honda | 1 | 2 |\n| 2020-12-7 | honda | 2 | 1 |\n+-----------+-----------+---------+------------+\n<strong>Output:</strong> \n+-----------+-----------+--------------+-----------------+\n| date_id | make_name | unique_leads | unique_partners |\n+-----------+-----------+--------------+-----------------+\n| 2020-12-8 | toyota | 2 | 3 |\n| 2020-12-7 | toyota | 1 | 2 |\n| 2020-12-8 | honda | 2 | 2 |\n| 2020-12-7 | honda | 3 | 2 |\n+-----------+-----------+--------------+-----------------+\n<strong>Explanation:</strong> \nFor 2020-12-8, toyota gets leads = [0, 1] and partners = [0, 1, 2] while honda gets leads = [1, 2] and partners = [1, 2].\nFor 2020-12-7, toyota gets leads = [0] and partners = [1, 2] while honda gets leads = [0, 1, 2] and partners = [1, 2].\n</pre>\n",
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"content": "<p>Table: <code>DailySales</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| date_id | date |\n| make_name | varchar |\n| lead_id | int |\n| partner_id | int |\n+-------------+---------+\nThere is no primary key (column with unique values) for this table. It may contain duplicates.\nThis table contains the date and the name of the product sold and the IDs of the lead and partner it was sold to.\nThe name consists of only lowercase English letters.\n</pre>\n\n<p> </p>\n\n<p>For each <code>date_id</code> and <code>make_name</code>, find the number of <strong>distinct</strong> <code>lead_id</code>'s and <strong>distinct</strong> <code>partner_id</code>'s.</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> \nDailySales table:\n+-----------+-----------+---------+------------+\n| date_id | make_name | lead_id | partner_id |\n+-----------+-----------+---------+------------+\n| 2020-12-8 | toyota | 0 | 1 |\n| 2020-12-8 | toyota | 1 | 0 |\n| 2020-12-8 | toyota | 1 | 2 |\n| 2020-12-7 | toyota | 0 | 2 |\n| 2020-12-7 | toyota | 0 | 1 |\n| 2020-12-8 | honda | 1 | 2 |\n| 2020-12-8 | honda | 2 | 1 |\n| 2020-12-7 | honda | 0 | 1 |\n| 2020-12-7 | honda | 1 | 2 |\n| 2020-12-7 | honda | 2 | 1 |\n+-----------+-----------+---------+------------+\n<strong>Output:</strong> \n+-----------+-----------+--------------+-----------------+\n| date_id | make_name | unique_leads | unique_partners |\n+-----------+-----------+--------------+-----------------+\n| 2020-12-8 | toyota | 2 | 3 |\n| 2020-12-7 | toyota | 1 | 2 |\n| 2020-12-8 | honda | 2 | 2 |\n| 2020-12-7 | honda | 3 | 2 |\n+-----------+-----------+--------------+-----------------+\n<strong>Explanation:</strong> \nFor 2020-12-8, toyota gets leads = [0, 1] and partners = [0, 1, 2] while honda gets leads = [1, 2] and partners = [1, 2].\nFor 2020-12-7, toyota gets leads = [0] and partners = [1, 2] while honda gets leads = [0, 1, 2] and partners = [1, 2].\n</pre>\n",
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"translatedTitle": "每天的领导和合伙人",
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"translatedContent": "<p>表：<code>DailySales</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| date_id | date |\n| make_name | varchar |\n| lead_id | int |\n| partner_id | int |\n+-------------+---------+\n该表没有主键。\n该表包含日期、产品的名称，以及售给的领导和合伙人的编号。\n名称只包含小写英文字母。</pre>\n\n<p> </p>\n\n<p>写一条 SQL 语句，使得对于每一个 <code>date_id</code> 和 <code>make_name</code>，返回<strong>不同</strong>的 <code>lead_id</code> 以及<strong>不同</strong>的 <code>partner_id</code> 的数量。</p>\n\n<p>按 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>查询结果格式如下示例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nDailySales 表：\n+-----------+-----------+---------+------------+\n| date_id | make_name | lead_id | partner_id |\n+-----------+-----------+---------+------------+\n| 2020-12-8 | toyota | 0 | 1 |\n| 2020-12-8 | toyota | 1 | 0 |\n| 2020-12-8 | toyota | 1 | 2 |\n| 2020-12-7 | toyota | 0 | 2 |\n| 2020-12-7 | toyota | 0 | 1 |\n| 2020-12-8 | honda | 1 | 2 |\n| 2020-12-8 | honda | 2 | 1 |\n| 2020-12-7 | honda | 0 | 1 |\n| 2020-12-7 | honda | 1 | 2 |\n| 2020-12-7 | honda | 2 | 1 |\n+-----------+-----------+---------+------------+\n<strong>输出：</strong>\n+-----------+-----------+--------------+-----------------+\n| date_id | make_name | unique_leads | unique_partners |\n+-----------+-----------+--------------+-----------------+\n| 2020-12-8 | toyota | 2 | 3 |\n| 2020-12-7 | toyota | 1 | 2 |\n| 2020-12-8 | honda | 2 | 2 |\n| 2020-12-7 | honda | 3 | 2 |\n+-----------+-----------+--------------+-----------------+\n<strong>解释：</strong>\n在 2020-12-8，丰田（toyota）有领导者 = [0, 1] 和合伙人 = [0, 1, 2] ，同时本田（honda）有领导者 = [1, 2] 和合伙人 = [1, 2]。\n在 2020-12-7，丰田（toyota）有领导者 = [0] 和合伙人 = [1, 2] ，同时本田（honda）有领导者 = [0, 1, 2] 和合伙人 = [1, 2]。</pre>\n",
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"translatedContent": "<p>表：<code>DailySales</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| date_id | date |\n| make_name | varchar |\n| lead_id | int |\n| partner_id | int |\n+-------------+---------+\n该表没有主键(具有唯一值的列)。它可能包含重复项。\n该表包含日期、产品的名称，以及售给的领导和合伙人的编号。\n名称只包含小写英文字母。</pre>\n\n<p> </p>\n\n<p>对于每一个 <code>date_id</code> 和 <code>make_name</code>，找出 <strong>不同 </strong>的 <code>lead_id</code> 以及 <strong>不同 </strong>的 <code>partner_id</code> 的数量。</p>\n\n<p>按 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nDailySales 表：\n+-----------+-----------+---------+------------+\n| date_id | make_name | lead_id | partner_id |\n+-----------+-----------+---------+------------+\n| 2020-12-8 | toyota | 0 | 1 |\n| 2020-12-8 | toyota | 1 | 0 |\n| 2020-12-8 | toyota | 1 | 2 |\n| 2020-12-7 | toyota | 0 | 2 |\n| 2020-12-7 | toyota | 0 | 1 |\n| 2020-12-8 | honda | 1 | 2 |\n| 2020-12-8 | honda | 2 | 1 |\n| 2020-12-7 | honda | 0 | 1 |\n| 2020-12-7 | honda | 1 | 2 |\n| 2020-12-7 | honda | 2 | 1 |\n+-----------+-----------+---------+------------+\n<strong>输出：</strong>\n+-----------+-----------+--------------+-----------------+\n| date_id | make_name | unique_leads | unique_partners |\n+-----------+-----------+--------------+-----------------+\n| 2020-12-8 | toyota | 2 | 3 |\n| 2020-12-7 | toyota | 1 | 2 |\n| 2020-12-8 | honda | 2 | 2 |\n| 2020-12-7 | honda | 3 | 2 |\n+-----------+-----------+--------------+-----------------+\n<strong>解释：</strong>\n在 2020-12-8，丰田（toyota）有领导者 = [0, 1] 和合伙人 = [0, 1, 2] ，同时本田（honda）有领导者 = [1, 2] 和合伙人 = [1, 2]。\n在 2020-12-7，丰田（toyota）有领导者 = [0] 和合伙人 = [1, 2] ，同时本田（honda）有领导者 = [0, 1, 2] 和合伙人 = [1, 2]。</pre>\n",
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@@ -45,14 +45,26 @@
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"code": "/* Write your PL/SQL query statement below */",
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"code": "import pandas as pd\n\ndef daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:\n ",
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"sampleTestCase": "{\"headers\":{\"DailySales\":[\"date_id\",\"make_name\",\"lead_id\",\"partner_id\"]},\"rows\":{\"DailySales\":[[\"2020-12-8\",\"toyota\",0,1],[\"2020-12-8\",\"toyota\",1,0],[\"2020-12-8\",\"toyota\",1,2],[\"2020-12-7\",\"toyota\",0,2],[\"2020-12-7\",\"toyota\",0,1],[\"2020-12-8\",\"honda\",1,2],[\"2020-12-8\",\"honda\",2,1],[\"2020-12-7\",\"honda\",0,1],[\"2020-12-7\",\"honda\",1,2],[\"2020-12-7\",\"honda\",2,1]]}}",
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@@ -70,7 +82,7 @@
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"insert into DailySales (date_id, make_name, lead_id, partner_id) values ('2020-12-7', 'honda', '2', '1')"
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