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@@ -12,12 +12,12 @@
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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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"code": "import pandas as pd\n\ndef daily_leads_and_partners(daily_sales: pd.DataFrame) -> pd.DataFrame:\n ",
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