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@@ -12,12 +12,12 @@
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"translatedContent": "<p>患者信息表: <code>Patients</code></p>\n\n<pre>\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| patient_id | int |\n| patient_name | varchar |\n| conditions | varchar |\n+--------------+---------+\n在 SQL 中,patient_id (患者 ID)是该表的主键。\n'conditions' (疾病)包含 0 个或以上的疾病代码,以空格分隔。\n这个表包含医院中患者的信息。</pre>\n\n<p> </p>\n\n<p>查询患有 I 类糖尿病的患者 ID (patient_id)、患者姓名(patient_name)以及其患有的所有疾病代码(conditions)。I 类糖尿病的代码总是包含前缀 <code>DIAB1</code> 。</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<code><strong>输入:\n</strong>Patients表:</code>\n+------------+--------------+--------------+\n| patient_id | patient_name | conditions |\n+------------+--------------+--------------+\n| 1 | Daniel | YFEV COUGH |\n| 2 | Alice | |\n| 3 | Bob | DIAB100 MYOP |\n| 4 | George | ACNE DIAB100 |\n| 5 | Alain | DIAB201 |\n+------------+--------------+--------------+\n<strong>输出:</strong>\n+------------+--------------+--------------+\n| patient_id | patient_name | conditions |\n+------------+--------------+--------------+\n| 3 | Bob | DIAB100 MYOP |\n| 4 | George | ACNE DIAB100 | \n+------------+--------------+--------------+\n<strong>解释:</strong>Bob 和 George 都患有代码以 DIAB1 开头的疾病。</pre>\n",
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@@ -40,6 +40,12 @@
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"code": "/* Write your T-SQL query statement below */",
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@@ -51,15 +57,9 @@
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"code": "import pandas as pd\n\ndef find_patients(patients: pd.DataFrame) -> pd.DataFrame:\n ",
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