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synced 2025-09-07 16:31:42 +08:00
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leetcode-cn/originData/best-time-to-buy-and-sell-stock-v.json
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leetcode-cn/originData/best-time-to-buy-and-sell-stock-v.json
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leetcode-cn/originData/classes-with-at-least-5-students.json
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leetcode-cn/originData/classes-with-at-least-5-students.json
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"title": "Classes With at Least 5 Students",
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"titleSlug": "classes-with-at-least-5-students",
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"content": "<p>Table: <code>Courses</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| student | varchar |\n| class | varchar |\n+-------------+---------+\n(student, class) is the primary key (combination of columns with unique values) for this table.\nEach row of this table indicates the name of a student and the class in which they are enrolled.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to find all the classes that have <strong>at least five students</strong>.</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> \nCourses table:\n+---------+----------+\n| student | class |\n+---------+----------+\n| A | Math |\n| B | English |\n| C | Math |\n| D | Biology |\n| E | Math |\n| F | Computer |\n| G | Math |\n| H | Math |\n| I | Math |\n+---------+----------+\n<strong>Output:</strong> \n+---------+\n| class |\n+---------+\n| Math |\n+---------+\n<strong>Explanation:</strong> \n- Math has 6 students, so we include it.\n- English has 1 student, so we do not include it.\n- Biology has 1 student, so we do not include it.\n- Computer has 1 student, so we do not include it.\n</pre>\n",
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"translatedTitle": "超过 5 名学生的课",
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"translatedContent": "<p>表: <code>Courses</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| student | varchar |\n| class | varchar |\n+-------------+---------+\n(student, class)是该表的主键（不同值的列的组合）。\n该表的每一行表示学生的名字和他们注册的班级。\n</pre>\n\n<p> </p>\n\n<p>查询 <strong>至少有 5 个学生</strong> 的所有班级。</p>\n\n<p>以 <strong>任意顺序 </strong>返回结果表。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> \nCourses table:\n+---------+----------+\n| student | class |\n+---------+----------+\n| A | Math |\n| B | English |\n| C | Math |\n| D | Biology |\n| E | Math |\n| F | Computer |\n| G | Math |\n| H | Math |\n| I | Math |\n+---------+----------+\n<strong>输出:</strong> \n+---------+ \n| class | \n+---------+ \n| Math | \n+---------+\n<strong>解释: </strong>\n-数学课有 6 个学生，所以我们包括它。\n-英语课有 1 名学生，所以我们不包括它。\n-生物课有 1 名学生，所以我们不包括它。\n-计算机课有 1 个学生，所以我们不包括它。</pre>\n",
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leetcode-cn/originData/count-special-triplets.json
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leetcode-cn/originData/count-special-triplets.json
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leetcode-cn/originData/find-books-with-no-available-copies.json
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leetcode-cn/originData/find-books-with-no-available-copies.json
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leetcode-cn/originData/find-covid-recovery-patients.json
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leetcode-cn/originData/find-covid-recovery-patients.json
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"content": "<p>Table: <code>patients</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| patient_id | int |\n| patient_name| varchar |\n| age | int |\n+-------------+---------+\npatient_id is the unique identifier for this table.\nEach row contains information about a patient.\n</pre>\n\n<p>Table: <code>covid_tests</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| test_id | int |\n| patient_id | int |\n| test_date | date |\n| result | varchar |\n+-------------+---------+\ntest_id is the unique identifier for this table.\nEach row represents a COVID test result. The result can be Positive, Negative, or Inconclusive.\n</pre>\n\n<p>Write a solution to find patients who have <strong>recovered from COVID</strong> - patients who tested positive but later tested negative.</p>\n\n<ul>\n\t<li>A patient is considered recovered if they have <strong>at least one</strong> <strong>Positive</strong> test followed by at least one <strong>Negative</strong> test on a <strong>later date</strong></li>\n\t<li>Calculate the <strong>recovery time</strong> in days as the <strong>difference</strong> between the <strong>first positive test</strong> and the <strong>first negative test</strong> after that <strong>positive test</strong></li>\n\t<li><strong>Only include</strong> patients who have both positive and negative test results</li>\n</ul>\n\n<p>Return <em>the result table ordered by </em><code>recovery_time</code><em> in <strong>ascending</strong> order, then by </em><code>patient_name</code><em> in <strong>ascending</strong> order</em>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>patients table:</p>\n\n<pre class=\"example-io\">\n+------------+--------------+-----+\n| patient_id | patient_name | age |\n+------------+--------------+-----+\n| 1 | Alice Smith | 28 |\n| 2 | Bob Johnson | 35 |\n| 3 | Carol Davis | 42 |\n| 4 | David Wilson | 31 |\n| 5 | Emma Brown | 29 |\n+------------+--------------+-----+\n</pre>\n\n<p>covid_tests table:</p>\n\n<pre class=\"example-io\">\n+---------+------------+------------+--------------+\n| test_id | patient_id | test_date | result |\n+---------+------------+------------+--------------+\n| 1 | 1 | 2023-01-15 | Positive |\n| 2 | 1 | 2023-01-25 | Negative |\n| 3 | 2 | 2023-02-01 | Positive |\n| 4 | 2 | 2023-02-05 | Inconclusive |\n| 5 | 2 | 2023-02-12 | Negative |\n| 6 | 3 | 2023-01-20 | Negative |\n| 7 | 3 | 2023-02-10 | Positive |\n| 8 | 3 | 2023-02-20 | Negative |\n| 9 | 4 | 2023-01-10 | Positive |\n| 10 | 4 | 2023-01-18 | Positive |\n| 11 | 5 | 2023-02-15 | Negative |\n| 12 | 5 | 2023-02-20 | Negative |\n+---------+------------+------------+--------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+------------+--------------+-----+---------------+\n| patient_id | patient_name | age | recovery_time |\n+------------+--------------+-----+---------------+\n| 1 | Alice Smith | 28 | 10 |\n| 3 | Carol Davis | 42 | 10 |\n| 2 | Bob Johnson | 35 | 11 |\n+------------+--------------+-----+---------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Alice Smith (patient_id = 1):</strong>\n\n\t<ul>\n\t\t<li>First positive test: 2023-01-15</li>\n\t\t<li>First negative test after positive: 2023-01-25</li>\n\t\t<li>Recovery time: 25 - 15 = 10 days</li>\n\t</ul>\n\t</li>\n\t<li><strong>Bob Johnson (patient_id = 2):</strong>\n\t<ul>\n\t\t<li>First positive test: 2023-02-01</li>\n\t\t<li>Inconclusive test on 2023-02-05 (ignored for recovery calculation)</li>\n\t\t<li>First negative test after positive: 2023-02-12</li>\n\t\t<li>Recovery time: 12 - 1 = 11 days</li>\n\t</ul>\n\t</li>\n\t<li><strong>Carol Davis (patient_id = 3):</strong>\n\t<ul>\n\t\t<li>Had negative test on 2023-01-20 (before positive test)</li>\n\t\t<li>First positive test: 2023-02-10</li>\n\t\t<li>First negative test after positive: 2023-02-20</li>\n\t\t<li>Recovery time: 20 - 10 = 10 days</li>\n\t</ul>\n\t</li>\n\t<li><strong>Patients not included:</strong>\n\t<ul>\n\t\t<li>David Wilson (patient_id = 4): Only has positive tests, no negative test after positive</li>\n\t\t<li>Emma Brown (patient_id = 5): Only has negative tests, never tested positive</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>Output table is ordered by recovery_time in ascending order, and then by patient_name in ascending order.</p>\n</div>\n",
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"translatedTitle": "寻找 COVID 康复患者",
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"translatedContent": "<p>表：<code>patients</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| patient_id | int |\n| patient_name| varchar |\n| age | int |\n+-------------+---------+\npatient_id 是这张表的唯一主键。\n每一行表示一个患者的信息。\n</pre>\n\n<p>表：<code>covid_tests</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| test_id | int |\n| patient_id | int |\n| test_date | date |\n| result | varchar |\n+-------------+---------+\ntest_id 是这张表的唯一主键。\n每一行代表一个 COVID 检测结果。结果可以是阳性、阴性或不确定。\n</pre>\n\n<p>编写一个解决方案以找到从 COVID 中康复的患者——那些曾经检测呈阳性但后来检测呈阴性的患者。</p>\n\n<ul>\n\t<li>患者如果 <strong>至少有一次阳性</strong> 检测结果后，在 <strong>之后的日期</strong> 至少有一次 <strong>阴性</strong> 检测结果，则被认为已康复。</li>\n\t<li>计算从 <strong>首次阳性检测</strong> 结果到 <strong>该阳性检测</strong> 后的 <strong>首次阴性检测结果</strong> 之间的 <strong>康复时间</strong>（以天为单位）</li>\n\t<li><strong>仅包括 </strong>同时具有阳性及阴性检测结果的患者</li>\n</ul>\n\n<p>返回结果表以<em> </em><code>recovery_time</code><em> </em><strong>升序 </strong>排序，然后以<em> </em><code>patient_name</code><em> </em><strong>升序 </strong>排序。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong></p>\n\n<p>patients 表：</p>\n\n<pre class=\"example-io\">\n+------------+--------------+-----+\n| patient_id | patient_name | age |\n+------------+--------------+-----+\n| 1 | Alice Smith | 28 |\n| 2 | Bob Johnson | 35 |\n| 3 | Carol Davis | 42 |\n| 4 | David Wilson | 31 |\n| 5 | Emma Brown | 29 |\n+------------+--------------+-----+\n</pre>\n\n<p>covid_tests 表：</p>\n\n<pre class=\"example-io\">\n+---------+------------+------------+--------------+\n| test_id | patient_id | test_date | result |\n+---------+------------+------------+--------------+\n| 1 | 1 | 2023-01-15 | Positive |\n| 2 | 1 | 2023-01-25 | Negative |\n| 3 | 2 | 2023-02-01 | Positive |\n| 4 | 2 | 2023-02-05 | Inconclusive |\n| 5 | 2 | 2023-02-12 | Negative |\n| 6 | 3 | 2023-01-20 | Negative |\n| 7 | 3 | 2023-02-10 | Positive |\n| 8 | 3 | 2023-02-20 | Negative |\n| 9 | 4 | 2023-01-10 | Positive |\n| 10 | 4 | 2023-01-18 | Positive |\n| 11 | 5 | 2023-02-15 | Negative |\n| 12 | 5 | 2023-02-20 | Negative |\n+---------+------------+------------+--------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+------------+--------------+-----+---------------+\n| patient_id | patient_name | age | recovery_time |\n+------------+--------------+-----+---------------+\n| 1 | Alice Smith | 28 | 10 |\n| 3 | Carol Davis | 42 | 10 |\n| 2 | Bob Johnson | 35 | 11 |\n+------------+--------------+-----+---------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>Alice Smith (patient_id = 1):</strong>\n\n\t<ul>\n\t\t<li>首次阳性检测：2023-01-15</li>\n\t\t<li>阳性检测后的首次阴性检测：2023-01-25</li>\n\t\t<li>康复时间：25 - 15 = 10 天</li>\n\t</ul>\n\t</li>\n\t<li><strong>Bob Johnson (patient_id = 2):</strong>\n\t<ul>\n\t\t<li>首次阳性检测：2023-02-01</li>\n\t\t<li>测试结果不明确：2023-02-05（忽略计算康复时间）</li>\n\t\t<li>阳性检测后的首次阴性检测：2023-02-12</li>\n\t\t<li>康复时间：12 - 1 = 11 天</li>\n\t</ul>\n\t</li>\n\t<li><strong>Carol Davis (patient_id = 3):</strong>\n\t<ul>\n\t\t<li>检测呈阴性：2023-01-20（在阳性检测前）</li>\n\t\t<li>首次阳性检测：2023-02-10</li>\n\t\t<li>阳性检测后的首次阴性检测：2023-02-20</li>\n\t\t<li>康复时间：20 - 10 = 10 天</li>\n\t</ul>\n\t</li>\n\t<li><strong>没有包含的患者：</strong>\n\t<ul>\n\t\t<li>David Wilson（patient_id = 4）：只有阳性检测，之后没有阴性检测。</li>\n\t\t<li>Emma Brown（patient_id = 5）：只有阴性检测，从未有阳性检测。</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>输出表以 recovery_time 升序排序，然后以 patient_name 升序排序。</p>\n</div>\n",
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|
||||
"code": "import pandas as pd\n\ndef find_covid_recovery_patients(patients: pd.DataFrame, covid_tests: pd.DataFrame) -> pd.DataFrame:\n ",
|
||||
"__typename": "CodeSnippetNode"
|
||||
},
|
||||
{
|
||||
"lang": "PostgreSQL",
|
||||
"langSlug": "postgresql",
|
||||
"code": "-- Write your PostgreSQL query statement below",
|
||||
"__typename": "CodeSnippetNode"
|
||||
}
|
||||
],
|
||||
"stats": "{\"totalAccepted\": \"102\", \"totalSubmission\": \"180\", \"totalAcceptedRaw\": 102, \"totalSubmissionRaw\": 180, \"acRate\": \"56.7%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"patients\":[\"patient_id\",\"patient_name\",\"age\"],\"covid_tests\":[\"test_id\",\"patient_id\",\"test_date\",\"result\"]},\"rows\":{\"patients\":[[1,\"Alice Smith\",28],[2,\"Bob Johnson\",35],[3,\"Carol Davis\",42],[4,\"David Wilson\",31],[5,\"Emma Brown\",29]],\"covid_tests\":[[1,1,\"2023-01-15\",\"Positive\"],[2,1,\"2023-01-25\",\"Negative\"],[3,2,\"2023-02-01\",\"Positive\"],[4,2,\"2023-02-05\",\"Inconclusive\"],[5,2,\"2023-02-12\",\"Negative\"],[6,3,\"2023-01-20\",\"Negative\"],[7,3,\"2023-02-10\",\"Positive\"],[8,3,\"2023-02-20\",\"Negative\"],[9,4,\"2023-01-10\",\"Positive\"],[10,4,\"2023-01-18\",\"Positive\"],[11,5,\"2023-02-15\",\"Negative\"],[12,5,\"2023-02-20\",\"Negative\"]]}}",
|
||||
"metaData": "{\"mysql\":[\"CREATE TABLE patients (\\n patient_id INT,\\n patient_name VARCHAR(255),\\n age INT\\n)\",\"CREATE TABLE covid_tests (\\n test_id INT,\\n patient_id INT,\\n test_date DATE,\\n result VARCHAR(50)\\n)\"],\"mssql\":[\"CREATE TABLE patients (\\n patient_id INT,\\n patient_name VARCHAR(255),\\n age INT\\n)\",\"CREATE TABLE covid_tests (\\n test_id INT,\\n patient_id INT,\\n test_date DATE,\\n result VARCHAR(50)\\n)\"],\"oraclesql\":[\"CREATE TABLE patients (\\n patient_id NUMBER,\\n patient_name VARCHAR2(255),\\n age NUMBER\\n)\",\"CREATE TABLE covid_tests (\\n test_id NUMBER,\\n patient_id NUMBER,\\n test_date DATE,\\n result VARCHAR2(50)\\n)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"find_covid_recovery_patients\",\"postgresql\":[\"CREATE TABLE patients (\\n patient_id INTEGER,\\n patient_name VARCHAR(255),\\n age INTEGER\\n);\\n\",\"CREATE TABLE covid_tests (\\n test_id INTEGER,\\n patient_id INTEGER,\\n test_date DATE,\\n result VARCHAR(50)\\n);\\n\"],\"pythondata\":[\"patients = pd.DataFrame({\\n 'patient_id': pd.Series(dtype='int'),\\n 'patient_name': pd.Series(dtype='str'),\\n 'age': pd.Series(dtype='int')\\n})\",\"covid_tests = pd.DataFrame({\\n 'test_id': pd.Series(dtype='int'),\\n 'patient_id': pd.Series(dtype='int'),\\n 'test_date': pd.Series(dtype='datetime64[ns]'),\\n 'result': pd.Series(dtype='str')\\n})\"],\"database_schema\":{\"patients\":{\"patient_id\":\"INT\",\"patient_name\":\"VARCHAR(255)\",\"age\":\"INT\"},\"covid_tests\":{\"test_id\":\"INT\",\"patient_id\":\"INT\",\"test_date\":\"DATE\",\"result\":\"VARCHAR(50)\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
"CREATE TABLE patients (\n patient_id INT,\n patient_name VARCHAR(255),\n age INT\n)",
|
||||
"CREATE TABLE covid_tests (\n test_id INT,\n patient_id INT,\n test_date DATE,\n result VARCHAR(50)\n)",
|
||||
"Truncate table patients",
|
||||
"insert into patients (patient_id, patient_name, age) values ('1', 'Alice Smith', '28')",
|
||||
"insert into patients (patient_id, patient_name, age) values ('2', 'Bob Johnson', '35')",
|
||||
"insert into patients (patient_id, patient_name, age) values ('3', 'Carol Davis', '42')",
|
||||
"insert into patients (patient_id, patient_name, age) values ('4', 'David Wilson', '31')",
|
||||
"insert into patients (patient_id, patient_name, age) values ('5', 'Emma Brown', '29')",
|
||||
"Truncate table covid_tests",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('1', '1', '2023-01-15', 'Positive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('2', '1', '2023-01-25', 'Negative')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('3', '2', '2023-02-01', 'Positive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('4', '2', '2023-02-05', 'Inconclusive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('5', '2', '2023-02-12', 'Negative')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('6', '3', '2023-01-20', 'Negative')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('7', '3', '2023-02-10', 'Positive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('8', '3', '2023-02-20', 'Negative')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('9', '4', '2023-01-10', 'Positive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('10', '4', '2023-01-18', 'Positive')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('11', '5', '2023-02-15', 'Negative')",
|
||||
"insert into covid_tests (test_id, patient_id, test_date, result) values ('12', '5', '2023-02-20', 'Negative')"
|
||||
],
|
||||
"enableRunCode": true,
|
||||
"envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
|
||||
"book": null,
|
||||
"isSubscribed": false,
|
||||
"isDailyQuestion": false,
|
||||
"dailyRecordStatus": null,
|
||||
"editorType": "CKEDITOR",
|
||||
"ugcQuestionId": null,
|
||||
"style": "LEETCODE",
|
||||
"exampleTestcases": "{\"headers\":{\"patients\":[\"patient_id\",\"patient_name\",\"age\"],\"covid_tests\":[\"test_id\",\"patient_id\",\"test_date\",\"result\"]},\"rows\":{\"patients\":[[1,\"Alice Smith\",28],[2,\"Bob Johnson\",35],[3,\"Carol Davis\",42],[4,\"David Wilson\",31],[5,\"Emma Brown\",29]],\"covid_tests\":[[1,1,\"2023-01-15\",\"Positive\"],[2,1,\"2023-01-25\",\"Negative\"],[3,2,\"2023-02-01\",\"Positive\"],[4,2,\"2023-02-05\",\"Inconclusive\"],[5,2,\"2023-02-12\",\"Negative\"],[6,3,\"2023-01-20\",\"Negative\"],[7,3,\"2023-02-10\",\"Positive\"],[8,3,\"2023-02-20\",\"Negative\"],[9,4,\"2023-01-10\",\"Positive\"],[10,4,\"2023-01-18\",\"Positive\"],[11,5,\"2023-02-15\",\"Negative\"],[12,5,\"2023-02-20\",\"Negative\"]]}}",
|
||||
"__typename": "QuestionNode"
|
||||
}
|
||||
}
|
||||
}
|
||||
204
leetcode-cn/originData/find-weighted-median-node-in-tree.json
Normal file
204
leetcode-cn/originData/find-weighted-median-node-in-tree.json
Normal file
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182
leetcode-cn/originData/generate-tag-for-video-caption.json
Normal file
182
leetcode-cn/originData/generate-tag-for-video-caption.json
Normal file
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195
leetcode-cn/originData/maximize-subarray-gcd-score.json
Normal file
195
leetcode-cn/originData/maximize-subarray-gcd-score.json
Normal file
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207
leetcode-cn/originData/maximum-good-subtree-score.json
Normal file
207
leetcode-cn/originData/maximum-good-subtree-score.json
Normal file
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201
leetcode-cn/originData/minimum-moves-to-clean-the-classroom.json
Normal file
201
leetcode-cn/originData/minimum-moves-to-clean-the-classroom.json
Normal file
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109
leetcode-cn/originData/seasonal-sales-analysis.json
Normal file
109
leetcode-cn/originData/seasonal-sales-analysis.json
Normal file
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Reference in New Issue
Block a user