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https://gitee.com/coder-xiaomo/leetcode-problemset
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71 lines
5.7 KiB
JSON
71 lines
5.7 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1536",
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"questionFrontendId": "1398",
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"categoryTitle": "Database",
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"boundTopicId": 184968,
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"title": "Customers Who Bought Products A and B but Not C",
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"titleSlug": "customers-who-bought-products-a-and-b-but-not-c",
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"content": null,
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"translatedTitle": "购买了产品 A 和产品 B 却没有购买产品 C 的顾客",
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 45,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[]",
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"contributors": [],
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"langToValidPlayground": null,
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": "数据库",
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"15.6K\", \"totalSubmission\": \"22.4K\", \"totalAcceptedRaw\": 15598, \"totalSubmissionRaw\": 22380, \"acRate\": \"69.7%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Customers\":[\"customer_id\",\"customer_name\"],\"Orders\":[\"order_id\",\"customer_id\",\"product_name\"]},\"rows\":{\"Customers\":[[1,\"Daniel\"],[2,\"Diana\"],[3,\"Elizabeth\"],[4,\"Jhon\"]],\"Orders\":[[10,1,\"A\"],[20,1,\"B\"],[30,1,\"D\"],[40,1,\"C\"],[50,2,\"A\"],[60,3,\"A\"],[70,3,\"B\"],[80,3,\"D\"],[90,4,\"C\"]]}}",
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"metaData": "{\"mysql\":[\"Create table If Not Exists Customers (customer_id int, customer_name varchar(30))\",\"Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))\"],\"mssql\":[\"Create table Customers (customer_id int, customer_name varchar(30))\",\"Create table Orders (order_id int, customer_id int, product_name varchar(30))\"],\"oraclesql\":[\"Create table Customers (customer_id int, customer_name varchar(30))\",\"Create table Orders (order_id int, customer_id int, product_name varchar(30))\"],\"database\":true,\"name\":\"find_customers\",\"pythondata\":[\"Customers = pd.DataFrame([], columns=['customer_id', 'customer_name']).astype({'customer_id':'Int64', 'customer_name':'object'})\",\"Orders = pd.DataFrame([], columns=['order_id', 'customer_id', 'product_name']).astype({'order_id':'Int64', 'customer_id':'Int64', 'product_name':'object'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Customers (customer_id int, customer_name varchar(30))\\n\",\"Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))\"],\"database_schema\":{\"Customers\":{\"customer_id\":\"INT\",\"customer_name\":\"VARCHAR(30)\"},\"Orders\":{\"order_id\":\"INT\",\"customer_id\":\"INT\",\"product_name\":\"VARCHAR(30)\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Customers (customer_id int, customer_name varchar(30))",
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"Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))",
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"Truncate table Customers",
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"insert into Customers (customer_id, customer_name) values ('1', 'Daniel')",
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"insert into Customers (customer_id, customer_name) values ('2', 'Diana')",
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"insert into Customers (customer_id, customer_name) values ('3', 'Elizabeth')",
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"insert into Customers (customer_id, customer_name) values ('4', 'Jhon')",
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"Truncate table Orders",
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"insert into Orders (order_id, customer_id, product_name) values ('10', '1', 'A')",
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"insert into Orders (order_id, customer_id, product_name) values ('20', '1', 'B')",
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"insert into Orders (order_id, customer_id, product_name) values ('30', '1', 'D')",
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"insert into Orders (order_id, customer_id, product_name) values ('40', '1', 'C')",
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"insert into Orders (order_id, customer_id, product_name) values ('50', '2', 'A')",
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"insert into Orders (order_id, customer_id, product_name) values ('60', '3', 'A')",
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"insert into Orders (order_id, customer_id, product_name) values ('70', '3', 'B')",
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"insert into Orders (order_id, customer_id, product_name) values ('80', '3', 'D')",
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"insert into Orders (order_id, customer_id, product_name) values ('90', '4', 'C')"
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],
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"enableRunCode": true,
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"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 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
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"book": null,
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"isSubscribed": false,
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"isDailyQuestion": false,
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"dailyRecordStatus": null,
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"editorType": "CKEDITOR",
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"ugcQuestionId": null,
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"Customers\":[\"customer_id\",\"customer_name\"],\"Orders\":[\"order_id\",\"customer_id\",\"product_name\"]},\"rows\":{\"Customers\":[[1,\"Daniel\"],[2,\"Diana\"],[3,\"Elizabeth\"],[4,\"Jhon\"]],\"Orders\":[[10,1,\"A\"],[20,1,\"B\"],[30,1,\"D\"],[40,1,\"C\"],[50,2,\"A\"],[60,3,\"A\"],[70,3,\"B\"],[80,3,\"D\"],[90,4,\"C\"]]}}",
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"__typename": "QuestionNode"
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}
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}
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} |