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小墨
2025-01-09 20:29:41 +08:00
parent 04ecea043d
commit 48cdd06c2b
5053 changed files with 156164 additions and 135322 deletions
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6
leetcode-cn/originData/[no content]find-expensive-cities.json
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@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"43\", \"totalSubmission\": \"46\", \"totalAcceptedRaw\": 43, \"totalSubmissionRaw\": 46, \"acRate\": \"93.5%\"}",
"stats": "{\"totalAccepted\": \"772\", \"totalSubmission\": \"994\", \"totalAcceptedRaw\": 772, \"totalSubmissionRaw\": 994, \"acRate\": \"77.7%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Listings\":[\"listing_id\",\"city\",\"price\"]},\"rows\":{\"Listings\":[[113,\"LosAngeles\",7560386],[136,\"SanFrancisco\",2380268],[92,\"Chicago\",9833209],[60,\"Chicago\",5147582],[8,\"Chicago\",5274441],[79,\"SanFrancisco\",8372065],[37,\"Chicago\",7939595],[53,\"LosAngeles\",4965123],[178,\"SanFrancisco\",999207],[51,\"NewYork\",5951718],[121,\"NewYork\",2893760]]}}",
"metaData": "{\"mysql\":[\"Create Table if Not Exists Listings (listing_id int, city varchar(50), price int)\"],\"mssql\":[\"Create Table Listings (listing_id int, city varchar(50), price int)\"],\"oraclesql\":[\"Create Table Listings (listing_id int, city varchar(50), price int)\"],\"database\":true,\"languages\":[\"mysql\",\"mssql\",\"oraclesql\"],\"database_schema\":{\"Listings\":{\"listing_id\":\"INT\",\"city\":\"VARCHAR(50)\",\"price\":\"INT\"}}}",
"metaData": "{\"mysql\":[\"Create Table if Not Exists Listings (listing_id int, city varchar(50), price int)\"],\"mssql\":[\"Create Table Listings (listing_id int, city varchar(50), price int)\"],\"oraclesql\":[\"Create Table Listings (listing_id int, city varchar(50), price int)\"],\"database\":true,\"name\":\"find_expensive_cities\",\"postgresql\":[\"CREATE TABLE Listings (\\n listing_id SERIAL PRIMARY KEY,\\n city VARCHAR(50),\\n price INT\\n);\\n\"],\"pythondata\":[\"Listings = pd.DataFrame([], columns=['listing_id', 'city', 'price']).astype({'listing_id':'Int64', 'city':'object', 'price':'Int64'})\\n\"],\"database_schema\":{\"Listings\":{\"listing_id\":\"INT\",\"city\":\"VARCHAR(50)\",\"price\":\"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -52,7 +52,7 @@
"insert into Listings (listing_id, city, price) values ('121', 'NewYork', '2893760')"
],
"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>\"]}",
"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,