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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-cities-in-each-state-ii.json
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@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"58\", \"totalSubmission\": \"81\", \"totalAcceptedRaw\": 58, \"totalSubmissionRaw\": 81, \"acRate\": \"71.6%\"}",
"stats": "{\"totalAccepted\": \"159\", \"totalSubmission\": \"236\", \"totalAcceptedRaw\": 159, \"totalSubmissionRaw\": 236, \"acRate\": \"67.4%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"cities\":[\"state\",\"city\"]},\"rows\":{\"cities\":[[\"New York\",\"New York City\"],[\"New York\",\"Newark\"],[\"New York\",\"Buffalo\"],[\"New York\",\"Rochester\"],[\"California\",\"San Francisco\"],[\"California\",\"Sacramento\"],[\"California\",\"San Diego\"],[\"California\",\"Los Angeles\"],[\"Texas\",\"Tyler\"],[\"Texas\",\"Temple\"],[\"Texas\",\"Taylor\"],[\"Texas\",\"Dallas\"],[\"Pennsylvania\",\"Philadelphia\"],[\"Pennsylvania\",\"Pittsburgh\"],[\"Pennsylvania\",\"Pottstown\"]]}}",
"metaData": "{\"mysql\":[\"Create table if not exists cities( state varchar(100),city varchar(100))\"],\"mssql\":[\"Create table cities( state varchar(100),city varchar(100))\"],\"oraclesql\":[\"Create table cities( state varchar2(100),city varchar2(100))\"],\"database\":true,\"name\":\"state_city_analysis\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS cities (\\n state VARCHAR(100),\\n city VARCHAR(100)\\n);\\n\"],\"pythondata\":[\"cities = pd.DataFrame({\\n 'state': pd.Series(dtype='str'),\\n 'city': pd.Series(dtype='str')\\n})\"],\"database_schema\":{\"cities\":{\"state\":\"VARCHAR(100)\",\"city\":\"VARCHAR(100)\"}}}",
"metaData": "{\"mysql\":[\"Create table if not exists cities( state varchar(100),city varchar(100))\"],\"mssql\":[\"Create table cities( state varchar(100),city varchar(100))\"],\"oraclesql\":[\"Create table cities( state varchar2(100),city varchar2(100))\"],\"database\":true,\"name\":\"state_city_analysis\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS cities (\\n state VARCHAR(100),\\n city VARCHAR(100)\\n);\\n\"],\"pythondata\":[\"cities = pd.DataFrame(data,columns=('state','city')).astype({'state':'object','city':'object'})\"],\"database_schema\":{\"cities\":{\"state\":\"VARCHAR(100)\",\"city\":\"VARCHAR(100)\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -56,7 +56,7 @@
"insert into cities (state, city) values ('Pennsylvania', 'Pottstown')"
],
"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 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/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,