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mirror of https://gitee.com/coder-xiaomo/leetcode-problemset synced 2025-09-05 15:31:43 +08:00
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存量题库数据更新

This commit is contained in:
2023-12-09 18:42:21 +08:00
parent a788808cd7
commit c198538f10
10843 changed files with 288489 additions and 248355 deletions

View File

@@ -11,8 +11,8 @@
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Medium",
"likes": 7,
"dislikes": 1,
"likes": 13,
"dislikes": 3,
"isLiked": null,
"similarQuestions": "[]",
"exampleTestcases": "{\"headers\":{\"Flights\":[\"flight_id\",\"capacity\"],\"Passengers\":[\"passenger_id\",\"flight_id\"]},\"rows\":{\"Flights\":[[1,2],[2,2],[3,1]],\"Passengers\":[[101,1],[102,1],[103,1],[104,2],[105,2],[106,3],[107,3]]}}",
@@ -28,12 +28,19 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"355\", \"totalSubmission\": \"852\", \"totalAcceptedRaw\": 355, \"totalSubmissionRaw\": 852, \"acRate\": \"41.7%\"}",
"stats": "{\"totalAccepted\": \"1.1K\", \"totalSubmission\": \"3.1K\", \"totalAcceptedRaw\": 1090, \"totalSubmissionRaw\": 3093, \"acRate\": \"35.2%\"}",
"hints": [],
"solution": null,
"solution": {
"id": "2197",
"canSeeDetail": true,
"paidOnly": false,
"hasVideoSolution": false,
"paidOnlyVideo": true,
"__typename": "ArticleNode"
},
"status": null,
"sampleTestCase": "{\"headers\":{\"Flights\":[\"flight_id\",\"capacity\"],\"Passengers\":[\"passenger_id\",\"flight_id\"]},\"rows\":{\"Flights\":[[1,2],[2,2],[3,1]],\"Passengers\":[[101,1],[102,1],[103,1],[104,2],[105,2],[106,3],[107,3]]}}",
"metaData": "{\"mysql\": [\"Create table if not exists Flights(flight_id int,capacity int)\", \"Create table if not exists Passengers (passenger_id int,flight_id int)\"], \"mssql\": [\"Create table Flights(flight_id int,capacity int)\", \"Create table Passengers (passenger_id int,flight_id int)\"], \"oraclesql\": [\"Create table Flights(flight_id int,capacity int)\", \"Create table Passengers (passenger_id int,flight_id int)\"], \"database\": true, \"name\": \"waitlist_analysis\", \"pythondata\": [\"Flights = pd.DataFrame([], columns=['flight_id', 'capacity']).astype({'flight_id':'Int64', 'capacity':'Int64'})\", \"Passengers = pd.DataFrame([], columns=['passenger_id', 'flight_id']).astype({'passenger_id':'Int64', 'flight_id':'Int64'})\"], \"database_schema\": {\"Flights\": {\"flight_id\": \"INT\", \"capacity\": \"INT\"}, \"Passengers\": {\"passenger_id\": \"INT\", \"flight_id\": \"INT\"}}}",
"metaData": "{\"mysql\": [\"Create table if not exists Flights(flight_id int,capacity int)\", \"Create table if not exists Passengers (passenger_id int,flight_id int)\"], \"mssql\": [\"Create table Flights(flight_id int,capacity int)\", \"Create table Passengers (passenger_id int,flight_id int)\"], \"oraclesql\": [\"Create table Flights(flight_id int,capacity int)\", \"Create table Passengers (passenger_id int,flight_id int)\"], \"database\": true, \"name\": \"waitlist_analysis\", \"pythondata\": [\"Flights = pd.DataFrame([], columns=['flight_id', 'capacity']).astype({'flight_id':'Int64', 'capacity':'Int64'})\", \"Passengers = pd.DataFrame([], columns=['passenger_id', 'flight_id']).astype({'passenger_id':'Int64', 'flight_id':'Int64'})\"], \"postgresql\": [\"Create table if not exists Flights(flight_id int,capacity int)\", \"Create table if not exists Passengers (passenger_id int,flight_id int)\"], \"database_schema\": {\"Flights\": {\"flight_id\": \"INT\", \"capacity\": \"INT\"}, \"Passengers\": {\"passenger_id\": \"INT\", \"flight_id\": \"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -55,7 +62,7 @@
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": false,
"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"]}",
"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,