存量题库数据更新

leetcode-cn/originData/[no content]accepted-candidates-from-the-interviews.json

@@ -12,7 +12,7 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Medium",
-            "likes": 1,
+            "likes": 7,
             "dislikes": 0,
             "isLiked": null,
             "similarQuestions": "[]",
@@ -28,12 +28,12 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"801\", \"totalSubmission\": \"1.1K\", \"totalAcceptedRaw\": 801, \"totalSubmissionRaw\": 1093, \"acRate\": \"73.3%\"}",
+            "stats": "{\"totalAccepted\": \"2.5K\", \"totalSubmission\": \"3.3K\", \"totalAcceptedRaw\": 2501, \"totalSubmissionRaw\": 3280, \"acRate\": \"76.2%\"}",
             "hints": [],
             "solution": null,
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"name\",\"years_of_exp\",\"interview_id\"],\"Rounds\":[\"interview_id\",\"round_id\",\"score\"]},\"rows\":{\"Candidates\":[[11,\"Atticus\",1,101],[9,\"Ruben\",6,104],[6,\"Aliza\",10,109],[8,\"Alfredo\",0,107]],\"Rounds\":[[109,3,4],[101,2,8],[109,4,1],[107,1,3],[104,3,6],[109,1,4],[104,4,7],[104,1,2],[109,2,1],[104,2,7],[107,2,3],[101,1,8]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\n    \"Create table If Not Exists Rounds (interview_id int, round_id int, score int)\"\n  ],\n  \"mssql\": [\n    \"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\n    \"Create table Rounds (interview_id int, round_id int, score int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\n    \"Create table Rounds (interview_id int, round_id int, score int)\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\":[\"Create table If Not Exists Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\"Create table If Not Exists Rounds (interview_id int, round_id int, score int)\"],\"mssql\":[\"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\"Create table Rounds (interview_id int, round_id int, score int)\"],\"oraclesql\":[\"Create table Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\"Create table Rounds (interview_id int, round_id int, score int)\"],\"database\":true,\"name\":\"accepted_candidates\",\"pythondata\":[\"Candidates = pd.DataFrame([], columns=['candidate_id', 'name', 'years_of_exp', 'interview_id']).astype({'candidate_id':'Int64', 'name':'object', 'years_of_exp':'Int64', 'interview_id':'Int64'})\",\"Rounds = pd.DataFrame([], columns=['interview_id', 'round_id', 'score']).astype({'interview_id':'Int64', 'round_id':'Int64', 'score':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Candidates (candidate_id int, name varchar(30), years_of_exp int, interview_id int)\",\"Create table If Not Exists Rounds (interview_id int, round_id int, score int)\"],\"database_schema\":{\"Candidates\":{\"candidate_id\":\"INT\",\"name\":\"VARCHAR(30)\",\"years_of_exp\":\"INT\",\"interview_id\":\"INT\"},\"Rounds\":{\"interview_id\":\"INT\",\"round_id\":\"INT\",\"score\":\"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -59,7 +59,7 @@
                 "insert into Rounds (interview_id, round_id, score) values ('101', '1', '8')"
             ],
             "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 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
             "book": null,
             "isSubscribed": false,
             "isDailyQuestion": false,