存量题库数据更新

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

@@ -11,8 +11,8 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Medium",
-            "likes": 20,
-            "dislikes": 17,
+            "likes": 48,
+            "dislikes": 27,
             "isLiked": null,
             "similarQuestions": "[]",
             "exampleTestcases": "{\"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]]}}",
@@ -28,12 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"3.1K\", \"totalSubmission\": \"3.9K\", \"totalAcceptedRaw\": 3054, \"totalSubmissionRaw\": 3928, \"acRate\": \"77.7%\"}",
+            "stats": "{\"totalAccepted\": \"8K\", \"totalSubmission\": \"10.3K\", \"totalAcceptedRaw\": 8012, \"totalSubmissionRaw\": 10299, \"acRate\": \"77.8%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2180",
+                "canSeeDetail": true,
+                "paidOnly": false,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "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": [
@@ -61,7 +68,7 @@
             "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>\"]}",
+            "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,