存量题库数据更新

leetcode-cn/originData/[no content]market-analysis-ii.json

@@ -12,7 +12,7 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Hard",
-            "likes": 20,
+            "likes": 31,
             "dislikes": 0,
             "isLiked": null,
             "similarQuestions": "[]",
@@ -28,12 +28,12 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"5.3K\", \"totalSubmission\": \"10.6K\", \"totalAcceptedRaw\": 5289, \"totalSubmissionRaw\": 10595, \"acRate\": \"49.9%\"}",
+            "stats": "{\"totalAccepted\": \"7.7K\", \"totalSubmission\": \"15.3K\", \"totalAcceptedRaw\": 7746, \"totalSubmissionRaw\": 15295, \"acRate\": \"50.6%\"}",
             "hints": [],
             "solution": null,
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2019-01-01\",\"Lenovo\"],[2,\"2019-02-09\",\"Samsung\"],[3,\"2019-01-19\",\"LG\"],[4,\"2019-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2019-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2019-08-04\",1,4,2],[5,\"2019-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\",\n    \"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\n    \"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"\n  ],\n  \"mssql\": [\n    \"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\n    \"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\n    \"Create table Items (item_id int, item_brand varchar(10))\"\n  ],\n  \"oraclesql\": [\n    \"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\n    \"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\n    \"Create table Items (item_id int, item_brand varchar(10))\",\n    \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\":[\"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"],\"mssql\":[\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table Items (item_id int, item_brand varchar(10))\"],\"oraclesql\":[\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\",\"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table Items (item_id int, item_brand varchar(10))\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"market_analysis\",\"pythondata\":[\"Users = pd.DataFrame([], columns=['user_id', 'join_date', 'favorite_brand']).astype({'user_id':'Int64', 'join_date':'datetime64[ns]', 'favorite_brand':'object'})\\n\",\"Orders = pd.DataFrame([], columns=['order_id', 'order_date', 'item_id', 'buyer_id', 'seller_id']).astype({'order_id':'Int64', 'order_date':'datetime64[ns]', 'item_id':'Int64', 'buyer_id':'Int64', 'seller_id':'Int64'})\",\"Items = pd.DataFrame([], columns=['item_id', 'item_brand']).astype({'item_id':'Int64', 'item_brand':'object'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\\n\",\"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\",\"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"],\"database_schema\":{\"Users\":{\"user_id\":\"INT\",\"join_date\":\"DATE\",\"favorite_brand\":\"VARCHAR(10)\"},\"Orders\":{\"order_id\":\"INT\",\"order_date\":\"DATE\",\"item_id\":\"INT\",\"buyer_id\":\"INT\",\"seller_id\":\"INT\"},\"Items\":{\"item_id\":\"INT\",\"item_brand\":\"VARCHAR(10)\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -59,7 +59,7 @@
                 "insert into Items (item_id, item_brand) values ('4', 'HP')"
             ],
             "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,