存量题库数据更新

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

@@ -11,8 +11,8 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Hard",
-            "likes": 84,
-            "dislikes": 41,
+            "likes": 117,
+            "dislikes": 72,
             "isLiked": null,
             "similarQuestions": "[]",
             "exampleTestcases": "{\"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\"]]}}",
@@ -28,12 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"13.5K\", \"totalSubmission\": \"23.3K\", \"totalAcceptedRaw\": 13513, \"totalSubmissionRaw\": 23308, \"acRate\": \"58.0%\"}",
+            "stats": "{\"totalAccepted\": \"17.5K\", \"totalSubmission\": \"30.7K\", \"totalAcceptedRaw\": 17507, \"totalSubmissionRaw\": 30703, \"acRate\": \"57.0%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2071",
+                "canSeeDetail": false,
+                "paidOnly": true,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "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": [
@@ -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,