存量题库数据更新

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

@@ -11,8 +11,8 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Easy",
-            "likes": 186,
-            "dislikes": 37,
+            "likes": 261,
+            "dislikes": 46,
             "isLiked": null,
             "similarQuestions": "[{\"title\": \"Sales Analysis I\", \"titleSlug\": \"sales-analysis-i\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Sales Analysis III\", \"titleSlug\": \"sales-analysis-iii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
             "exampleTestcases": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,1,3,\"2019-06-02\",1,800],[3,3,3,\"2019-05-13\",2,2800]]}}",
@@ -28,12 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"40.9K\", \"totalSubmission\": \"81.1K\", \"totalAcceptedRaw\": 40905, \"totalSubmissionRaw\": 81051, \"acRate\": \"50.5%\"}",
+            "stats": "{\"totalAccepted\": \"55.2K\", \"totalSubmission\": \"111.3K\", \"totalAcceptedRaw\": 55245, \"totalSubmissionRaw\": 111321, \"acRate\": \"49.6%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2078",
+                "canSeeDetail": false,
+                "paidOnly": true,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,1,3,\"2019-06-02\",1,800],[3,3,3,\"2019-05-13\",2,2800]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\",\n    \"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"\n  ],\n  \"mssql\": [\n    \"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\n    \"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\n    \"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\",\n    \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\", \"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"], \"mssql\": [\"Create table Product (product_id int, product_name varchar(10), unit_price int)\", \"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"], \"oraclesql\": [\"Create table Product (product_id int, product_name varchar(10), unit_price int)\", \"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"sales_analysis\", \"pythondata\": [\"Product = pd.DataFrame([], columns=['product_id', 'product_name', 'unit_price']).astype({'product_id':'Int64', 'product_name':'object', 'unit_price':'Int64'})\", \"Sales = pd.DataFrame([], columns=['seller_id', 'product_id', 'buyer_id', 'sale_date', 'quantity', 'price']).astype({'seller_id':'Int64', 'product_id':'Int64', 'buyer_id':'Int64', 'sale_date':'datetime64[ns]', 'quantity':'Int64', 'price':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\\n\", \"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"], \"database_schema\": {\"Product\": {\"product_id\": \"INT\", \"product_name\": \"VARCHAR(10)\", \"unit_price\": \"INT\"}, \"Sales\": {\"seller_id\": \"INT\", \"product_id\": \"INT\", \"buyer_id\": \"INT\", \"sale_date\": \"DATE\", \"quantity\": \"INT\", \"price\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -52,7 +59,7 @@
             "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,