存量题库数据更新

leetcode/originData/[no content]find-active-users.json

@@ -11,22 +11,29 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Medium",
-            "likes": 2,
-            "dislikes": 1,
+            "likes": 19,
+            "dislikes": 4,
             "isLiked": null,
             "similarQuestions": "[]",
-            "exampleTestcases": null,
+            "exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"item\",\"created_at\",\"amount\"]},\"rows\":{\"Users\":[[5,\"Smart Crock Pot\",\"2021-09-18\",698882],[6,\"Smart Lock\",\"2021-09-14\",11487],[6,\"Smart Thermostat\",\"2021-09-10\",674762],[8,\"Smart Light Strip\",\"2021-09-29\",630773],[4,\"Smart Cat Feeder\",\"2021-09-02\",693545],[4,\"Smart Bed\",\"2021-09-13\",170249]]}}",
             "categoryTitle": "Database",
             "contributors": [],
-            "topicTags": [],
+            "topicTags": [
+                {
+                    "name": "Database",
+                    "slug": "database",
+                    "translatedName": null,
+                    "__typename": "TopicTagNode"
+                }
+            ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"55\", \"totalSubmission\": \"181\", \"totalAcceptedRaw\": 55, \"totalSubmissionRaw\": 181, \"acRate\": \"30.4%\"}",
+            "stats": "{\"totalAccepted\": \"1.5K\", \"totalSubmission\": \"4K\", \"totalAcceptedRaw\": 1523, \"totalSubmissionRaw\": 4000, \"acRate\": \"38.1%\"}",
             "hints": [],
             "solution": null,
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"item\",\"created_at\",\"amount\"]},\"rows\":{\"Users\":[[5,\"Smart Crock Pot\",\"2021-09-18\",698882],[6,\"Smart Lock\",\"2021-09-14\",11487],[6,\"Smart Thermostat\",\"2021-09-10\",674762],[8,\"Smart Light Strip\",\"2021-09-29\",630773],[4,\"Smart Cat Feeder\",\"2021-09-02\",693545],[4,\"Smart Bed\",\"2021-09-13\",170249]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Users (user_id int, item varchar(100),created_at date,amount int)\"\n  ],\n  \"mssql\": [\n    \"Create table Users (user_id int, item varchar(100),created_at date,amount int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Users (user_id int, item varchar(100),created_at date,amount int)\",\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, item varchar(100),created_at date,amount int)\"], \"mssql\": [\"Create table Users (user_id int, item varchar(100),created_at date,amount int)\"], \"oraclesql\": [\"Create table Users (user_id int, item varchar(100),created_at date,amount int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"find_active_users\", \"pythondata\": [\"Users = pd.DataFrame([], columns=['user_id', 'item', 'created_at', 'amount']).astype({'user_id':'Int64', 'item':'object', 'created_at':'datetime64[ns]', 'amount':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Users (user_id int, item varchar(100),created_at date,amount int)\"], \"database_schema\": {\"Users\": {\"user_id\": \"INT\", \"item\": \"VARCHAR(100)\", \"created_at\": \"DATE\", \"amount\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -42,7 +49,7 @@
             "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,