存量题库数据更新

leetcode/originData/[no content]employees-with-deductions.json

@@ -11,22 +11,29 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Medium",
-            "likes": 1,
-            "dislikes": 2,
+            "likes": 25,
+            "dislikes": 35,
             "isLiked": null,
             "similarQuestions": "[]",
-            "exampleTestcases": null,
+            "exampleTestcases": "{\"headers\": {\"Employees\": [\"employee_id\", \"needed_hours\"], \"Logs\": [\"employee_id\", \"in_time\", \"out_time\"]}, \"rows\": {\"Employees\": [[1, 20], [2, 12], [3, 2]], \"Logs\": [[1, \"2022-10-01 09:00:00\", \"2022-10-01 17:00:00\"],[1, \"2022-10-06 09:05:04\", \"2022-10-06 17:09:03\"], [1, \"2022-10-12 23:00:00\", \"2022-10-13 03:00:01\"], [2, \"2022-10-29 12:00:00\", \"2022-10-29 23:58:58\"]]}}",
             "categoryTitle": "Database",
             "contributors": [],
-            "topicTags": [],
+            "topicTags": [
+                {
+                    "name": "Database",
+                    "slug": "database",
+                    "translatedName": null,
+                    "__typename": "TopicTagNode"
+                }
+            ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"86\", \"totalSubmission\": \"108\", \"totalAcceptedRaw\": 86, \"totalSubmissionRaw\": 108, \"acRate\": \"79.6%\"}",
+            "stats": "{\"totalAccepted\": \"3.1K\", \"totalSubmission\": \"7.7K\", \"totalAcceptedRaw\": 3100, \"totalSubmissionRaw\": 7686, \"acRate\": \"40.3%\"}",
             "hints": [],
             "solution": null,
             "status": null,
             "sampleTestCase": "{\"headers\": {\"Employees\": [\"employee_id\", \"needed_hours\"], \"Logs\": [\"employee_id\", \"in_time\", \"out_time\"]}, \"rows\": {\"Employees\": [[1, 20], [2, 12], [3, 2]], \"Logs\": [[1, \"2022-10-01 09:00:00\", \"2022-10-01 17:00:00\"],[1, \"2022-10-06 09:05:04\", \"2022-10-06 17:09:03\"], [1, \"2022-10-12 23:00:00\", \"2022-10-13 03:00:01\"], [2, \"2022-10-29 12:00:00\", \"2022-10-29 23:58:58\"]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Employees (employee_id int, needed_hours int)\",\n    \"Create table If Not Exists Logs (employee_id int, in_time datetime, out_time datetime)\"\n  ],\n  \"mssql\": [\n    \"Create table Employees (employee_id int, needed_hours int)\",\n    \"Create table Logs (employee_id int, in_time datetime, out_time datetime)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Employees (employee_id int, needed_hours int)\",\n    \"Create table Logs (employee_id int, in_time date, out_time date)\",\n    \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, needed_hours int)\", \"Create table If Not Exists Logs (employee_id int, in_time datetime, out_time datetime)\"], \"mssql\": [\"Create table Employees (employee_id int, needed_hours int)\", \"Create table Logs (employee_id int, in_time datetime, out_time datetime)\"], \"oraclesql\": [\"Create table Employees (employee_id int, needed_hours int)\", \"Create table Logs (employee_id int, in_time date, out_time date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"], \"database\": true, \"name\": \"employees_with_deductions\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'needed_hours']).astype({'employee_id':'Int64', 'needed_hours':'Int64'})\", \"Logs = pd.DataFrame([], columns=['employee_id', 'in_time', 'out_time']).astype({'employee_id':'Int64', 'in_time':'datetime64[ns]', 'out_time':'datetime64[ns]'})\"], \"postgresql\": [\"Create table If Not Exists Employees (employee_id int, needed_hours int)\\n\", \"Create table If Not Exists Logs (employee_id int, in_time timestamp, out_time timestamp)\\n\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"needed_hours\": \"INT\"}, \"Logs\": {\"employee_id\": \"INT\", \"in_time\": \"DATETIME\", \"out_time\": \"DATETIME\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -45,7 +52,7 @@
             "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,