存量题库数据更新

leetcode/originData/[no content]average-salary-departments-vs-company.json

@@ -11,8 +11,8 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Hard",
-            "likes": 175,
-            "dislikes": 59,
+            "likes": 231,
+            "dislikes": 72,
             "isLiked": null,
             "similarQuestions": "[{\"title\": \"Countries You Can Safely Invest In\", \"titleSlug\": \"countries-you-can-safely-invest-in\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
             "exampleTestcases": "{\"headers\":{\"Salary\":[\"id\",\"employee_id\",\"amount\",\"pay_date\"],\"Employee\":[\"employee_id\",\"department_id\"]},\"rows\":{\"Salary\":[[1,1,9000,\"2017/03/31\"],[2,2,6000,\"2017/03/31\"],[3,3,10000,\"2017/03/31\"],[4,1,7000,\"2017/02/28\"],[5,2,6000,\"2017/02/28\"],[6,3,8000,\"2017/02/28\"]],\"Employee\":[[1,1],[2,2],[3,2]]}}",
@@ -28,19 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"25.9K\", \"totalSubmission\": \"46.1K\", \"totalAcceptedRaw\": 25909, \"totalSubmissionRaw\": 46059, \"acRate\": \"56.3%\"}",
+            "stats": "{\"totalAccepted\": \"34K\", \"totalSubmission\": \"60.7K\", \"totalAcceptedRaw\": 34014, \"totalSubmissionRaw\": 60696, \"acRate\": \"56.0%\"}",
             "hints": [],
             "solution": {
                 "id": "169",
-                "canSeeDetail": true,
-                "paidOnly": false,
+                "canSeeDetail": false,
+                "paidOnly": true,
                 "hasVideoSolution": false,
                 "paidOnlyVideo": true,
                 "__typename": "ArticleNode"
             },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Salary\":[\"id\",\"employee_id\",\"amount\",\"pay_date\"],\"Employee\":[\"employee_id\",\"department_id\"]},\"rows\":{\"Salary\":[[1,1,9000,\"2017/03/31\"],[2,2,6000,\"2017/03/31\"],[3,3,10000,\"2017/03/31\"],[4,1,7000,\"2017/02/28\"],[5,2,6000,\"2017/02/28\"],[6,3,8000,\"2017/02/28\"]],\"Employee\":[[1,1],[2,2],[3,2]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\",\n    \"Create table If Not Exists Employee (employee_id int, department_id int)\"\n  ],\n  \"mssql\": [\n    \"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\n    \"Create table Employee (employee_id int, department_id int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Salary (id int, employee_id int, amount int, pay_date date)\",\n    \"Create table Employee (employee_id int, department_id int)\",\n    \"alter SESSION set NLS_DATE_FORMAT = 'YYYY/MM/DD'\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\", \"Create table If Not Exists Employee (employee_id int, department_id int)\"], \"mssql\": [\"Create table Salary (id int, employee_id int, amount int, pay_date date)\", \"Create table Employee (employee_id int, department_id int)\"], \"oraclesql\": [\"Create table Salary (id int, employee_id int, amount int, pay_date date)\", \"Create table Employee (employee_id int, department_id int)\", \"alter SESSION set NLS_DATE_FORMAT = 'YYYY/MM/DD'\"], \"database\": true, \"name\": \"average_salary\", \"pythondata\": [\"Salary = pd.DataFrame([], columns=['id', 'employee_id', 'amount', 'pay_date']).astype({'id':'Int64', 'employee_id':'Int64', 'amount':'Int64', 'pay_date':'datetime64[ns]'})\", \"Employee = pd.DataFrame([], columns=['employee_id', 'department_id']).astype({'employee_id':'Int64', 'department_id':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Salary (id int, employee_id int, amount int, pay_date date)\\n\", \"Create table If Not Exists Employee (employee_id int, department_id int)\"], \"database_schema\": {\"Salary\": {\"id\": \"INT\", \"employee_id\": \"INT\", \"amount\": \"INT\", \"pay_date\": \"DATE\"}, \"Employee\": {\"employee_id\": \"INT\", \"department_id\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -61,7 +61,7 @@
             "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,