update

Author: zhangbk1

README.md

@@ -1,6 +1,6 @@
 # 力扣题库（完整版）
 
-> 最后更新日期： **2024.07.16**
+> 最后更新日期： **2024.08.06**
 >
 > 使用脚本前请务必仔细完整阅读本 `README.md` 文件
 

leetcode-cn/origin-data.json

@@ -0,0 +1,70 @@
+{
+    "data": {
+        "question": {
+            "questionId": "3538",
+            "questionFrontendId": "3237",
+            "categoryTitle": "Algorithms",
+            "boundTopicId": 2865158,
+            "title": "Alt and Tab Simulation",
+            "titleSlug": "alt-and-tab-simulation",
+            "content": null,
+            "translatedTitle": "Alt 和 Tab模拟",
+            "translatedContent": null,
+            "isPaidOnly": true,
+            "difficulty": "Medium",
+            "likes": 0,
+            "dislikes": 0,
+            "isLiked": null,
+            "similarQuestions": "[]",
+            "contributors": [],
+            "langToValidPlayground": null,
+            "topicTags": [
+                {
+                    "name": "Array",
+                    "slug": "array",
+                    "translatedName": "数组",
+                    "__typename": "TopicTagNode"
+                },
+                {
+                    "name": "Hash Table",
+                    "slug": "hash-table",
+                    "translatedName": "哈希表",
+                    "__typename": "TopicTagNode"
+                },
+                {
+                    "name": "Simulation",
+                    "slug": "simulation",
+                    "translatedName": "模拟",
+                    "__typename": "TopicTagNode"
+                }
+            ],
+            "companyTagStats": null,
+            "codeSnippets": null,
+            "stats": "{\"totalAccepted\": \"51\", \"totalSubmission\": \"56\", \"totalAcceptedRaw\": 51, \"totalSubmissionRaw\": 56, \"acRate\": \"91.1%\"}",
+            "hints": [
+                "Let’s answer the queries offline.",
+                "Start from the <b>last</b> query until you reach the first query.",
+                "Each time, append the value of that query to a <code>ans</code> array if it wasn’t already appended.",
+                "Then start from the <b>beginning</b> of <code>windows</code> and append to <code>ans</code> array if it wasn’t already appended."
+            ],
+            "solution": null,
+            "status": null,
+            "sampleTestCase": "[1,2,3]\n[3,3,2]",
+            "metaData": "{\n  \"name\": \"simulationResult\",\n  \"params\": [\n    {\n      \"name\": \"windows\",\n      \"type\": \"integer[]\"\n    },\n    {\n      \"type\": \"integer[]\",\n      \"name\": \"queries\"\n    }\n  ],\n  \"return\": {\n    \"type\": \"integer[]\"\n  }\n}",
+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [],
+            "enableRunCode": true,
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+            "book": null,
+            "isSubscribed": false,
+            "isDailyQuestion": false,
+            "dailyRecordStatus": null,
+            "editorType": "CKEDITOR",
+            "ugcQuestionId": null,
+            "style": "LEETCODE",
+            "exampleTestcases": "[1,2,3]\n[3,3,2]\n[1,4,2,3]\n[4,1,3]",
+            "__typename": "QuestionNode"
+        }
+    }
+}

leetcode-cn/originData/[no content]alt-and-tab-simulation.json

@@ -0,0 +1,64 @@
+{
+    "data": {
+        "question": {
+            "questionId": "3549",
+            "questionFrontendId": "3236",
+            "categoryTitle": "Database",
+            "boundTopicId": 2861886,
+            "title": "CEO Subordinate Hierarchy",
+            "titleSlug": "ceo-subordinate-hierarchy",
+            "content": null,
+            "translatedTitle": "首席执行官下属层级",
+            "translatedContent": null,
+            "isPaidOnly": true,
+            "difficulty": "Hard",
+            "likes": 0,
+            "dislikes": 0,
+            "isLiked": null,
+            "similarQuestions": "[]",
+            "contributors": [],
+            "langToValidPlayground": null,
+            "topicTags": [
+                {
+                    "name": "Database",
+                    "slug": "database",
+                    "translatedName": "数据库",
+                    "__typename": "TopicTagNode"
+                }
+            ],
+            "companyTagStats": null,
+            "codeSnippets": null,
+            "stats": "{\"totalAccepted\": \"45\", \"totalSubmission\": \"57\", \"totalAcceptedRaw\": 45, \"totalSubmissionRaw\": 57, \"acRate\": \"78.9%\"}",
+            "hints": [],
+            "solution": null,
+            "status": null,
+            "sampleTestCase": "{\"headers\":{\"Employees\":[\"employee_id\",\"employee_name\",\"manager_id\",\"salary\"]},\"rows\":{\"Employees\":[[1,\"Alice\",null,150000],[2,\"Bob\",1,120000],[3,\"Charlie\",1,110000],[4,\"David\",2,105000],[5,\"Eve\",2,100000],[6,\"Frank\",3,95000],[7,\"Grace\",3,98000],[8,\"Helen\",5,90000]]}}",
+            "metaData": "{\"mysql\":[\"Create table if not exists employees(employee_id int, employee_name varchar(100), manager_id int, salary int)\"],\"mssql\":[\"Create table employees(employee_id int, employee_name varchar(100), manager_id int, salary int)\"],\"oraclesql\":[\"Create table employees(employee_id NUMBER, employee_name varchar2(100), manager_id NUMBER, salary NUMBER)\"],\"database\":true,\"name\":\"find_subordinates\",\"manual\":false,\"postgresql\":[\"CREATE TABLE IF NOT EXISTS employees (\\n    employee_id INT,\\n    employee_name VARCHAR(100),\\n    manager_id INT,\\n    salary INT\\n);\\n\"],\"pythondata\":[\"Employees = pd.DataFrame(columns=['employee_id', 'employee_name', 'manager_id', 'salary']).astype({\\n    'employee_id': pd.Int64Dtype(),\\n    'employee_name': 'str',\\n    'manager_id': pd.Int64Dtype(),\\n    'salary': pd.Int64Dtype()\\n})\"],\"database_schema\":{\"employees\":{\"employee_id\":\"INT\",\"employee_name\":\"VARCHAR(100)\",\"manager_id\":\"INT\",\"salary\":\"INT\"}}}",
+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [
+                "Create table if not exists employees(employee_id int, employee_name varchar(100), manager_id int, salary int)",
+                "Truncate table Employees",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('1', 'Alice', 'None', '150000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('2', 'Bob', '1', '120000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('3', 'Charlie', '1', '110000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('4', 'David', '2', '105000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('5', 'Eve', '2', '100000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('6', 'Frank', '3', '95000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('7', 'Grace', '3', '98000')",
+                "insert into Employees (employee_id, employee_name, manager_id, salary) values ('8', 'Helen', '5', '90000')"
+            ],
+            "enableRunCode": true,
+            "envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
+            "book": null,
+            "isSubscribed": false,
+            "isDailyQuestion": false,
+            "dailyRecordStatus": null,
+            "editorType": "CKEDITOR",
+            "ugcQuestionId": null,
+            "style": "LEETCODE",
+            "exampleTestcases": "{\"headers\":{\"Employees\":[\"employee_id\",\"employee_name\",\"manager_id\",\"salary\"]},\"rows\":{\"Employees\":[[1,\"Alice\",null,150000],[2,\"Bob\",1,120000],[3,\"Charlie\",1,110000],[4,\"David\",2,105000],[5,\"Eve\",2,100000],[6,\"Frank\",3,95000],[7,\"Grace\",3,98000],[8,\"Helen\",5,90000]]}}",
+            "__typename": "QuestionNode"
+        }
+    }
+}