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‎README.md

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# 力扣题库（完整版）
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3-
> 最后更新日期： **2024.05.16**
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> 最后更新日期： **2024.06.05**
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>
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> 使用脚本前请务必仔细完整阅读本 `README.md` 文件
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‎leetcode-cn/origin-data.json

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‎leetcode-cn/originData/[no content]better-compression-of-string.json

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{
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"data": {
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"question": {
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"questionId": "3474",
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"questionFrontendId": "3167",
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"categoryTitle": "Algorithms",
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"boundTopicId": 2795068,
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"title": "Better Compression of String",
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"titleSlug": "better-compression-of-string",
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"content": null,
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"translatedTitle": "字符串的更好压缩",
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"translatedContent": null,
13+
"isPaidOnly": true,
14+
"difficulty": "Medium",
15+
"likes": 0,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[{\"title\": \"String Compression\", \"titleSlug\": \"string-compression\", \"difficulty\": \"Medium\", \"translatedTitle\": \"\\u538b\\u7f29\\u5b57\\u7b26\\u4e32\", \"isPaidOnly\": false}]",
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"contributors": [],
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"langToValidPlayground": null,
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"topicTags": [
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{
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"name": "Hash Table",
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"slug": "hash-table",
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"translatedName": "哈希表",
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"__typename": "TopicTagNode"
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},
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{
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"name": "String",
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"slug": "string",
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"translatedName": "字符串",
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"__typename": "TopicTagNode"
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},
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{
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"name": "Counting",
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"slug": "counting",
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"translatedName": "计数",
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"__typename": "TopicTagNode"
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{
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"name": "Sorting",
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"slug": "sorting",
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"translatedName": "排序",
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],
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"companyTagStats": null,
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"stats": "{\"totalAccepted\": \"53\", \"totalSubmission\": \"57\", \"totalAcceptedRaw\": 53, \"totalSubmissionRaw\": 57, \"acRate\": \"93.0%\"}",
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"hints": [
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"This is an implementation problem.",
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"Try to extract each character with its corresponding frequency.",
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"Sum the frequencies for a single character.",
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"Sort characters and append them to a string in alphabetical order."
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],
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"solution": null,
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"status": null,
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"sampleTestCase": "\"a3c9b2c1\"",
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"metaData": "{\n \"name\": \"betterCompression\",\n \"params\": [\n {\n \"name\": \"compressed\",\n \"type\": \"string\"\n }\n ],\n \"return\": {\n \"type\": \"string\"\n }\n}",
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"judgerAvailable": true,
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"enableRunCode": true,
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‎leetcode-cn/originData/[no content]calculate-parking-fees-and-duration.json

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{
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"data": {
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"questionId": "3473",
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"categoryTitle": "Database",
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"title": "Calculate Parking Fees and Duration",
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"titleSlug": "calculate-parking-fees-and-duration",
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"content": null,
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"translatedTitle": "计算停车费与时长",
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"sampleTestCase": "{\"headers\":{\"ParkingTransactions\":[\"lot_id\",\"car_id\",\"entry_time\",\"exit_time\",\"fee_paid\"]},\"rows\":{\"ParkingTransactions\":[[1,1001,\"2023-06-01 08:00:00\",\"2023-06-01 10:30:00\",5.00],[1,1001,\"2023-06-02 11:00:00\",\"2023-06-02 12:45:00\",3.00],[2,1001,\"2023-06-01 10:45:00\",\"2023-06-01 12:00:00\",6.00],[2,1002,\"2023-06-01 09:00:00\",\"2023-06-01 11:30:00\",4.00],[3,1001,\"2023-06-03 07:00:00\",\"2023-06-03 09:00:00\",4.00],[3,1002,\"2023-06-02 12:00:00\",\"2023-06-02 14:00:00\",2.00]]}}",
36+
"metaData": "{\"mysql\":[\"CREATE TABLE If not exists ParkingTransactions (\\n lot_id INT,\\n car_id INT,\\n entry_time DATETIME,\\n exit_time DATETIME,\\n fee_paid DECIMAL(10, 2)\\n)\\n\"],\"mssql\":[\"CREATE TABLE ParkingTransactions (\\n lot_id INT,\\n car_id INT,\\n entry_time DATETIME,\\n exit_time DATETIME,\\n fee_paid DECIMAL(10, 2)\\n);\\n\"],\"oraclesql\":[\"CREATE TABLE ParkingTransactions (\\n lot_id NUMBER,\\n car_id NUMBER,\\n entry_time DATE,\\n exit_time DATE,\\n fee_paid NUMBER(10, 2)\\n)\\n\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"],\"database\":true,\"name\":\"calculate_fees_and_duration\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS ParkingTransactions (\\n lot_id INTEGER,\\n car_id INTEGER,\\n entry_time TIMESTAMP,\\n exit_time TIMESTAMP,\\n fee_paid NUMERIC(10, 2)\\n);\"],\"pythondata\":[\"ParkingTransactions = pd.DataFrame([], columns=['lot_id', 'car_id', 'entry_time', 'exit_time', 'fee_paid']).astype({\\n 'lot_id': 'Int64',\\n 'car_id': 'Int64',\\n 'entry_time': 'datetime64[ns]',\\n 'exit_time': 'datetime64[ns]',\\n 'fee_paid': 'float64'\\n})\"],\"database_schema\":{\"ParkingTransactions\":{\"lot_id\":\"INT\",\"car_id\":\"INT\",\"entry_time\":\"DATETIME\",\"exit_time\":\"DATETIME\",\"fee_paid\":\"DECIMAL(10, 2)\"}}}",
37+
"judgerAvailable": true,
38+
"judgeType": "large",
39+
"mysqlSchemas": [
40+
"CREATE TABLE If not exists ParkingTransactions (\n lot_id INT,\n car_id INT,\n entry_time DATETIME,\n exit_time DATETIME,\n fee_paid DECIMAL(10, 2)\n)\n",
41+
"Truncate table ParkingTransactions",
42+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('1', '1001', '2023-06-01 08:00:00', '2023-06-01 10:30:00', '5.0')",
43+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('1', '1001', '2023-06-02 11:00:00', '2023-06-02 12:45:00', '3.0')",
44+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('2', '1001', '2023-06-01 10:45:00', '2023-06-01 12:00:00', '6.0')",
45+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('2', '1002', '2023-06-01 09:00:00', '2023-06-01 11:30:00', '4.0')",
46+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('3', '1001', '2023-06-03 07:00:00', '2023-06-03 09:00:00', '4.0')",
47+
"insert into ParkingTransactions (lot_id, car_id, entry_time, exit_time, fee_paid) values ('3', '1002', '2023-06-02 12:00:00', '2023-06-02 14:00:00', '2.0')"
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],
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"enableRunCode": true,
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"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>\"]}",
51+
"book": null,
52+
"isSubscribed": false,
53+
"isDailyQuestion": false,
54+
"dailyRecordStatus": null,
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"editorType": "CKEDITOR",
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"ugcQuestionId": null,
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"ParkingTransactions\":[\"lot_id\",\"car_id\",\"entry_time\",\"exit_time\",\"fee_paid\"]},\"rows\":{\"ParkingTransactions\":[[1,1001,\"2023-06-01 08:00:00\",\"2023-06-01 10:30:00\",5.00],[1,1001,\"2023-06-02 11:00:00\",\"2023-06-02 12:45:00\",3.00],[2,1001,\"2023-06-01 10:45:00\",\"2023-06-01 12:00:00\",6.00],[2,1002,\"2023-06-01 09:00:00\",\"2023-06-01 11:30:00\",4.00],[3,1001,\"2023-06-03 07:00:00\",\"2023-06-03 09:00:00\",4.00],[3,1002,\"2023-06-02 12:00:00\",\"2023-06-02 14:00:00\",2.00]]}}",
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"__typename": "QuestionNode"
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}
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}
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}

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