Skip to content

Commit de35811

Browse files
committed
update
1 parent 2aacdf2 commit de35811

File tree

68 files changed

+23828
-16382
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

68 files changed

+23828
-16382
lines changed

README.md

+1-1
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
# 力扣题库(完整版)
22

3-
> 最后更新日期: **2024.12.20**
3+
> 最后更新日期: **2025.01.09**
44
>
55
> 使用脚本前请务必仔细完整阅读本 `README.md` 文件
66

leetcode-cn/origin-data.json

+10,090-9,565
Large diffs are not rendered by default.

leetcode-cn/originData/[no content]design-a-3d-binary-matrix-with-efficient-layer-tracking.json

+86
Large diffs are not rendered by default.
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,61 @@
1+
{
2+
"data": {
3+
"question": {
4+
"questionId": "3746",
5+
"questionFrontendId": "3401",
6+
"categoryTitle": "Database",
7+
"boundTopicId": 3033181,
8+
"title": "Find Circular Gift Exchange Chains",
9+
"titleSlug": "find-circular-gift-exchange-chains",
10+
"content": null,
11+
"translatedTitle": null,
12+
"translatedContent": null,
13+
"isPaidOnly": true,
14+
"difficulty": "Hard",
15+
"likes": 0,
16+
"dislikes": 0,
17+
"isLiked": null,
18+
"similarQuestions": "[]",
19+
"contributors": [],
20+
"langToValidPlayground": null,
21+
"topicTags": [
22+
{
23+
"name": "Database",
24+
"slug": "database",
25+
"translatedName": "数据库",
26+
"__typename": "TopicTagNode"
27+
}
28+
],
29+
"companyTagStats": null,
30+
"codeSnippets": null,
31+
"stats": "{\"totalAccepted\": \"16\", \"totalSubmission\": \"23\", \"totalAcceptedRaw\": 16, \"totalSubmissionRaw\": 23, \"acRate\": \"69.6%\"}",
32+
"hints": [],
33+
"solution": null,
34+
"status": null,
35+
"sampleTestCase": "{\"headers\":{\"SecretSanta\":[\"giver_id\",\"receiver_id\",\"gift_value\"]},\"rows\":{\"SecretSanta\":[[1,2,20],[2,3,30],[3,1,40],[4,5,25],[5,4,35]]}}",
36+
"metaData": "{\"mysql\":[\"CREATE TABLE SecretSanta (\\n giver_id INT,\\n receiver_id INT,\\n gift_value INT\\n)\\n\"],\"mssql\":[\"CREATE TABLE SecretSanta (\\n giver_id INT,\\n receiver_id INT,\\n gift_value INT\\n)\\n\"],\"oraclesql\":[\"CREATE TABLE SecretSanta (\\n giver_id NUMBER,\\n receiver_id NUMBER,\\n gift_value NUMBER\\n)\\n\"],\"database\":true,\"name\":\"find_gift_chains\",\"pythondata\":[\"SecretSanta = pd.DataFrame(columns=[\\\"giver_id\\\", \\\"receiver_id\\\", \\\"gift_value\\\"]).astype({\\\"giver_id\\\": \\\"int\\\", \\\"receiver_id\\\": \\\"int\\\", \\\"gift_value\\\": \\\"int\\\"})\\n\"],\"postgresql\":[\"CREATE TABLE SecretSanta (\\n giver_id INT,\\n receiver_id INT,\\n gift_value INT\\n)\\n\"],\"database_schema\":{\"SecretSanta\":{\"giver_id\":\"INT\",\"receiver_id\":\"INT\",\"gift_value\":\"INT\"}}}",
37+
"judgerAvailable": true,
38+
"judgeType": "large",
39+
"mysqlSchemas": [
40+
"CREATE TABLE SecretSanta (\n giver_id INT,\n receiver_id INT,\n gift_value INT\n)\n",
41+
"Truncate table SecretSanta",
42+
"insert into SecretSanta (giver_id, receiver_id, gift_value) values ('1', '2', '20')",
43+
"insert into SecretSanta (giver_id, receiver_id, gift_value) values ('2', '3', '30')",
44+
"insert into SecretSanta (giver_id, receiver_id, gift_value) values ('3', '1', '40')",
45+
"insert into SecretSanta (giver_id, receiver_id, gift_value) values ('4', '5', '25')",
46+
"insert into SecretSanta (giver_id, receiver_id, gift_value) values ('5', '4', '35')"
47+
],
48+
"enableRunCode": true,
49+
"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 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
50+
"book": null,
51+
"isSubscribed": false,
52+
"isDailyQuestion": false,
53+
"dailyRecordStatus": null,
54+
"editorType": "CKEDITOR",
55+
"ugcQuestionId": null,
56+
"style": "LEETCODE",
57+
"exampleTestcases": "{\"headers\":{\"SecretSanta\":[\"giver_id\",\"receiver_id\",\"gift_value\"]},\"rows\":{\"SecretSanta\":[[1,2,20],[2,3,30],[3,1,40],[4,5,25],[5,4,35]]}}",
58+
"__typename": "QuestionNode"
59+
}
60+
}
61+
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,63 @@
1+
{
2+
"data": {
3+
"question": {
4+
"questionId": "3757",
5+
"questionFrontendId": "3415",
6+
"categoryTitle": "Database",
7+
"boundTopicId": 3039682,
8+
"title": "Find Products with Three Consecutive Digits ",
9+
"titleSlug": "find-products-with-three-consecutive-digits",
10+
"content": null,
11+
"translatedTitle": "查找具有三个连续数字的产品",
12+
"translatedContent": null,
13+
"isPaidOnly": true,
14+
"difficulty": "Easy",
15+
"likes": 0,
16+
"dislikes": 0,
17+
"isLiked": null,
18+
"similarQuestions": "[]",
19+
"contributors": [],
20+
"langToValidPlayground": null,
21+
"topicTags": [
22+
{
23+
"name": "Database",
24+
"slug": "database",
25+
"translatedName": "数据库",
26+
"__typename": "TopicTagNode"
27+
}
28+
],
29+
"companyTagStats": null,
30+
"codeSnippets": null,
31+
"stats": "{\"totalAccepted\": \"21\", \"totalSubmission\": \"23\", \"totalAcceptedRaw\": 21, \"totalSubmissionRaw\": 23, \"acRate\": \"91.3%\"}",
32+
"hints": [],
33+
"solution": null,
34+
"status": null,
35+
"sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"name\"]},\"rows\":{\"Products\":[[1,\"ABC123XYZ\"],[2,\"A12B34C\"],[3,\"Product56789\"],[4,\"NoDigitsHere\"],[5,\"789Product\"],[6,\"Item003Description\"],[7,\"Product12X34\"]]}}",
36+
"metaData": "{\"mysql\":[\"CREATE TABLE if not exists products (\\n product_id INT,\\n name VARCHAR(255)\\n)\\n\"],\"mssql\":[\"CREATE TABLE products (\\n product_id INT,\\n name VARCHAR(255)\\n)\\n\"],\"oraclesql\":[\"CREATE TABLE products (\\n product_id NUMBER,\\n name VARCHAR2(255)\\n)\\n\"],\"postgresql\":[\"CREATE TABLE if not exists products (\\n product_id INT,\\n name VARCHAR(255)\\n)\\n\"],\"database\":true,\"name\":\"find_products\",\"pythondata\":[\"Products = pd.DataFrame(columns=['product_id', 'name']).astype({'product_id': 'int', 'name': 'string'})\"],\"database_schema\":{\"products\":{\"product_id\":\"INT\",\"name\":\"VARCHAR(255)\"}}}",
37+
"judgerAvailable": true,
38+
"judgeType": "large",
39+
"mysqlSchemas": [
40+
"CREATE TABLE if not exists products (\n product_id INT,\n name VARCHAR(255)\n)\n",
41+
"Truncate table Products",
42+
"insert into Products (product_id, name) values ('1', 'ABC123XYZ')",
43+
"insert into Products (product_id, name) values ('2', 'A12B34C')",
44+
"insert into Products (product_id, name) values ('3', 'Product56789')",
45+
"insert into Products (product_id, name) values ('4', 'NoDigitsHere')",
46+
"insert into Products (product_id, name) values ('5', '789Product')",
47+
"insert into Products (product_id, name) values ('6', 'Item003Description')",
48+
"insert into Products (product_id, name) values ('7', 'Product12X34')"
49+
],
50+
"enableRunCode": true,
51+
"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 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
52+
"book": null,
53+
"isSubscribed": false,
54+
"isDailyQuestion": false,
55+
"dailyRecordStatus": null,
56+
"editorType": "CKEDITOR",
57+
"ugcQuestionId": null,
58+
"style": "LEETCODE",
59+
"exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"name\"]},\"rows\":{\"Products\":[[1,\"ABC123XYZ\"],[2,\"A12B34C\"],[3,\"Product56789\"],[4,\"NoDigitsHere\"],[5,\"789Product\"],[6,\"Item003Description\"],[7,\"Product12X34\"]]}}",
60+
"__typename": "QuestionNode"
61+
}
62+
}
63+
}

0 commit comments

Comments
 (0)