update

leetcode-cn/originData/[no content]calculate-product-final-price.json

@@ -0,0 +1,64 @@
+{
+    "data": {
+        "question": {
+            "questionId": "3609",
+            "questionFrontendId": "3293",
+            "categoryTitle": "Database",
+            "boundTopicId": 2920566,
+            "title": "Calculate Product Final Price",
+            "titleSlug": "calculate-product-final-price",
+            "content": null,
+            "translatedTitle": "计算产品最终价格",
+            "translatedContent": null,
+            "isPaidOnly": true,
+            "difficulty": "Medium",
+            "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\": \"21\", \"totalSubmission\": \"24\", \"totalAcceptedRaw\": 21, \"totalSubmissionRaw\": 24, \"acRate\": \"87.5%\"}",
+            "hints": [],
+            "solution": null,
+            "status": null,
+            "sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"category\",\"price\"],\"Discounts\":[\"category\",\"discount\"]},\"rows\":{\"Products\":[[1,\"Electronics\",1000],[2,\"Clothing\",50],[3,\"Electronics\",1200],[4,\"Home\",500]],\"Discounts\":[[\"Electronics\",10],[\"Clothing\",20]]}}",
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+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [
+                "Create table if not exists Products (product_id int, category varchar(50), price int)",
+                "Create table if not exists Discounts(category varchar(50), discount int)",
+                "Truncate table Products",
+                "insert into Products (product_id, category, price) values ('1', 'Electronics', '1000')",
+                "insert into Products (product_id, category, price) values ('2', 'Clothing', '50')",
+                "insert into Products (product_id, category, price) values ('3', 'Electronics', '1200')",
+                "insert into Products (product_id, category, price) values ('4', 'Home', '500')",
+                "Truncate table Discounts",
+                "insert into Discounts (category, discount) values ('Electronics', '10')",
+                "insert into Discounts (category, discount) values ('Clothing', '20')"
+            ],
+            "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>\"]}",
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+            "isDailyQuestion": false,
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+            "editorType": "CKEDITOR",
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+            "style": "LEETCODE",
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+            "__typename": "QuestionNode"
+        }
+    }
+}

leetcode-cn/originData/[no content]find-candidates-for-data-scientist-position-ii.json

@@ -0,0 +1,76 @@
+{
+    "data": {
+        "question": {
+            "questionId": "3589",
+            "questionFrontendId": "3278",
+            "categoryTitle": "Database",
+            "boundTopicId": 2900887,
+            "title": "Find Candidates for Data Scientist Position II",
+            "titleSlug": "find-candidates-for-data-scientist-position-ii",
+            "content": null,
+            "translatedTitle": "寻找数据科学家职位的候选人 II",
+            "translatedContent": null,
+            "isPaidOnly": true,
+            "difficulty": "Medium",
+            "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\": \"70\", \"totalSubmission\": \"132\", \"totalAcceptedRaw\": 70, \"totalSubmissionRaw\": 132, \"acRate\": \"53.0%\"}",
+            "hints": [],
+            "solution": null,
+            "status": null,
+            "sampleTestCase": "{\"headers\":{\"Candidates\":[\"candidate_id\",\"skill\",\"proficiency\"],\"Projects\":[\"project_id\",\"skill\",\"importance\"]},\"rows\":{\"Candidates\":[[101,\"Python\",5],[101,\"Tableau\",3],[101,\"PostgreSQL\",4],[101,\"TensorFlow\",2],[102,\"Python\",4],[102,\"Tableau\",5],[102,\"PostgreSQL\",4],[102,\"R\",4],[103,\"Python\",3],[103,\"Tableau\",5],[103,\"PostgreSQL\",5],[103,\"Spark\",4]],\"Projects\":[[501,\"Python\",4],[501,\"Tableau\",3],[501,\"PostgreSQL\",5],[502,\"Python\",3],[502,\"Tableau\",4],[502,\"R\",2]]}}",
+            "metaData": "{\"mysql\":[\"Create table if not exists Candidates(candidate_id int, skill varchar(50), proficiency int)\",\"Create table if not exists Projects( project_id int, skill varchar(50), importance int)\"],\"mssql\":[\"Create table Candidates(candidate_id int, skill varchar(50), proficiency int)\",\"Create table  Projects( project_id int, skill varchar(50), importance int)\"],\"oraclesql\":[\"Create table Candidates(candidate_id number, skill varchar2(50), proficiency number)\",\"Create table Projects(project_id number, skill varchar2(50), importance number)\"],\"database\":true,\"name\":\"find_best_candidates\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS Candidates (\\n    candidate_id INT,\\n    skill VARCHAR(50),\\n    proficiency INT\\n);\\n\",\"CREATE TABLE IF NOT EXISTS Projects (\\n    project_id INT,\\n    skill VARCHAR(50),\\n    importance INT\\n);\\n\"],\"pythondata\":[\"Candidates = pd.DataFrame({\\n    'candidate_id': pd.Series(dtype='int'),\\n    'skill': pd.Series(dtype='str'),\\n    'proficiency': pd.Series(dtype='int')\\n})\",\"Projects = pd.DataFrame({\\n    'project_id': pd.Series(dtype='int'),\\n    'skill': pd.Series(dtype='str'),\\n    'importance': pd.Series(dtype='int')\\n})\"],\"database_schema\":{\"Candidates\":{\"candidate_id\":\"INT\",\"skill\":\"VARCHAR(50)\",\"proficiency\":\"INT\"},\"Projects\":{\"project_id\":\"INT\",\"skill\":\"VARCHAR(50)\",\"importance\":\"INT\"}}}",
+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [
+                "Create table if not exists Candidates(candidate_id int, skill varchar(50), proficiency int)",
+                "Create table if not exists Projects( project_id int, skill varchar(50), importance int)",
+                "Truncate table Candidates",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('101', 'Python', '5')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('101', 'Tableau', '3')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('101', 'PostgreSQL', '4')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('101', 'TensorFlow', '2')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('102', 'Python', '4')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('102', 'Tableau', '5')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('102', 'PostgreSQL', '4')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('102', 'R', '4')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('103', 'Python', '3')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('103', 'Tableau', '5')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('103', 'PostgreSQL', '5')",
+                "insert into Candidates (candidate_id, skill, proficiency) values ('103', 'Spark', '4')",
+                "Truncate table Projects",
+                "insert into Projects (project_id, skill, importance) values ('501', 'Python', '4')",
+                "insert into Projects (project_id, skill, importance) values ('501', 'Tableau', '3')",
+                "insert into Projects (project_id, skill, importance) values ('501', 'PostgreSQL', '5')",
+                "insert into Projects (project_id, skill, importance) values ('502', 'Python', '3')",
+                "insert into Projects (project_id, skill, importance) values ('502', 'Tableau', '4')",
+                "insert into Projects (project_id, skill, importance) values ('502', 'R', '2')"
+            ],
+            "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\":{\"Candidates\":[\"candidate_id\",\"skill\",\"proficiency\"],\"Projects\":[\"project_id\",\"skill\",\"importance\"]},\"rows\":{\"Candidates\":[[101,\"Python\",5],[101,\"Tableau\",3],[101,\"PostgreSQL\",4],[101,\"TensorFlow\",2],[102,\"Python\",4],[102,\"Tableau\",5],[102,\"PostgreSQL\",4],[102,\"R\",4],[103,\"Python\",3],[103,\"Tableau\",5],[103,\"PostgreSQL\",5],[103,\"Spark\",4]],\"Projects\":[[501,\"Python\",4],[501,\"Tableau\",3],[501,\"PostgreSQL\",5],[502,\"Python\",3],[502,\"Tableau\",4],[502,\"R\",2]]}}",
+            "__typename": "QuestionNode"
+        }
+    }
+}

leetcode-cn/originData/[no content]find-overlapping-shifts-ii.json

@@ -0,0 +1,62 @@
+{
+    "data": {
+        "question": {
+            "questionId": "3585",
+            "questionFrontendId": "3268",
+            "categoryTitle": "Database",
+            "boundTopicId": 2895162,
+            "title": "Find Overlapping Shifts II",
+            "titleSlug": "find-overlapping-shifts-ii",
+            "content": null,
+            "translatedTitle": "查找重叠的班次 II",
+            "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\": \"90\", \"totalSubmission\": \"127\", \"totalAcceptedRaw\": 90, \"totalSubmissionRaw\": 127, \"acRate\": \"70.9%\"}",
+            "hints": [],
+            "solution": null,
+            "status": null,
+            "sampleTestCase": "{\"headers\": {\"EmployeeShifts\":[\"employee_id\",\"start_time\",\"end_time\"]},\"rows\":{\"EmployeeShifts\":[[1,\"2023-10-01 09:00:00\",\"2023-10-01 17:00:00\"],[1,\"2023-10-01 15:00:00\",\"2023-10-01 23:00:00\"],[1,\"2023-10-01 16:00:00\",\"2023-10-02 00:00:00\"],[2,\"2023-10-01 09:00:00\",\"2023-10-01 17:00:00\"],[2,\"2023-10-01 11:00:00\",\"2023-10-01 19:00:00\"],[3,\"2023-10-01 09:00:00\",\"2023-10-01 17:00:00\"]]}}",
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+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [
+                "Create table if not exists EmployeeShifts(employee_id int, start_time datetime, end_time datetime)",
+                "Truncate table EmployeeShifts",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('1', '2023-10-01 09:00:00', '2023-10-01 17:00:00')",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('1', '2023-10-01 15:00:00', '2023-10-01 23:00:00')",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('1', '2023-10-01 16:00:00', '2023-10-02 00:00:00')",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('2', '2023-10-01 09:00:00', '2023-10-01 17:00:00')",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('2', '2023-10-01 11:00:00', '2023-10-01 19:00:00')",
+                "insert into EmployeeShifts (employee_id, start_time, end_time) values ('3', '2023-10-01 09:00:00', '2023-10-01 17:00:00')"
+            ],
+            "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>\"]}",
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+            "isDailyQuestion": false,
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+        }
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+}