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小墨
2025-01-09 20:29:41 +08:00
parent 04ecea043d
commit 48cdd06c2b
5053 changed files with 156164 additions and 135322 deletions
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8
leetcode-cn/originData/[no content]find-overlapping-shifts-ii.json
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@@ -12,7 +12,7 @@
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Hard",
"likes": 0,
"likes": 1,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"90\", \"totalSubmission\": \"127\", \"totalAcceptedRaw\": 90, \"totalSubmissionRaw\": 127, \"acRate\": \"70.9%\"}",
"stats": "{\"totalAccepted\": \"259\", \"totalSubmission\": \"385\", \"totalAcceptedRaw\": 259, \"totalSubmissionRaw\": 385, \"acRate\": \"67.3%\"}",
"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\"]]}}",
"metaData": "{\"mysql\":[\"Create table if not exists EmployeeShifts(employee_id int, start_time datetime, end_time datetime)\"],\"mssql\":[\"Create table EmployeeShifts(employee_id int, start_time datetime, end_time datetime)\"],\"oraclesql\":[\"Create table EmployeeShifts(employee_id number, start_time date, end_time date)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"],\"database\":true,\"name\":\"calculate_shift_overlaps\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS EmployeeShifts (\\n employee_id INT,\\n start_time TIMESTAMP,\\n end_time TIMESTAMP\\n);\\n\"],\"pythondata\":[\"EmployeeShifts = pd.DataFrame({\\n 'employee_id': pd.Series(dtype='int'),\\n 'start_time': pd.Series(dtype='datetime64[ns]'),\\n 'end_time': pd.Series(dtype='datetime64[ns]')\\n})\"],\"database_schema\":{\"EmployeeShifts\":{\"employee_id\":\"INT\",\"start_time\":\"DATETIME\",\"end_time\":\"DATETIME\"}}}",
"metaData": "{\"mysql\":[\"Create table if not exists EmployeeShifts(employee_id int, start_time datetime, end_time datetime)\"],\"mssql\":[\"Create table EmployeeShifts(employee_id int, start_time datetime, end_time datetime)\"],\"oraclesql\":[\"Create table EmployeeShifts(employee_id number, start_time date, end_time date)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"],\"database\":true,\"name\":\"calculate_shift_overlaps\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS EmployeeShifts (\\n employee_id INT,\\n start_time TIMESTAMP,\\n end_time TIMESTAMP\\n);\\n\"],\"pythondata\":[\"EmployeeShifts = pd.DataFrame([], columns=['employee_id', 'start_time', 'end_time']).astype({\\n 'employee_id': 'Int64', # Nullable integer type\\n 'start_time': 'datetime64[ns]', # Datetime for start time\\n 'end_time': 'datetime64[ns]' # Datetime for end time\\n})\"],\"database_schema\":{\"EmployeeShifts\":{\"employee_id\":\"INT\",\"start_time\":\"DATETIME\",\"end_time\":\"DATETIME\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -47,7 +47,7 @@
"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>\"]}",
"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>\"]}",
"book": null,
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"isDailyQuestion": false,