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存量题库数据更新

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小墨
2023-12-09 18:42:21 +08:00
parent a788808cd7
commit c198538f10
10843 changed files with 288489 additions and 248355 deletions
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8
leetcode-cn/originData/[no content]find-the-subtasks-that-did-not-execute.json
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@@ -12,7 +12,7 @@
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Hard",
"likes": 14,
"likes": 36,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"1.4K\", \"totalSubmission\": \"1.8K\", \"totalAcceptedRaw\": 1424, \"totalSubmissionRaw\": 1810, \"acRate\": \"78.7%\"}",
"stats": "{\"totalAccepted\": \"4.6K\", \"totalSubmission\": \"5.9K\", \"totalAcceptedRaw\": 4604, \"totalSubmissionRaw\": 5859, \"acRate\": \"78.6%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\": {\"Tasks\": [\"task_id\", \"subtasks_count\"], \"Executed\": [\"task_id\", \"subtask_id\"]}, \"rows\": {\"Tasks\": [[1, 3], [2, 2], [3, 4]], \"Executed\": [[1, 2], [3, 1], [3, 2], [3, 3], [3, 4]]}}",
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Tasks (task_id int, subtasks_count int)\",\n \"Create table If Not Exists Executed (task_id int, subtask_id int)\"\n ],\n \"mssql\": [\n \"Create table Tasks (task_id int, subtasks_count int)\",\n \"Create table Executed (task_id int, subtask_id int)\"\n ],\n \"oraclesql\": [\n \"Create table Tasks (task_id int, subtasks_count int)\",\n \"Create table Executed (task_id int, subtask_id int)\"\n ],\n \"database\": true\n}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Tasks (task_id int, subtasks_count int)\",\"Create table If Not Exists Executed (task_id int, subtask_id int)\"],\"mssql\":[\"Create table Tasks (task_id int, subtasks_count int)\",\"Create table Executed (task_id int, subtask_id int)\"],\"oraclesql\":[\"Create table Tasks (task_id int, subtasks_count int)\",\"Create table Executed (task_id int, subtask_id int)\"],\"database\":true,\"name\":\"find_subtasks\",\"pythondata\":[\"Tasks = pd.DataFrame([], columns=['task_id', 'subtasks_count']).astype({'task_id':'Int64', 'subtasks_count':'Int64'})\",\"Executed = pd.DataFrame([], columns=['task_id', 'subtask_id']).astype({'task_id':'Int64', 'subtask_id':'Int64'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Tasks (task_id int, subtasks_count int)\\n\",\"Create table If Not Exists Executed (task_id int, subtask_id int)\"],\"database_schema\":{\"Tasks\":{\"task_id\":\"INT\",\"subtasks_count\":\"INT\"},\"Executed\":{\"task_id\":\"INT\",\"subtask_id\":\"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -51,7 +51,7 @@
"insert into Executed (task_id, subtask_id) values ('3', '4')"
],
"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>\"]}",
"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,