mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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61 lines
4.9 KiB
JSON
61 lines
4.9 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1932",
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"questionFrontendId": "1783",
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"boundTopicId": null,
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"title": "Grand Slam Titles",
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"titleSlug": "grand-slam-titles",
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"content": null,
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 220,
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"dislikes": 7,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\": {\"Players\": [\"player_id\", \"player_name\"], \"Championships\": [\"year\", \"Wimbledon\", \"Fr_open\", \"US_open\", \"Au_open\"]}, \"rows\": {\"Players\": [[1, \"Nadal\"], [2, \"Federer\"], [3, \"Novak\"]], \"Championships\": [[2018, 1, 1, 1, 1], [2019, 1, 1, 2, 2], [2020, 2, 1, 2, 2]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": null,
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"21.7K\", \"totalSubmission\": \"25.8K\", \"totalAcceptedRaw\": 21720, \"totalSubmissionRaw\": 25759, \"acRate\": \"84.3%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\": {\"Players\": [\"player_id\", \"player_name\"], \"Championships\": [\"year\", \"Wimbledon\", \"Fr_open\", \"US_open\", \"Au_open\"]}, \"rows\": {\"Players\": [[1, \"Nadal\"], [2, \"Federer\"], [3, \"Novak\"]], \"Championships\": [[2018, 1, 1, 1, 1], [2019, 1, 1, 2, 2], [2020, 2, 1, 2, 2]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Players (player_id int, player_name varchar(20))\", \"Create table If Not Exists Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"], \"mssql\": [\"Create table Players (player_id int, player_name varchar(20))\", \"Create table Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"], \"oraclesql\": [\"Create table Players (player_id int, player_name varchar(20))\", \"Create table Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"], \"database\": true, \"name\": \"grand_slam_titles\", \"pythondata\": [\"Players = pd.DataFrame([], columns=['player_id', 'player_name']).astype({'player_id':'Int64', 'player_name':'object'})\", \"Championships = pd.DataFrame([], columns=['year', 'Wimbledon', 'Fr_open', 'US_open', 'Au_open']).astype({'year':'Int64', 'Wimbledon':'Int64', 'Fr_open':'Int64', 'US_open':'Int64', 'Au_open':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Players (player_id int, player_name varchar(20))\\n\", \"Create table If Not Exists Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"], \"database_schema\": {\"Players\": {\"player_id\": \"INT\", \"player_name\": \"VARCHAR(20)\"}, \"Championships\": {\"year\": \"INT\", \"Wimbledon\": \"INT\", \"Fr_open\": \"INT\", \"US_open\": \"INT\", \"Au_open\": \"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Players (player_id int, player_name varchar(20))",
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"Create table If Not Exists Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)",
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"Truncate table Players",
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"insert into Players (player_id, player_name) values ('1', 'Nadal')",
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"insert into Players (player_id, player_name) values ('2', 'Federer')",
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"insert into Players (player_id, player_name) values ('3', 'Novak')",
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"Truncate table Championships",
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"insert into Championships (year, Wimbledon, Fr_open, US_open, Au_open) values ('2018', '1', '1', '1', '1')",
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"insert into Championships (year, Wimbledon, Fr_open, US_open, Au_open) values ('2019', '1', '1', '2', '2')",
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"insert into Championships (year, Wimbledon, Fr_open, US_open, Au_open) values ('2020', '2', '1', '2', '2')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</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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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |