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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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10
leetcode/originData/[no content]grand-slam-titles.json
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@@ -11,8 +11,8 @@
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Medium",
"likes": 98,
"dislikes": 2,
"likes": 220,
"dislikes": 7,
"isLiked": null,
"similarQuestions": "[]",
"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]]}}",
@@ -28,12 +28,12 @@
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"10.4K\", \"totalSubmission\": \"11.6K\", \"totalAcceptedRaw\": 10376, \"totalSubmissionRaw\": 11630, \"acRate\": \"89.2%\"}",
"stats": "{\"totalAccepted\": \"21.7K\", \"totalSubmission\": \"25.8K\", \"totalAcceptedRaw\": 21713, \"totalSubmissionRaw\": 25751, \"acRate\": \"84.3%\"}",
"hints": [],
"solution": null,
"status": null,
"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]]}}",
"metaData": "{\n \"mysql\": [\n \"Create 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)\"\n ],\n \"mssql\": [\n \"Create table Players (player_id int, player_name varchar(20))\",\n \"Create table Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"\n ],\n \"oraclesql\": [\n \"Create table Players (player_id int, player_name varchar(20))\",\n \"Create table Championships (year int, Wimbledon int, Fr_open int, US_open int, Au_open int)\"\n ],\n \"database\": true\n}",
"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\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -51,7 +51,7 @@
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": false,
"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>\"]}",
"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>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,