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https://gitee.com/coder-xiaomo/leetcode-problemset
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存量题库数据更新
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@@ -11,8 +11,8 @@
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 145,
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"dislikes": 409,
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"likes": 197,
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"dislikes": 585,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Books\":[\"book_id\",\"name\",\"available_from\"],\"Orders\":[\"order_id\",\"book_id\",\"quantity\",\"dispatch_date\"]},\"rows\":{\"Books\":[[1,\"Kalila And Demna\",\"2010-01-01\"],[2,\"28 Letters\",\"2012-05-12\"],[3,\"The Hobbit\",\"2019-06-10\"],[4,\"13 Reasons Why\",\"2019-06-01\"],[5,\"The Hunger Games\",\"2008-09-21\"]],\"Orders\":[[1,1,2,\"2018-07-26\"],[2,1,1,\"2018-11-05\"],[3,3,8,\"2019-06-11\"],[4,4,6,\"2019-06-05\"],[5,4,5,\"2019-06-20\"],[6,5,9,\"2009-02-02\"],[7,5,8,\"2010-04-13\"]]}}",
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@@ -28,12 +28,12 @@
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"26.9K\", \"totalSubmission\": \"59.5K\", \"totalAcceptedRaw\": 26940, \"totalSubmissionRaw\": 59531, \"acRate\": \"45.3%\"}",
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"stats": "{\"totalAccepted\": \"37.4K\", \"totalSubmission\": \"86.3K\", \"totalAcceptedRaw\": 37443, \"totalSubmissionRaw\": 86315, \"acRate\": \"43.4%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Books\":[\"book_id\",\"name\",\"available_from\"],\"Orders\":[\"order_id\",\"book_id\",\"quantity\",\"dispatch_date\"]},\"rows\":{\"Books\":[[1,\"Kalila And Demna\",\"2010-01-01\"],[2,\"28 Letters\",\"2012-05-12\"],[3,\"The Hobbit\",\"2019-06-10\"],[4,\"13 Reasons Why\",\"2019-06-01\"],[5,\"The Hunger Games\",\"2008-09-21\"]],\"Orders\":[[1,1,2,\"2018-07-26\"],[2,1,1,\"2018-11-05\"],[3,3,8,\"2019-06-11\"],[4,4,6,\"2019-06-05\"],[5,4,5,\"2019-06-20\"],[6,5,9,\"2009-02-02\"],[7,5,8,\"2010-04-13\"]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Books (book_id int, name varchar(50), available_from date)\",\n \"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)\"\n ],\n \"mssql\": [\n \"Create table Books (book_id int, name varchar(50), available_from date)\",\n \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\"\n ],\n \"oraclesql\": [\n \"Create table Books (book_id int, name varchar(50), available_from date)\",\n \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Books (book_id int, name varchar(50), available_from date)\", \"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"mssql\": [\"Create table Books (book_id int, name varchar(50), available_from date)\", \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"oraclesql\": [\"Create table Books (book_id int, name varchar(50), available_from date)\", \"Create table Orders (order_id int, book_id int, quantity int, dispatch_date date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"unpopular_books\", \"pythondata\": [\"Books = pd.DataFrame([], columns=['book_id', 'name', 'available_from']).astype({'book_id':'Int64', 'name':'object', 'available_from':'datetime64[ns]'})\", \"Orders = pd.DataFrame([], columns=['order_id', 'book_id', 'quantity', 'dispatch_date']).astype({'order_id':'Int64', 'book_id':'Int64', 'quantity':'Int64', 'dispatch_date':'datetime64[ns]'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Books (book_id int, name varchar(50), available_from date)\\n\", \"Create table If Not Exists Orders (order_id int, book_id int, quantity int, dispatch_date date)\"], \"database_schema\": {\"Books\": {\"book_id\": \"INT\", \"name\": \"VARCHAR(50)\", \"available_from\": \"DATE\"}, \"Orders\": {\"order_id\": \"INT\", \"book_id\": \"INT\", \"quantity\": \"INT\", \"dispatch_date\": \"DATE\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -57,7 +57,7 @@
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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>\"]}",
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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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