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https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-09-04 23:11:41 +08:00
存量题库数据更新
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@@ -11,22 +11,29 @@
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Hard",
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"likes": 2,
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"dislikes": 2,
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"likes": 26,
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"dislikes": 7,
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"isLiked": null,
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"similarQuestions": "[{\"title\": \"Product's Price for Each Store\", \"titleSlug\": \"products-price-for-each-store\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
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"exampleTestcases": null,
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"exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"store\",\"price\"]},\"rows\":{\"Products\":[[1,\"Shop\",110],[1,\"LC_Store\",100],[2,\"Nozama\",200],[2,\"Souq\",190],[3,\"Shop\",1000],[3,\"Souq\",1900]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [],
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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\": \"75\", \"totalSubmission\": \"139\", \"totalAcceptedRaw\": 75, \"totalSubmissionRaw\": 139, \"acRate\": \"54.0%\"}",
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"stats": "{\"totalAccepted\": \"1.2K\", \"totalSubmission\": \"2.3K\", \"totalAcceptedRaw\": 1238, \"totalSubmissionRaw\": 2301, \"acRate\": \"53.8%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"store\",\"price\"]},\"rows\":{\"Products\":[[1,\"Shop\",110],[1,\"LC_Store\",100],[2,\"Nozama\",200],[2,\"Souq\",190],[3,\"Shop\",1000],[3,\"Souq\",1900]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Products (product_id int, store varchar(7), price int)\"\n ],\n \"mssql\": [\n \"Create table Products (product_id int, store varchar(7), price int)\"\n ],\n \"oraclesql\": [\n \"Create table Products (product_id int, store varchar(7), price int)\"\n ],\n \"database\": true,\n \"manual\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Products (product_id int, store varchar(7), price int)\"], \"mssql\": [\"Create table Products (product_id int, store varchar(7), price int)\"], \"oraclesql\": [\"Create table Products (product_id int, store varchar(7), price int)\"], \"database\": true, \"manual\": true, \"name\": \"dynamic_pivoting_table\", \"pythondata\": [\"Products = pd.DataFrame([], columns=['product_id', 'store', 'price']).astype({'product_id':'Int64', 'store':'object', 'price':'Int64'})\"], \"database_schema\": {\"Products\": {\"product_id\": \"INT\", \"store\": \"VARCHAR(7)\", \"price\": \"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -42,7 +49,7 @@
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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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