mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-09-10 18:01:41 +08:00
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": "Easy",
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"likes": 20,
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"dislikes": 89,
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"likes": 35,
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"dislikes": 132,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Product\":[\"product_id\",\"name\"],\"Invoice\":[\"invoice_id\",\"product_id\",\"rest\",\"paid\",\"canceled\",\"refunded\"]},\"rows\":{\"Product\":[[0,\"ham\"],[1,\"bacon\"]],\"Invoice\":[[23,0,2,0,5,0],[12,0,0,4,0,3],[1,1,1,1,0,1],[2,1,1,0,1,1],[3,1,0,1,1,1],[4,1,1,1,1,0]]}}",
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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\": \"10.3K\", \"totalSubmission\": \"25.2K\", \"totalAcceptedRaw\": 10271, \"totalSubmissionRaw\": 25190, \"acRate\": \"40.8%\"}",
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"stats": "{\"totalAccepted\": \"15.8K\", \"totalSubmission\": \"41.5K\", \"totalAcceptedRaw\": 15769, \"totalSubmissionRaw\": 41540, \"acRate\": \"38.0%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Product\":[\"product_id\",\"name\"],\"Invoice\":[\"invoice_id\",\"product_id\",\"rest\",\"paid\",\"canceled\",\"refunded\"]},\"rows\":{\"Product\":[[0,\"ham\"],[1,\"bacon\"]],\"Invoice\":[[23,0,2,0,5,0],[12,0,0,4,0,3],[1,1,1,1,0,1],[2,1,1,0,1,1],[3,1,0,1,1,1],[4,1,1,1,1,0]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Product(product_id int, name varchar(15))\",\n \"Create table If Not Exists Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"\n ],\n \"mssql\": [\n \"Create table Product(product_id int, name varchar(15))\",\n \"Create table Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"\n ],\n \"oraclesql\": [\n \"Create table Product(product_id int, name varchar(15))\",\n \"Create table Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Product(product_id int, name varchar(15))\", \"Create table If Not Exists Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"], \"mssql\": [\"Create table Product(product_id int, name varchar(15))\", \"Create table Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"], \"oraclesql\": [\"Create table Product(product_id int, name varchar(15))\", \"Create table Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"], \"database\": true, \"name\": \"analyze_products\", \"pythondata\": [\"Product = pd.DataFrame([], columns=['product_id', 'name']).astype({'product_id':'Int64', 'name':'object'})\", \"Invoice = pd.DataFrame([], columns=['invoice_id', 'product_id', 'rest', 'paid', 'canceled', 'refunded']).astype({'invoice_id':'Int64', 'product_id':'Int64', 'rest':'Int64', 'paid':'Int64', 'canceled':'Int64', 'refunded':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Product(product_id int, name varchar(15))\", \"Create table If Not Exists Invoice(invoice_id int,product_id int,rest int, paid int, canceled int, refunded int)\"], \"database_schema\": {\"Product\": {\"product_id\": \"INT\", \"name\": \"VARCHAR(15)\"}, \"Invoice\": {\"invoice_id\": \"INT\", \"product_id\": \"INT\", \"rest\": \"INT\", \"paid\": \"INT\", \"canceled\": \"INT\", \"refunded\": \"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -53,7 +53,7 @@
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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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