mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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存量题库数据更新
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@@ -11,7 +11,7 @@
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 6,
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"likes": 33,
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"dislikes": 4,
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"isLiked": null,
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"similarQuestions": "[]",
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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\": \"407\", \"totalSubmission\": \"445\", \"totalAcceptedRaw\": 407, \"totalSubmissionRaw\": 445, \"acRate\": \"91.5%\"}",
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"stats": "{\"totalAccepted\": \"4K\", \"totalSubmission\": \"4.8K\", \"totalAcceptedRaw\": 3981, \"totalSubmissionRaw\": 4840, \"acRate\": \"82.3%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Salesperson\":[\"salesperson_id\",\"name\"],\"Customer\":[\"customer_id\",\"salesperson_id\"],\"Sales\":[\"sale_id\",\"customer_id\",\"price\"]},\"rows\":{\"Salesperson\":[[1,\"Alice\"],[2,\"Bob\"],[3,\"Jerry\"]],\"Customer\":[[1,1],[2,1],[3,2]],\"Sales\":[[1,2,892],[2,1,354],[3,3,988],[4,3,856]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))\",\n \"Create table If Not Exists Customer (customer_id int, salesperson_id int)\",\n \"Create table If Not Exists Sales (sale_id int, customer_id int, price int)\"\n ],\n \"mssql\": [\n \"Create table Salesperson (salesperson_id int, name varchar(30))\",\n \"Create table Customer (customer_id int, salesperson_id int)\",\n \"Create table Sales (sale_id int, customer_id int, price int)\"\n ],\n \"oraclesql\": [\n \"Create table Salesperson (salesperson_id int, name varchar(30))\",\n \"Create table Customer (customer_id int, salesperson_id int)\",\n \"Create table Sales (sale_id int, customer_id int, price int)\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))\", \"Create table If Not Exists Customer (customer_id int, salesperson_id int)\", \"Create table If Not Exists Sales (sale_id int, customer_id int, price int)\"], \"mssql\": [\"Create table Salesperson (salesperson_id int, name varchar(30))\", \"Create table Customer (customer_id int, salesperson_id int)\", \"Create table Sales (sale_id int, customer_id int, price int)\"], \"oraclesql\": [\"Create table Salesperson (salesperson_id int, name varchar(30))\", \"Create table Customer (customer_id int, salesperson_id int)\", \"Create table Sales (sale_id int, customer_id int, price int)\"], \"database\": true, \"name\": \"calculate_influence\", \"pythondata\": [\"Salesperson = pd.DataFrame([], columns=['salesperson_id', 'name']).astype({'salesperson_id':'Int64', 'name':'object'})\", \"Customer = pd.DataFrame([], columns=['customer_id', 'salesperson_id']).astype({'customer_id':'Int64', 'salesperson_id':'Int64'})\", \"Sales = pd.DataFrame([], columns=['sale_id', 'customer_id', 'price']).astype({'sale_id':'Int64', 'customer_id':'Int64', 'price':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))\", \"Create table If Not Exists Customer (customer_id int, salesperson_id int)\", \"Create table If Not Exists Sales (sale_id int, customer_id int, price int)\"], \"database_schema\": {\"Salesperson\": {\"salesperson_id\": \"INT\", \"name\": \"VARCHAR(30)\"}, \"Customer\": {\"customer_id\": \"INT\", \"salesperson_id\": \"INT\"}, \"Sales\": {\"sale_id\": \"INT\", \"customer_id\": \"INT\", \"price\": \"INT\"}}}",
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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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