存量题库数据更新

leetcode/originData/find-customer-referee.json

@@ -6,13 +6,13 @@
             "boundTopicId": null,
             "title": "Find Customer Referee",
             "titleSlug": "find-customer-referee",
-            "content": "<p>Table: <code>Customer</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n| referee_id  | int     |\n+-------------+---------+\nid is the primary key column for this table.\nEach row of this table indicates the id of a customer, their name, and the id of the customer who referred them.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write an SQL query to report the IDs of the customer that are <strong>not referred by</strong> the customer with <code>id = 2</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nCustomer table:\n+----+------+------------+\n| id | name | referee_id |\n+----+------+------------+\n| 1  | Will | null       |\n| 2  | Jane | null       |\n| 3  | Alex | 2          |\n| 4  | Bill | null       |\n| 5  | Zack | 1          |\n| 6  | Mark | 2          |\n+----+------+------------+\n<strong>Output:</strong> \n+------+\n| name |\n+------+\n| Will |\n| Jane |\n| Bill |\n| Zack |\n+------+\n</pre>\n",
+            "content": "<p>Table: <code>Customer</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| id          | int     |\n| name        | varchar |\n| referee_id  | int     |\n+-------------+---------+\nIn SQL, id is the primary key column for this table.\nEach row of this table indicates the id of a customer, their name, and the id of the customer who referred them.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Find the names of the customer that are <strong>not referred by</strong> the customer with <code>id = 2</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nCustomer table:\n+----+------+------------+\n| id | name | referee_id |\n+----+------+------------+\n| 1  | Will | null       |\n| 2  | Jane | null       |\n| 3  | Alex | 2          |\n| 4  | Bill | null       |\n| 5  | Zack | 1          |\n| 6  | Mark | 2          |\n+----+------+------------+\n<strong>Output:</strong> \n+------+\n| name |\n+------+\n| Will |\n| Jane |\n| Bill |\n| Zack |\n+------+\n</pre>\n",
             "translatedTitle": null,
             "translatedContent": null,
             "isPaidOnly": false,
             "difficulty": "Easy",
-            "likes": 214,
-            "dislikes": 134,
+            "likes": 1690,
+            "dislikes": 330,
             "isLiked": null,
             "similarQuestions": "[]",
             "exampleTestcases": "{\"headers\":{\"Customer\":[\"id\",\"name\",\"referee_id\"]},\"rows\":{\"Customer\":[[1,\"Will\",null],[2,\"Jane\",null],[3,\"Alex\",2],[4,\"Bill\",null],[5,\"Zack\",1],[6,\"Mark\",2]]}}",
@@ -45,9 +45,21 @@
                     "langSlug": "oraclesql",
                     "code": "/* Write your PL/SQL query statement below */\n",
                     "__typename": "CodeSnippetNode"
+                },
+                {
+                    "lang": "Pandas",
+                    "langSlug": "pythondata",
+                    "code": "import pandas as pd\n\ndef find_customer_referee(customer: pd.DataFrame) -> pd.DataFrame:\n    ",
+                    "__typename": "CodeSnippetNode"
+                },
+                {
+                    "lang": "PostgreSQL",
+                    "langSlug": "postgresql",
+                    "code": "-- Write your PostgreSQL query statement below\n",
+                    "__typename": "CodeSnippetNode"
                 }
             ],
-            "stats": "{\"totalAccepted\": \"65.3K\", \"totalSubmission\": \"84.9K\", \"totalAcceptedRaw\": 65278, \"totalSubmissionRaw\": 84891, \"acRate\": \"76.9%\"}",
+            "stats": "{\"totalAccepted\": \"572.5K\", \"totalSubmission\": \"831.1K\", \"totalAcceptedRaw\": 572514, \"totalSubmissionRaw\": 831097, \"acRate\": \"68.9%\"}",
             "hints": [
                 "Be careful of the NULL value"
             ],
@@ -61,7 +73,7 @@
             },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Customer\":[\"id\",\"name\",\"referee_id\"]},\"rows\":{\"Customer\":[[1,\"Will\",null],[2,\"Jane\",null],[3,\"Alex\",2],[4,\"Bill\",null],[5,\"Zack\",1],[6,\"Mark\",2]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Customer (id int, name varchar(25), referee_id int)\"\n  ],\n  \"mssql\": [\n    \"Create table Customer (id int, name varchar(25), referee_id int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Customer (id int, name varchar(25), referee_id int)\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Customer (id int, name varchar(25), referee_id int)\"], \"mssql\": [\"Create table Customer (id int, name varchar(25), referee_id int)\"], \"oraclesql\": [\"Create table Customer (id int, name varchar(25), referee_id int)\"], \"database\": true, \"name\": \"find_customer_referee\", \"pythondata\": [\"Customer = pd.DataFrame([], columns=['id', 'name', 'referee_id']).astype({'id':'Int64', 'name':'object', 'referee_id':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Customer (id int, name varchar(25), referee_id int)\"], \"database_schema\": {\"Customer\": {\"id\": \"INT\", \"name\": \"VARCHAR(25)\", \"referee_id\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -77,7 +89,7 @@
             "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,