存量题库数据更新

leetcode/originData/actors-and-directors-who-cooperated-at-least-three-times.json

@@ -6,13 +6,13 @@
             "boundTopicId": null,
             "title": "Actors and Directors Who Cooperated At Least Three Times",
             "titleSlug": "actors-and-directors-who-cooperated-at-least-three-times",
-            "content": "<p>Table: <code>ActorDirector</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| actor_id    | int     |\n| director_id | int     |\n| timestamp   | int     |\n+-------------+---------+\ntimestamp is the primary key column for this table.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a SQL query for a report that provides the pairs <code>(actor_id, director_id)</code> where the actor has cooperated with the director at least three times.</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> \nActorDirector table:\n+-------------+-------------+-------------+\n| actor_id    | director_id | timestamp   |\n+-------------+-------------+-------------+\n| 1           | 1           | 0           |\n| 1           | 1           | 1           |\n| 1           | 1           | 2           |\n| 1           | 2           | 3           |\n| 1           | 2           | 4           |\n| 2           | 1           | 5           |\n| 2           | 1           | 6           |\n+-------------+-------------+-------------+\n<strong>Output:</strong> \n+-------------+-------------+\n| actor_id    | director_id |\n+-------------+-------------+\n| 1           | 1           |\n+-------------+-------------+\n<strong>Explanation:</strong> The only pair is (1, 1) where they cooperated exactly 3 times.\n</pre>\n",
+            "content": "<p>Table: <code>ActorDirector</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| actor_id    | int     |\n| director_id | int     |\n| timestamp   | int     |\n+-------------+---------+\ntimestamp is the primary key (column with unique values) for this table.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find all the pairs <code>(actor_id, director_id)</code> where the actor has cooperated with the director at least three times.</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> \nActorDirector table:\n+-------------+-------------+-------------+\n| actor_id    | director_id | timestamp   |\n+-------------+-------------+-------------+\n| 1           | 1           | 0           |\n| 1           | 1           | 1           |\n| 1           | 1           | 2           |\n| 1           | 2           | 3           |\n| 1           | 2           | 4           |\n| 2           | 1           | 5           |\n| 2           | 1           | 6           |\n+-------------+-------------+-------------+\n<strong>Output:</strong> \n+-------------+-------------+\n| actor_id    | director_id |\n+-------------+-------------+\n| 1           | 1           |\n+-------------+-------------+\n<strong>Explanation:</strong> The only pair is (1, 1) where they cooperated exactly 3 times.\n</pre>\n",
             "translatedTitle": null,
             "translatedContent": null,
             "isPaidOnly": false,
             "difficulty": "Easy",
-            "likes": 155,
-            "dislikes": 25,
+            "likes": 617,
+            "dislikes": 45,
             "isLiked": null,
             "similarQuestions": "[]",
             "exampleTestcases": "{\"headers\":{\"ActorDirector\":[\"actor_id\",\"director_id\",\"timestamp\"]},\"rows\":{\"ActorDirector\":[[1,1,0],[1,1,1],[1,1,2],[1,2,3],[1,2,4],[2,1,5],[2,1,6]]}}",
@@ -45,14 +45,33 @@
                     "langSlug": "oraclesql",
                     "code": "/* Write your PL/SQL query statement below */\n",
                     "__typename": "CodeSnippetNode"
+                },
+                {
+                    "lang": "Pandas",
+                    "langSlug": "pythondata",
+                    "code": "import pandas as pd\n\ndef actors_and_directors(actor_director: pd.DataFrame) -> pd.DataFrame:\n    ",
+                    "__typename": "CodeSnippetNode"
+                },
+                {
+                    "lang": "PostgreSQL",
+                    "langSlug": "postgresql",
+                    "code": "-- Write your PostgreSQL query statement below\n",
+                    "__typename": "CodeSnippetNode"
                 }
             ],
-            "stats": "{\"totalAccepted\": \"45.6K\", \"totalSubmission\": \"62.8K\", \"totalAcceptedRaw\": 45634, \"totalSubmissionRaw\": 62840, \"acRate\": \"72.6%\"}",
+            "stats": "{\"totalAccepted\": \"151.3K\", \"totalSubmission\": \"217.4K\", \"totalAcceptedRaw\": 151303, \"totalSubmissionRaw\": 217412, \"acRate\": \"69.6%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2013",
+                "canSeeDetail": false,
+                "paidOnly": true,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"ActorDirector\":[\"actor_id\",\"director_id\",\"timestamp\"]},\"rows\":{\"ActorDirector\":[[1,1,0],[1,1,1],[1,1,2],[1,2,3],[1,2,4],[2,1,5],[2,1,6]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)\"\n  ],\n  \"mssql\": [\n    \"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)\"], \"mssql\": [\"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"], \"oraclesql\": [\"Create table ActorDirector (actor_id int, director_id int, timestamp int)\"], \"database\": true, \"name\": \"actors_and_directors\", \"pythondata\": [\"ActorDirector = pd.DataFrame([], columns=['actor_id', 'director_id', 'timestamp']).astype({'actor_id':'int64', 'director_id':'int64', 'timestamp':'int64'})\"], \"manual\": false, \"postgresql\": [\"Create table If Not Exists ActorDirector (actor_id int, director_id int, timestamp int)\"], \"database_schema\": {\"ActorDirector\": {\"actor_id\": \"INT\", \"director_id\": \"INT\", \"timestamp\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -69,7 +88,7 @@
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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>\"]}",
+            "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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