leetcode-problemset/leetcode/originData/recyclable-and-low-fat-products.json

{
    "data": {
        "question": {
            "questionId": "1908",
            "questionFrontendId": "1757",
            "boundTopicId": null,
            "title": "Recyclable and Low Fat Products",
            "titleSlug": "recyclable-and-low-fat-products",
            "content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| product_id  | int     |\n| low_fats    | enum    |\n| recyclable  | enum    |\n+-------------+---------+\nproduct_id is the primary key (column with unique values) for this table.\nlow_fats is an ENUM (category) of type (&#39;Y&#39;, &#39;N&#39;) where &#39;Y&#39; means this product is low fat and &#39;N&#39; means it is not.\nrecyclable is an ENUM (category) of types (&#39;Y&#39;, &#39;N&#39;) where &#39;Y&#39; means this product is recyclable and &#39;N&#39; means it is not.</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the ids of products that are both low fat and recyclable.</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> \nProducts table:\n+-------------+----------+------------+\n| product_id  | low_fats | recyclable |\n+-------------+----------+------------+\n| 0           | Y        | N          |\n| 1           | Y        | Y          |\n| 2           | N        | Y          |\n| 3           | Y        | Y          |\n| 4           | N        | N          |\n+-------------+----------+------------+\n<strong>Output:</strong> \n+-------------+\n| product_id  |\n+-------------+\n| 1           |\n| 3           |\n+-------------+\n<strong>Explanation:</strong> Only products 1 and 3 are both low fat and recyclable.\n</pre>\n",
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 1778,
            "dislikes": 94,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"low_fats\",\"recyclable\"]},\"rows\":{\"Products\":[[\"0\",\"Y\",\"N\"],[\"1\",\"Y\",\"Y\"],[\"2\",\"N\",\"Y\"],[\"3\",\"Y\",\"Y\"],[\"4\",\"N\",\"N\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "MS SQL Server",
                    "langSlug": "mssql",
                    "code": "/* Write your T-SQL query statement below */\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Oracle",
                    "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_products(products: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
                    "code": "-- Write your PostgreSQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"651.3K\", \"totalSubmission\": \"729.1K\", \"totalAcceptedRaw\": 651285, \"totalSubmissionRaw\": 729059, \"acRate\": \"89.3%\"}",
            "hints": [],
            "solution": {
                "id": "2025",
                "canSeeDetail": true,
                "paidOnly": false,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"low_fats\",\"recyclable\"]},\"rows\":{\"Products\":[[\"0\",\"Y\",\"N\"],[\"1\",\"Y\",\"Y\"],[\"2\",\"N\",\"Y\"],[\"3\",\"Y\",\"Y\"],[\"4\",\"N\",\"N\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Products (product_id int, low_fats ENUM('Y', 'N'), recyclable ENUM('Y','N'))\"], \"mssql\": [\"Create table Products (product_id int, low_fats varchar(1) not null check(low_fats in ('Y', 'N')), recyclable varchar(1) not null check(recyclable in ('Y', 'N')))\"], \"oraclesql\": [\"Create table Products (product_id int, low_fats varchar(1) not null check(low_fats in ('Y', 'N')), recyclable varchar(1) not null check(recyclable in ('Y', 'N')))\"], \"database\": true, \"name\": \"find_products\", \"pythondata\": [\"Products = pd.DataFrame([], columns=['product_id', 'low_fats', 'recyclable']).astype({'product_id':'int64', 'low_fats':'category', 'recyclable':'category'})\"], \"postgresql\": [\"Create table If Not Exists Products (product_id int, low_fats VARCHAR(30) CHECK (low_fats IN ('Y', 'N')), recyclable VARCHAR(30) CHECK (recyclable IN ('Y','N')))\\n\"], \"database_schema\": {\"Products\": {\"product_id\": \"INT\", \"low_fats\": \"ENUM('Y', 'N')\", \"recyclable\": \"ENUM('Y', 'N')\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Products (product_id int, low_fats ENUM('Y', 'N'), recyclable ENUM('Y','N'))",
                "Truncate table Products",
                "insert into Products (product_id, low_fats, recyclable) values ('0', 'Y', 'N')",
                "insert into Products (product_id, low_fats, recyclable) values ('1', 'Y', 'Y')",
                "insert into Products (product_id, low_fats, recyclable) values ('2', 'N', 'Y')",
                "insert into Products (product_id, low_fats, recyclable) values ('3', 'Y', 'Y')",
                "insert into Products (product_id, low_fats, recyclable) values ('4', 'N', 'N')"
            ],
            "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>\"], \"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,
            "__typename": "QuestionNode"
        }
    }
}