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

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            "questionId": "1908",
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            "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",
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            "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\"]]}}",
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                    "lang": "Oracle",
                    "langSlug": "oraclesql",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef find_products(products: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
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            "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\"]]}}",
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                "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')"
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