{
    "data": {
        "question": {
            "questionId": "3257",
            "questionFrontendId": "3052",
            "boundTopicId": null,
            "title": "Maximize Items",
            "titleSlug": "maximize-items",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Hard",
            "likes": 1,
            "dislikes": 1,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Inventory\":[\"item_id\",\"item_type\",\"item_category\",\"square_footage\"]},\"rows\":{\"Inventory\":[[1374,\"prime_eligible\",\"Watches\",68.00],[4245,\"not_prime\",\"Art\",26.40],[5743,\"prime_eligible\",\"Software\",325.00],[8543,\"not_prime\",\"Clothing\",64.50],[2556,\"not_prime\",\"Shoes\",15.00],[2452,\"prime_eligible\",\"Scientific\",85.00],[3255,\"not_prime\",\"Furniture\",22.60],[1672,\"prime_eligible\",\"Beauty\",8.50],[4256,\"prime_eligible\",\"Furniture\",55.50],[6325,\"prime_eligible\",\"Food\",13.20]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"119\", \"totalSubmission\": \"158\", \"totalAcceptedRaw\": 119, \"totalSubmissionRaw\": 158, \"acRate\": \"75.3%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Inventory\":[\"item_id\",\"item_type\",\"item_category\",\"square_footage\"]},\"rows\":{\"Inventory\":[[1374,\"prime_eligible\",\"Watches\",68.00],[4245,\"not_prime\",\"Art\",26.40],[5743,\"prime_eligible\",\"Software\",325.00],[8543,\"not_prime\",\"Clothing\",64.50],[2556,\"not_prime\",\"Shoes\",15.00],[2452,\"prime_eligible\",\"Scientific\",85.00],[3255,\"not_prime\",\"Furniture\",22.60],[1672,\"prime_eligible\",\"Beauty\",8.50],[4256,\"prime_eligible\",\"Furniture\",55.50],[6325,\"prime_eligible\",\"Food\",13.20]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Inventory ( item_id int, item_type varchar(50), item_category varchar(50), square_footage decimal(10,2))\"], \"mssql\": [\"Create table  Inventory ( item_id int, item_type varchar(50), item_category varchar(50), square_footage decimal(10,2))\"], \"oraclesql\": [\"Create table Inventory ( item_id int, item_type varchar(50), item_category varchar(50), square_footage decimal(10,2))\"], \"database\": true, \"name\": \"maximize_items\", \"pythondata\": [\"Inventory = pd.DataFrame([], columns=['item_id', 'item_type', 'item_category', 'square_footage']).astype({'item_id':'Int64', 'item_type':'object', 'item_category':'object', 'square_footage':'Float64'})\\n\"], \"postgresql\": [\"Create table If Not Exists Inventory ( item_id int, item_type varchar(50), item_category varchar(50), square_footage decimal(10,2))\\n\"], \"database_schema\": {\"Inventory\": {\"item_id\": \"INT\", \"item_type\": \"VARCHAR(50)\", \"item_category\": \"VARCHAR(50)\", \"square_footage\": \"DECIMAL(10, 2)\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Inventory ( item_id int, item_type varchar(50), item_category varchar(50), square_footage decimal(10,2))",
                "Truncate table Inventory",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('1374', 'prime_eligible', 'Watches', '68.0')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('4245', 'not_prime', 'Art', '26.4')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('5743', 'prime_eligible', 'Software', '325.0')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('8543', 'not_prime', 'Clothing', '64.5')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('2556', 'not_prime', 'Shoes', '15.0')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('2452', 'prime_eligible', 'Scientific', '85.0')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('3255', 'not_prime', 'Furniture', '22.6')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('1672', 'prime_eligible', 'Beauty', '8.5')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('4256', 'prime_eligible', 'Furniture', '55.5')",
                "insert into Inventory (item_id, item_type, item_category, square_footage) values ('6325', 'prime_eligible', 'Food', '13.2')"
            ],
            "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"
        }
    }
}