Find Products with Three Consecutive Digits 
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['CREATE TABLE if not exists products  (\n    product_id INT,\n    name VARCHAR(255)\n)\n', 'Truncate table Products', "insert into Products (product_id, name) values ('1', 'ABC123XYZ')", "insert into Products (product_id, name) values ('2', 'A12B34C')", "insert into Products (product_id, name) values ('3', 'Product56789')", "insert into Products (product_id, name) values ('4', 'NoDigitsHere')", "insert into Products (product_id, name) values ('5', '789Product')", "insert into Products (product_id, name) values ('6', 'Item003Description')", "insert into Products (product_id, name) values ('7', 'Product12X34')"]
{"mysql": ["CREATE TABLE if not exists products  (\n    product_id INT,\n    name VARCHAR(255)\n)\n"], "mssql": ["CREATE TABLE products (\n    product_id INT,\n    name VARCHAR(255)\n)\n"], "oraclesql": ["CREATE TABLE products (\n    product_id NUMBER,\n    name VARCHAR2(255)\n)\n"], "postgresql": ["CREATE TABLE if not exists products  (\n    product_id INT,\n    name VARCHAR(255)\n)\n"], "database": true, "name": "find_products", "pythondata": ["Products = pd.DataFrame(columns=['product_id', 'name']).astype({'product_id': 'int', 'name': 'string'})"], "database_schema": {"products": {"product_id": "INT", "name": "VARCHAR(255)"}}}
{"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 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']