evalbench/databases/mysql.py [181:205]:
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                for table in metadata.tables.values():
                    columns = []
                    for column in table.columns:
                        columns.append({"name": column.name, "type": str(column.type)})
                    db_metadata[table.name] = columns
        except Exception:
            pass

        return db_metadata

    #####################################################
    #####################################################
    # Setup / Teardown of temporary databases
    #####################################################
    #####################################################

    def generate_ddl(
        self,
        schema: DatabaseSchema,
    ) -> list[str]:
        create_statements = []
        for table in schema.tables:
            columns = ", ".join(
                [f"{column.name} {column.type}" for column in table.columns]
            )
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evalbench/databases/sqlite.py [157:181]:
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                for table in metadata.tables.values():
                    columns = []
                    for column in table.columns:
                        columns.append({"name": column.name, "type": str(column.type)})
                    db_metadata[table.name] = columns
        except Exception:
            pass

        return db_metadata

    # #####################################################
    # #####################################################
    # # Setup / Teardown of temporary databases
    # #####################################################
    # #####################################################

    def generate_ddl(
        self,
        schema: DatabaseSchema,
    ) -> list[str]:
        create_statements = []
        for table in schema.tables:
            columns = ", ".join(
                [f"{column.name} {column.type}" for column in table.columns]
            )
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