code: def drop_table(self, name: Identifier, if_exists=False):
      drop_ast = DropTables(tables=[name], if_exists=if_exists)
      result = self.integration_handler.query(drop_ast)
      if result.type == RESPONSE_TYPE.ERROR:
          raise Exception(result.error_message)
  
imports: import numpy
  from numpy import dtype
  import pandas
  from pandas.api import types
  from sqlalchemy.types import Integer, Float, Text
  from mindsdb_sql.parser.ast import Insert, Identifier, CreateTable, TableColumn, DropTables
  from mindsdb.api.executor.datahub.datanodes.datanode import DataNode
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.api.executor.datahub.classes.tables_row import TablesRow
  from mindsdb.utilities import log
  from mindsdb.utilities.profiler import profiler
label_desc: Use image node_id 6 for calling the IntegrationDataNode obj's underlying member method code with example usage: obj.drop_table(name, if_exists) without return types