code: def _handle_drop_database(self, database_name: str, if_exists: bool):
      db_catalog_entry = self.catalog().get_database_catalog_entry(
          database_name
      )
      if not db_catalog_entry:
          err_msg = f"Database {database_name} does not exist, therefore cannot be dropped."
          if if_exists:
              logger.warning(err_msg)
              return Batch(pd.DataFrame([err_msg]))
          else:
              raise RuntimeError(err_msg)
  
      logger.debug(f"Dropping database {database_name}")
  
      self.catalog().drop_database_catalog_entry(db_catalog_entry)
  
      return Batch(
          pd.DataFrame(
              {f"Database {database_name} successfully dropped"},
              index=[0],
          )
      )
  
file_path: evadb/evadb/executor/drop_object_executor.py
imports: import pandas
  from evadb.database import EvaDBDatabase
  from evadb.executor.abstract_executor import AbstractExecutor
  from evadb.executor.executor_utils import ExecutorError, handle_vector_store_params
  from evadb.models.storage.batch import Batch
  from evadb.parser.types import ObjectType
  from evadb.plan_nodes.drop_object_plan import DropObjectPlan
  from evadb.storage.storage_engine import StorageEngine
  from evadb.third_party.vector_stores.utils import VectorStoreFactory
  from evadb.utils.logging_manager import logger
label_desc: Use image node_id 6 for calling the DropObjectExecutor obj's underlying member method code with example usage: obj._handle_drop_database(database_name, if_exists) and returns: Batch, Batch