code: def exec(self, *args, **kwargs) -> Iterator[Batch]:
      table_catalog = self.node.table_ref.table.table_obj
      storage_engine = StorageEngine.factory(self.db, table_catalog)
  
      assert (
          table_catalog.table_type == TableType.STRUCTURED_DATA
      ), "DELETE only implemented for structured data"
  
      table_to_delete_from = (
          storage_engine._try_loading_table_via_reflection(
              table_catalog.name
          )
      )
  
      sqlalchemy_filter_clause = self.predicate_node_to_filter_clause(
          table_to_delete_from, predicate_node=self.predicate
      )
      # verify where clause and convert to sqlalchemy supported filter
      # https://stackoverflow.com/questions/34026210/where-filter-from-table-object-using-a-dictionary-or-kwargs
  
      storage_engine.delete(table_catalog, sqlalchemy_filter_clause)
      yield Batch(pd.DataFrame(["Deleted rows"]))
  
imports: from typing import Iterator
  import pandas
  from sqlalchemy import and_, or_
  from evadb.catalog.catalog_type import TableType
  from evadb.catalog.models.table_catalog import TableCatalogEntry
  from evadb.database import EvaDBDatabase
  from evadb.executor.abstract_executor import AbstractExecutor
  from evadb.expression.abstract_expression import ExpressionType
  from evadb.expression.comparison_expression import ComparisonExpression
  from evadb.expression.constant_value_expression import ConstantValueExpression
  from evadb.expression.logical_expression import LogicalExpression
  from evadb.expression.tuple_value_expression import TupleValueExpression
  from evadb.models.storage.batch import Batch
  from evadb.plan_nodes.project_plan import ProjectPlan
  from evadb.storage.storage_engine import StorageEngine
label_desc: Use image node_id 3 for calling the DeleteExecutor obj's underlying member method code with example usage: obj.exec() without return types