code: def call(self, step):
      step_data = self.steps_data[step.dataframe.step_num]
  
      step_data2 = ResultSet()
      for col in step_data.columns:
          step_data2.add_column(col)
  
      records = step_data.get_records_raw()
  
      if isinstance(step.offset, int):
          records = records[step.offset :]
      if isinstance(step.limit, int):
          records = records[: step.limit]
  
      for record in records:
          step_data2.add_record_raw(record)
  
      return step_data2
  
imports: import pandas
  from mindsdb_sql.parser.ast import Identifier, Select, Star
  from mindsdb_sql.planner.steps import LimitOffsetStep, FilterStep, GroupByStep, DataStep
  from mindsdb_sql.planner.utils import query_traversal
  from mindsdb.api.executor.sql_query.result_set import ResultSet
  from mindsdb.api.executor.utilities.sql import query_df
  from mindsdb.api.executor.exceptions import KeyColumnDoesNotExist, NotSupportedYet
  from mindsdb.interfaces.query_context.context_controller import query_context_controller
  from .base import BaseStepCall
label_desc: Use image node_id 1 for calling the LimitOffsetStepCall obj's underlying member method code with example usage: obj.call(step) and returns: step_data2