code: def get_result(self):
      join_index, left_indexer, right_indexer = self._get_join_info()
  
      # this is a bit kludgy
      ldata, rdata = self.left._data, self.right._data
      lsuf, rsuf = self.suffixes
  
      llabels, rlabels = items_overlap_with_suffix(
          ldata.items, lsuf, rdata.items, rsuf
      )
  
      if self.fill_method == "ffill":
          left_join_indexer = libjoin.ffill_indexer(left_indexer)
          right_join_indexer = libjoin.ffill_indexer(right_indexer)
      else:
          left_join_indexer = left_indexer
          right_join_indexer = right_indexer
  
      lindexers = (
          {1: left_join_indexer}
          if left_join_indexer is not None
          else {}
      )
      rindexers = (
          {1: right_join_indexer}
          if right_join_indexer is not None
          else {}
      )
  
      result_data = concatenate_block_managers(
          [(ldata, lindexers), (rdata, rindexers)],
          axes=[llabels.append(rlabels), join_index],
          concat_axis=0,
          copy=self.copy,
      )
  
      typ = self.left._constructor
      result = typ(result_data).__finalize__(
          self, method=self._merge_type
      )
  
      self._maybe_add_join_keys(result, left_indexer, right_indexer)
  
      return result
  
imports: import copy
  import string
  import warnings
  import numpy
  from pandas._libs import hashtable, join, lib
  import pandas.compat
  from pandas.compat import filter, lzip, map, range, zip
  from pandas.errors import MergeError
  from pandas.util._decorators import Appender, Substitution
  from pandas.core.dtypes.common import ensure_float64, ensure_int64, ensure_object, is_array_like, is_bool, is_bool_dtype, is_categorical_dtype, is_datetime64_dtype, is_datetime64tz_dtype, is_datetimelike, is_dtype_equal, is_extension_array_dtype, is_float_dtype, is_int64_dtype, is_integer, is_integer_dtype, is_list_like, is_number, is_numeric_dtype, is_object_dtype, needs_i8_conversion
  from pandas.core.dtypes.missing import isnull, na_value_for_dtype
  from pandas import Categorical, DataFrame, Index, MultiIndex, Series, Timedelta
  import pandas.core.algorithms
  from pandas.core.arrays.categorical import _recode_for_categories
  import pandas.core.common
  from pandas.core.frame import _merge_doc
  from pandas.core.internals import concatenate_block_managers, items_overlap_with_suffix
  import pandas.core.sorting
  from pandas.core.sorting import is_int64_overflow_possible
label_desc: Use image node_id 2 for calling the _OrderedMerge obj's underlying member method code with example usage: obj.get_result() and returns: result