code: def wrap_arithmetic_op(self, other, result):
      if result is NotImplemented:
          return NotImplemented
  
      if isinstance(result, tuple):
          # divmod, rdivmod
          assert len(result) == 2
          return (
              wrap_arithmetic_op(self, other, result[0]),
              wrap_arithmetic_op(self, other, result[1]),
          )
  
      if not isinstance(result, Index):
          # Index.__new__ will choose appropriate subclass for dtype
          result = Index(result)
  
      res_name = ops.get_op_result_name(self, other)
      result.name = res_name
      return result
  
imports: import operator
  import warnings
  import numpy
  from pandas._libs import NaT, iNaT, lib
  from pandas.compat.numpy import function
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import Appender, cache_readonly, deprecate_kwarg
  from pandas.core.dtypes.common import ensure_int64, is_dtype_equal, is_float, is_integer, is_list_like, is_period_dtype, is_scalar
  from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
  from pandas.core import algorithms, ops
  from pandas.core.accessor import PandasDelegate
  from pandas.core.arrays import ExtensionOpsMixin
  from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin, _ensure_datetimelike_to_i8
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, _index_shared_docs
  from pandas.core.tools.timedeltas import to_timedelta
  import pandas.io.formats.printing
label_desc: Use image node_id 2 for calling a global function with example usage: wrap_arithmetic_op(other, result) and returns: result, NotImplemented, wrap_arithmetic_op,  wrap_arithmetic_op