code: def _reduce(
      self,
      name: str,
      *,
      skipna: bool = True,
      keepdims: bool = False,
      **kwargs,
  ):
      if skipna and self.isna().any():
          # If we don't have any NAs, we can ignore skipna
          other = self[~self.isna()]
          result = other._reduce(name, **kwargs)
      elif name == "sum" and len(self) == 0:
          # GH#29630 avoid returning int 0 or np.bool_(False) on old numpy
          result = decimal.Decimal(0)
      else:
          try:
              op = getattr(self.data, name)
          except AttributeError as err:
              raise NotImplementedError(
                  f"decimal does not support the {name} operation"
              ) from err
          result = op(axis=0)
  
      if keepdims:
          return type(self)([result])
      else:
          return result
  
imports: from __future__ import annotations
  import decimal
  import numbers
  import sys
  from typing import TYPE_CHECKING
  import numpy
  from pandas.core.dtypes.base import ExtensionDtype
  from pandas.core.dtypes.common import is_dtype_equal, is_float, is_integer, pandas_dtype
  import pandas
  from pandas.api.extensions import no_default, register_extension_dtype
  from pandas.api.types import is_list_like, is_scalar
  from pandas.core import arraylike
  from pandas.core.algorithms import value_counts_internal
  from pandas.core.arraylike import OpsMixin
  from pandas.core.arrays import ExtensionArray, ExtensionScalarOpsMixin
  from pandas.core.indexers import check_array_indexer
label_desc: Use image node_id 20 for calling the DecimalArray obj's underlying member method code with example usage: obj._reduce(name) and returns: type, result