code: def to_numpy(
      self,
      dtype=None,
      copy: bool = False,
      na_value: object = no_default,
      decimals=None,
  ) -> np.ndarray:
      result = np.asarray(self, dtype=dtype)
      if decimals is not None:
          result = np.asarray([round(x, decimals) for x in result])
      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 6 for calling the DecimalArray obj's underlying member method code with example usage: obj.to_numpy(dtype, copy, na_value, decimals) and returns: result