class_docstr: A pandas ExtensionArray for NumPy data.
  
  This is mostly for internal compatibility, and is not especially
  useful on its own.
  
  Parameters
  ----------
  values : ndarray
      The NumPy ndarray to wrap. Must be 1-dimensional.
  copy : bool, default False
      Whether to copy `values`.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  None
  
  Examples
  --------
  >>> pd.arrays.NumpyExtensionArray(np.array([0, 1, 2, 3]))
  <NumpyExtensionArray>
  [0, 1, 2, 3]
  Length: 4, dtype: int64
code: def to_numpy(
      self,
      dtype: npt.DTypeLike | None = None,
      copy: bool = False,
      na_value: object = lib.no_default,
  ) -> np.ndarray:
      mask = self.isna()
      if na_value is not lib.no_default and mask.any():
          result = self._ndarray.copy()
          result[mask] = na_value
      else:
          result = self._ndarray
  
      result = np.asarray(result, dtype=dtype)
  
      if copy and result is self._ndarray:
          result = result.copy()
  
      return result
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Literal
  import numpy
  from pandas._libs import lib
  from pandas._libs.tslibs import is_supported_dtype
  from pandas.compat.numpy import function
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import pandas_dtype
  from pandas.core.dtypes.dtypes import NumpyEADtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import arraylike, missing, nanops, ops
  from pandas.core.arraylike import OpsMixin
  from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.strings.object_array import ObjectStringArrayMixin
label_desc: Use image node_id 26 for calling the NumpyExtensionArray obj's underlying member method code with example usage: obj.to_numpy(dtype, copy, na_value) and returns: result