class_docstr: ExtensionArray that is backed by a single NumPy ndarray.
class_docstr_tok: ["ExtensionArray","that","is","backed","by","a","single","NumPy","ndarray","."]
code: def __setitem__(self, key, value) -> None:
      key = check_array_indexer(self, key)
      value = self._validate_setitem_value(value)
      self._ndarray[key] = value
  
imports: from __future__ import annotations
  from functools import wraps
  from typing import TYPE_CHECKING, Any, Literal, Sequence, TypeVar, cast, overload
  import numpy
  from pandas._libs import lib
  from pandas._libs.arrays import NDArrayBacked
  from pandas._typing import ArrayLike, AxisInt, Dtype, F, PositionalIndexer2D, PositionalIndexerTuple, ScalarIndexer, SequenceIndexer, Shape, TakeIndexer, npt, type_t
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import doc
  from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs, validate_insert_loc
  from pandas.core.dtypes.common import is_dtype_equal, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, ExtensionDtype, PeriodDtype
  from pandas.core.dtypes.missing import array_equivalent
  from pandas.core import missing
  from pandas.core.algorithms import take, unique, value_counts
  from pandas.core.array_algos.quantile import quantile_with_mask
  from pandas.core.array_algos.transforms import shift
  from pandas.core.arrays.base import ExtensionArray
  from pandas.core.construction import extract_array
  from pandas.core.indexers import check_array_indexer
  from pandas.core.sorting import nargminmax
label_desc: Use image node_id 15 for calling the NDArrayBackedExtensionArray obj's underlying member method code with example usage: obj.__setitem__(key, value) without return types