class_docstr: Base class for IntegerArray and FloatingArray.
class_docstr_tok: ["Base","class","for","IntegerArray","and","FloatingArray","."]
code: def _coerce_to_array(
      cls, value, *, dtype: DtypeObj, copy: bool = False
  ) -> tuple[np.ndarray, np.ndarray]:
      dtype_cls = cls._dtype_cls
      default_dtype = dtype_cls._default_np_dtype
      mask = None
      values, mask, _, _ = _coerce_to_data_and_mask(
          value, mask, dtype, copy, dtype_cls, default_dtype
      )
      return values, mask
  
imports: from __future__ import annotations
  import numbers
  from typing import TYPE_CHECKING, Any, Callable, Mapping, TypeVar
  import numpy
  from pandas._libs import lib, missing
  from pandas._typing import Dtype, DtypeObj, npt
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.common import is_bool_dtype, is_float_dtype, is_integer_dtype, is_object_dtype, is_string_dtype, pandas_dtype
  from pandas.core.arrays.masked import BaseMaskedArray, BaseMaskedDtype
label_desc: Use image node_id 3 for calling the NumericArray obj's underlying member method code with example usage: obj._coerce_to_array(cls, value) and returns: values,  mask