code: def _dtype_to_na_value(dtype: DtypeObj, has_none_blocks: bool):
      """
      Find the NA value to go with this dtype.
      """
      if isinstance(dtype, ExtensionDtype):
          return dtype.na_value
      elif dtype.kind in ["m", "M"]:
          return dtype.type("NaT")
      elif dtype.kind in ["f", "c"]:
          return dtype.type("NaN")
      elif dtype.kind == "b":
          # different from missing.na_value_for_dtype
          return None
      elif dtype.kind in ["i", "u"]:
          if not has_none_blocks:
              # different from missing.na_value_for_dtype
              return None
          return np.nan
      elif dtype.kind == "O":
          return np.nan
      raise NotImplementedError
  
imports: from __future__ import annotations
  import copy
  import itertools
  from typing import TYPE_CHECKING, Sequence, cast
  import numpy
  from pandas._libs import NaT, internals
  from pandas._libs.missing import NA
  from pandas._typing import ArrayLike, AxisInt, DtypeObj, Manager, Shape
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.cast import ensure_dtype_can_hold_na, find_common_type, np_find_common_type
  from pandas.core.dtypes.common import is_1d_only_ea_dtype, is_dtype_equal, is_scalar, needs_i8_conversion
  from pandas.core.dtypes.concat import concat_compat
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, ExtensionDtype
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, isna_all
  import pandas.core.algorithms
  from pandas.core.arrays import DatetimeArray, ExtensionArray
  from pandas.core.arrays.sparse import SparseDtype
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.internals.array_manager import ArrayManager, NullArrayProxy
  from pandas.core.internals.blocks import ensure_block_shape, new_block_2d
  from pandas.core.internals.managers import BlockManager
label_desc: Use image node_id 8 for calling a global function with example usage: _dtype_to_na_value(dtype, has_none_blocks) and returns: dtype, dtype, dtype, None, np, None, np