code: def _get_fill_value(
      dtype: DtypeObj,
      fill_value: Scalar | None = None,
      fill_value_typ=None,
  ):
      """return the correct fill value for the dtype of the values"""
      if fill_value is not None:
          return fill_value
      if _na_ok_dtype(dtype):
          if fill_value_typ is None:
              return np.nan
          else:
              if fill_value_typ == "+inf":
                  return np.inf
              else:
                  return -np.inf
      else:
          if fill_value_typ == "+inf":
              # need the max int here
              return lib.i8max
          else:
              return iNaT
  
imports: from __future__ import annotations
  import functools
  import itertools
  import operator
  from typing import Any, Callable, cast
  import warnings
  import numpy
  from pandas._config import get_option
  from pandas._libs import NaT, NaTType, iNaT, lib
  from pandas._typing import ArrayLike, AxisInt, CorrelationMethod, Dtype, DtypeObj, F, Scalar, Shape, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_any_int_dtype, is_bool_dtype, is_complex, is_datetime64_any_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_numeric_dtype, is_object_dtype, is_scalar, is_timedelta64_dtype, needs_i8_conversion, pandas_dtype
  from pandas.core.dtypes.dtypes import PeriodDtype
  from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
  from pandas.core.construction import extract_array
label_desc: Use image node_id 4 for calling a global function with example usage: _get_fill_value(dtype, fill_value, fill_value_typ) and returns: fill_value, np, lib, iNaT, np, unknown