code: def _get_fill_value(dtype, fill_value=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 is None:
              return tslibs.iNaT
          else:
              if fill_value_typ == "+inf":
                  # need the max int here
                  return _int64_max
              else:
                  return tslibs.iNaT
  
imports: from distutils.version import LooseVersion
  import functools
  import itertools
  import operator
  import warnings
  import numpy
  from pandas._libs import iNaT, lib, tslibs
  import pandas.compat
  from pandas.core.dtypes.cast import _int64_max, maybe_upcast_putmask
  from pandas.core.dtypes.common import _get_dtype, is_any_int_dtype, is_bool_dtype, is_complex, is_complex_dtype, is_datetime64_dtype, is_datetime64tz_dtype, is_datetime_or_timedelta_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_numeric_dtype, is_object_dtype, is_scalar, is_timedelta64_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype
  from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
  import pandas.core.common
  from pandas.core.config import get_option
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, tslibs, np, unknown, _int64_max, tslibs