code: def _get_nan_for_dtype(dtype):
      dtype = cudf.dtype(dtype)
      if pd.api.types.is_datetime64_dtype(
          dtype
      ) or pd.api.types.is_timedelta64_dtype(dtype):
          time_unit, _ = np.datetime_data(dtype)
          return dtype.type("nat", time_unit)
      elif dtype.kind == "f":
          return dtype.type("nan")
      else:
          return np.float64("nan")
  
imports: import datetime
  from collections import namedtuple
  from decimal import Decimal
  import cupy
  import numpy
  import pandas
  import pyarrow
  from pandas.core.dtypes.common import infer_dtype_from_object
  import cudf
  from cudf._typing import DtypeObj
  from cudf.api.types import is_bool, is_float, is_integer
label_desc: Use image node_id 18 for calling a global function with example usage: _get_nan_for_dtype(dtype) and returns: dtype, dtype, np