code: def test_list_scalar_host_construction_null(elem_type, nesting_level):
      dtype = cudf.ListDtype(elem_type)
      for level in range(nesting_level - 1):
          dtype = cudf.ListDtype(dtype)
  
      slr = cudf.Scalar(None, dtype=dtype)
      assert slr.value is (
          cudf.NaT
          if cudf.api.types.is_datetime64_dtype(slr.dtype)
          or cudf.api.types.is_timedelta64_dtype(slr.dtype)
          else cudf.NA
      )
  
imports: import functools
  import operator
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf import NA
  from cudf._lib.copying import get_element
  from cudf.api.types import is_scalar
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 33 for calling a global function with example usage: test_list_scalar_host_construction_null(elem_type, nesting_level) without return types