def test_list_scalar_device_construction_null(nesting_level):
data = [[]]
for i in range(nesting_level - 1):
data = [data]
arrow_type = pa.infer_type(data)
arrow_arr = pa.array([None], type=arrow_type)
col = cudf.Series(arrow_arr)._column
slr = get_element(col, 0)
assert slr.value is cudf.NA
def test_scalar_device_initialization(value):
column = cudf.Series([value], nan_as_null=False)._column
dev_slr = get_element(column, 0)
s = cudf.Scalar(dev_slr)
assert s._is_device_value_current
assert not s._is_host_value_current
assert s.value == value or np.isnan(s.value) and np.isnan(value)
assert s._is_device_value_current
assert s._is_host_value_current
def test_scalar_device_initialization_decimal(value):
dtype = cudf.Decimal64Dtype._from_decimal(value)
column = cudf.Series([str(value)]).astype(dtype)._column
dev_slr = get_element(column, 0)
s = cudf.Scalar(dev_slr)
assert s._is_device_value_current
assert not s._is_host_value_current
assert s.value == value
assert s._is_device_value_current
assert s._is_host_value_current
def test_list_scalar_device_construction(data):
col = cudf.Series([data])._column
slr = get_element(col, 0)
assert slr.value == data
