code: def test_timedelta_series_mod_with_cudf_scalar_zero(reverse):
      gsr = cudf.Series(data=[0.2434], dtype=np.timedelta64(1, "ns"))
      psr = gsr.to_pandas()
      scalar = datetime.timedelta(days=768)
      gpu_scalar = cudf.Scalar(scalar)
      if reverse:
          expected = scalar % psr
          actual = gpu_scalar % gsr
      else:
          expected = psr % scalar
          actual = gsr % gpu_scalar
      assert_eq(expected, actual)
  
imports: import datetime
  import operator
  import cupy
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.testing import _utils
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
label_desc: Use image node_id 13 for calling a global function with example usage: test_timedelta_series_mod_with_cudf_scalar_zero(reverse) without return types