code: def test_timedelta_series_s_us_repr(data, dtype):
      sr = cudf.Series(data, dtype=dtype)
      psr = sr.to_pandas()
  
      expected = repr(psr).replace("timedelta64[ns]", dtype)
      actual = repr(sr)
  
      assert expected.split() == actual.split()
  
imports: import textwrap
  import cupy
  import numpy
  import pandas
  import pytest
  from hypothesis import given, settings, strategies
  import cudf
  from cudf.testing import _utils
  from cudf.utils.dtypes import np_dtypes_to_pandas_dtypes
label_desc: Use image node_id 20 for calling a global function with example usage: test_timedelta_series_s_us_repr(data, dtype) without return types