code: def test_datetime_like_compaibility(rdata, check_datetimelike_compat):
      psr1 = pd.Series([0, 1, 2, 3], dtype="datetime64[ns]")
      psr2 = pd.Series(rdata, dtype="datetime64[ns]").astype("str")
  
      sr1 = cudf.from_pandas(psr1)
      sr2 = cudf.from_pandas(psr2)
  
      kind = None
      try:
          pd.testing.assert_series_equal(
              psr1,
              psr2,
              check_datetimelike_compat=check_datetimelike_compat,
          )
      except BaseException as e:
          kind = type(e)
  
      if kind is not None:
          with pytest.raises(kind):
              assert_series_equal(
                  sr1,
                  sr2,
                  check_datetimelike_compat=check_datetimelike_compat,
              )
      else:
          assert_series_equal(
              sr1,
              sr2,
              check_datetimelike_compat=check_datetimelike_compat,
          )
  
imports: import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf.core.column.column import as_column, full
  from cudf.testing import assert_frame_equal, assert_index_equal, assert_series_equal
  from cudf.testing._utils import NUMERIC_TYPES, OTHER_TYPES, assert_column_memory_eq, assert_column_memory_ne, assert_eq
  from cudf.testing.testing import assert_column_equal
label_desc: Use image node_id 6 for calling a global function with example usage: test_datetime_like_compaibility(rdata, check_datetimelike_compat) without return types