code: def test_rolling_count_with_offset():
      """
      This test covers the xfail case from test_rolling_with_offset["count"].
      It is expected that count should return a non-Nan value, even if
      the counted value is a Nan, unless the min-periods condition
      is not met.
      This behaviour is consistent with counts for rolling-windows,
      in the non-offset window case.
      """
      psr = pd.Series(
          [1, 2, 4, 4, np.nan, 9],
          index=[
              pd.Timestamp("20190101 09:00:00"),
              pd.Timestamp("20190101 09:00:01"),
              pd.Timestamp("20190101 09:00:02"),
              pd.Timestamp("20190101 09:00:04"),
              pd.Timestamp("20190101 09:00:07"),
              pd.Timestamp("20190101 09:00:08"),
          ],
      )
      gsr = cudf.from_pandas(psr)
      assert_eq(
          getattr(gsr.rolling("2s"), "count")().fillna(-1),
          pd.Series(
              [1, 2, 2, 1, 0, 1],
              index=[
                  pd.Timestamp("20190101 09:00:00"),
                  pd.Timestamp("20190101 09:00:01"),
                  pd.Timestamp("20190101 09:00:02"),
                  pd.Timestamp("20190101 09:00:04"),
                  pd.Timestamp("20190101 09:00:07"),
                  pd.Timestamp("20190101 09:00:08"),
              ],
          ),
          check_dtype=False,
      )
  
imports: import math
  from contextlib import contextmanager
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.core._compat import PANDAS_GE_150
  from cudf.testing._utils import _create_pandas_series_float64_default, assert_eq
  from cudf.testing.dataset_generator import rand_dataframe
label_desc: Use image node_id 7 for calling a global function with example usage: test_rolling_count_with_offset() without return types