code: def test_reductions_timedelta(split_every):
      ds = pd.Series(pd.to_timedelta([2, 3, 4, np.nan, 5]))
      dds = dd.from_pandas(ds, 2)
  
      assert_eq(dds.sum(split_every=split_every), ds.sum())
      assert_eq(dds.min(split_every=split_every), ds.min())
      assert_eq(dds.max(split_every=split_every), ds.max())
      assert_eq(dds.count(split_every=split_every), ds.count())
  
imports: from __future__ import annotations
  import contextlib
  import warnings
  from datetime import datetime
  import numpy
  import pandas
  import pytest
  from pandas.api.types import is_scalar
  import dask.dataframe
  from dask.array.numpy_compat import _numpy_125
  from dask.dataframe._compat import PANDAS_GE_140, PANDAS_GE_150, PANDAS_GE_200, PANDAS_VERSION, check_numeric_only_deprecation
  from dask.dataframe.utils import assert_dask_graph, assert_eq, make_meta, pyarrow_strings_enabled
label_desc: Use image node_id 10 for calling a global function with example usage: test_reductions_timedelta(split_every) without return types