code: def test_getitem_integer_slice():
      df = pd.DataFrame({"A": range(6)})
      ddf = dd.from_pandas(df, 2)
      # integer slicing is iloc based
      with pytest.raises(NotImplementedError):
          ddf[1:3]
  
      df = pd.DataFrame(
          {"A": range(6)}, index=[1.0, 2.0, 3.0, 5.0, 10.0, 11.0]
      )
      ddf = dd.from_pandas(df, 2)
      # except for float dtype indexes
      ctx = contextlib.nullcontext()
      if PANDAS_GE_210:
          ctx = pytest.warns(FutureWarning, match="float-dtype index")
      with ctx:
          assert_eq(ddf[2:8], df[2:8])
      with ctx:
          assert_eq(ddf[2:], df[2:])
      with ctx:
          assert_eq(ddf[:8], df[:8])
  
imports: from __future__ import annotations
  import contextlib
  import numpy
  import pandas
  import pytest
  import dask
  import dask.dataframe
  from dask.base import tokenize
  from dask.dataframe._compat import PANDAS_GE_210, PANDAS_GE_220, IndexingError, tm
  from dask.dataframe.indexing import _coerce_loc_index
  from dask.dataframe.utils import assert_eq, make_meta, pyarrow_strings_enabled
label_desc: Use image node_id 16 for calling a global function with example usage: test_getitem_integer_slice() without return types