code: def test_slice_integer_frame_getitem(self, index):
      # similar to above, but on the getitem dim (of a DataFrame)
      s = DataFrame(
          np.random.default_rng(2).standard_normal((5, 2)), index=index
      )
  
      # getitem
      for idx in [slice(0.0, 1), slice(0, 1.0), slice(0.0, 1.0)]:
          result = s.loc[idx]
          indexer = slice(0, 2)
          self.check(result, s, indexer, False)
  
          # positional indexing
          msg = (
              "cannot do slice indexing "
              rf"on {type(index).__name__} with these indexers \[(0|1)\.0\] of "
              "type float"
          )
          with pytest.raises(TypeError, match=msg):
              s[idx]
  
      # getitem out-of-bounds
      for idx in [slice(-10, 10), slice(-10.0, 10.0)]:
          result = s.loc[idx]
          self.check(result, s, slice(-10, 10), True)
  
      # positional indexing
      msg = (
          "cannot do slice indexing "
          rf"on {type(index).__name__} with these indexers \[-10\.0\] of "
          "type float"
      )
      with pytest.raises(TypeError, match=msg):
          s[slice(-10.0, 10.0)]
  
      # getitem odd floats
      for idx, res in [
          (slice(0.5, 1), slice(1, 2)),
          (slice(0, 0.5), slice(0, 1)),
          (slice(0.5, 1.5), slice(1, 2)),
      ]:
          result = s.loc[idx]
          self.check(result, s, res, False)
  
          # positional indexing
          msg = (
              "cannot do slice indexing "
              rf"on {type(index).__name__} with these indexers \[0\.5\] of "
              "type float"
          )
          with pytest.raises(TypeError, match=msg):
              s[idx]
  
imports: import numpy
  import pytest
  from pandas import DataFrame, Index, RangeIndex, Series, date_range, period_range, timedelta_range
  import pandas._testing
label_desc: Use image node_id 11 for calling the TestFloatIndexers obj's underlying member method code with example usage: obj.test_slice_integer_frame_getitem(index) without return types