code: def __getitem__(self, key):
      # dataframe
      msg = (
          "'DataFrame.iloc' only supports selecting columns. "
          "It must be used like 'df.iloc[:, column_indexer]'."
      )
      if not isinstance(key, tuple):
          raise NotImplementedError(msg)
  
      if len(key) > 2:
          raise ValueError("Too many indexers")
  
      iindexer, cindexer = key
  
      if iindexer != slice(None):
          raise NotImplementedError(msg)
  
      if not self.obj.columns.is_unique:
          # if there are any duplicate column names, do an iloc
          return self._iloc(iindexer, cindexer)
      else:
          # otherwise dispatch to dask.dataframe.core.DataFrame.__getitem__
          col_names = self.obj.columns[cindexer]
          return self.obj.__getitem__(col_names)
  
imports: from __future__ import annotations
  import bisect
  from collections import defaultdict
  from datetime import datetime
  import numpy
  import pandas
  from pandas.api.types import is_bool_dtype
  from dask.array.core import Array
  from dask.base import tokenize
  from dask.dataframe import methods
  from dask.dataframe._compat import IndexingError
  from dask.dataframe.core import Series, new_dd_object
  from dask.dataframe.utils import is_index_like, is_series_like, meta_nonempty
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import is_arraylike
label_desc: Use image node_id 2 for calling the _iLocIndexer obj's underlying member method code with example usage: obj.__getitem__(key) and returns: self, self