code: def test_get_column_indices_pandas_nonunique_columns_error(key):
      pd = pytest.importorskip("pandas")
      toy = np.zeros((1, 5), dtype=int)
      columns = ["col1", "col1", "col2", "col3", "col2"]
      X = pd.DataFrame(toy, columns=columns)
  
      err_msg = (
          "Selected columns, {}, are not unique in dataframe".format(
              key
          )
      )
      with pytest.raises(ValueError) as exc_info:
          _get_column_indices(X, key)
      assert str(exc_info.value) == err_msg
  
imports: import string
  import timeit
  import warnings
  from copy import copy
  from itertools import chain
  import numpy
  import pytest
  from sklearn import config_context
  from sklearn.utils import _approximate_mode, _determine_key_type, _get_column_indices, _is_polars_df, _message_with_time, _print_elapsed_time, _safe_assign, _safe_indexing, _to_object_array, check_random_state, column_or_1d, deprecated, gen_even_slices, get_chunk_n_rows, is_scalar_nan, resample, safe_mask, shuffle
  from sklearn.utils._mocking import MockDataFrame
  from sklearn.utils._testing import _convert_container, assert_allclose_dense_sparse, assert_array_equal, assert_no_warnings
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS
label_desc: Use image node_id 29 for calling a global function with example usage: test_get_column_indices_pandas_nonunique_columns_error(key) without return types