code: def test_safe_indexing_pandas_no_matching_cols_error():
      pd = pytest.importorskip("pandas")
      err_msg = "No valid specification of the columns."
      X = pd.DataFrame(X_toy)
      with pytest.raises(ValueError, match=err_msg):
          _safe_indexing(X, [1.0], axis=1)
  
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 23 for calling a global function with example usage: test_safe_indexing_pandas_no_matching_cols_error() without return types