code: def test_sampling_strategy_class_target_unknown(
      sampling_strategy, sampling_method
  ):
      y = np.array([1] * 50 + [2] * 100 + [3] * 25)
      with pytest.raises(
          ValueError, match="are not present in the data."
      ):
          check_sampling_strategy(sampling_strategy, y, sampling_method)
  
imports: from collections import Counter, OrderedDict
  import numpy
  import pytest
  from sklearn.cluster import KMeans
  from sklearn.neighbors import NearestNeighbors
  from sklearn.neighbors._base import KNeighborsMixin
  from sklearn.utils._testing import assert_array_equal
  from imblearn.utils import check_neighbors_object, check_sampling_strategy, check_target_type
  from imblearn.utils._validation import ArraysTransformer, _deprecate_positional_args, _is_neighbors_object
  from imblearn.utils.testing import _CustomNearestNeighbors
label_desc: Use image node_id 8 for calling a global function with example usage: test_sampling_strategy_class_target_unknown(sampling_strategy, sampling_method) without return types