code: def test_sampling_strategy_float_error_not_in_range(
      sampling_strategy,
  ):
      y = np.array([1] * 50 + [2] * 100)
      with pytest.raises(ValueError, match="it should be in the range"):
          check_sampling_strategy(
              sampling_strategy, y, "under-sampling"
          )
  
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 10 for calling a global function with example usage: test_sampling_strategy_float_error_not_in_range(sampling_strategy) without return types