code: def test_real_not_int():
      """Check for the RealNotInt type."""
      assert isinstance(1.0, RealNotInt)
      assert not isinstance(1, RealNotInt)
      assert isinstance(np.float64(1), RealNotInt)
      assert not isinstance(np.int64(1), RealNotInt)
  
imports: from numbers import Integral, Real
  import numpy
  import pytest
  from scipy.sparse import csr_matrix
  from sklearn.base import BaseEstimator
  from sklearn.model_selection import LeaveOneOut
  from sklearn.utils import deprecated
  from imblearn._config import config_context, get_config
  from imblearn.base import _ParamsValidationMixin
  from imblearn.utils._param_validation import HasMethods, Hidden, Interval, InvalidParameterError, MissingValues, Options, RealNotInt, StrOptions, _ArrayLikes, _Booleans, _Callables, _CVObjects, _InstancesOf, _IterablesNotString, _NoneConstraint, _PandasNAConstraint, _RandomStates, _SparseMatrices, _VerboseHelper, generate_invalid_param_val, generate_valid_param, make_constraint, validate_params
  from imblearn.utils.fixes import _fit_context
label_desc: Use image node_id 33 for calling a global function with example usage: test_real_not_int() without return types