code: def test_stroptions():
      """Sanity check for the StrOptions constraint"""
      options = StrOptions({"a", "b", "c"}, deprecated={"c"})
      assert options.is_satisfied_by("a")
      assert options.is_satisfied_by("c")
      assert not options.is_satisfied_by("d")
  
      assert "'c' (deprecated)" in str(options)
  
imports: from numbers import Integral, Real
  import numpy
  import pytest
  from scipy.sparse import csr_matrix
  from sklearn._config import config_context, get_config
  from sklearn.base import BaseEstimator, _fit_context
  from sklearn.model_selection import LeaveOneOut
  from sklearn.utils import deprecated
  from sklearn.utils._param_validation import HasMethods, Hidden, Interval, InvalidParameterError, MissingValues, Options, RealNotInt, StrOptions, _ArrayLikes, _Booleans, _Callables, _CVObjects, _InstancesOf, _IterablesNotString, _NanConstraint, _NoneConstraint, _PandasNAConstraint, _RandomStates, _SparseMatrices, _VerboseHelper, generate_invalid_param_val, generate_valid_param, make_constraint, validate_params
label_desc: Use image node_id 7 for calling a global function with example usage: test_stroptions() without return types