code: def test_is_satisfied_by(constraint_declaration, value):
      """Sanity check for the is_satisfied_by method"""
      constraint = make_constraint(constraint_declaration)
      assert constraint.is_satisfied_by(value)
  
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 15 for calling a global function with example usage: test_is_satisfied_by(constraint_declaration, value) without return types