code: def test_pandas_na_constraint_with_pd_na():
      """Add a specific test for checking support for `pandas.NA`."""
      pd = pytest.importorskip("pandas")
  
      na_constraint = _PandasNAConstraint()
      assert na_constraint.is_satisfied_by(pd.NA)
      assert not na_constraint.is_satisfied_by(np.array([1, 2, 3]))
  
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 29 for calling a global function with example usage: test_pandas_na_constraint_with_pd_na() without return types