code: def test_type_of_target_pandas_sparse():
      pd = pytest.importorskip("pandas")
  
      y = pd.arrays.SparseArray([1, np.nan, np.nan, 1, np.nan])
      msg = "y cannot be class 'SparseSeries' or 'SparseArray'"
      with pytest.raises(ValueError, match=msg):
          type_of_target(y)
  
imports: from itertools import product
  import numpy
  import pytest
  from scipy.sparse import issparse
  from sklearn import config_context, datasets
  from sklearn.model_selection import ShuffleSplit
  from sklearn.svm import SVC
  from sklearn.utils._array_api import yield_namespace_device_dtype_combinations
  from sklearn.utils._testing import _array_api_for_tests, assert_allclose, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.estimator_checks import _NotAnArray
  from sklearn.utils.fixes import COO_CONTAINERS, CSC_CONTAINERS, CSR_CONTAINERS, DOK_CONTAINERS, LIL_CONTAINERS
  from sklearn.utils.metaestimators import _safe_split
  from sklearn.utils.multiclass import _ovr_decision_function, check_classification_targets, class_distribution, is_multilabel, type_of_target, unique_labels
label_desc: Use image node_id 9 for calling a global function with example usage: test_type_of_target_pandas_sparse() without return types