code: def test_check_classification_targets():
      for y_type in EXAMPLES.keys():
          if y_type in [
              "unknown",
              "continuous",
              "continuous-multioutput",
          ]:
              for example in EXAMPLES[y_type]:
                  msg = "Unknown label type: "
                  with pytest.raises(ValueError, match=msg):
                      check_classification_targets(example)
          else:
              for example in EXAMPLES[y_type]:
                  check_classification_targets(example)
  
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 7 for calling a global function with example usage: test_check_classification_targets() without return types