code: def test_kernel_svc(bin_dense_train_data):
      bin_dense, bin_target = bin_dense_train_data
      clf = KernelSVC(
          kernel="rbf", gamma=0.1, random_state=0, verbose=0
      )
      clf.fit(bin_dense, bin_target)
      np.testing.assert_almost_equal(
          clf.score(bin_dense, bin_target), 1.0
      )
      assert list(clf.classes_) == [0, 1]
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_kernel_svc(bin_dense_train_data) without return types