code: def predict_proba_test_data(self):
      data = [
          dict(
              X_train=gs.array([[0.0], [1.0], [2.0], [3.0]]),
              y_train=gs.array([0, 0, 1, 1]),
              X_test=gs.array([[0.9]]),
              expected_proba=gs.array([[2 / 3, 1 / 3]]),
          ),
      ]
  
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
label_desc: Use image node_id 2 for calling the KNearestNeighborsClassifierEuclideanTestData obj's underlying member method code with example usage: obj.predict_proba_test_data() and returns: self