code: def hamiltonian_test_data(self):
      data = [
          dict(
              state=(
                  gs.array([0.0, 0.0, 1.0]),
                  gs.array([1.0, 2.0, 1.0]),
              ),
              expected=gs.array(3.0),
          )
      ]
      return self.generate_tests(data)
  
imports: import random
  import pytest
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import LevelSetTestData
  from .manifold import ManifoldTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 1 for calling the Hypersphere2ExtrinsicMetricTestData obj's underlying member method code with example usage: obj.hamiltonian_test_data() and returns: self