code: def test_get_interpolated_inputs(self):
      self.ig = gradient_maps.IntegratedGradients()
      result = self.ig.get_interpolated_inputs(
          np.array([[0], [1]]), np.array([[1], [0]]), 2
      )
      target = np.array([[[0], [1]], [[0.5], [0.5]], [[1], [0]]])
      np.testing.assert_almost_equal(result, target)
      np.testing.assert_almost_equal(result, target)
  
file_path: lit/lit_nlp/components/gradient_maps_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.components import gradient_maps
  from lit_nlp.lib import testing_utils
  import numpy
label_desc: Use image node_id 5 for calling the GradientMapsTest obj's underlying member method code with example usage: obj.test_get_interpolated_inputs() without return types