code: def test_compute_tcav_score(self):
      dir_deriv_positive_class = [1]
      result = self.tcav.compute_tcav_score(dir_deriv_positive_class)
      self.assertAlmostEqual(1, result)
  
      dir_deriv_positive_class = [0]
      result = self.tcav.compute_tcav_score(dir_deriv_positive_class)
      self.assertAlmostEqual(0, result)
  
      dir_deriv_positive_class = [1, -5, 4, 6.5, -3, -2.5, 0, 2]
      result = self.tcav.compute_tcav_score(dir_deriv_positive_class)
      self.assertAlmostEqual(0.5, result)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import tcav
  import numpy
label_desc: Use image node_id 4 for calling the TCAVTest obj's underlying member method code with example usage: obj.test_compute_tcav_score() without return types