code: def setUp(self):
      super(SalienceClusteringTest, self).setUp()
      self.salience_mappers = {
          "Grad L2 Norm": gradient_maps.GradientNorm(),
          "Grad ⋅ Input": gradient_maps.GradientDotInput(),
          "LIME": lime_explainer.LIME(),
      }
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import dtypes
  from lit_nlp.components import gradient_maps
  from lit_nlp.components import lime_explainer
  from lit_nlp.components import salience_clustering
  from lit_nlp.lib import testing_utils
  import numpy
label_desc: Use image node_id 1 for calling the SalienceClusteringTest obj's underlying member method code with example usage: obj.setUp() without return types