code: def test_simple_influence(self):
      # NOTE: We use the same data here for test and train, which is pointless in
      # real life but convenient here.
      si = InfluenceInterpreter.from_path(
          self.archive_path,
          train_data_path=self.data_path,
          recursion_depth=3,
      )
      results = si.interpret_from_file(self.data_path, k=1)
      assert len(results) == 3
      for result in results:
          assert len(result.top_k) == 1
  
file_path: allennlp/tests/interpret/simple_influence_test.py
imports: import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.data.fields import TensorField
  from allennlp.data import Instance
  from allennlp.models.model import Model
  from allennlp.data.data_loaders import SimpleDataLoader
  from allennlp.interpret import InfluenceInterpreter
  from allennlp.interpret.influence_interpreters.simple_influence import _flatten_tensors, get_hvp, get_inverse_hvp_lissa
label_desc: Use image node_id 2 for calling the TestSimpleInfluence obj's underlying member method code with example usage: obj.test_simple_influence() without return types