code: def setUp(self):
      super(PackNbrsTest, self).setUp()
      # Write graph edges (as a TSV file).
      self._graph_path = self._create_tmp_file("graph.tsv")
      graph_utils.write_tsv_graph(self._graph_path, _GRAPH)
      # Write labeled training Examples.
      self._training_examples_path = self._create_tmp_file(
          "train_data.tfr"
      )
      _write_examples(
          self._training_examples_path, [_example_a(), _example_c()]
      )
      # Write unlabeled neighbor Examples.
      self._neighbor_examples_path = self._create_tmp_file(
          "neighbor_data.tfr"
      )
      _write_examples(self._neighbor_examples_path, [_example_b()])
      # Create output file
      self._output_nsl_training_data_path = self._create_tmp_file(
          "nsl_train_data.tfr"
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import absltest
  from neural_structured_learning.tools import graph_utils
  from neural_structured_learning.tools import pack_nbrs
  import tensorflow
  from google.protobuf import text_format
label_desc: Use image node_id 1 for calling the PackNbrsTest obj's underlying member method code with example usage: obj.setUp() without return types