code: def _example_b():
      """Returns the features for node B as a `tf.train.Example` instance."""
      example_str = """
                    features {
                      feature {
                        key: "id"
                        value: { bytes_list { value: [ "B" ] } }
                      }
                      feature {
                        key: "some_int_feature"
                        value: { int64_list { value: [ 2, 2 ] } }
                      }
                      feature {
                        key: "label"
                        value: { int64_list { value: [ 1 ] } }
                      }
                    }
                  """
      return text_format.Parse(example_str, tf.train.Example())
  
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 3 for calling a global function with example usage: _example_b() and returns: text_format