docstr: Test wrapping a classification result.
docstr_tok: ["Test","wrapping","a","classification","result","."]
code: def test_wrap_inference_results_classification(self):
      """Test wrapping a classification result."""
      inference_result_proto = (
          classification_pb2.ClassificationResponse()
      )
      classification = (
          inference_result_proto.result.classifications.add()
      )
      inference_class = classification.classes.add()
      inference_class.label = "class_b"
      inference_class.score = 0.3
      inference_class = classification.classes.add()
      inference_class.label = "class_a"
      inference_class.score = 0.7
  
      wrapped = inference_utils.wrap_inference_results(
          inference_result_proto
      )
      self.assertEqual(
          1, len(wrapped.classification_result.classifications)
      )
      self.assertEqual(
          2,
          len(wrapped.classification_result.classifications[0].classes),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import numpy
  import tensorflow
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import predict_pb2
  from tensorflow_serving.apis import regression_pb2
  from utils import common_utils
  from utils import inference_utils
  from utils import platform_utils
  from utils import test_utils
label_desc: Use image node_id 13 for calling the InferenceUtilsTest obj's underlying member method code with example usage: obj.test_wrap_inference_results_classification() without return types