code: def test_classify_single():
      out = text_classification(classify_context, classify_labels)
      assert isinstance(out, dict), "Output is not a dict"
      assert len(out.keys()) == len(
          classify_labels
      ), "Incorrect number of labels"
      assert classify_correct == max(
          out, key=out.get
      ), "Classification is severely wrong"
  
imports: from backprop import Emotion, ImageClassification, QA, Summarisation, TextClassification, TextGeneration, TextVectorisation
  import numpy
  import torch
  import os
label_desc: Use image node_id 9 for calling a global function with example usage: test_classify_single() without return types