code: def test_vectorisation_single():
      out = text_vectorisation("This is a sample thing.")
      assert isinstance(out, list), "Not an array"
      assert type(out[0]) == float, "Vector dimension not float"
  
imports: from backprop import Emotion, ImageClassification, QA, Summarisation, TextClassification, TextGeneration, TextVectorisation
  import numpy
  import torch
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: test_vectorisation_single() without return types