code: def test_vectorisation_batch():
      out = text_vectorisation(
          ["This is a sample thing.", "This is another sample thing."]
      )
      assert isinstance(out, list), "Not an array"
      assert len(out) == 2, "Not the right size"
      assert type(out[0][0]) == float, "Vector dimension not float"
      assert out[0] != out[1], "Two different texts have same vector"
  
imports: from backprop import Emotion, ImageClassification, QA, Summarisation, TextClassification, TextGeneration, TextVectorisation
  import numpy
  import torch
  import os
label_desc: Use image node_id 2 for calling a global function with example usage: test_vectorisation_batch() without return types