code: def sentence_to_vectors(sentence):
      # Create an empty array of vectors
      vects = dlib.vectors()
      for word in sentence.split():
          # Our vectors are very simple 1-dimensional vectors.  The value of the
          # single feature is 1 if the first letter of the word is capitalized and
          # 0 otherwise.
          if word[0].isupper():
              vects.append(dlib.vector([1]))
          else:
              vects.append(dlib.vector([0]))
      return vects
  
imports: import sys
  import dlib
label_desc: Use image node_id 1 for calling a global function with example usage: sentence_to_vectors(sentence) and returns: vects