code: def textgenrnn_encode_sequence(text, vocab, maxlen):
      """
      Encodes a text into the corresponding encoding for prediction with
      the model.
      """
  
      encoded = np.array([vocab.get(x, 0) for x in text])
      return sequence.pad_sequences([encoded], maxlen=maxlen)
  
imports: import csv
  import re
  from random import shuffle
  import numpy
  from tensorflow.keras import backend
  from tensorflow.keras.callbacks import Callback
  from tensorflow.keras.models import Model
  from tensorflow.keras.preprocessing import sequence
  from tqdm import trange
label_desc: Use image node_id 3 for calling a global function with example usage: textgenrnn_encode_sequence(text, vocab, maxlen) and returns: sequence