code: def sample(self, predictions, temperature=1.0):
      log_predictions = np.log(predictions) / temperature
      predictions = np.exp(log_predictions)
  
      predictions = predictions.astype("float64")
      normalized_predictions = predictions / np.sum(predictions)
      probabilities = np.random.multinomial(
          n=1, pvals=normalized_predictions, size=1
      )
  
      return np.argmax(probabilities)
  
file_path: neupy/examples/rnn/shakespeare_lstm.py
imports: import os
  import numpy
  from tqdm import trange
  from sklearn.model_selection import train_test_split
  from neupy import layers, algorithms
label_desc: Use image node_id 4 for calling the TextPreprocessing obj's underlying member method code with example usage: obj.sample(predictions, temperature) and returns: np