code: def __init__(self, filepath):
      with open(filepath, "r") as f:
          text = f.read()
  
      self.text = text
      self.characters = sorted(list(set(text)))
      self.n_characters = len(self.characters)
  
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 1 to create a new TextPreprocessing object from inherited base classes: object with example: obj = TextPreprocessing(filepath)