code: def textfile_to_semi_redundant_sequences(
      path,
      seq_maxlen=25,
      redun_step=3,
      to_lower_case=False,
      pre_defined_char_idx=None,
  ):
      """Vectorize Text file"""
      text = open(path).read()
      if to_lower_case:
          text = text.lower()
      return string_to_semi_redundant_sequences(
          text, seq_maxlen, redun_step, pre_defined_char_idx
      )
  
imports: from __future__ import division, print_function, absolute_import
  import os
  import random
  import numpy
  from PIL import Image
  import pickle
  import csv
  import warnings
  import tensorflow.compat.v1
  from io import BytesIO
label_desc: Use image node_id 4 for calling a global function with example usage: textfile_to_semi_redundant_sequences(path, seq_maxlen, redun_step, to_lower_case, pre_defined_char_idx) and returns: string_to_semi_redundant_sequences