code: def text_to_word_sequence(
      input_text,
      filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n',
      lower=True,
      split=" ",
  ):
      """DEPRECATED."""
      if lower:
          input_text = input_text.lower()
  
      translate_dict = {c: split for c in filters}
      translate_map = str.maketrans(translate_dict)
      input_text = input_text.translate(translate_map)
  
      seq = input_text.split(split)
      return [i for i in seq if i]
  
imports: import collections
  import hashlib
  import json
  import warnings
  import numpy
  from keras.api_export import keras_export
label_desc: Use image node_id 1 for calling a global function with example usage: text_to_word_sequence(input_text, filters, lower, split) and returns: unknown