message: Replace  arg with
diff: @@ -28,7 +28,7 @@ Tokenizer = text.Tokenizer
  @keras_export('keras.preprocessing.text.text_to_word_sequence')
  -def text_to_word_sequence(text,
  +def text_to_word_sequence(input_text,
  filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n',
  lower=True, split=" "):
  """Converts a text to a sequence of words (or tokens).
  @@ -36,12 +36,12 @@ def text_to_word_sequence(text,
  This function transforms a string of text into a list of words
  while ignoring `filters` which include punctuations by default.
  - >>> text = 'This is a sample sentence.'
  - >>> tf.keras.preprocessing.text.text_to_word_sequence(text)
  + >>> sample_text = 'This is a sample sentence.'
  + >>> tf.keras.preprocessing.text.text_to_word_sequence(sample_text)
  ['this', 'is', 'a', 'sample', 'sentence']
  Arguments:
  - text: Input text (string).
  + input_text: Input text (string).
  filters: list (or concatenation) of characters to filter out, such as
  punctuation. Default: `'!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\\t\\n'`,
  includes basic punctuation, tabs, and newlines.
  @@ -52,11 +52,11 @@ def text_to_word_sequence(text,
  A list of words (or tokens).
  """
  return text.text_to_word_sequence(
  - text, filters=filters, lower=lower, split=split)
  + input_text, filters=filters, lower=lower, split=split)
  @keras_export('keras.preprocessing.text.one_hot')
  -def one_hot(text, n,
  +def one_hot(input_text, n,
  filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n',
  lower=True,
  split=' '):
  @@ -66,12 +66,12 @@ def one_hot(text, n,
  list of encoded integers each corresponding to a word (or token)
  in the given input string.
  - >>> text = 'This is a sample sentence.'
  - >>> tf.keras.preprocessing.text.one_hot(text, 20)
  + >>> sample_text = 'This is a sample sentence.'
  + >>> tf.keras.preprocessing.text.one_hot(sample_text, 20)
  [4, 18, 1, 15, 17]
  Arguments:
  - text: Input text (string).
  + input_text: Input text (string).
  n: int. Size of vocabulary.
  filters: list (or concatenation) of characters to filter out, such as
  punctuation. Default: ``!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\\t\\n``,
  @@ -84,7 +84,7 @@ def one_hot(text, n,
  (unicity non-guaranteed).
  """
  return text.one_hot(
  - text, n, filters=filters, lower=lower, split=split)
  + input_text, n, filters=filters, lower=lower, split=split)
  # text.tokenizer_from_json is only available if keras_preprocessing >= 1.1.0
  