class_docstr: DEPRECATED.
code: def sequences_to_texts_generator(self, sequences):
      num_words = self.num_words
      oov_token_index = self.word_index.get(self.oov_token)
      for seq in sequences:
          vect = []
          for num in seq:
              word = self.index_word.get(num)
              if word is not None:
                  if num_words and num >= num_words:
                      if oov_token_index is not None:
                          vect.append(self.index_word[oov_token_index])
                  else:
                      vect.append(word)
              elif self.oov_token is not None:
                  vect.append(self.index_word[oov_token_index])
          vect = " ".join(vect)
          yield vect
  
imports: import collections
  import hashlib
  import json
  import warnings
  import numpy
  from keras.api_export import keras_export
label_desc: Use image node_id 7 for calling the Tokenizer obj's underlying member method code with example usage: obj.sequences_to_texts_generator(sequences) without return types