173a1a545954bae38e40f4fb0bde228765a9b059,keras/preprocessing/text.py,Tokenizer,texts_to_sequences_generator,#Tokenizer#Any#,252

Before Change

        
        num_words = self.num_words
        for text in texts:
            seq = text if self.char_level else text_to_word_sequence(text,
                                                                     self.filters,
                                                                     self.lower,
                                                                     self.split)
            vect = []
            for w in seq:
                i = self.word_index.get(w)
                if i is not None:

After Change

        
        num_words = self.num_words
        for text in texts:
            if self.char_level or isinstance(text, list):
                seq = text
            else:
                seq = text_to_word_sequence(text,
                                            self.filters,
                                            self.lower,
                                            self.split)
            vect = []
            for w in seq:
                i = self.word_index.get(w)
                if i is not None:

Instances