How to use the presidio-analyzer.analyzer.entity_recognizer.EntityRecognizer.find_index_of_match_token function in presidio-analyzer

if not nlp_artifacts.tokens:
            self.logger.info('Skipping context extraction due to '
                             'lack of NLP artifacts')
            # if there are no nlp artifacts, this is ok, we can
            # extract context and we return a valid, yet empty
            # context
            return ''

        # Get the already prepared words in the given text, in their
        # LEMMATIZED version
        lemmatized_keywords = nlp_artifacts.keywords

        # since the list of tokens is not necessarily aligned
        # with the actual index of the match, we look for the
        # token index which corresponds to the match
        token_index = EntityRecognizer.find_index_of_match_token(
            word,
            start,
            nlp_artifacts.tokens,
            nlp_artifacts.tokens_indices)

        # index i belongs to the PII entity, take the preceding n words
        # and the successing m words into a context string
        context_str = ''
        context_str = \
            self.__add_n_words_backward(token_index,
                                        EntityRecognizer.CONTEXT_PREFIX_COUNT,
                                        nlp_artifacts.lemmas,
                                        lemmatized_keywords,
                                        context_str)
        context_str = \
            self.__add_n_words_forward(token_index,