    def build_offset_mapping_with_special_tokens(self,
                                                 offset_mapping_0,
                                                 offset_mapping_1=None):
        """
        Build offset map from a pair of offset map by concatenating and adding offsets of special tokens.

        A BERT offset_mapping has the following format:

        - single sequence:      ``(0,0) X (0,0)``
        - pair of sequences:        ``(0,0) A (0,0) B (0,0)``

        Args:
            offset_mapping_ids_0 (List[tuple]):
                List of wordpiece offsets to which the special tokens will be added.
            offset_mapping_ids_1 (List[tuple], optional):
                Optional second list of wordpiece offsets for offset mapping pairs. Defaults to None.

        Returns:
            List[tuple]: A list of wordpiece offsets with the appropriate offsets of special tokens.
        """
        if offset_mapping_1 is None:
            return [(0, 0)] + offset_mapping_0 + [(0, 0)]

        return [(0, 0)] + offset_mapping_0 + [(0, 0)
                                              ] + offset_mapping_1 + [(0, 0)]
Build offset map from a pair of offset map by concatenating and adding offsets of special tokens.

A BERT offset_mapping has the following format:

- single sequence:      ``(0,0) X (0,0)``
- pair of sequences:        ``(0,0) A (0,0) B (0,0)``

Args:
offset_mapping_ids_0 (List[tuple]):
List of wordpiece offsets to which the special tokens will be added.
offset_mapping_ids_1 (List[tuple], optional):
Optional second list of wordpiece offsets for offset mapping pairs. Defaults to None.

Returns:
List[tuple]: A list of wordpiece offsets with the appropriate offsets of special tokens.
ptstructure/vqa/pytorchnlp/transformers/bert/tokenizer.py