from transformers import LlamaTokenizerFast


class LlamaTokenizerWrapper(LlamaTokenizerFast):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

        self.im_start = "<|image_start|>"
        self.im_end = "<|image_end|>"
        self.ref_start = "<|ref_start>|"
        self.ref_end = "<|ref_end|>"
        self.box_start = "<|box_start|>"
        self.box_end = "<|box_end|>"
        self.quad_start = "<|quad_start>"
        self.quad_end = "<|quad_end|>"
        self.point_start = "<|point_start|>"
        self.point_end = "<|point_end|>"
        self.slice_start = "<|slice_start|>"
        self.slice_end = "<|slice_end|>"
        self.audio_start = "<|audio_start|>"
        self.audio_end = "<|audio_end|>"
        self.eos_token = "<|turn_end|>"
        self.pad_token = "<|pad|>"

    @property
    def eos_id(self):
        return self.eos_token_id

    @property
    def unk_id(self):
        return self.unk_token_id

    @property
    def im_start_id(self):
        return self.encode(self.im_start, add_special_tokens=False)[0]

    @property
    def im_end_id(self):
        return self.encode(self.im_end, add_special_tokens=False)[0]

    @property
    def slice_start_id(self):
        return self.encode(self.slice_start, add_special_tokens=False)[0]

    @property
    def slice_end_id(self):
        return self.encode(self.slice_end, add_special_tokens=False)[0]

    @property
    def audio_start_id(self):
        return self.encode(self.audio_start, add_special_tokens=False)[0]

    @property
    def audio_end_id(self):
        return self.encode(self.audio_end, add_special_tokens=False)[0]

    @property
    def eos_token_id(self):
        return self.encode(self.eos_token, add_special_tokens=False)[0]

    @property
    def pad_token_id(self):
        return self.encode(self.eos_token, add_special_tokens=False)[0]