




import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


lowerCAmelCase_					    = logging.get_logger(__name__)


lowerCAmelCase_					    = {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase_					    = {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json""",
    },
}

lowerCAmelCase_					    = {
    """RUCAIBox/mvp""": 10_24,
}






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		VOCAB_FILES_NAMES
      A__		     =		PRETRAINED_VOCAB_FILES_MAP
      A__		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A__		     =		['input_ids', 'attention_mask']
      A__		     =		MvpTokenizer

      def __init__(   self      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase="replace"      ,				__UpperCAmelCase="<s>"      ,				__UpperCAmelCase="</s>"      ,				__UpperCAmelCase="</s>"      ,				__UpperCAmelCase="<s>"      ,				__UpperCAmelCase="<unk>"      ,				__UpperCAmelCase="<pad>"      ,				__UpperCAmelCase="<mask>"      ,				__UpperCAmelCase=False      ,				__UpperCAmelCase=True      ,				**__UpperCAmelCase      ,				):
        super().__init__(
            __UpperCAmelCase      ,				__UpperCAmelCase      ,				tokenizer_file=__UpperCAmelCase      ,				errors=__UpperCAmelCase      ,				bos_token=__UpperCAmelCase      ,				eos_token=__UpperCAmelCase      ,				sep_token=__UpperCAmelCase      ,				cls_token=__UpperCAmelCase      ,				unk_token=__UpperCAmelCase      ,				pad_token=__UpperCAmelCase      ,				mask_token=__UpperCAmelCase      ,				add_prefix_space=__UpperCAmelCase      ,				trim_offsets=__UpperCAmelCase      ,				**__UpperCAmelCase      ,				)

        lowerCAmelCase__				:  Optional[int]		       =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
        if pre_tok_state.get('''add_prefix_space'''      ,				__UpperCAmelCase		) != add_prefix_space:
          lowerCAmelCase__				:  Tuple		       =     getattr(__UpperCAmelCase      ,				pre_tok_state.pop('''type'''		)		)
          lowerCAmelCase__				:  int		       =     add_prefix_space
          lowerCAmelCase__				:  List[Any]		       =     pre_tok_class(**__UpperCAmelCase		)

        lowerCAmelCase__				:  List[str]		       =     add_prefix_space

        # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
        lowerCAmelCase__				:  Union[str, Any]		       =     '''post_processor'''
        lowerCAmelCase__				:  str		       =     getattr(self.backend_tokenizer      ,				__UpperCAmelCase      ,				__UpperCAmelCase		)
        if tokenizer_component_instance:
          lowerCAmelCase__				:  List[str]		       =     json.loads(tokenizer_component_instance.__getstate__()		)

          # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
          if "sep" in state:
            lowerCAmelCase__				:  Tuple		       =     tuple(state['''sep''']		)
          if "cls" in state:
            lowerCAmelCase__				:  Optional[Any]		       =     tuple(state['''cls''']		)

          lowerCAmelCase__				:  Tuple		       =     False

          if state.get('''add_prefix_space'''      ,				__UpperCAmelCase		) != add_prefix_space:
            lowerCAmelCase__				:  Optional[Any]		       =     add_prefix_space
            lowerCAmelCase__				:  List[Any]		       =     True

          if state.get('''trim_offsets'''      ,				__UpperCAmelCase		) != trim_offsets:
            lowerCAmelCase__				:  Any		       =     trim_offsets
            lowerCAmelCase__				:  str		       =     True

          if changes_to_apply:
            lowerCAmelCase__				:  str		       =     getattr(__UpperCAmelCase      ,				state.pop('''type'''		)		)
            lowerCAmelCase__				:  Union[str, Any]		       =     component_class(**__UpperCAmelCase		)
            setattr(self.backend_tokenizer      ,				__UpperCAmelCase      ,				__UpperCAmelCase		)

      @property
      def 	__magic_name__(   self		):
        if self._mask_token is None:
          if self.verbose:
            logger.error('''Using mask_token, but it is not set yet.'''		)
          return None
        return str(self._mask_token		)

      @mask_token.setter
      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[Any]		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else value
        lowerCAmelCase__				:  Optional[Any]		       =     value

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  Union[str, Any]		       =     kwargs.get('''is_split_into_words'''      ,				__UpperCAmelCase		)

        if is_split_into_words and not self.add_prefix_space:
          raise ValueError(
              f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
              '''to use it with pretokenized inputs.'''		)

        return super()._batch_encode_plus(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  List[str]		       =     kwargs.get('''is_split_into_words'''      ,				__UpperCAmelCase		)

        if is_split_into_words and not self.add_prefix_space:
          raise ValueError(
              f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
              '''to use it with pretokenized inputs.'''		)

        return super()._encode_plus(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Any		       =     self._tokenizer.model.save(__UpperCAmelCase      ,				name=__UpperCAmelCase		)
        return tuple(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase=None		):
        lowerCAmelCase__				:  str		       =     [self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
          return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Optional[int]		       =     [self.sep_token_id]
        lowerCAmelCase__				:  Optional[Any]		       =     [self.cls_token_id]

        if token_ids_a is None:
          return len(cls + token_ids_a + sep		) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]







lowerCAmelCase_					    = 6_55_21



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	int:
  lowerCAmelCase__				:  List[str]		       =     1
  lowerCAmelCase__				:  List[Any]		       =     0
  for plain_chr in plain_text:
    lowerCAmelCase__				:  Union[str, Any]		       =     (a + ord(UpperCamelCase      )) % MOD_ADLER
    lowerCAmelCase__				:  Optional[Any]		       =     (b + a) % MOD_ADLER
  return (b << 16) | a

