





'''simple docstring'''


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 :					Optional[Any] 							=logging.get_logger(__name__)


lowerCAmelCase :					Tuple 							={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase :					List[Any] 							={
    '''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 :					List[str] 							={
    '''RUCAIBox/mvp''': 1_024,
}
class 				a_       (    _lowerCAmelCase							):
     __A								=      VOCAB_FILES_NAMES
     __A								=      PRETRAINED_VOCAB_FILES_MAP
     __A								=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A								=      ["input_ids", "attention_mask"]
     __A								=      MvpTokenizer





     def __init__(			self		: Optional[int]     ,				lowercase		: Dict=None     ,				lowercase		: int=None     ,				lowercase		: Union[str, Any]=None     ,				lowercase		: Optional[int]="replace"     ,				lowercase		: Tuple="<s>"     ,				lowercase		: Dict="</s>"     ,				lowercase		: str="</s>"     ,				lowercase		: Any="<s>"     ,				lowercase		: Any="<unk>"     ,				lowercase		: int="<pad>"     ,				lowercase		: List[str]="<mask>"     ,				lowercase		: Tuple=False     ,				lowercase		: Union[str, Any]=True     ,				**lowercase		: Optional[Any]     ,				):





        """simple docstring"""




        super().__init__(
            lowercase     ,				lowercase     ,				tokenizer_file=lowercase     ,				errors=lowercase     ,				bos_token=lowercase     ,				eos_token=lowercase     ,				sep_token=lowercase     ,				cls_token=lowercase     ,				unk_token=lowercase     ,				pad_token=lowercase     ,				mask_token=lowercase     ,				add_prefix_space=lowercase     ,				trim_offsets=lowercase     ,				**lowercase     ,				)

        lowercase_      :Union[str, Any]         =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
        if pre_tok_state.get("add_prefix_space"     ,				lowercase						) != add_prefix_space:
           lowercase_      :Optional[Any]         =			getattr(lowercase     ,				pre_tok_state.pop("type"						)						)
           lowercase_      :Optional[int]         =			add_prefix_space
           lowercase_      :Optional[int]         =			pre_tok_class(**lowercase						)

        lowercase_      :Any         =			add_prefix_space

        # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
        lowercase_      :Optional[Any]         =			"post_processor"
        lowercase_      :List[Any]         =			getattr(self.backend_tokenizer     ,				lowercase     ,				lowercase						)
        if tokenizer_component_instance:
           lowercase_      :Any         =			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:
              lowercase_      :Union[str, Any]         =			tuple(state["sep"]						)
           if "cls" in state:
              lowercase_      :Dict         =			tuple(state["cls"]						)

           lowercase_      :List[str]         =			False

           if state.get("add_prefix_space"     ,				lowercase						) != add_prefix_space:
              lowercase_      :Optional[int]         =			add_prefix_space
              lowercase_      :Union[str, Any]         =			True

           if state.get("trim_offsets"     ,				lowercase						) != trim_offsets:
              lowercase_      :Optional[int]         =			trim_offsets
              lowercase_      :Tuple         =			True

           if changes_to_apply:
              lowercase_      :int         =			getattr(lowercase     ,				state.pop("type"						)						)
              lowercase_      :List[str]         =			component_class(**lowercase						)
              setattr(self.backend_tokenizer     ,				lowercase     ,				lowercase						)





     @property
     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        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 							lowercase__				(			self		: List[str]     ,				lowercase		: Dict						):





        """simple docstring"""




        lowercase_      :Dict         =			AddedToken(lowercase     ,				lstrip=lowercase     ,				rstrip=lowercase						) if isinstance(lowercase     ,				lowercase						) else value
        lowercase_      :str         =			value





     def 							lowercase__				(			self		: Optional[Any]     ,				*lowercase		: Optional[int]     ,				**lowercase		: Any						):





        """simple docstring"""




        lowercase_      :Tuple         =			kwargs.get("is_split_into_words"     ,				lowercase						)

        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(*lowercase     ,				**lowercase						)





     def 							lowercase__				(			self		: Union[str, Any]     ,				*lowercase		: Dict     ,				**lowercase		: Optional[int]						):





        """simple docstring"""




        lowercase_      :int         =			kwargs.get("is_split_into_words"     ,				lowercase						)

        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(*lowercase     ,				**lowercase						)





     def 							lowercase__				(			self		: str     ,				lowercase		: str     ,				lowercase		: Optional[str] = None						):





        """simple docstring"""




        lowercase_      :str         =			self._tokenizer.model.save(lowercase     ,				name=lowercase						)
        return tuple(lowercase						)





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: int     ,				lowercase		: Union[str, Any]=None						):





        """simple docstring"""




        lowercase_      :Tuple         =			[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 							lowercase__				(			self		: Any     ,				lowercase		: List[int]     ,				lowercase		: Optional[List[int]] = None						):





        """simple docstring"""




        lowercase_      :Optional[int]         =			[self.sep_token_id]
        lowercase_      :Union[str, 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]









'''simple docstring'''


def 							UpperCAmelCase_  (						__lowerCamelCase : dict			):
   lowercase_      :set[int]         =			set()
   # To detect a back edge, keep track of vertices currently in the recursion stack
   lowercase_      :set[int]         =			set()
   return any(
       node not in visited and depth_first_search(__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase			)
       for node in graph			)
def 							UpperCAmelCase_  (						__lowerCamelCase : dict     ,__lowerCamelCase : int     ,__lowerCamelCase : set     ,__lowerCamelCase : set			):
   visited.add(__lowerCamelCase			)
   rec_stk.add(__lowerCamelCase			)

   for node in graph[vertex]:
      if node not in visited:
         if depth_first_search(__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase			):
            return True
      elif node in rec_stk:
         return True

    # The node needs to be removed from recursion stack before function ends
   rec_stk.remove(__lowerCamelCase			)
   return False


if __name__ == "__main__":
 from doctest import testmod

 testmod()


