






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


SCREAMING_SNAKE_CASE__				     =			logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE__				     =			{
    '''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''',
    },
}

SCREAMING_SNAKE_CASE__				     =			{
    '''RUCAIBox/mvp''': 1024,
}






class 			_UpperCamelCase(       __lowerCamelCase		):
		__SCREAMING_SNAKE_CASE  :       Optional[Any]							=							VOCAB_FILES_NAMES
		__SCREAMING_SNAKE_CASE  :       str							=							PRETRAINED_VOCAB_FILES_MAP
		__SCREAMING_SNAKE_CASE  :       Union[str, Any]							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__SCREAMING_SNAKE_CASE  :       List[Any]							=							['''input_ids''', '''attention_mask''']
		__SCREAMING_SNAKE_CASE  :       Optional[int]							=							MvpTokenizer

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



					'''simple docstring'''



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

					__a						:  Dict									=     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
					if pre_tok_state.get('add_prefix_space'    ,       SCREAMING_SNAKE_CASE__    ) != add_prefix_space:
								__a						:  Dict									=     getattr(SCREAMING_SNAKE_CASE__    ,       pre_tok_state.pop('type'    )    )
								__a						:  Optional[Any]									=     add_prefix_space
								__a						:  Any									=     pre_tok_class(**SCREAMING_SNAKE_CASE__    )

					__a						:  Union[str, Any]									=     add_prefix_space

					# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
					__a						:  List[Any]									=     'post_processor'
					__a						:  Dict									=     getattr(self.backend_tokenizer    ,       SCREAMING_SNAKE_CASE__    ,       SCREAMING_SNAKE_CASE__    )
					if tokenizer_component_instance:
								__a						:  Tuple									=     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:
											__a						:  List[Any]									=     tuple(state['sep']    )
								if "cls" in state:
											__a						:  Tuple									=     tuple(state['cls']    )

								__a						:  List[Any]									=     False

								if state.get('add_prefix_space'    ,       SCREAMING_SNAKE_CASE__    ) != add_prefix_space:
											__a						:  str									=     add_prefix_space
											__a						:  List[str]									=     True

								if state.get('trim_offsets'    ,       SCREAMING_SNAKE_CASE__    ) != trim_offsets:
											__a						:  str									=     trim_offsets
											__a						:  Optional[int]									=     True

								if changes_to_apply:
											__a						:  Optional[Any]									=     getattr(SCREAMING_SNAKE_CASE__    ,       state.pop('type'    )    )
											__a						:  Optional[Any]									=     component_class(**SCREAMING_SNAKE_CASE__    )
											setattr(self.backend_tokenizer    ,       SCREAMING_SNAKE_CASE__    ,       SCREAMING_SNAKE_CASE__    )

		@property
		def    __lowerCAmelCase  (					self		:    Dict    ):



					'''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    __lowerCAmelCase  (					self		:    Dict    ,       SCREAMING_SNAKE_CASE__		:    Tuple    ):



					'''simple docstring'''



					__a						:  Optional[Any]									=     AddedToken(SCREAMING_SNAKE_CASE__    ,       lstrip=SCREAMING_SNAKE_CASE__    ,       rstrip=SCREAMING_SNAKE_CASE__    ) if isinstance(SCREAMING_SNAKE_CASE__    ,       SCREAMING_SNAKE_CASE__    ) else value
					__a						:  Dict									=     value

		def    __lowerCAmelCase  (					self		:    Optional[int]    ,       *SCREAMING_SNAKE_CASE__		:    Optional[int]    ,       **SCREAMING_SNAKE_CASE__		:    List[str]    ):



					'''simple docstring'''



					__a						:  Union[str, Any]									=     kwargs.get('is_split_into_words'    ,       SCREAMING_SNAKE_CASE__    )

					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(*SCREAMING_SNAKE_CASE__    ,       **SCREAMING_SNAKE_CASE__    )

		def    __lowerCAmelCase  (					self		:    int    ,       *SCREAMING_SNAKE_CASE__		:    Dict    ,       **SCREAMING_SNAKE_CASE__		:    Tuple    ):



					'''simple docstring'''



					__a						:  Dict									=     kwargs.get('is_split_into_words'    ,       SCREAMING_SNAKE_CASE__    )

					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(*SCREAMING_SNAKE_CASE__    ,       **SCREAMING_SNAKE_CASE__    )

		def    __lowerCAmelCase  (					self		:    str    ,       SCREAMING_SNAKE_CASE__		:    str    ,       SCREAMING_SNAKE_CASE__		:    Optional[str] = None    ):



					'''simple docstring'''



					__a						:  int									=     self._tokenizer.model.save(SCREAMING_SNAKE_CASE__    ,       name=SCREAMING_SNAKE_CASE__    )
					return tuple(SCREAMING_SNAKE_CASE__    )

		def    __lowerCAmelCase  (					self		:    int    ,       SCREAMING_SNAKE_CASE__		:    Any    ,       SCREAMING_SNAKE_CASE__		:    Tuple=None    ):



					'''simple docstring'''



					__a						:  int									=     [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    __lowerCAmelCase  (					self		:    Dict    ,       SCREAMING_SNAKE_CASE__		:    List[int]    ,       SCREAMING_SNAKE_CASE__		:    Optional[List[int]] = None    ):



					'''simple docstring'''



					__a						:  Tuple									=     [self.sep_token_id]
					__a						:  int									=     [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]








import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_rembert import RemBertTokenizer
else:
      a_     :    int     		=   None

a_     :    List[Any]     		=   logging.get_logger(__name__)
a_     :    List[Any]     		=   {"vocab_file": "sentencepiece.model", "tokenizer_file": "tokenizer.json"}

a_     :    Optional[int]     		=   {
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
    "tokenizer_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/tokenizer.json",
    },
}

a_     :    Union[str, Any]     		=   {
    "google/rembert": 256,
}

a_     :    List[Any]     		=   "▁"




class   UpperCamelCase			(  SCREAMING_SNAKE_CASE ):
    __UpperCamelCase    =VOCAB_FILES_NAMES
    __UpperCamelCase    =PRETRAINED_VOCAB_FILES_MAP
    __UpperCamelCase    =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCamelCase    =RemBertTokenizer

    def __init__(      self			:   int				,     snake_case__			:   Any=None				,     snake_case__			:   Optional[Any]=None				,     snake_case__			:   Optional[int]=True				,     snake_case__			:   Any=True				,     snake_case__			:   Any=False				,     snake_case__			:   Dict="[CLS]"				,     snake_case__			:   List[str]="[SEP]"				,     snake_case__			:   List[str]="<unk>"				,     snake_case__			:   Union[str, Any]="[SEP]"				,     snake_case__			:   List[Any]="<pad>"				,     snake_case__			:   Tuple="[CLS]"				,     snake_case__			:   str="[MASK]"				,     **snake_case__			:   Union[str, Any]				,     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      AddedToken(snake_case__				,     lstrip=snake_case__				,     rstrip=snake_case__     ) if isinstance(snake_case__				,     snake_case__     ) else mask_token

     super().__init__(
         snake_case__				,     tokenizer_file=snake_case__				,     do_lower_case=snake_case__				,     remove_space=snake_case__				,     keep_accents=snake_case__				,     bos_token=snake_case__				,     eos_token=snake_case__				,     unk_token=snake_case__				,     sep_token=snake_case__				,     pad_token=snake_case__				,     cls_token=snake_case__				,     mask_token=snake_case__				,     **snake_case__				,     )

     SCREAMING_SNAKE_CASE		    =      do_lower_case
     SCREAMING_SNAKE_CASE		    =      remove_space
     SCREAMING_SNAKE_CASE		    =      keep_accents
     SCREAMING_SNAKE_CASE		    =      vocab_file
     SCREAMING_SNAKE_CASE		    =      False if not self.vocab_file else True

    def UpperCamelCase      (      self			:   Tuple				,     snake_case__			:   List[int]				,     snake_case__			:   Optional[List[int]] = None     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      [self.sep_token_id]
     SCREAMING_SNAKE_CASE		    =      [self.cls_token_id]
     if token_ids_a is None:
      return cls + token_ids_a + sep
     return cls + token_ids_a + sep + token_ids_a + sep

    def UpperCamelCase      (      self			:   Tuple				,     snake_case__			:   List[int]				,     snake_case__			:   Optional[List[int]] = None				,     snake_case__			:   bool = False     ):

     """simple docstring"""






     if already_has_special_tokens:
      if token_ids_a is not None:
       raise ValueError(
           'You should not supply a second sequence if the provided sequence of '
           'ids is already formatted with special tokens for the model.'     )
      return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

     if token_ids_a is not None:
      return [1] + ([0] * len(snake_case__     )) + [1] + ([0] * len(snake_case__     )) + [1]
     return [1] + ([0] * len(snake_case__     )) + [1]

    def UpperCamelCase      (      self			:   int				,     snake_case__			:   List[int]				,     snake_case__			:   Optional[List[int]] = None     ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE		    =      [self.sep_token_id]
     SCREAMING_SNAKE_CASE		    =      [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     ) * [0] + len(token_ids_a + sep     ) * [1]




    def UpperCamelCase      (      self			:   Dict				,     snake_case__			:   str				,     snake_case__			:   Optional[str] = None     ):

     """simple docstring"""






     if not os.path.isdir(snake_case__     ):
      logger.error('Vocabulary path ({}) should be a directory'.format(snake_case__     )     )
      return
     SCREAMING_SNAKE_CASE		    =      os.path.join(
         snake_case__				,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )

     if os.path.abspath(self.vocab_file     ) != os.path.abspath(snake_case__     ):
      copyfile(self.vocab_file				,     snake_case__     )

     return (out_vocab_file,)

