




'''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_longformer import LongformerTokenizer


lowercase	:      List[Any]				=       logging.get_logger(__name__)

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

lowercase	:      List[str]				=       {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

lowercase	:      int				=       {
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}

class   SCREAMING_SNAKE_CASE_		(       lowerCamelCase_				):
 __snake_case	:     str			   =      VOCAB_FILES_NAMES
 __snake_case	:     Tuple			   =      PRETRAINED_VOCAB_FILES_MAP
 __snake_case	:     Optional[Any]			   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __snake_case	:     List[Any]			   =      ["input_ids", "attention_mask"]
 __snake_case	:     Any			   =      LongformerTokenizer



 def __init__(  self   ,		A=None   ,		A=None   ,		A=None   ,		A="replace"   ,		A="<s>"   ,		A="</s>"   ,		A="</s>"   ,		A="<s>"   ,		A="<unk>"   ,		A="<pad>"   ,		A="<mask>"   ,		A=False   ,		A=True   ,		**A   ,		):






        '''simple docstring'''




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

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

        lowercase  :		Optional[int]						=      add_prefix_space

        lowercase  :		Any						=      '''post_processor'''
        lowercase  :		Optional[Any]						=      getattr(self.backend_tokenizer   ,		A   ,		A )
        if tokenizer_component_instance:
               lowercase  :		List[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  :		Dict						=      tuple(state['''sep'''] )
               if "cls" in state:
                      lowercase  :		Any						=      tuple(state['''cls'''] )

               lowercase  :		Optional[Any]						=      False

               if state.get('''add_prefix_space'''   ,		A ) != add_prefix_space:
                      lowercase  :		Any						=      add_prefix_space
                      lowercase  :		Dict						=      True

               if state.get('''trim_offsets'''   ,		A ) != trim_offsets:
                      lowercase  :		List[str]						=      trim_offsets
                      lowercase  :		List[Any]						=      True

               if changes_to_apply:
                      lowercase  :		Dict						=      getattr(A   ,		state.pop('''type''' ) )
                      lowercase  :		Any						=      component_class(**A )
                      setattr(self.backend_tokenizer   ,		A   ,		A )



 @property
 def    SCREAMING_SNAKE_CASE(  self ):






        '''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    SCREAMING_SNAKE_CASE(  self   ,		A ):






        '''simple docstring'''




        lowercase  :		Tuple						=      AddedToken(A   ,		lstrip=A   ,		rstrip=A ) if isinstance(A   ,		A ) else value
        lowercase  :		List[str]						=      value



 def    SCREAMING_SNAKE_CASE(  self   ,		*A   ,		**A ):






        '''simple docstring'''




        lowercase  :		int						=      kwargs.get('''is_split_into_words'''   ,		A )
        assert self.add_prefix_space or not is_split_into_words, (
            f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
            "to use it with pretokenized inputs."
        )

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



 def    SCREAMING_SNAKE_CASE(  self   ,		*A   ,		**A ):






        '''simple docstring'''




        lowercase  :		Tuple						=      kwargs.get('''is_split_into_words'''   ,		A )

        assert self.add_prefix_space or not is_split_into_words, (
            f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
            "to use it with pretokenized inputs."
        )

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



 def    SCREAMING_SNAKE_CASE(  self   ,		A   ,		A = None ):






        '''simple docstring'''




        lowercase  :		Optional[Any]						=      self._tokenizer.model.save(A   ,		name=A )
        return tuple(A )



 def    SCREAMING_SNAKE_CASE(  self   ,		A   ,		A=None ):






        '''simple docstring'''




        lowercase  :		Dict						=      [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    SCREAMING_SNAKE_CASE(  self   ,		A   ,		A = None ):






        '''simple docstring'''




        lowercase  :		List[str]						=      [self.sep_token_id]
        lowercase  :		List[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'''






import math
from timeit import timeit




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       lowercase  :		Dict						=      0
       lowercase  :		Union[str, Any]						=      abs(lowerCamelCase      )
       while True:
              lowercase  :		List[Any]						=      n // 10
              digits += 1
              if n == 0:
                     break
       return digits




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return 1 if n == 0 else math.floor(math.log(abs(lowerCamelCase      )   ,				10      ) + 1      )




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return len(str(abs(lowerCamelCase      )      )      )




def 		a_( )				->None:






       '''simple docstring'''




       from collections.abc import Callable

       def benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      ) -> None:
              lowercase  :		str						=      f"""{func.__name__}({value})"""
              lowercase  :		Optional[Any]						=      timeit(f"""__main__.{call}"""   ,				setup='''import __main__'''      )
              print(f"""{call}: {func(lowerCamelCase      )} -- {timing} seconds"""      )

       for value in (26_2144, 1125_8999_0684_2624, 126_7650_6002_2822_9401_4967_0320_5376):
              for func in (num_digits, num_digits_fast, num_digits_faster):
                     benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      )
              print()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()




