






"""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_bart import BartTokenizer


_UpperCamelCase       :					int									=		logging.get_logger(__name__)


_UpperCamelCase       :					Optional[int]									=		{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all BART models at https://huggingface.co/models?filter=bart
_UpperCamelCase       :					List[str]									=		{
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json',
    },
}

_UpperCamelCase       :					List[str]									=		{
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}






class 		snake_case						(						UpperCAmelCase ):
    __magic_name__					  =  VOCAB_FILES_NAMES
    __magic_name__					  =  PRETRAINED_VOCAB_FILES_MAP
    __magic_name__					  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __magic_name__					  =  ['''input_ids''', '''attention_mask''']
    __magic_name__					  =  BartTokenizer





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


      '''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       ,	)

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

      a  :    Tuple       =     add_prefix_space

      # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
      a  :    Optional[int]       =     'post_processor'
      a  :    Optional[int]       =     getattr(self.backend_tokenizer       ,	A       ,	A    )
      if tokenizer_component_instance:
        a  :    Optional[int]       =     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  :    Optional[int]       =     tuple(state['cls']    )

        a  :    Any       =     False

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

        if state.get('trim_offsets'       ,	A    ) != trim_offsets:
          a  :    Dict       =     trim_offsets
          a  :    Tuple       =     True

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





    @property
    def        lowerCamelCase__   (							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        lowerCamelCase__   (							self			:      Optional[Any]       ,	A			:      Tuple    ):


      '''simple docstring'''




      a  :    List[str]       =     AddedToken(A       ,	lstrip=A       ,	rstrip=A    ) if isinstance(A       ,	A    ) else value
      a  :    Optional[int]       =     value





    def        lowerCamelCase__   (							self			:      List[str]       ,	*A			:      List[Any]       ,	**A			:      Optional[Any]    ):


      '''simple docstring'''




      a  :    Dict       =     kwargs.get('is_split_into_words'       ,	A    )

      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(*A       ,	**A    )





    def        lowerCamelCase__   (							self			:      str       ,	*A			:      int       ,	**A			:      Dict    ):


      '''simple docstring'''




      a  :    List[Any]       =     kwargs.get('is_split_into_words'       ,	A    )

      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(*A       ,	**A    )





    def        lowerCamelCase__   (							self			:      List[Any]       ,	A			:      str       ,	A			:      Optional[str] = None    ):


      '''simple docstring'''




      a  :    Any       =     self._tokenizer.model.save(A       ,	name=A    )
      return tuple(A    )





    def        lowerCamelCase__   (							self			:      List[str]       ,	A			:      str       ,	A			:      Optional[Any]=None    ):


      '''simple docstring'''




      a  :    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        lowerCamelCase__   (							self			:      int       ,	A			:      List[int]       ,	A			:      Optional[List[int]] = None    ):


      '''simple docstring'''




      a  :    Optional[Any]       =     [self.sep_token_id]
      a  :    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"""


from collections import defaultdict
from math import ceil, sqrt




def     snake_case						(A_   :int = 1_0_0_0_0_0_0			,    A_   :int = 1_0   ):







  '''simple docstring'''

  a  :    defaultdict       =     defaultdict(A_   )

  for outer_width in range(3			,    (t_limit // 4) + 2   ):
    if outer_width * outer_width > t_limit:
      a  :    Optional[Any]       =     max(
          ceil(sqrt(outer_width * outer_width - t_limit   )   )			,    1   )
    else:
      a  :    Union[str, Any]       =     1

    hole_width_lower_bound += (outer_width - hole_width_lower_bound) % 2

    for hole_width in range(A_			,    outer_width - 1			,    2   ):
      count[outer_width * outer_width - hole_width * hole_width] += 1

  return sum(1 for n in count.values() if 1 <= n <= 1_0   )


if __name__ == "__main__":
   print(f'''{solution() = }''')




