



import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


snake_case    :						str  =						logging.get_logger(__name__)


snake_case    :						List[str]  =						{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

snake_case    :						int  =						{
    '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'
        ),
    },
}

snake_case    :						int  =						{
    'allenai/longformer-base-4096': 4_0_9_6,
    'allenai/longformer-large-4096': 4_0_9_6,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
}
@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	snake_case__       (					)		->		List[str]:







      """simple docstring"""

      A__	:							Optional[Any]						    = (
          list(range(ord("!"       )							,     ord("~"       ) + 1       )       ) + list(range(ord("¡"       )							,     ord("¬"       ) + 1       )       ) + list(range(ord("®"       )							,     ord("ÿ"       ) + 1       )       )
      )
      A__	:							List[str]						    = bs[:]
      A__	:							str						    = 0
      for b in range(2**8       ):
            if b not in bs:
                  bs.append(__lowercase       )
                  cs.append(2**8 + n       )
                  n += 1
      A__	:							str						    = [chr(__lowercase       ) for n in cs]
      return dict(zip(__lowercase							,     __lowercase       )       )
def 	snake_case__       (					__lowercase       )		->		Dict:







      """simple docstring"""

      A__	:							Optional[Any]						    = set()
      A__	:							Any						    = word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)       )
            A__	:							List[str]						    = char
      return pairs




class 							lowerCAmelCase__  (	UpperCamelCase						):
     __A     :    Dict           =						VOCAB_FILES_NAMES
     __A     :    Tuple           =						PRETRAINED_VOCAB_FILES_MAP
     __A     :    str           =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A     :    int           =						['input_ids', 'attention_mask']







     def __init__(       self      :     str			,		_A      :     Tuple			,		_A      :     Union[str, Any]			,		_A      :     Union[str, Any]="replace"			,		_A      :     int="<s>"			,		_A      :     int="</s>"			,		_A      :     Any="</s>"			,		_A      :     Optional[Any]="<s>"			,		_A      :     Optional[Any]="<unk>"			,		_A      :     Union[str, Any]="<pad>"			,		_A      :     Optional[int]="<mask>"			,		_A      :     List[str]=False			,		**_A      :     int			,		):
           A__	:							Any						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else bos_token
           A__	:							List[Any]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else eos_token
           A__	:							List[str]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else sep_token
           A__	:							Optional[int]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else cls_token
           A__	:							Dict						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else unk_token
           A__	:							Optional[Any]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else pad_token

           # Mask token behave like a normal word, i.e. include the space before it
           A__	:							Any						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else mask_token

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

           with open(_A			,		encoding="utf-8") as vocab_handle:
                 A__	:							str						    = json.load(_A)
           A__	:							str						    = {v: k for k, v in self.encoder.items()}
           A__	:							Optional[Any]						    = errors  # how to handle errors in decoding
           A__	:							Dict						    = bytes_to_unicode()
           A__	:							str						    = {v: k for k, v in self.byte_encoder.items()}
           with open(_A			,		encoding="utf-8") as merges_handle:
                 A__	:							Union[str, Any]						    = merges_handle.read().split("\n")[1:-1]
           A__	:							Union[str, Any]						    = [tuple(merge.split()) for merge in bpe_merges]
           A__	:							Union[str, Any]						    = dict(zip(_A			,		range(len(_A))))
           A__	:							Any						    = {}
           A__	:							Dict						    = add_prefix_space

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           A__	:							Optional[Any]						    = re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")







     @property
     def  _lowercase			(       self      :     List[str]):
           return len(self.encoder)







     def  _lowercase			(       self      :     Any):
           return dict(self.encoder			,		**self.added_tokens_encoder)







     def  _lowercase			(       self      :     Tuple			,		_A      :     Any):
           if token in self.cache:
                 return self.cache[token]
           A__	:							int						    = tuple(_A)
           A__	:							Optional[int]						    = get_pairs(_A)

           if not pairs:
                 return token

           while True:
                 A__	:							int						    = min(_A			,		key=lambda _A: self.bpe_ranks.get(_A			,		float("inf")))
                 if bigram not in self.bpe_ranks:
                       break
                 A__	:							List[str]						    = bigram
                 A__	:							Union[str, Any]						    = []
                 A__	:							List[Any]						    = 0
                 while i < len(_A):
                       try:
                             A__	:							List[Any]						    = word.index(_A			,		_A)
                       except ValueError:
                             new_word.extend(word[i:])
                             break
                       else:
                             new_word.extend(word[i:j])
                             A__	:							Dict						    = j

                       if word[i] == first and i < len(_A) - 1 and word[i + 1] == second:
                             new_word.append(first + second)
                             i += 2
                       else:
                             new_word.append(word[i])
                             i += 1
                 A__	:							List[str]						    = tuple(_A)
                 A__	:							Optional[int]						    = new_word
                 if len(_A) == 1:
                       break
                 else:
                       A__	:							Any						    = get_pairs(_A)
           A__	:							int						    = " ".join(_A)
           A__	:							List[Any]						    = word
           return word







     def  _lowercase			(       self      :     Optional[Any]			,		_A      :     Union[str, Any]):
           A__	:							List[str]						    = []
           for token in re.findall(self.pat			,		_A):
                 A__	:							Dict						    = "".join(
                     self.byte_encoder[b] for b in token.encode("utf-8"))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                 bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_A).split(" "))
           return bpe_tokens







     def  _lowercase			(       self      :     List[Any]			,		_A      :     Dict):
           return self.encoder.get(_A			,		self.encoder.get(self.unk_token))







     def  _lowercase			(       self      :     str			,		_A      :     Optional[int]):
           return self.decoder.get(_A)







     def  _lowercase			(       self      :     int			,		_A      :     str):
           A__	:							Any						    = "".join(_A)
           A__	:							Dict						    = bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"			,		errors=self.errors)
           return text







     def  _lowercase			(       self      :     Union[str, Any]			,		_A      :     str			,		_A      :     Optional[str] = None):
           if not os.path.isdir(_A):
                 logger.error(F'Vocabulary path ({save_directory}) should be a directory')
                 return
           A__	:							Optional[Any]						    = os.path.join(
               _A			,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
           A__	:							Any						    = os.path.join(
               _A			,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

           with open(_A			,		"w"			,		encoding="utf-8") as f:
                 f.write(json.dumps(self.encoder			,		indent=2			,		sort_keys=_A			,		ensure_ascii=_A) + "\n")

           A__	:							Optional[Any]						    = 0
           with open(_A			,		"w"			,		encoding="utf-8") as writer:
                 writer.write("#version: 0.2\n")
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,		key=lambda _A: kv[1]):
                       if index != token_index:
                             logger.warning(
                                 F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                                 " Please check that the tokenizer is not corrupted!")
                             A__	:							List[Any]						    = token_index
                       writer.write(" ".join(_A) + "\n")
                       index += 1

           return vocab_file, merge_file







     def  _lowercase			(       self      :     Union[str, Any]			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None):
           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           A__	:							List[str]						    = [self.cls_token_id]
           A__	:							Optional[Any]						    = [self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep







     def  _lowercase			(       self      :     Tuple			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None			,		_A      :     bool = False):
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=_A			,		token_ids_a=_A			,		already_has_special_tokens=_A)

           if token_ids_a is None:
                 return [1] + ([0] * len(_A)) + [1]
           return [1] + ([0] * len(_A)) + [1, 1] + ([0] * len(_A)) + [1]







     def  _lowercase			(       self      :     List[Any]			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None):
           A__	:							Tuple						    = [self.sep_token_id]
           A__	:							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]







     def  _lowercase			(       self      :     Optional[int]			,		_A      :     Union[str, Any]			,		_A      :     int=False			,		**_A      :     Tuple):
           A__	:							Dict						    = kwargs.pop("add_prefix_space"			,		self.add_prefix_space)
           if (is_split_into_words or add_prefix_space) and (len(_A) > 0 and not text[0].isspace()):
                 A__	:							List[Any]						    = " " + text
           return (text, kwargs)




def 	snake_case__       (					__lowercase       )		->		int:







						"""simple docstring"""

						if divisor % 5 == 0 or divisor % 2 == 0:
												return 0
						A__	:							Tuple						    = 1
						A__	:							Union[str, Any]						    = 1
						while repunit:
												A__	:							Union[str, Any]						    = (1_0 * repunit + 1) % divisor
												repunit_index += 1
						return repunit_index
def 	snake_case__       (					__lowercase = 1_0_0_0_0_0_0       )		->		int:







						"""simple docstring"""

						A__	:							Dict						    = limit - 1
						if divisor % 2 == 0:
												divisor += 1
						while least_divisible_repunit(__lowercase       ) <= limit:
												divisor += 2
						return divisor


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