


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


_A			=						logging.get_logger(__name__)


_A			=						{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

_A			=						{
    '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'
        ),
    },
}

_A			=						{
    '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,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 						_UpperCAmelCase    (      ):
     __UpperCamelCase   							=(
         list(range(ord('!'    )      ,					ord('~'    ) + 1    )    ) + list(range(ord('¡'    )      ,					ord('¬'    ) + 1    )    ) + list(range(ord('®'    )      ,					ord('ÿ'    ) + 1    )    )
     )
     __UpperCamelCase   							=bs[:]
     __UpperCamelCase   							=0
     for b in range(2**8    ):
          if b not in bs:
               bs.append(SCREAMING_SNAKE_CASE__    )
               cs.append(2**8 + n    )
               n += 1
     __UpperCamelCase   							=[chr(SCREAMING_SNAKE_CASE__    ) for n in cs]
     return dict(zip(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )    )

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Dict    ):
     __UpperCamelCase   							=set()
     __UpperCamelCase   							=word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)    )
          __UpperCamelCase   							=char
     return pairs






class    UpperCAmelCase__	( A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Optional[Any]              =  VOCAB_FILES_NAMES
    UpperCAmelCase__						:		str              =  PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__						:		Union[str, Any]              =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__						:		Optional[int]              =  ["input_ids", "attention_mask"]






    def __init__(      self ,       A_ ,       A_ ,       A_="replace" ,       A_="<s>" ,       A_="</s>" ,       A_="</s>" ,       A_="<s>" ,       A_="<unk>" ,       A_="<pad>" ,       A_="<mask>" ,       A_=False ,       **A_ ,       )  ->	List[Any]:
         __UpperCamelCase   							=AddedToken(A_ ,       lstrip=A_ ,       rstrip=A_   ) if isinstance(A_ ,       A_   ) else bos_token
         __UpperCamelCase   							=AddedToken(A_ ,       lstrip=A_ ,       rstrip=A_   ) if isinstance(A_ ,       A_   ) else eos_token
         __UpperCamelCase   							=AddedToken(A_ ,       lstrip=A_ ,       rstrip=A_   ) if isinstance(A_ ,       A_   ) else sep_token
         __UpperCamelCase   							=AddedToken(A_ ,       lstrip=A_ ,       rstrip=A_   ) if isinstance(A_ ,       A_   ) else cls_token
         __UpperCamelCase   							=AddedToken(A_ ,       lstrip=A_ ,       rstrip=A_   ) if isinstance(A_ ,       A_   ) else unk_token
         __UpperCamelCase   							=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
         __UpperCamelCase   							=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:
              __UpperCamelCase   							=json.load(A_   )
         __UpperCamelCase   							={v: k for k, v in self.encoder.items()}
         __UpperCamelCase   							=errors  # how to handle errors in decoding
         __UpperCamelCase   							=bytes_to_unicode()
         __UpperCamelCase   							={v: k for k, v in self.byte_encoder.items()}
         with open(A_ ,       encoding='utf-8'   ) as merges_handle:
              __UpperCamelCase   							=merges_handle.read().split('\n'   )[1:-1]
         __UpperCamelCase   							=[tuple(merge.split()   ) for merge in bpe_merges]
         __UpperCamelCase   							=dict(zip(A_ ,       range(len(A_   )   )   )   )
         __UpperCamelCase   							={}
         __UpperCamelCase   							=add_prefix_space

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






    @property
    def _a (      self   )  ->	List[str]:
         return len(self.encoder   )






    def _a (      self   )  ->	int:
         return dict(self.encoder ,       **self.added_tokens_encoder   )






    def _a (      self ,       A_   )  ->	Optional[Any]:
         if token in self.cache:
              return self.cache[token]
         __UpperCamelCase   							=tuple(A_   )
         __UpperCamelCase   							=get_pairs(A_   )

         if not pairs:
              return token

         while True:
              __UpperCamelCase   							=min(A_ ,       key=lambda A_   : self.bpe_ranks.get(A_ ,       float('inf'   )   )   )
              if bigram not in self.bpe_ranks:
                   break
              __UpperCamelCase							,				__UpperCamelCase   							=bigram
              __UpperCamelCase   							=[]
              __UpperCamelCase   							=0
              while i < len(A_   ):
                   try:
                        __UpperCamelCase   							=word.index(A_ ,       A_   )
                   except ValueError:
                        new_word.extend(word[i:]   )
                        break
                   else:
                        new_word.extend(word[i:j]   )
                        __UpperCamelCase   							=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
              __UpperCamelCase   							=tuple(A_   )
              __UpperCamelCase   							=new_word
              if len(A_   ) == 1:
                   break
              else:
                   __UpperCamelCase   							=get_pairs(A_   )
         __UpperCamelCase   							=' '.join(A_   )
         __UpperCamelCase   							=word
         return word






    def _a (      self ,       A_   )  ->	int:
         __UpperCamelCase   							=[]
         for token in re.findall(self.pat ,       A_   ):
              __UpperCamelCase   							=''.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 _a (      self ,       A_   )  ->	str:
         return self.encoder.get(A_ ,       self.encoder.get(self.unk_token   )   )






    def _a (      self ,       A_   )  ->	int:
         return self.decoder.get(A_   )






    def _a (      self ,       A_   )  ->	int:
         __UpperCamelCase   							=''.join(A_   )
         __UpperCamelCase   							=bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8' ,       errors=self.errors   )
         return text






    def _a (      self ,       A_ ,       A_ = None   )  ->	Tuple[str]:
         if not os.path.isdir(A_   ):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
              return
         __UpperCamelCase   							=os.path.join(
             A_ ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
         __UpperCamelCase   							=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'   )

         __UpperCamelCase   							=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!'   )
                        __UpperCamelCase   							=token_index
                   writer.write(' '.join(A_   ) + '\n'   )
                   index += 1

         return vocab_file, merge_file






    def _a (      self ,       A_ ,       A_ = None   )  ->	List[int]:
         if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         __UpperCamelCase   							=[self.cls_token_id]
         __UpperCamelCase   							=[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep






    def _a (      self ,       A_ ,       A_ = None ,       A_ = False   )  ->	List[int]:
         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 _a (      self ,       A_ ,       A_ = None   )  ->	List[int]:
         __UpperCamelCase   							=[self.sep_token_id]
         __UpperCamelCase   							=[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 _a (      self ,       A_ ,       A_=False ,       **A_   )  ->	Any:
         __UpperCamelCase   							=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()):
              __UpperCamelCase   							=' ' + text
         return (text, kwargs)









from __future__ import annotations

from typing import Any

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : list[Any]    ):
     create_state_space_tree(SCREAMING_SNAKE_CASE__      ,					[]      ,					0    )

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : list[Any]      ,					SCREAMING_SNAKE_CASE__      : list[Any]      ,					SCREAMING_SNAKE_CASE__      : int    ):

     if index == len(SCREAMING_SNAKE_CASE__    ):
          print(SCREAMING_SNAKE_CASE__    )
          return

     create_state_space_tree(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__      ,					index + 1    )
     current_subsequence.append(sequence[index]    )
     create_state_space_tree(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__      ,					index + 1    )
     current_subsequence.pop()


if __name__ == "__main__":
   _A			=						[3, 1, 2, 4]
   generate_all_subsequences(seq)

   seq.clear()
   seq.extend(['A', 'B', 'C'])
   generate_all_subsequences(seq)





