





'''simple docstring'''




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


lowercase__       : int         =       logging.get_logger(__name__)


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

lowercase__       : Optional[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'''
        ),
    },
}

lowercase__       : Optional[int]         =       {
    '''allenai/longformer-base-4096''': 40_96,
    '''allenai/longformer-large-4096''': 40_96,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 40_96,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 40_96,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 40_96,
}






@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			_lowerCAmelCase     (    )	->	Union[str, Any]:
     __A		:					Union[str, Any]						=			(
         list(range(ord('!'     )					,				ord('~'     ) + 1     )     ) + list(range(ord('¡'     )					,				ord('¬'     ) + 1     )     ) + list(range(ord('®'     )					,				ord('ÿ'     ) + 1     )     )
     )
     __A		:					int						=			bs[:]
     __A		:					Optional[Any]						=			0
     for b in range(2**8     ):
          if b not in bs:
               bs.append(__snake_case     )
               cs.append(2**8 + n     )
               n += 1
     __A		:					Union[str, Any]						=			[chr(__snake_case     ) for n in cs]
     return dict(zip(__snake_case					,				__snake_case     )     )






def 			_lowerCAmelCase     (    __snake_case    :					Optional[Any]     )	->	Tuple:
     __A		:					List[str]						=			set()
     __A		:					Dict						=			word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)     )
          __A		:					List[Any]						=			char
     return pairs







class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			VOCAB_FILES_NAMES
     lowerCAmelCase						     =			PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase						     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCAmelCase						     =			['''input_ids''', '''attention_mask''']


     def __init__(		self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase="replace"		,      _UpperCAmelCase="<s>"		,      _UpperCAmelCase="</s>"		,      _UpperCAmelCase="</s>"		,      _UpperCAmelCase="<s>"		,      _UpperCAmelCase="<unk>"		,      _UpperCAmelCase="<pad>"		,      _UpperCAmelCase="<mask>"		,      _UpperCAmelCase=False		,      **_UpperCAmelCase		,      ):

          '''simple docstring'''






          __A		:					int						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else bos_token
          __A		:					Dict						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else eos_token
          __A		:					List[Any]						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else sep_token
          __A		:					str						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else cls_token
          __A		:					List[Any]						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else unk_token
          __A		:					Optional[int]						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          __A		:					Union[str, Any]						=			AddedToken(_UpperCAmelCase		,      lstrip=_UpperCAmelCase		,      rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase		,      _UpperCAmelCase) else mask_token

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

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

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          __A		:					List[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 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          return len(self.encoder)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          return dict(self.encoder		,      **self.added_tokens_encoder)


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          if token in self.cache:
               return self.cache[token]
          __A		:					List[Any]						=			tuple(_UpperCAmelCase)
          __A		:					Optional[Any]						=			get_pairs(_UpperCAmelCase)

          if not pairs:
               return token

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

                    if word[i] == first and i < len(_UpperCAmelCase) - 1 and word[i + 1] == second:
                         new_word.append(first + second)
                         i += 2
                    else:
                         new_word.append(word[i])
                         i += 1
               __A		:					Dict						=			tuple(_UpperCAmelCase)
               __A		:					Optional[Any]						=			new_word
               if len(_UpperCAmelCase) == 1:
                    break
               else:
                    __A		:					Optional[Any]						=			get_pairs(_UpperCAmelCase)
          __A		:					Any						=			' '.join(_UpperCAmelCase)
          __A		:					Any						=			word
          return word


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					Tuple						=			[]
          for token in re.findall(self.pat		,      _UpperCAmelCase):
               __A		:					Tuple						=			''.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(_UpperCAmelCase).split(' '))
          return bpe_tokens


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return self.encoder.get(_UpperCAmelCase		,      self.encoder.get(self.unk_token))


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return self.decoder.get(_UpperCAmelCase)


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					Optional[int]						=			''.join(_UpperCAmelCase)
          __A		:					List[Any]						=			bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'		,      errors=self.errors)
          return text


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

          '''simple docstring'''






          if not os.path.isdir(_UpperCAmelCase):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory')
               return
          __A		:					int						=			os.path.join(
              _UpperCAmelCase		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
          __A		:					Union[str, Any]						=			os.path.join(
              _UpperCAmelCase		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

          __A		:					Optional[Any]						=			0
          with open(_UpperCAmelCase		,      '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 _UpperCAmelCase: 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		:					str						=			token_index
                    writer.write(' '.join(_UpperCAmelCase) + '\n')
                    index += 1

          return vocab_file, merge_file


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

          '''simple docstring'''






          if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          __A		:					List[Any]						=			[self.cls_token_id]
          __A		:					Tuple						=			[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None		,      _UpperCAmelCase = False):

          '''simple docstring'''






          if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=_UpperCAmelCase		,      token_ids_a=_UpperCAmelCase		,      already_has_special_tokens=_UpperCAmelCase)

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


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

          '''simple docstring'''






          __A		:					Optional[int]						=			[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]


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase=False		,      **_UpperCAmelCase):

          '''simple docstring'''






          __A		:					List[str]						=			kwargs.pop('add_prefix_space'		,      self.add_prefix_space)
          if (is_split_into_words or add_prefix_space) and (len(_UpperCAmelCase) > 0 and not text[0].isspace()):
               __A		:					List[Any]						=			' ' + text
          return (text, kwargs)






'''simple docstring'''




import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer






def 			_lowerCAmelCase     (    __snake_case    :					str					,				__snake_case    :					str					,				**__snake_case    :					List[Any]     )	->	Any:
     __A		:					Optional[Any]						=			AutoConfig.from_pretrained(__snake_case					,				**__snake_case     )
     __A		:					int						=			AutoModelForSeqaSeqLM.from_config(__snake_case     )
     model.save_pretrained(__snake_case     )
     AutoTokenizer.from_pretrained(__snake_case     ).save_pretrained(__snake_case     )
     return model


if __name__ == "__main__":
  fire.Fire(save_randomly_initialized_version)