


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    :   Optional[int]	    =					logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
snake_case    :   Optional[int]	    =					{
    '''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''',
    },
}

snake_case    :   Optional[Any]	    =					{
    '''facebook/bart-base''': 10_24,
    '''facebook/bart-large''': 10_24,
    '''facebook/bart-large-mnli''': 10_24,
    '''facebook/bart-large-cnn''': 10_24,
    '''facebook/bart-large-xsum''': 10_24,
    '''yjernite/bart_eli5''': 10_24,
}
@lru_cache()
def     __lowerCamelCase						(			):




      """simple docstring"""





      a						:str										=	(
          list(range(ord('''!'''						)			,  ord('''~'''						) + 1						)						) + list(range(ord('''¡'''						)			,  ord('''¬'''						) + 1						)						) + list(range(ord('''®'''						)			,  ord('''ÿ'''						) + 1						)						)
      )
      a						:str										=	bs[:]
      a						:List[Any]										=	0
      for b in range(2**8						):
            if b not in bs:
                  bs.append(lowerCamelCase__						)
                  cs.append(2**8 + n						)
                  n += 1
      a						:Dict										=	[chr(lowerCamelCase__						) for n in cs]
      return dict(zip(lowerCamelCase__			,  lowerCamelCase__						)						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





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







class 		_snake_case  (				snake_case_							):
 SCREAMING_SNAKE_CASE__				=	VOCAB_FILES_NAMES
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_VOCAB_FILES_MAP
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 SCREAMING_SNAKE_CASE__				=	['input_ids', 'attention_mask']




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

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

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

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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       a						:List[str]										=	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   ):
       return len(self.encoder   )




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




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       if token in self.cache:
             return self.cache[token]
       a						:Union[str, Any]										=	tuple(_lowerCamelCase   )
       a						:Union[str, Any]										=	get_pairs(_lowerCamelCase   )

       if not pairs:
             return token

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

                   if word[i] == first and i < len(_lowerCamelCase   ) - 1 and word[i + 1] == second:
                         new_word.append(first + second   )
                         i += 2
                   else:
                         new_word.append(word[i]   )
                         i += 1
             a						:Optional[Any]										=	tuple(_lowerCamelCase   )
             a						:Optional[int]										=	new_word
             if len(_lowerCamelCase   ) == 1:
                   break
             else:
                   a						:Optional[int]										=	get_pairs(_lowerCamelCase   )
       a						:str										=	''' '''.join(_lowerCamelCase   )
       a						:Tuple										=	word
       return word




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Dict										=	[]
       for token in re.findall(self.pat ,  _lowerCamelCase   ):
             a						:Union[str, Any]										=	''''''.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(_lowerCamelCase   ).split(''' '''   )   )
       return bpe_tokens




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.encoder.get(_lowerCamelCase ,  self.encoder.get(self.unk_token   )   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.decoder.get(_lowerCamelCase   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Optional[int]										=	''''''.join(_lowerCamelCase   )
       a						:Optional[Any]										=	bytearray([self.byte_decoder[c] for c in text]   ).decode('''utf-8''' ,  errors=self.errors   )
       return text




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       if not os.path.isdir(_lowerCamelCase   ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
             return
       a						:Dict										=	os.path.join(
           _lowerCamelCase ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
       a						:int										=	os.path.join(
           _lowerCamelCase ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']   )

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

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

       return vocab_file, merge_file




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       a						:Optional[Any]										=	[self.cls_token_id]
       a						:Optional[Any]										=	[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None ,  _lowerCamelCase = False   ):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowerCamelCase ,  token_ids_a=_lowerCamelCase ,  already_has_special_tokens=_lowerCamelCase   )

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




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       a						:List[str]										=	[self.sep_token_id]
       a						:Optional[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 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase=False ,  **_lowerCamelCase   ):
       a						:int										=	kwargs.pop('''add_prefix_space''' ,  self.add_prefix_space   )
       if (is_split_into_words or add_prefix_space) and (len(_lowerCamelCase   ) > 0 and not text[0].isspace()):
             a						:Dict										=	''' ''' + text
       return (text, kwargs)









from ...configuration_utils import PretrainedConfig







class 		_snake_case  (				_snake_case							):
 SCREAMING_SNAKE_CASE__				=	'bert-generation'




 def __init__(		self ,  _lowerCamelCase=5_0358 ,  _lowerCamelCase=1024 ,  _lowerCamelCase=24 ,  _lowerCamelCase=16 ,  _lowerCamelCase=4096 ,  _lowerCamelCase="gelu" ,  _lowerCamelCase=0.1 ,  _lowerCamelCase=0.1 ,  _lowerCamelCase=512 ,  _lowerCamelCase=0.02 ,  _lowerCamelCase=1e-12 ,  _lowerCamelCase=0 ,  _lowerCamelCase=2 ,  _lowerCamelCase=1 ,  _lowerCamelCase="absolute" ,  _lowerCamelCase=True ,  **_lowerCamelCase ,  ):
       super().__init__(pad_token_id=_lowerCamelCase ,  bos_token_id=_lowerCamelCase ,  eos_token_id=_lowerCamelCase ,  **_lowerCamelCase   )

       a						:Optional[int]										=	vocab_size
       a						:Tuple										=	hidden_size
       a						:Any										=	num_hidden_layers
       a						:Any										=	num_attention_heads
       a						:List[Any]										=	hidden_act
       a						:Tuple										=	intermediate_size
       a						:Any										=	hidden_dropout_prob
       a						:int										=	attention_probs_dropout_prob
       a						:Dict										=	max_position_embeddings
       a						:int										=	initializer_range
       a						:Union[str, Any]										=	layer_norm_eps
       a						:str										=	position_embedding_type
       a						:int										=	use_cache





