





"""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


__A											=		logging.get_logger(__name__)


__A											=		{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
__A											=		{
    """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""",
    },
}

__A											=		{
    """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,
}
@lru_cache()
def  __A   ()					->List[Any]:





  """simple docstring"""


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





  """simple docstring"""


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






class 					_lowerCAmelCase   (     a       ):
       """simple docstring"""




       __magic_name__     :Optional[int]		  =					VOCAB_FILES_NAMES
       __magic_name__     :List[Any]		  =					PRETRAINED_VOCAB_FILES_MAP
       __magic_name__     :List[Any]		  =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __magic_name__     :List[Any]		  =					["""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'''

         lowerCAmelCase__			:List[Any]											=							AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ) else bos_token
         lowerCAmelCase__			:int											=							AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ) else eos_token
         lowerCAmelCase__			:Optional[Any]											=							AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ) else sep_token
         lowerCAmelCase__			:str											=							AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ) else cls_token
         lowerCAmelCase__			:Optional[Any]											=							AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ) else unk_token
         lowerCAmelCase__			: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
         lowerCAmelCase__			: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:
           lowerCAmelCase__			:int											=							json.load(__UpperCAmelCase      )
         lowerCAmelCase__			:Dict											=							{v: k for k, v in self.encoder.items()}
         lowerCAmelCase__			:List[Any]											=							errors  # how to handle errors in decoding
         lowerCAmelCase__			:Optional[int]											=							bytes_to_unicode()
         lowerCAmelCase__			:Tuple											=							{v: k for k, v in self.byte_encoder.items()}
         with open(__UpperCAmelCase    , encoding='utf-8'      ) as merges_handle:
           lowerCAmelCase__			:List[Any]											=							merges_handle.read().split('\n'      )[1:-1]
         lowerCAmelCase__			:List[Any]											=							[tuple(merge.split()      ) for merge in bpe_merges]
         lowerCAmelCase__			:Any											=							dict(zip(__UpperCAmelCase    , range(len(__UpperCAmelCase      )      )      )      )
         lowerCAmelCase__			:Union[str, Any]											=							{}
         lowerCAmelCase__			:List[Any]											=							add_prefix_space

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         lowerCAmelCase__			: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      snake_case						(    self      ):



         '''simple docstring'''

         return len(self.encoder      )






       def      snake_case						(    self      ):



         '''simple docstring'''

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






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         if token in self.cache:
           return self.cache[token]
         lowerCAmelCase__			:List[Any]											=							tuple(__UpperCAmelCase      )
         lowerCAmelCase__			:Dict											=							get_pairs(__UpperCAmelCase      )

         if not pairs:
           return token

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






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         lowerCAmelCase__			:str											=							[]
         for token in re.findall(self.pat    , __UpperCAmelCase      ):
           lowerCAmelCase__			: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(__UpperCAmelCase      ).split(' '      )      )
         return bpe_tokens






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

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






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         return self.decoder.get(__UpperCAmelCase      )






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         lowerCAmelCase__			:Optional[int]											=							''.join(__UpperCAmelCase      )
         lowerCAmelCase__			:Tuple											=							bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'    , errors=self.errors      )
         return text






       def      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
         lowerCAmelCase__			:Optional[int]											=							os.path.join(
             __UpperCAmelCase    , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
         lowerCAmelCase__			:Optional[int]											=							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'      )

         lowerCAmelCase__			:Optional[int]											=							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!'      )
               lowerCAmelCase__			:Union[str, Any]											=							token_index
             writer.write(' '.join(__UpperCAmelCase      ) + '\n'      )
             index += 1

         return vocab_file, merge_file






       def      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]
         lowerCAmelCase__			:List[str]											=							[self.cls_token_id]
         lowerCAmelCase__			:str											=							[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep






       def      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      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase = None      ):



         '''simple docstring'''

         lowerCAmelCase__			:Optional[Any]											=							[self.sep_token_id]
         lowerCAmelCase__			: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      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase=False    , **__UpperCAmelCase      ):



         '''simple docstring'''

         lowerCAmelCase__			:int											=							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()):
           lowerCAmelCase__			:Any											=							' ' + text
         return (text, kwargs)







"""simple docstring"""





import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
  import torch






@require_torch
@require_optimum
@slow
class 					_lowerCAmelCase   (     unittest.TestCase       ):
       """simple docstring"""




       def      snake_case						(    self      ):



         '''simple docstring'''

         lowerCAmelCase__			:Optional[Any]											=							'hf-internal-testing/tiny-random-t5'
         lowerCAmelCase__			:List[Any]											=							AutoTokenizer.from_pretrained(__UpperCAmelCase      )
         lowerCAmelCase__			:str											=							AutoModelForSeqaSeqLM.from_pretrained(__UpperCAmelCase      )

         lowerCAmelCase__			:Any											=							tokenizer('This is me'    , return_tensors='pt'      )

         lowerCAmelCase__			:Dict											=							model.to_bettertransformer()

         self.assertTrue(any('BetterTransformer' in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

         lowerCAmelCase__			:Optional[Any]											=							model.generate(**__UpperCAmelCase      )

         lowerCAmelCase__			:List[Any]											=							model.reverse_bettertransformer()

         self.assertFalse(any('BetterTransformer' in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

         with tempfile.TemporaryDirectory() as tmpdirname:
           model.save_pretrained(__UpperCAmelCase      )

           lowerCAmelCase__			:Any											=							AutoModelForSeqaSeqLM.from_pretrained(__UpperCAmelCase      )

           self.assertFalse(
               any('BetterTransformer' in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()      )      )

           lowerCAmelCase__			:Union[str, Any]											=							model_reloaded.generate(**__UpperCAmelCase      )
           self.assertTrue(torch.allclose(__UpperCAmelCase    , __UpperCAmelCase      )      )






       def      snake_case						(    self      ):



         '''simple docstring'''

         lowerCAmelCase__			:int											=							'hf-internal-testing/tiny-random-t5'
         lowerCAmelCase__			:Union[str, Any]											=							AutoModelForSeqaSeqLM.from_pretrained(__UpperCAmelCase      )

         lowerCAmelCase__			:str											=							model.to_bettertransformer()

         with tempfile.TemporaryDirectory() as tmpdirname:
           with self.assertRaises(__UpperCAmelCase      ):
             model.save_pretrained(__UpperCAmelCase      )

           lowerCAmelCase__			:Optional[int]											=							model.reverse_bettertransformer()
           model.save_pretrained(__UpperCAmelCase      )
