


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


__UpperCamelCase       :       Dict						       =				logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
__UpperCamelCase       :       List[Any]						       =				{
    "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",
    },
}

__UpperCamelCase       :       Tuple						       =				{
    "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  (				):







 """simple docstring"""



 UpperCamelCase__					:    List[str]          =   (
     list(range(ord('''!'''     )    , ord('''~'''     ) + 1     )     ) + list(range(ord('''¡'''     )    , ord('''¬'''     ) + 1     )     ) + list(range(ord('''®'''     )    , ord('''ÿ'''     ) + 1     )     )
 )
 UpperCamelCase__					:    Tuple          =   bs[:]
 UpperCamelCase__					:    str          =   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__					:    Any          =   [chr(SCREAMING_SNAKE_CASE     ) for n in cs]
 return dict(zip(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )     )

def 			_a  (				SCREAMING_SNAKE_CASE	:				List[Any]     ):







 """simple docstring"""



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






class       __magic_name__	(     __lowerCAmelCase):
     A:		Any			=      VOCAB_FILES_NAMES
     A:		Union[str, Any]			=      PRETRAINED_VOCAB_FILES_MAP
     A:		Optional[Any]			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A:		Union[str, Any]			=      ["input_ids", "attention_mask"]


     def __init__(      self							:     Union[str, Any]							,	lowerCamelCase__							:     Tuple							,	lowerCamelCase__							:     Tuple							,	lowerCamelCase__							:     int="replace"							,	lowerCamelCase__							:     Optional[Any]="<s>"							,	lowerCamelCase__							:     Optional[int]="</s>"							,	lowerCamelCase__							:     str="</s>"							,	lowerCamelCase__							:     str="<s>"							,	lowerCamelCase__							:     Optional[Any]="<unk>"							,	lowerCamelCase__							:     Dict="<pad>"							,	lowerCamelCase__							:     List[str]="<mask>"							,	lowerCamelCase__							:     Dict=False							,	**lowerCamelCase__							:     Any							,	)  ->      Tuple:





      '''simple docstring'''






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

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      UpperCamelCase__					:    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      UpperCAmelCase__	(      self							:     str			)  ->      Optional[Any]:





      '''simple docstring'''






      return len(self.encoder			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Union[str, Any]:





      '''simple docstring'''






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


     def      UpperCAmelCase__	(      self							:     Union[str, Any]							,	lowerCamelCase__							:     Union[str, Any]			)  ->      Union[str, Any]:





      '''simple docstring'''






      if token in self.cache:
       return self.cache[token]
      UpperCamelCase__					:    str          =   tuple(lowerCamelCase__			)
      UpperCamelCase__					:    Tuple          =   get_pairs(lowerCamelCase__			)

      if not pairs:
       return token

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


     def      UpperCAmelCase__	(      self							:     List[Any]							,	lowerCamelCase__							:     List[Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   []
      for token in re.findall(self.pat							,	lowerCamelCase__			):
       UpperCamelCase__					:    Optional[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      UpperCAmelCase__	(      self							:     Dict							,	lowerCamelCase__							:     Optional[Any]			)  ->      Tuple:





      '''simple docstring'''






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


     def      UpperCAmelCase__	(      self							:     List[str]							,	lowerCamelCase__							:     Union[str, Any]			)  ->      List[str]:





      '''simple docstring'''






      return self.decoder.get(lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     int							,	lowerCamelCase__							:     Dict			)  ->      Tuple:





      '''simple docstring'''






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


     def      UpperCAmelCase__	(      self							:     Optional[Any]							,	lowerCamelCase__							:     str							,	lowerCamelCase__							:     Optional[str] = None			)  ->      Tuple[str]:





      '''simple docstring'''






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

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

      return vocab_file, merge_file


     def      UpperCAmelCase__	(      self							:     Any							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None			)  ->      List[int]:





      '''simple docstring'''






      if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      UpperCamelCase__					:    Union[str, Any]          =   [self.cls_token_id]
      UpperCamelCase__					:    Optional[Any]          =   [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep


     def      UpperCAmelCase__	(      self							:     Optional[Any]							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None							,	lowerCamelCase__							:     bool = False			)  ->      List[int]:





      '''simple docstring'''






      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      UpperCAmelCase__	(      self							:     List[str]							,	lowerCamelCase__							:     List[int]							,	lowerCamelCase__							:     Optional[List[int]] = None			)  ->      List[int]:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   [self.sep_token_id]
      UpperCamelCase__					:    Tuple          =   [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      UpperCAmelCase__	(      self							:     Optional[int]							,	lowerCamelCase__							:     Optional[int]							,	lowerCamelCase__							:     Optional[int]=False							,	**lowerCamelCase__							:     str			)  ->      Dict:





      '''simple docstring'''






      UpperCamelCase__					:    Union[str, Any]          =   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()):
       UpperCamelCase__					:    str          =   ''' ''' + text
      return (text, kwargs)






from typing import TYPE_CHECKING

from ..utils import _LazyModule


__UpperCamelCase       :       int						       =				{
    "config": [
        "EXTERNAL_DATA_FORMAT_SIZE_LIMIT",
        "OnnxConfig",
        "OnnxConfigWithPast",
        "OnnxSeq2SeqConfigWithPast",
        "PatchingSpec",
    ],
    "convert": ["export", "validate_model_outputs"],
    "features": ["FeaturesManager"],
    "utils": ["ParameterFormat", "compute_serialized_parameters_size"],
}


if TYPE_CHECKING:
       from .config import (
           EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
           OnnxConfig,
           OnnxConfigWithPast,
           OnnxSeqaSeqConfigWithPast,
           PatchingSpec,
       )
       from .convert import export, validate_model_outputs
       from .features import FeaturesManager
       from .utils import ParameterFormat, compute_serialized_parameters_size

else:
       import sys

       __UpperCamelCase       :       List[str]						       =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


