


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


__lowerCAmelCase		       =							logging.get_logger(__name__)


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

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

__lowerCAmelCase		       =							{
    "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    snake_case_     (  )  ->				Any:
       lowercase__:   Optional[Any]  			=   (
           list(range(ord('!'     )			,							ord('~'     ) + 1     )     ) + list(range(ord('¡'     )			,							ord('¬'     ) + 1     )     ) + list(range(ord('®'     )			,							ord('ÿ'     ) + 1     )     )
       )
       lowercase__:   Optional[int]  			=   bs[:]
       lowercase__:   Dict  			=   0
       for b in range(2**8     ):
              if b not in bs:
                     bs.append(_snake_case     )
                     cs.append(2**8 + n     )
                     n += 1
       lowercase__:   List[Any]  			=   [chr(_snake_case     ) for n in cs]
       return dict(zip(_snake_case			,							_snake_case     )     )




def    snake_case_     (  snake_case     )  ->				Union[str, Any]:
       lowercase__:   Optional[Any]  			=   set()
       lowercase__:   str  			=   word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)     )
              lowercase__:   Tuple  			=   char
       return pairs





class   __a			(    lowerCAmelCase_      ):
 __lowercase :							List[str]        = VOCAB_FILES_NAMES
 __lowercase :							Union[str, Any]        = PRETRAINED_VOCAB_FILES_MAP
 __lowercase :							List[str]        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase :							List[str]        = ['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__				, )					->				Union[str, Any]:




        '''simple docstring'''
        lowercase__:   Dict  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else bos_token
        lowercase__:   str  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else eos_token
        lowercase__:   List[str]  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else sep_token
        lowercase__:   Union[str, Any]  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else cls_token
        lowercase__:   List[Any]  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else unk_token
        lowercase__:   Optional[int]  			=   AddedToken(__snake_case				, lstrip=__snake_case				, rstrip=__snake_case ) if isinstance(__snake_case				, __snake_case ) else pad_token

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

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowercase__:   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 )					->				List[Any]:




        '''simple docstring'''
        return len(self.encoder )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				int:




        '''simple docstring'''
        return dict(self.encoder				, **self.added_tokens_encoder )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				Tuple:




        '''simple docstring'''
        if token in self.cache:
               return self.cache[token]
        lowercase__:   Optional[Any]  			=   tuple(__snake_case )
        lowercase__:   Union[str, Any]  			=   get_pairs(__snake_case )

        if not pairs:
               return token

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

                      if word[i] == first and i < len(__snake_case ) - 1 and word[i + 1] == second:
                             new_word.append(first + second )
                             i += 2
                      else:
                             new_word.append(word[i] )
                             i += 1
               lowercase__:   List[str]  			=   tuple(__snake_case )
               lowercase__:   Tuple  			=   new_word
               if len(__snake_case ) == 1:
                      break
               else:
                      lowercase__:   str  			=   get_pairs(__snake_case )
        lowercase__:   Tuple  			=   ' '.join(__snake_case )
        lowercase__:   Optional[int]  			=   word
        return word
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        lowercase__:   List[Any]  			=   []
        for token in re.findall(self.pat				, __snake_case ):
               lowercase__:   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(__snake_case ).split(' ' ) )
        return bpe_tokens
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				Any:




        '''simple docstring'''
        return self.encoder.get(__snake_case				, self.encoder.get(self.unk_token ) )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        return self.decoder.get(__snake_case )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        lowercase__:   List[str]  			=   ''.join(__snake_case )
        lowercase__:   str  			=   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 )					->				Tuple[str]:




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

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

        lowercase__:   Tuple  			=   0
        with open(__snake_case				, '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!' )
                             lowercase__:   List[Any]  			=   token_index
                      writer.write(' '.join(__snake_case ) + '\n' )
                      index += 1

        return vocab_file, merge_file
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				List[int]:




        '''simple docstring'''
        if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowercase__:   Union[str, Any]  			=   [self.cls_token_id]
        lowercase__:   int  			=   [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 )					->				List[int]:




        '''simple docstring'''
        if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=__snake_case				, token_ids_a=__snake_case				, already_has_special_tokens=__snake_case )

        if token_ids_a is None:
               return [1] + ([0] * len(__snake_case )) + [1]
        return [1] + ([0] * len(__snake_case )) + [1, 1] + ([0] * len(__snake_case )) + [1]
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				List[int]:




        '''simple docstring'''
        lowercase__:   str  			=   [self.sep_token_id]
        lowercase__:   List[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__ )					->				Union[str, Any]:




        '''simple docstring'''
        lowercase__:   Tuple  			=   kwargs.pop('add_prefix_space'				, self.add_prefix_space )
        if (is_split_into_words or add_prefix_space) and (len(__snake_case ) > 0 and not text[0].isspace()):
               lowercase__:   Union[str, Any]  			=   ' ' + text
        return (text, kwargs)





_lowerCAmelCase					:			Optional[int]  				=			"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

_lowerCAmelCase					:			Tuple  				=			[{"type": "code", "content": INSTALL_CONTENT}]
_lowerCAmelCase					:			Optional[int]  				=			{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}






