

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 :	Tuple     				=    logging.get_logger(__name__)

_lowerCAmelCase :	Tuple     				=    {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

_lowerCAmelCase :	Optional[Any]     				=    {
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
}

_lowerCAmelCase :	Optional[Any]     				=    {
    'roberta-base': 5_1_2,
    'roberta-large': 5_1_2,
    'roberta-large-mnli': 5_1_2,
    'distilroberta-base': 5_1_2,
    'roberta-base-openai-detector': 5_1_2,
    'roberta-large-openai-detector': 5_1_2,
}







@lru_cache()
def a_		(       )							->   Any:







 """simple docstring"""

 lowerCamelCase      						=    (
     list(range(ord('!'  )   ,					ord('~'  ) + 1  )  ) + list(range(ord('¡'  )   ,					ord('¬'  ) + 1  )  ) + list(range(ord('®'  )   ,					ord('ÿ'  ) + 1  )  )
 )
 lowerCamelCase      						=    bs[:]
 lowerCamelCase      						=    0
 for b in range(2**8  ):
  if b not in bs:
   bs.append(_A  )
   cs.append(2**8 + n  )
   n += 1
 lowerCamelCase      						=    [chr(_A  ) for n in cs]
 return dict(zip(_A   ,					_A  )  )







def a_		(       UpperCamelCase_   :							str  )							->   List[Any]:







 """simple docstring"""

 lowerCamelCase      						=    set()
 lowerCamelCase      						=    word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)  )
  lowerCamelCase      						=    char
 return pairs







class     lowerCAmelCase				(    lowerCamelCase__				):


       '''simple docstring'''







       snake_case    							=	VOCAB_FILES_NAMES
       snake_case    							=	PRETRAINED_VOCAB_FILES_MAP
       snake_case    							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case    							=	['input_ids', 'attention_mask']

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







        '''simple docstring'''

        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else bos_token
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else eos_token
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else sep_token
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else cls_token
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else unk_token
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        lowerCamelCase      						=    AddedToken(lowercase_						,	lstrip=lowercase_						,	rstrip=lowercase_     ) if isinstance(lowercase_						,	lowercase_     ) else mask_token

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowerCamelCase      						=    re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'     )

       @property
       def   lowerCamelCase__						(	self					:  int     )   -> Optional[int]:







        '''simple docstring'''

        return len(self.encoder     )

       def   lowerCamelCase__						(	self					:  Any     )   -> Tuple:







        '''simple docstring'''

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

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







        '''simple docstring'''

        if token in self.cache:
         return self.cache[token]
        lowerCamelCase      						=    tuple(lowercase_     )
        lowerCamelCase      						=    get_pairs(lowercase_     )

        if not pairs:
         return token

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

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

       def   lowerCamelCase__						(	self					:  Dict						,	__snake_case					:  int     )   -> Union[str, Any]:







        '''simple docstring'''

        lowerCamelCase      						=    []
        for token in re.findall(self.pat						,	lowercase_     ):
         lowerCamelCase      						=    ''.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(lowercase_     ).split(' '     )     )
        return bpe_tokens

       def   lowerCamelCase__						(	self					:  Any						,	__snake_case					:  Tuple     )   -> Optional[Any]:







        '''simple docstring'''

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

       def   lowerCamelCase__						(	self					:  Any						,	__snake_case					:  int     )   -> Optional[int]:







        '''simple docstring'''

        return self.decoder.get(lowercase_     )

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







        '''simple docstring'''

        lowerCamelCase      						=    ''.join(lowercase_     )
        lowerCamelCase      						=    bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'						,	errors=self.errors     )
        return text

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







        '''simple docstring'''

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

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

        lowerCamelCase      						=    0
        with open(lowercase_						,	'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 __snake_case     : 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      						=    token_index
          writer.write(' '.join(lowercase_     ) + '\n'     )
          index += 1

        return vocab_file, merge_file

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







        '''simple docstring'''

        if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowerCamelCase      						=    [self.cls_token_id]
        lowerCamelCase      						=    [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep

       def   lowerCamelCase__						(	self					:  Dict						,	__snake_case					:  Optional[Any]						,	__snake_case					:  Union[str, Any] = None						,	__snake_case					:  Optional[Any] = False     )   -> List[int]:







        '''simple docstring'''

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

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

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







        '''simple docstring'''

        lowerCamelCase      						=    [self.sep_token_id]
        lowerCamelCase      						=    [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   lowerCamelCase__						(	self					:  int						,	__snake_case					:  Optional[Any]						,	__snake_case					:  Any=False						,	**__snake_case					:  Any     )   -> List[str]:







        '''simple docstring'''

        lowerCamelCase      						=    kwargs.pop('add_prefix_space'						,	self.add_prefix_space     )
        if (is_split_into_words or add_prefix_space) and (len(lowercase_     ) > 0 and not text[0].isspace()):
         lowerCamelCase      						=    ' ' + text
        return (text, kwargs)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


_lowerCAmelCase :	Optional[Any]     				=    {
    'configuration_xlm_prophetnet': ['XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XLMProphetNetConfig'],
}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	Optional[Any]     				=    ['XLMProphetNetTokenizer']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	List[str]     				=    [
         'XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST',
         'XLMProphetNetDecoder',
         'XLMProphetNetEncoder',
         'XLMProphetNetForCausalLM',
         'XLMProphetNetForConditionalGeneration',
         'XLMProphetNetModel',
         'XLMProphetNetPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_xlm_prophetnet import (
              XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              XLMProphetNetDecoder,
              XLMProphetNetEncoder,
              XLMProphetNetForCausalLM,
              XLMProphetNetForConditionalGeneration,
              XLMProphetNetModel,
              XLMProphetNetPreTrainedModel,
          )

else:
     import sys

     _lowerCAmelCase :	List[Any]     				=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




