


import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

lowerCamelCase		      = logging.get_logger(__name__)

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

lowerCamelCase		      = {
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

lowerCamelCase		      = {
    'gpt2': 10_24,
    'gpt2-medium': 10_24,
    'gpt2-large': 10_24,
    'gpt2-xl': 10_24,
    'distilgpt2': 10_24,
}


@lru_cache()
def 			a_   (					):
       '''simple docstring'''





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


def 			a_   (					SCREAMING_SNAKE_CASE__      :   Union[str, Any]  ):
       '''simple docstring'''





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




class A						(     __UpperCAmelCase  ):
      UpperCamelCase__							:						List[str]   =VOCAB_FILES_NAMES
      UpperCamelCase__							:						Any   =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__							:						int   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__							:						List[str]   =["""input_ids""", """attention_mask"""]






      def __init__(      self		:  Optional[int]    ,     lowercase_		:  Optional[Any]    ,     lowercase_		:  Any    ,     lowercase_		:  Optional[int]="replace"    ,     lowercase_		:  Union[str, Any]="<|endoftext|>"    ,     lowercase_		:  Optional[int]="<|endoftext|>"    ,     lowercase_		:  int="<|endoftext|>"    ,     lowercase_		:  List[Any]=None    ,     lowercase_		:  Union[str, Any]=False    ,     lowercase_		:  List[Any]=False    ,     **lowercase_		:  int    ,     )      ->		Tuple:
             """simple docstring"""




             _lowerCamelCase :	List[str]						=AddedToken(lowerCamelCase__    ,     lstrip=lowerCamelCase__    ,     rstrip=lowerCamelCase__				) if isinstance(lowerCamelCase__    ,     lowerCamelCase__				) else bos_token
             _lowerCamelCase :	int						=AddedToken(lowerCamelCase__    ,     lstrip=lowerCamelCase__    ,     rstrip=lowerCamelCase__				) if isinstance(lowerCamelCase__    ,     lowerCamelCase__				) else eos_token
             _lowerCamelCase :	Union[str, Any]						=AddedToken(lowerCamelCase__    ,     lstrip=lowerCamelCase__    ,     rstrip=lowerCamelCase__				) if isinstance(lowerCamelCase__    ,     lowerCamelCase__				) else unk_token
             _lowerCamelCase :	int						=AddedToken(lowerCamelCase__    ,     lstrip=lowerCamelCase__    ,     rstrip=lowerCamelCase__				) if isinstance(lowerCamelCase__    ,     lowerCamelCase__				) else pad_token
             super().__init__(
                 errors=lowerCamelCase__    ,     unk_token=lowerCamelCase__    ,     bos_token=lowerCamelCase__    ,     eos_token=lowerCamelCase__    ,     pad_token=lowerCamelCase__    ,     add_prefix_space=lowerCamelCase__    ,     add_bos_token=lowerCamelCase__    ,     **lowerCamelCase__    ,     )
             _lowerCamelCase :	Any						=add_bos_token

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

             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             _lowerCamelCase :	Optional[int]						=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		:  List[Any]				)      ->		str:
             """simple docstring"""




             return len(self.encoder				)






      def  lowerCamelCase (      self		:  Tuple				)      ->		str:
             """simple docstring"""




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






      def  lowerCamelCase (      self		:  List[str]    ,     lowercase_		:  List[Any]				)      ->		Optional[int]:
             """simple docstring"""




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

             if not pairs:
                    return token

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






      def  lowerCamelCase (      self		:  Tuple    ,     lowercase_		:  Optional[int]    ,     lowercase_		:  Optional[Any]=None				)      ->		Optional[int]:
             """simple docstring"""




             if self.add_bos_token:
                    _lowerCamelCase :	Optional[int]						=[self.bos_token_id]
             else:
                    _lowerCamelCase :	int						=[]

             _lowerCamelCase :	Optional[int]						=bos_token_ids + token_ids_a

             if token_ids_a is None:
                    return output

             return output + bos_token_ids + token_ids_a






      def  lowerCamelCase (      self		:  int    ,     lowercase_		:  Dict    ,     lowercase_		:  str = None    ,     lowercase_		:  List[Any] = 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 not self.add_bos_token:
                    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__				))
             return [1] + ([0] * len(lowerCamelCase__				)) + [1] + ([0] * len(lowerCamelCase__				))






      def  lowerCamelCase (      self		:  Tuple    ,     lowercase_		:  int				)      ->		Any:
             """simple docstring"""




             _lowerCamelCase :	Optional[Any]						=[]
             for token in re.findall(self.pat    ,     lowerCamelCase__				):
                    _lowerCamelCase :	int						=''.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  lowerCamelCase (      self		:  List[str]    ,     lowercase_		:  int				)      ->		Optional[Any]:
             """simple docstring"""




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






      def  lowerCamelCase (      self		:  Optional[int]    ,     lowercase_		:  List[Any]				)      ->		Union[str, Any]:
             """simple docstring"""




             return self.decoder.get(lowerCamelCase__				)






      def  lowerCamelCase (      self		:  Union[str, Any]    ,     lowercase_		:  Tuple				)      ->		Any:
             """simple docstring"""




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






      def  lowerCamelCase (      self		:  Optional[Any]    ,     lowercase_		:  Any    ,     lowercase_		:  Tuple = None				)      ->		Tuple[str]:
             """simple docstring"""




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

             _lowerCamelCase :	Dict						=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 lowercase_				: 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 :	str						=token_index
                           writer.write(' '.join(lowerCamelCase__				) + '\n'				)
                           index += 1

             return vocab_file, merge_file






      def  lowerCamelCase (      self		:  Optional[int]    ,     lowercase_		:  List[str]    ,     lowercase_		:  Tuple=False    ,     **lowercase_		:  List[str]				)      ->		Optional[Any]:
             """simple docstring"""




             _lowerCamelCase :	Union[str, Any]						=kwargs.pop('add_prefix_space'    ,     self.add_prefix_space				)
             if is_split_into_words or add_prefix_space:
                    _lowerCamelCase :	int						=' ' + text
             return (text, kwargs)






      def  lowerCamelCase (      self		:  List[str]    ,     lowercase_		:  str				)      ->		List[int]:
             """simple docstring"""




             _lowerCamelCase :	Optional[Any]						=[]
             for is_user, text in conversation.iter_texts():
                    input_ids.extend(self.encode(lowerCamelCase__    ,     add_special_tokens=lowerCamelCase__				) + [self.eos_token_id]				)
             if len(lowerCamelCase__				) > self.model_max_length:
                    _lowerCamelCase :	int						=input_ids[-self.model_max_length :]
             return input_ids






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase		      = {
    'configuration_deberta_v2': ['DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DebertaV2Config', 'DebertaV2OnnxConfig'],
    'tokenization_deberta_v2': ['DebertaV2Tokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase		      = ['DebertaV2TokenizerFast']

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase		      = [
     'TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFDebertaV2ForMaskedLM',
     'TFDebertaV2ForQuestionAnswering',
     'TFDebertaV2ForSequenceClassification',
     'TFDebertaV2ForTokenClassification',
     'TFDebertaV2Model',
     'TFDebertaV2PreTrainedModel',
 ]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase		      = [
     'DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST',
     'DebertaV2ForMaskedLM',
     'DebertaV2ForMultipleChoice',
     'DebertaV2ForQuestionAnswering',
     'DebertaV2ForSequenceClassification',
     'DebertaV2ForTokenClassification',
     'DebertaV2Model',
     'DebertaV2PreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_deberta_va import (
     DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     DebertaVaConfig,
     DebertaVaOnnxConfig,
 )
 from .tokenization_deberta_va import DebertaVaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_deberta_va_fast import DebertaVaTokenizerFast

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_deberta_va import (
      TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFDebertaVaForMaskedLM,
      TFDebertaVaForQuestionAnswering,
      TFDebertaVaForSequenceClassification,
      TFDebertaVaForTokenClassification,
      TFDebertaVaModel,
      TFDebertaVaPreTrainedModel,
  )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_deberta_va import (
      DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
      DebertaVaForMaskedLM,
      DebertaVaForMultipleChoice,
      DebertaVaForQuestionAnswering,
      DebertaVaForSequenceClassification,
      DebertaVaForTokenClassification,
      DebertaVaModel,
      DebertaVaPreTrainedModel,
  )

else:
 import sys

 lowerCamelCase		      = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


