
import json
import os
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

lowercase						:      List[str]							=							logging.get_logger(__name__)

lowercase						:      List[str]							=							{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

lowercase						:      List[Any]							=							{
    '''vocab_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'''
        ),
    },
}

lowercase						:      Any							=							{
    '''microsoft/deberta-base''': 512,
    '''microsoft/deberta-large''': 512,
    '''microsoft/deberta-xlarge''': 512,
    '''microsoft/deberta-base-mnli''': 512,
    '''microsoft/deberta-large-mnli''': 512,
    '''microsoft/deberta-xlarge-mnli''': 512,
}

lowercase						:      Optional[int]							=							{
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}







def 		_snake_case(						)				->					Optional[Any]:
       lowercase							:  List[str] 			=   (
           list(range(ord("""!"""       )      ,			ord("""~"""       ) + 1       )       ) + list(range(ord("""¡"""       )      ,			ord("""¬"""       ) + 1       )       ) + list(range(ord("""®"""       )      ,			ord("""ÿ"""       ) + 1       )       )
       )
       lowercase							:  List[str] 			=   bs[:]
       lowercase							:  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
       lowercase							:  Optional[int] 			=   [chr(SCREAMING_SNAKE_CASE__       ) for n in cs]
       return dict(zip(SCREAMING_SNAKE_CASE__      ,			SCREAMING_SNAKE_CASE__       )       )







def 		_snake_case(						SCREAMING_SNAKE_CASE__       )				->					Dict:
       lowercase							:  List[str] 			=   set()
       lowercase							:  List[Any] 			=   word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)       )
              lowercase							:  Union[str, Any] 			=   char
       return pairs




class __snake_case	(   lowercase__  ):
    _a	:		str=       VOCAB_FILES_NAMES
    _a	:		Tuple=       PRETRAINED_VOCAB_FILES_MAP
    _a	:		int=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _a	:		List[str]=       ["""input_ids""", """attention_mask""", """token_type_ids"""]
    def __init__(						self	,snake_case	,snake_case	,snake_case="replace"	,snake_case="[CLS]"	,snake_case="[SEP]"	,snake_case="[SEP]"	,snake_case="[CLS]"	,snake_case="[UNK]"	,snake_case="[PAD]"	,snake_case="[MASK]"	,snake_case=False	,snake_case=False	,**snake_case	,):



           '''simple docstring'''







           lowercase							:  int 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else bos_token
           lowercase							:  Tuple 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else eos_token
           lowercase							:  List[str] 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else sep_token
           lowercase							:  Optional[int] 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else cls_token
           lowercase							:  List[str] 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else unk_token
           lowercase							:  str 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else pad_token

           # Mask token behave like a normal word, i.e. include the space before it
           lowercase							:  Optional[int] 			=   AddedToken(_A	,lstrip=_A	,rstrip=_A   ) if isinstance(_A	,_A   ) else mask_token

           super().__init__(
               errors=_A	,bos_token=_A	,eos_token=_A	,unk_token=_A	,sep_token=_A	,cls_token=_A	,pad_token=_A	,mask_token=_A	,add_prefix_space=_A	,add_bos_token=_A	,**_A	,)
           lowercase							:  Optional[int] 			=   add_bos_token

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

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           lowercase							:  Union[str, Any] 			=   re.compile(r"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""   )
    @property
    # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
    def    _SCREAMING_SNAKE_CASE (						self   ):



           '''simple docstring'''







           return len(self.encoder   )
    def    _SCREAMING_SNAKE_CASE (						self   ):



           '''simple docstring'''







           return dict(self.encoder	,**self.added_tokens_encoder   )
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







           if token in self.cache:
                  return self.cache[token]
           lowercase							:  Tuple 			=   tuple(_A   )
           lowercase							:  List[Any] 			=   get_pairs(_A   )

           if not pairs:
                  return token

           while True:
                  lowercase							:  Any 			=   min(_A	,key=lambda snake_case   : self.bpe_ranks.get(_A	,float("""inf"""   )   )   )
                  if bigram not in self.bpe_ranks:
                         break
                  lowercase							:  List[Any] 			=   bigram
                  lowercase							:  Dict 			=   []
                  lowercase							:  str 			=   0
                  while i < len(_A   ):
                         try:
                                lowercase							:  Any 			=   word.index(_A	,_A   )
                         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(_A   ) - 1 and word[i + 1] == second:
                                new_word.append(first + second   )
                                i += 2
                         else:
                                new_word.append(word[i]   )
                                i += 1
                  lowercase							:  Union[str, Any] 			=   tuple(_A   )
                  lowercase							:  int 			=   new_word
                  if len(_A   ) == 1:
                         break
                  else:
                         lowercase							:  str 			=   get_pairs(_A   )
           lowercase							:  Optional[Any] 			=   ' '.join(_A   )
           lowercase							:  int 			=   word
           return word
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case	,snake_case = None   ):



           '''simple docstring'''







           if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           lowercase							:  List[Any] 			=   [self.cls_token_id]
           lowercase							:  int 			=   [self.sep_token_id]
           return cls + token_ids_a + sep + token_ids_a + sep
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case	,snake_case = None	,snake_case = False   ):



           '''simple docstring'''







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

           if token_ids_a is None:
                  return [1] + ([0] * len(_A   )) + [1]
           return [1] + ([0] * len(_A   )) + [1] + ([0] * len(_A   )) + [1]
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case	,snake_case = None   ):



           '''simple docstring'''







           lowercase							:  Optional[Any] 			=   [self.sep_token_id]
           lowercase							:  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   ) * [0] + len(token_ids_a + sep   ) * [1]
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







           lowercase							:  str 			=   []
           for token in re.findall(self.pat	,_A   ):
                  lowercase							:  Union[str, 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(_A   ).split(""" """   )   )
           return bpe_tokens
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







           return self.encoder.get(_A	,self.encoder.get(self.unk_token   )   )
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







           return self.decoder.get(_A   )
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







           lowercase							:  int 			=   ''.join(_A   )
           lowercase							:  List[Any] 			=   bytearray([self.byte_decoder[c] for c in text]   ).decode("""utf-8"""	,errors=self.errors   )
           return text
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case	,snake_case = None   ):



           '''simple docstring'''







           if not os.path.isdir(_A   ):
                  logger.error(f"Vocabulary path ({save_directory}) should be a directory"   )
                  return
           lowercase							:  Tuple 			=   os.path.join(
               _A	,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
           lowercase							:  List[str] 			=   os.path.join(
               _A	,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]   )

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

           lowercase							:  Any 			=   0
           with open(_A	,"""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!"""   )
                                lowercase							:  List[str] 			=   token_index
                         writer.write(""" """.join(_A   ) + """\n"""   )
                         index += 1

           return vocab_file, merge_file
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case	,snake_case=False	,**snake_case   ):



           '''simple docstring'''







           lowercase							:  Any 			=   kwargs.pop("""add_prefix_space"""	,self.add_prefix_space   )
           if (is_split_into_words or add_prefix_space) and (len(_A   ) > 0 and not text[0].isspace()):
                  lowercase							:  List[Any] 			=   ' ' + text
           return (text, kwargs)
    def    _SCREAMING_SNAKE_CASE (						self	,snake_case   ):



           '''simple docstring'''







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




from __future__ import annotations







def 		_snake_case(						SCREAMING_SNAKE_CASE__       )				->					bool:
       lowercase							:  int
       lowercase							:  list[str] 			=   list(SCREAMING_SNAKE_CASE__       )
       lowercase			,    lowercase							:  Union[str, Any] 			=   _vector[:-1], int(_vector[-1]       )
       lowercase							:  list[int] 			=   [int(SCREAMING_SNAKE_CASE__       ) for digit in __vector]

       vector.reverse()
       for i, digit in enumerate(SCREAMING_SNAKE_CASE__       ):
              if i & 1 == 0:
                     lowercase							:  int 			=   digit * 2
                     if doubled > 9:
                            doubled -= 9
                     check_digit += doubled
              else:
                     check_digit += digit

       return check_digit % 10 == 0


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  assert is_luhn("""79927398713""")
  assert not is_luhn("""79927398714""")
