
"""simple docstring"""

import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCamelCase			:       Optional[Any]									=				logging.get_logger(__name__)
UpperCamelCase			:       str									=				{"vocab_file": "spiece.model"}

UpperCamelCase			:       List[str]									=				{
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    }
}

UpperCamelCase			:       Optional[Any]									=				{
    "albert-base-v1": 5_1_2,
    "albert-large-v1": 5_1_2,
    "albert-xlarge-v1": 5_1_2,
    "albert-xxlarge-v1": 5_1_2,
    "albert-base-v2": 5_1_2,
    "albert-large-v2": 5_1_2,
    "albert-xlarge-v2": 5_1_2,
    "albert-xxlarge-v2": 5_1_2,
}

UpperCamelCase			:       List[Any]									=				"▁"

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):
     lowercase		     =		VOCAB_FILES_NAMES
     lowercase		     =		PRETRAINED_VOCAB_FILES_MAP
     lowercase		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





     def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase=True			,  __UpperCAmelCase=True			,  __UpperCAmelCase=False			,  __UpperCAmelCase="[CLS]"			,  __UpperCAmelCase="[SEP]"			,  __UpperCAmelCase="<unk>"			,  __UpperCAmelCase="[SEP]"			,  __UpperCAmelCase="<pad>"			,  __UpperCAmelCase="[CLS]"			,  __UpperCAmelCase="[MASK]"			,  __UpperCAmelCase = None			,  **__UpperCAmelCase			,  ):

      '''simple docstring'''




      __UpperCamelCase       						= (
          AddedToken(__UpperCAmelCase			,  lstrip=__UpperCAmelCase			,  rstrip=__UpperCAmelCase			,  normalized=__UpperCAmelCase   )
          if isinstance(__UpperCAmelCase			,  __UpperCAmelCase   )
          else mask_token
      )

      __UpperCamelCase       						= {} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          do_lower_case=__UpperCAmelCase			,  remove_space=__UpperCAmelCase			,  keep_accents=__UpperCAmelCase			,  bos_token=__UpperCAmelCase			,  eos_token=__UpperCAmelCase			,  unk_token=__UpperCAmelCase			,  sep_token=__UpperCAmelCase			,  pad_token=__UpperCAmelCase			,  cls_token=__UpperCAmelCase			,  mask_token=__UpperCAmelCase			,  sp_model_kwargs=self.sp_model_kwargs			,  **__UpperCAmelCase			,  )

      __UpperCamelCase       						= do_lower_case
      __UpperCamelCase       						= remove_space
      __UpperCamelCase       						= keep_accents
      __UpperCamelCase       						= vocab_file

      __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(__UpperCAmelCase   )





     @property
     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return len(self.sp_model   )





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= {self.convert_ids_to_tokens(__UpperCAmelCase   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab





     def __getstate__(			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.__dict__.copy()
      __UpperCamelCase       						= None
      return state





     def __setstate__(			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= d

      # for backward compatibility
      if not hasattr(self			,  'sp_model_kwargs'   ):
       __UpperCamelCase       						= {}

      __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(self.vocab_file   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      if self.remove_space:
       __UpperCamelCase       						= ' '.join(inputs.strip().split()   )
      else:
       __UpperCamelCase       						= inputs
      __UpperCamelCase       						= outputs.replace('``'			,  '"'   ).replace('\'\''			,  '"'   )

      if not self.keep_accents:
       __UpperCamelCase       						= unicodedata.normalize('NFKD'			,  __UpperCAmelCase   )
       __UpperCamelCase       						= ''.join([c for c in outputs if not unicodedata.combining(__UpperCAmelCase   )]   )
      if self.do_lower_case:
       __UpperCamelCase       						= outputs.lower()

      return outputs





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.preprocess_text(__UpperCAmelCase   )
      __UpperCamelCase       						= self.sp_model.encode(__UpperCAmelCase			,  out_type=__UpperCAmelCase   )
      __UpperCamelCase       						= []
      for piece in pieces:
       if len(__UpperCAmelCase   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
        __UpperCamelCase       						= self.sp_model.EncodeAsPieces(piece[:-1].replace(__UpperCAmelCase			,  ''   )   )
        if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0]   ) == 1:
          __UpperCamelCase       						= cur_pieces[1:]
         else:
          __UpperCamelCase       						= cur_pieces[0][1:]
        cur_pieces.append(piece[-1]   )
        new_pieces.extend(__UpperCAmelCase   )
       else:
        new_pieces.append(__UpperCAmelCase   )

      return new_pieces





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.sp_model.PieceToId(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.sp_model.IdToPiece(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= []
      __UpperCamelCase       						= ''
      __UpperCamelCase       						= False
      for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
        if not prev_is_special:
         out_string += " "
        out_string += self.sp_model.decode(__UpperCAmelCase   ) + token
        __UpperCamelCase       						= True
        __UpperCamelCase       						= []
       else:
        current_sub_tokens.append(__UpperCAmelCase   )
        __UpperCamelCase       						= False
      out_string += self.sp_model.decode(__UpperCAmelCase   )
      return out_string.strip()





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




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





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None			,  __UpperCAmelCase = False   ):

      '''simple docstring'''




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

      if token_ids_a is not None:
       return [1] + ([0] * len(__UpperCAmelCase   )) + [1] + ([0] * len(__UpperCAmelCase   )) + [1]
      return [1] + ([0] * len(__UpperCAmelCase   )) + [1]





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




      __UpperCamelCase       						= [self.sep_token_id]
      __UpperCamelCase       						= [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 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




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

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(__UpperCAmelCase   ) and os.path.isfile(self.vocab_file   ):
       copyfile(self.vocab_file			,  __UpperCAmelCase   )
      elif not os.path.isfile(self.vocab_file   ):
       with open(__UpperCAmelCase			,  'wb'   ) as fi:
        __UpperCamelCase       						= self.sp_model.serialized_model_proto()
        fi.write(__UpperCAmelCase   )

      return (out_vocab_file,)





"""simple docstring"""

from __future__ import annotations

import os
from typing import Any

import requests

UpperCamelCase			:       Union[str, Any]									=				"https://api.github.com"

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
UpperCamelCase			:       Union[str, Any]									=				BASE_URL + "/user"

# https://github.com/settings/tokens
UpperCamelCase			:       Optional[int]									=				os.environ.get("USER_TOKEN", "")






def 							A		(       snake_case   :str	)   ->			dict[Any, Any]:
 __UpperCamelCase       						= {
     'Authorization': f'token {auth_token}',
     'Accept': 'application/vnd.github.v3+json',
 }
 return requests.get(snake_case       ,      headers=snake_case	).json()


if __name__ == "__main__":  # pragma: no cover
      if USER_TOKEN:
            for key, value in fetch_github_info(USER_TOKEN).items():
                  print(f'''{key}: {value}''')
      else:
            raise ValueError("'USER_TOKEN' field cannot be empty.")



