






'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_camembert import CamembertTokenizer
else:
      UpperCamelCase							=None


UpperCamelCase							=logging.get_logger(__name__)

UpperCamelCase							={"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase							={
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/tokenizer.json",
    },
}

UpperCamelCase							={
    "camembert-base": 512,
}

UpperCamelCase							="▁"




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 __a			:						List[str]      =						VOCAB_FILES_NAMES
 __a			:						Optional[int]      =						PRETRAINED_VOCAB_FILES_MAP
 __a			:						List[str]      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __a			:						Dict      =						['''input_ids''', '''attention_mask''']
 __a			:						Any      =						CamembertTokenizer
 def __init__(							self			,     __lowerCAmelCase=None			,     __lowerCAmelCase=None			,     __lowerCAmelCase="<s>"			,     __lowerCAmelCase="</s>"			,     __lowerCAmelCase="</s>"			,     __lowerCAmelCase="<s>"			,     __lowerCAmelCase="<unk>"			,     __lowerCAmelCase="<pad>"			,     __lowerCAmelCase="<mask>"			,     __lowerCAmelCase=["<s>NOTUSED", "</s>NOTUSED"]			,     **__lowerCAmelCase			,     ):
       # Mask token behave like a normal word, i.e. include the space before it
       UpperCamelCase_				:   Optional[int]					    =							AddedToken(__lowerCAmelCase			,     lstrip=__lowerCAmelCase			,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase			,     __lowerCAmelCase ) else mask_token

       super().__init__(
           __lowerCAmelCase			,     tokenizer_file=__lowerCAmelCase			,     bos_token=__lowerCAmelCase			,     eos_token=__lowerCAmelCase			,     sep_token=__lowerCAmelCase			,     cls_token=__lowerCAmelCase			,     unk_token=__lowerCAmelCase			,     pad_token=__lowerCAmelCase			,     mask_token=__lowerCAmelCase			,     additional_special_tokens=__lowerCAmelCase			,     **__lowerCAmelCase			,     )

       UpperCamelCase_				:   Tuple					    =							vocab_file
       UpperCamelCase_				:   Dict					    =							False if not self.vocab_file else True
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):

       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       UpperCamelCase_				:   List[str]					    =							[self.cls_token_id]
       UpperCamelCase_				:   Union[str, Any]					    =							[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   Dict					    =							[self.sep_token_id]
       UpperCamelCase_				:   Optional[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   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       if not self.can_save_slow_tokenizer:
             raise ValueError(
                 """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                 """tokenizer.""" )

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

       if os.path.abspath(self.vocab_file ) != os.path.abspath(__lowerCAmelCase ):
             copyfile(self.vocab_file			,     __lowerCAmelCase )

       return (out_vocab_file,)














'''simple docstring'''

from __future__ import annotations

import os
from typing import Any

import requests

UpperCamelCase							="https://api.github.com"

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

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



def 							snake_case					(     a_							: str	)       ->				dict[Any, Any]:





      """simple docstring"""

      UpperCamelCase_				:   Tuple					    =							{
          """Authorization""": f"token {auth_token}",
          """Accept""": """application/vnd.github.v3+json""",
      }
      return requests.get(a_    ,   headers=a_	).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.")






