"""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_barthez import BarthezTokenizer
else:
     _a   :	Tuple 					=     None

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

_a   :	Optional[Any] 					=     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

_a   :	Tuple 					=     {
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

_a   :	Dict 					=     {
    'moussaKam/mbarthez': 1_024,
    'moussaKam/barthez': 1_024,
    'moussaKam/barthez-orangesum-title': 1_024,
}

_a   :	Optional[Any] 					=     '▁'
class 		__A							(				SCREAMING_SNAKE_CASE_	):
     _UpperCamelCase							:    Tuple	      =	VOCAB_FILES_NAMES
     _UpperCamelCase							:    Tuple	      =	PRETRAINED_VOCAB_FILES_MAP
     _UpperCamelCase							:    List[Any]	      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _UpperCamelCase							:    List[str]	      =	["input_ids", "attention_mask"]
     _UpperCamelCase							:    List[str]	      =	BarthezTokenizer






     def __init__(	self       ,  a__=None       ,  a__=None       ,  a__="<s>"       ,  a__="</s>"       ,  a__="</s>"       ,  a__="<s>"       ,  a__="<unk>"       ,  a__="<pad>"       ,  a__="<mask>"       ,  **a__       ,  ):
       # Mask token behave like a normal word, i.e. include the space before it
       _lowerCAmelCase		: Optional[int]						    =  AddedToken(a__       ,  lstrip=a__       ,  rstrip=a__						) if isinstance(a__       ,  a__						) else mask_token

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

       _lowerCAmelCase		: Optional[Any]						    =  vocab_file
       _lowerCAmelCase		: Dict						    =  False if not self.vocab_file else True






     def 					__A						(	self       ,  a__       ,  a__ = None						):

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






     def 					__A						(	self       ,  a__       ,  a__ = None						):
       _lowerCAmelCase		: Tuple						    =  [self.sep_token_id]
       _lowerCAmelCase		: Union[str, 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 					__A						(	self       ,  a__       ,  a__ = 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(a__						):
         logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
         return
       _lowerCAmelCase		: List[str]						    =  os.path.join(
           a__       ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

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

       return (out_vocab_file,)





"""simple docstring"""




import argparse
import json
import subprocess





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Optional[Any]    ,_lowerCamelCase		: Any			) ->   List[Any]:
  _lowerCAmelCase		: Tuple						    =  []

  _lowerCAmelCase		: Optional[int]						    =  (
      f"curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""
      """ https://api.github.com/repos/huggingface/transformers/actions/runners"""
  )
  _lowerCAmelCase		: List[str]						    =  subprocess.run(_lowerCamelCase    ,shell=_lowerCamelCase    ,stdout=subprocess.PIPE			)
  _lowerCAmelCase		: int						    =  output.stdout.decode("""utf-8"""			)
  _lowerCAmelCase		: Tuple						    =  json.loads(_lowerCamelCase			)

  _lowerCAmelCase		: int						    =  status["""runners"""]
  for runner in runners:
    if runner["name"] in target_runners:
      if runner["status"] == "offline":
        offline_runners.append(_lowerCamelCase			)

    # save the result so we can report them on Slack
  with open("""offline_runners.txt"""    ,"""w"""			) as fp:
    fp.write(json.dumps(_lowerCamelCase			)			)

  if len(_lowerCamelCase			) > 0:
    _lowerCAmelCase		: int						    =  """\n""".join([x["""name"""] for x in offline_runners]			)
    raise ValueError(f"The following runners are offline:\n{failed}"			)


if __name__ == "__main__":





     def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Union[str, Any]			) ->   Optional[int]:
       return values.split(""","""			)

     _a   :	int 					=     argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         '--target_runners',
         default=None,
         type=list_str,
         required=True,
         help='Comma-separated list of runners to check status.',
     )

     parser.add_argument(
         '--token', default=None, type=str, required=True, help='A token that has actions:read permission.'
     )
     _a   :	Tuple 					=     parser.parse_args()






     get_runner_status(args.target_runners, args.token)




