






"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


UpperCAmelCase_   : str   			= logging.get_logger(__name__)

UpperCAmelCase_   : str   			= {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase_   : Union[str, Any]   			= {
    """vocab_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"""
        ),
        """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt""",
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase_   : Optional[Any]   			= {
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


UpperCAmelCase_   : Any   			= {
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  VOCAB_FILES_NAMES
      __UpperCamelCase	 =  PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase	 =  PRETRAINED_INIT_CONFIGURATION
      __UpperCamelCase	 =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase	 =  SqueezeBertTokenizer
      def __init__(						self     :  str						,	lowercase_     :  List[Any]=None						,	lowercase_     :  Optional[Any]=None						,	lowercase_     :  Tuple=True						,	lowercase_     :  int="[UNK]"						,	lowercase_     :  List[Any]="[SEP]"						,	lowercase_     :  str="[PAD]"						,	lowercase_     :  List[str]="[CLS]"						,	lowercase_     :  Tuple="[MASK]"						,	lowercase_     :  Optional[int]=True						,	lowercase_     :  Optional[Any]=None						,	**lowercase_     :  Tuple						,	):




          '''simple docstring'''


          super().__init__(
              lowercase_						,	tokenizer_file=lowercase_						,	do_lower_case=lowercase_						,	unk_token=lowercase_						,	sep_token=lowercase_						,	pad_token=lowercase_						,	cls_token=lowercase_						,	mask_token=lowercase_						,	tokenize_chinese_chars=lowercase_						,	strip_accents=lowercase_						,	**lowercase_						,	)

          SCREAMING_SNAKE_CASE_      :  str    						=		json.loads(self.backend_tokenizer.normalizer.__getstate__())
          if (
              normalizer_state.get('''lowercase'''						,	lowercase_) != do_lower_case
              or normalizer_state.get('''strip_accents'''						,	lowercase_) != strip_accents
              or normalizer_state.get('''handle_chinese_chars'''						,	lowercase_) != tokenize_chinese_chars
          ):
              SCREAMING_SNAKE_CASE_      :  Dict    						=		getattr(lowercase_						,	normalizer_state.pop('''type'''))
              SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		do_lower_case
              SCREAMING_SNAKE_CASE_      :  str    						=		strip_accents
              SCREAMING_SNAKE_CASE_      :  List[str]    						=		tokenize_chinese_chars
              SCREAMING_SNAKE_CASE_      :  List[str]    						=		normalizer_class(**lowercase_)

          SCREAMING_SNAKE_CASE_      :  Any    						=		do_lower_case
      def _SCREAMING_SNAKE_CASE (						self     :  Tuple						,	lowercase_     :  Tuple						,	lowercase_     :  str=None):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  str    						=		[self.cls_token_id] + token_ids_a + [self.sep_token_id]

          if token_ids_a:
              output += token_ids_a + [self.sep_token_id]

          return output
      def _SCREAMING_SNAKE_CASE (						self     :  Union[str, Any]						,	lowercase_     :  List[int]						,	lowercase_     :  Optional[List[int]] = None):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Dict    						=		[self.sep_token_id]
          SCREAMING_SNAKE_CASE_      :  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) * [0] + len(token_ids_a + sep) * [1]



      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]						,	lowercase_     :  str						,	lowercase_     :  Optional[str] = None):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  int    						=		self._tokenizer.model.save(lowercase_						,	name=lowercase_)
          return tuple(lowercase_)









'''simple docstring'''




import os
from datetime import datetime as dt

from github import Github


__SCREAMING_SNAKE_CASE     :str       =				[
    '''good first issue''',
    '''feature request''',
    '''wip''',
]
def 	UpperCAmelCase_							(					)		->       Optional[Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   Github(os.environ["GITHUB_TOKEN"]       )
     _UpperCAmelCase     							=   g.get_repo("huggingface/accelerate"       )
     _UpperCAmelCase     							=   repo.get_issues(state="open"       )

     for issue in open_issues:
          _UpperCAmelCase     							=   sorted([comment for comment in issue.get_comments()]			,     key=lambda __lowercase       : i.created_at			,     reverse=__lowercase       )
          _UpperCAmelCase     							=   comments[0] if len(__lowercase       ) > 0 else None
          _UpperCAmelCase     							=   dt.utcnow()
          _UpperCAmelCase     							=   (current_time - issue.updated_at).days
          _UpperCAmelCase     							=   (current_time - issue.created_at).days
          if (
              last_comment is not None
              and last_comment.user.login == "github-actions[bot]"
              and days_since_updated > 7
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Close issue since it has been 7 days of inactivity since bot mention.
               issue.edit(state="closed"       )
          elif (
              days_since_updated > 23
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
          ):
               # Add stale comment
               issue.create_comment(
                   "This issue has been automatically marked as stale because it has not had "
                   "recent activity. If you think this still needs to be addressed "
                   "please comment on this thread.\n\nPlease note that issues that do not follow the "
                   "[contributing guidelines](https://github.com/huggingface/accelerate/blob/main/CONTRIBUTING.md) "
                   "are likely to be ignored."       )


if __name__ == "__main__":
  main()




