




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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_					    = logging.get_logger(__name__)

lowerCAmelCase_					    = {"""vocab_file""": """sentencepiece.model"""}

lowerCAmelCase_					    = {
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

lowerCAmelCase_					    = {
    """google/rembert""": 2_56,
}






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		VOCAB_FILES_NAMES
      A__		     =		PRETRAINED_VOCAB_FILES_MAP
      A__		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase=False      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase="[CLS]"      ,				__UpperCAmelCase="[SEP]"      ,				__UpperCAmelCase="[UNK]"      ,				__UpperCAmelCase="[SEP]"      ,				__UpperCAmelCase="[PAD]"      ,				__UpperCAmelCase="[CLS]"      ,				__UpperCAmelCase="[MASK]"      ,				**__UpperCAmelCase      ,				):
        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      ,				**__UpperCAmelCase      ,				)

        lowerCAmelCase__				:  Any		       =     do_lower_case
        lowerCAmelCase__				:  int		       =     remove_space
        lowerCAmelCase__				:  Optional[Any]		       =     keep_accents
        lowerCAmelCase__				:  Optional[Any]		       =     vocab_file

        lowerCAmelCase__				:  Any		       =     spm.SentencePieceProcessor()
        self.sp_model.Load(__UpperCAmelCase		)

      @property
      def 	__magic_name__(   self		):
        return len(self.sp_model		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  List[Any]		       =     {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		):
        lowerCAmelCase__				:  Any		       =     self.__dict__.copy()
        lowerCAmelCase__				:  Dict		       =     None
        return state

      def __setstate__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[Any]		       =     d
        lowerCAmelCase__				:  List[str]		       =     spm.SentencePieceProcessor()
        self.sp_model.Load(self.vocab_file		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase=False		):
        lowerCAmelCase__				:  List[Any]		       =     self.sp_model.EncodeAsPieces(__UpperCAmelCase		)
        return pieces

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return self.sp_model.PieceToId(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return self.sp_model.IdToPiece(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  str		       =     self.sp_model.decode_pieces(__UpperCAmelCase		)
        return out_string

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  int		       =     [self.sep_token_id]
        lowerCAmelCase__				:  List[Any]		       =     [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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None      ,				__UpperCAmelCase = False		):

        if already_has_special_tokens:
          if token_ids_a is not None:
            raise ValueError(
                '''You should not supply a second sequence if the provided sequence of '''
                '''ids is already formatted with special tokens for the model.'''		)
          return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Tuple		       =     [self.sep_token_id]
        lowerCAmelCase__				:  int		       =     [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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        if not os.path.isdir(__UpperCAmelCase		):
          logger.error('''Vocabulary path ({}) should be a directory'''.format(__UpperCAmelCase		)		)
          return
        lowerCAmelCase__				:  List[Any]		       =     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		):
          copyfile(self.vocab_file      ,				__UpperCAmelCase		)

        return (out_vocab_file,)







import os
from datetime import datetime as dt

from github import Github


lowerCAmelCase_					    = [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]



def      __lowerCAmelCase			(					)     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     Github(os.environ['''GITHUB_TOKEN''']      )
  lowerCAmelCase__				:  str		       =     g.get_repo('''huggingface/diffusers'''      )
  lowerCAmelCase__				:  List[str]		       =     repo.get_issues(state='''open'''      )

  for issue in open_issues:
    lowerCAmelCase__				:  Optional[Any]		       =     sorted(issue.get_comments()	,      key=lambda UpperCamelCase      : i.created_at	,      reverse=UpperCamelCase      )
    lowerCAmelCase__				:  int		       =     comments[0] if len(UpperCamelCase      ) > 0 else None
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and (dt.utcnow() - issue.updated_at).days > 7
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Closes the issue after 7 days of inactivity since the Stalebot notification.
      issue.edit(state='''closed'''      )
    elif (
        "stale" in issue.get_labels()
        and last_comment is not None
        and last_comment.user.login != "github-actions[bot]"
    ):
      # Opens the issue if someone other than Stalebot commented.
      issue.edit(state='''open'''      )
      issue.remove_from_labels('''stale'''      )
    elif (
        (dt.utcnow() - issue.updated_at).days > 23
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Post a Stalebot notification after 23 days of inactivity.
      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/diffusers/blob/main/CONTRIBUTING.md) '''
          '''are likely to be ignored.'''      )
      issue.add_to_labels('''stale'''      )


if __name__ == "__main__":
     main()

