




from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


_snake_case            = logging.get_logger(__name__)

_snake_case            = {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_snake_case            = {
    "vocab_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"
    },
    "merges_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"
    },
}

_snake_case            = {"allegro/herbert-base-cased": 514}
_snake_case            = {}







class 		lowercase							(     UpperCamelCase__	):
     _a											=		VOCAB_FILES_NAMES
     _a											=		PRETRAINED_VOCAB_FILES_MAP
     _a											=		PRETRAINED_INIT_CONFIGURATION
     _a											=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _a											=		HerbertTokenizer

     def __init__(						self	,  _a=None	,  _a=None	,  _a=None	,  _a="<s>"	,  _a="<unk>"	,  _a="<pad>"	,  _a="<mask>"	,  _a="</s>"	,  **_a	,  )		->							Optional[int]:
           super().__init__(
               _a	,  _a	,  tokenizer_file=_a	,  cls_token=_a	,  unk_token=_a	,  pad_token=_a	,  mask_token=_a	,  sep_token=_a	,  **_a	,  )

     def       a__			(						self	,  _a	,  _a = None       )		->							List[int]:
           _A							:  List[Any]    =		[self.cls_token_id]
           _A							:  int    =		[self.sep_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       a__			(						self	,  _a	,  _a = None	,  _a = False       )		->							List[int]:
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=_a	,  token_ids_a=_a	,  already_has_special_tokens=_a       )

           if token_ids_a is None:
                 return [1] + ([0] * len(_a       )) + [1]
           return [1] + ([0] * len(_a       )) + [1] + ([0] * len(_a       )) + [1]

     def       a__			(						self	,  _a	,  _a = None       )		->							List[int]:
           _A							:  int    =		[self.sep_token_id]
           _A							:  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       ) * [0] + len(token_ids_a + sep       ) * [1]



     def       a__			(						self	,  _a	,  _a = None       )		->							Tuple[str]:
           _A							:  List[Any]    =		self._tokenizer.model.save(_a	,  name=_a       )
           return tuple(_a       )







from datetime import datetime as dt
import os

from github import Github


_snake_case            = [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]







def        lowerCAmelCase_			(  ):
      _A							:  int    =		Github(os.environ["""GITHUB_TOKEN"""]  )
      _A							:  Tuple    =		g.get_repo("""huggingface/transformers"""  )
      _A							:  Dict    =		repo.get_issues(state="""open"""  )

      for issue in open_issues:
            _A							:  Optional[Any]    =		sorted([comment for comment in issue.get_comments()],key=lambda snake_case_  : i.created_at,reverse=snake_case_  )
            _A							:  Dict    =		comments[0] if len(snake_case_  ) > 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()  )
            ):
                  # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
                  issue.edit(state="""closed"""  )
            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()  )
            ):
                  # print(f"Would add stale comment to {issue.number}")
                  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/transformers/blob/main/CONTRIBUTING.md) """
                      """are likely to be ignored."""  )


if __name__ == "__main__":
  main()

