'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


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


SCREAMING_SNAKE_CASE_:	Optional[int]    ={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE_:	Any    ={
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json',
    },
}

SCREAMING_SNAKE_CASE_:	int    ={
    'RUCAIBox/mvp': 10_24,
}




class 			__A (					UpperCamelCase__      ):
    a__			:		Optional[int]			  =    VOCAB_FILES_NAMES
    a__			:		str			  =    PRETRAINED_VOCAB_FILES_MAP
    a__			:		int			  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__			:		Any			  =    ["""input_ids""", """attention_mask"""]
    a__			:		List[Any]			  =    MvpTokenizer



    def __init__(self       :       Dict  ,     __a       :       List[Any]=None  ,     __a       :       List[Any]=None  ,     __a       :       Optional[int]=None  ,     __a       :       Any="replace"  ,     __a       :       Optional[Any]="<s>"  ,     __a       :       List[str]="</s>"  ,     __a       :       int="</s>"  ,     __a       :       Optional[int]="<s>"  ,     __a       :       str="<unk>"  ,     __a       :       str="<pad>"  ,     __a       :       List[Any]="<mask>"  ,     __a       :       Tuple=False  ,     __a       :       str=True  ,     **__a       :       Optional[int]  ,     ):
         super().__init__(
             __a  ,     __a  ,     tokenizer_file=__a  ,     errors=__a  ,     bos_token=__a  ,     eos_token=__a  ,     sep_token=__a  ,     cls_token=__a  ,     unk_token=__a  ,     pad_token=__a  ,     mask_token=__a  ,     add_prefix_space=__a  ,     trim_offsets=__a  ,     **__a  ,     )

         UpperCAmelCase_			       =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
         if pre_tok_state.get("add_prefix_space"  ,     __a					) != add_prefix_space:
              UpperCAmelCase_			       =  getattr(__a  ,     pre_tok_state.pop("type"					)					)
              UpperCAmelCase_			       =  add_prefix_space
              UpperCAmelCase_			       =  pre_tok_class(**__a					)

         UpperCAmelCase_			       =  add_prefix_space

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         UpperCAmelCase_			       =  "post_processor"
         UpperCAmelCase_			       =  getattr(self.backend_tokenizer  ,     __a  ,     __a					)
         if tokenizer_component_instance:
              UpperCAmelCase_			       =  json.loads(tokenizer_component_instance.__getstate__()					)

              # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
              if "sep" in state:
                   UpperCAmelCase_			       =  tuple(state["sep"]					)
              if "cls" in state:
                   UpperCAmelCase_			       =  tuple(state["cls"]					)

              UpperCAmelCase_			       =  False

              if state.get("add_prefix_space"  ,     __a					) != add_prefix_space:
                   UpperCAmelCase_			       =  add_prefix_space
                   UpperCAmelCase_			       =  True

              if state.get("trim_offsets"  ,     __a					) != trim_offsets:
                   UpperCAmelCase_			       =  trim_offsets
                   UpperCAmelCase_			       =  True

              if changes_to_apply:
                   UpperCAmelCase_			       =  getattr(__a  ,     state.pop("type"					)					)
                   UpperCAmelCase_			       =  component_class(**__a					)
                   setattr(self.backend_tokenizer  ,     __a  ,     __a					)



    @property
    def    _lowercase		(self       :       List[str]					):
         if self._mask_token is None:
              if self.verbose:
                   logger.error("Using mask_token, but it is not set yet."					)
              return None
         return str(self._mask_token					)



    @mask_token.setter
    def    _lowercase		(self       :       str  ,     __a       :       str					):
         UpperCAmelCase_			       =  AddedToken(__a  ,     lstrip=__a  ,     rstrip=__a					) if isinstance(__a  ,     __a					) else value
         UpperCAmelCase_			       =  value



    def    _lowercase		(self       :       str  ,     *__a       :       Dict  ,     **__a       :       Optional[Any]					):
         UpperCAmelCase_			       =  kwargs.get("is_split_into_words"  ,     __a					)

         if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  "to use it with pretokenized inputs."					)

         return super()._batch_encode_plus(*__a  ,     **__a					)



    def    _lowercase		(self       :       Optional[int]  ,     *__a       :       Optional[int]  ,     **__a       :       int					):
         UpperCAmelCase_			       =  kwargs.get("is_split_into_words"  ,     __a					)

         if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  "to use it with pretokenized inputs."					)

         return super()._encode_plus(*__a  ,     **__a					)



    def    _lowercase		(self       :       List[str]  ,     __a       :       str  ,     __a       :       Optional[str] = None					):
         UpperCAmelCase_			       =  self._tokenizer.model.save(__a  ,     name=__a					)
         return tuple(__a					)



    def    _lowercase		(self       :       Tuple  ,     __a       :       Any  ,     __a       :       List[str]=None					):
         UpperCAmelCase_			       =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
              return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






    def    _lowercase		(self       :       Tuple  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = None					):
         UpperCAmelCase_			       =  [self.sep_token_id]
         UpperCAmelCase_			       =  [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]










from datetime import datetime as dt
import os

from github import Github


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







def      lowerCamelCase_						(			)	->			int:





				"""simple docstring"""


				__lowerCamelCase									=       Github(os.environ['GITHUB_TOKEN'] )
				__lowerCamelCase									=       g.get_repo('huggingface/transformers' )
				__lowerCamelCase									=       repo.get_issues(state='open' )

				for issue in open_issues:
								__lowerCamelCase									=       sorted([comment for comment in issue.get_comments()]					,	key=lambda UpperCamelCase__ : i.created_at					,	reverse=UpperCamelCase__ )
								__lowerCamelCase									=       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() )
								):
												# 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()


