






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


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


__magic_name__   :  str        =							{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
__magic_name__   :  int        =							{
    '''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''',
    },
}

__magic_name__   :  int        =							{
    '''RUCAIBox/mvp''': 1024,
}





class 					A__     (     __snake_case ):

     '''simple docstring'''






     snake_case__					=					VOCAB_FILES_NAMES
     snake_case__					=					PRETRAINED_VOCAB_FILES_MAP
     snake_case__					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     snake_case__					=					["""input_ids""", """attention_mask"""]
     snake_case__					=					MvpTokenizer







     def __init__( self      :    Dict   ,						_SCREAMING_SNAKE_CASE      :    List[Any]=None   ,						_SCREAMING_SNAKE_CASE      :    List[str]=None   ,						_SCREAMING_SNAKE_CASE      :    str=None   ,						_SCREAMING_SNAKE_CASE      :    Any="replace"   ,						_SCREAMING_SNAKE_CASE      :    Tuple="<s>"   ,						_SCREAMING_SNAKE_CASE      :    Union[str, Any]="</s>"   ,						_SCREAMING_SNAKE_CASE      :    Any="</s>"   ,						_SCREAMING_SNAKE_CASE      :    Dict="<s>"   ,						_SCREAMING_SNAKE_CASE      :    Tuple="<unk>"   ,						_SCREAMING_SNAKE_CASE      :    int="<pad>"   ,						_SCREAMING_SNAKE_CASE      :    int="<mask>"   ,						_SCREAMING_SNAKE_CASE      :    Dict=False   ,						_SCREAMING_SNAKE_CASE      :    Any=True   ,						**_SCREAMING_SNAKE_CASE      :    List[Any]   ,						):






           """simple docstring"""




           super().__init__(
               _SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE   ,						tokenizer_file=_SCREAMING_SNAKE_CASE   ,						errors=_SCREAMING_SNAKE_CASE   ,						bos_token=_SCREAMING_SNAKE_CASE   ,						eos_token=_SCREAMING_SNAKE_CASE   ,						sep_token=_SCREAMING_SNAKE_CASE   ,						cls_token=_SCREAMING_SNAKE_CASE   ,						unk_token=_SCREAMING_SNAKE_CASE   ,						pad_token=_SCREAMING_SNAKE_CASE   ,						mask_token=_SCREAMING_SNAKE_CASE   ,						add_prefix_space=_SCREAMING_SNAKE_CASE   ,						trim_offsets=_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE   ,						)

           UpperCamelCase					       =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
           if pre_tok_state.get('add_prefix_space'   ,						_SCREAMING_SNAKE_CASE ) != add_prefix_space:
                 UpperCamelCase					       =  getattr(_SCREAMING_SNAKE_CASE   ,						pre_tok_state.pop('type' ) )
                 UpperCamelCase					       =  add_prefix_space
                 UpperCamelCase					       =  pre_tok_class(**_SCREAMING_SNAKE_CASE )

           UpperCamelCase					       =  add_prefix_space

           # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
           UpperCamelCase					       =  'post_processor'
           UpperCamelCase					       =  getattr(self.backend_tokenizer   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )
           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'   ,						_SCREAMING_SNAKE_CASE ) != add_prefix_space:
                       UpperCamelCase					       =  add_prefix_space
                       UpperCamelCase					       =  True

                 if state.get('trim_offsets'   ,						_SCREAMING_SNAKE_CASE ) != trim_offsets:
                       UpperCamelCase					       =  trim_offsets
                       UpperCamelCase					       =  True

                 if changes_to_apply:
                       UpperCamelCase					       =  getattr(_SCREAMING_SNAKE_CASE   ,						state.pop('type' ) )
                       UpperCamelCase					       =  component_class(**_SCREAMING_SNAKE_CASE )
                       setattr(self.backend_tokenizer   ,						_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE )







     @property
     def   _SCREAMING_SNAKE_CASE     ( self      :    int ):






           """simple docstring"""




           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   _SCREAMING_SNAKE_CASE     ( self      :    Tuple   ,						_SCREAMING_SNAKE_CASE      :    Tuple ):






           """simple docstring"""




           UpperCamelCase					       =  AddedToken(_SCREAMING_SNAKE_CASE   ,						lstrip=_SCREAMING_SNAKE_CASE   ,						rstrip=_SCREAMING_SNAKE_CASE ) if isinstance(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE ) else value
           UpperCamelCase					       =  value







     def   _SCREAMING_SNAKE_CASE     ( self      :    Any   ,						*_SCREAMING_SNAKE_CASE      :    Dict   ,						**_SCREAMING_SNAKE_CASE      :    Optional[int] ):






           """simple docstring"""




           UpperCamelCase					       =  kwargs.get('is_split_into_words'   ,						_SCREAMING_SNAKE_CASE )

           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(*_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    List[str]   ,						*_SCREAMING_SNAKE_CASE      :    int   ,						**_SCREAMING_SNAKE_CASE      :    Optional[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  kwargs.get('is_split_into_words'   ,						_SCREAMING_SNAKE_CASE )

           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(*_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE )







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






           """simple docstring"""




           UpperCamelCase					       =  self._tokenizer.model.save(_SCREAMING_SNAKE_CASE   ,						name=_SCREAMING_SNAKE_CASE )
           return tuple(_SCREAMING_SNAKE_CASE )







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






           """simple docstring"""




           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   _SCREAMING_SNAKE_CASE     ( self      :    Any   ,						_SCREAMING_SNAKE_CASE      :    List[int]   ,						_SCREAMING_SNAKE_CASE      :    Optional[List[int]] = None ):






           """simple docstring"""




           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


__magic_name__   :  Dict        =							[
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]
def 		lowercase__  (				) ->			Dict:
      """simple docstring"""

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

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



