






from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

__magic_name__   :  List[Any]        =							{}





class 					A__     (     __snake_case ):

     '''simple docstring'''






     snake_case__					=					"""llama"""
     snake_case__					=					["""past_key_values"""]







     def __init__( self      :    Union[str, Any]   ,						_SCREAMING_SNAKE_CASE      :    Optional[Any]=3_2000   ,						_SCREAMING_SNAKE_CASE      :    Dict=4096   ,						_SCREAMING_SNAKE_CASE      :    str=1_1008   ,						_SCREAMING_SNAKE_CASE      :    Tuple=32   ,						_SCREAMING_SNAKE_CASE      :    str=32   ,						_SCREAMING_SNAKE_CASE      :    Optional[Any]=None   ,						_SCREAMING_SNAKE_CASE      :    List[str]="silu"   ,						_SCREAMING_SNAKE_CASE      :    Tuple=2048   ,						_SCREAMING_SNAKE_CASE      :    str=0.0_2   ,						_SCREAMING_SNAKE_CASE      :    Union[str, Any]=1E-6   ,						_SCREAMING_SNAKE_CASE      :    List[str]=True   ,						_SCREAMING_SNAKE_CASE      :    str=0   ,						_SCREAMING_SNAKE_CASE      :    str=1   ,						_SCREAMING_SNAKE_CASE      :    Any=2   ,						_SCREAMING_SNAKE_CASE      :    str=1   ,						_SCREAMING_SNAKE_CASE      :    Union[str, Any]=False   ,						_SCREAMING_SNAKE_CASE      :    List[Any]=None   ,						**_SCREAMING_SNAKE_CASE      :    Any   ,						):






           """simple docstring"""




           UpperCamelCase					       =  vocab_size
           UpperCamelCase					       =  max_position_embeddings
           UpperCamelCase					       =  hidden_size
           UpperCamelCase					       =  intermediate_size
           UpperCamelCase					       =  num_hidden_layers
           UpperCamelCase					       =  num_attention_heads

           # for backward compatibility
           if num_key_value_heads is None:
                 UpperCamelCase					       =  num_attention_heads

           UpperCamelCase					       =  num_key_value_heads
           UpperCamelCase					       =  hidden_act
           UpperCamelCase					       =  initializer_range
           UpperCamelCase					       =  rms_norm_eps
           UpperCamelCase					       =  pretraining_tp
           UpperCamelCase					       =  use_cache
           UpperCamelCase					       =  rope_scaling
           self._rope_scaling_validation()

           super().__init__(
               pad_token_id=_SCREAMING_SNAKE_CASE   ,						bos_token_id=_SCREAMING_SNAKE_CASE   ,						eos_token_id=_SCREAMING_SNAKE_CASE   ,						tie_word_embeddings=_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE   ,						)







     def   _SCREAMING_SNAKE_CASE     ( self      :    Tuple ):






           """simple docstring"""




           if self.rope_scaling is None:
                 return

           if not isinstance(self.rope_scaling   ,						_SCREAMING_SNAKE_CASE ) or len(self.rope_scaling ) != 2:
                 raise ValueError(
                     '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
                     f'got {self.rope_scaling}' )
           UpperCamelCase					       =  self.rope_scaling.get('type'   ,						_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  self.rope_scaling.get('factor'   ,						_SCREAMING_SNAKE_CASE )
           if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
                 raise ValueError(
                     f'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}' )
           if rope_scaling_factor is None or not isinstance(_SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE ) or rope_scaling_factor <= 1.0:
                 raise ValueError(f'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}' )











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()



