


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


lowerCamelCase__							:						Union[str, Any]							     =   logging.get_logger(__name__)

lowerCamelCase__							:						Optional[int]							     =   {
    """microsoft/trocr-base-handwritten""": (
        """https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"""
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}
class 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     __lowercase				:							Union[str, Any]	   =       'trocr'
     __lowercase				:							Optional[Any]	   =       ['past_key_values']
     __lowercase				:							Union[str, Any]	   =       {
         'num_attention_heads': 'decoder_attention_heads',
         'hidden_size': 'd_model',
         'num_hidden_layers': 'decoder_layers',
     }

     def __init__(					self:Optional[Any]     ,		_a:Optional[int]=5_02_65     ,		_a:List[Any]=10_24     ,		_a:Union[str, Any]=12     ,		_a:Any=16     ,		_a:int=40_96     ,		_a:int="gelu"     ,		_a:Union[str, Any]=5_12     ,		_a:str=0.1     ,		_a:Dict=0.0     ,		_a:int=0.0     ,		_a:int=2     ,		_a:Union[str, Any]=0.02     ,		_a:List[Any]=0.0     ,		_a:Any=True     ,		_a:Optional[Any]=False     ,		_a:Union[str, Any]=True     ,		_a:List[Any]=True     ,		_a:Any=1     ,		_a:str=0     ,		_a:Optional[int]=2     ,		**_a:int     ,		):
       snake_case__						= vocab_size
       snake_case__						= d_model
       snake_case__						= decoder_layers
       snake_case__						= decoder_attention_heads
       snake_case__						= decoder_ffn_dim
       snake_case__						= activation_function
       snake_case__						= max_position_embeddings
       snake_case__						= dropout
       snake_case__						= attention_dropout
       snake_case__						= activation_dropout
       snake_case__						= init_std
       snake_case__						= decoder_layerdrop
       snake_case__						= use_cache
       snake_case__						= scale_embedding
       snake_case__						= use_learned_position_embeddings
       snake_case__						= layernorm_embedding

       super().__init__(
           pad_token_id=_a     ,		bos_token_id=_a     ,		eos_token_id=_a     ,		decoder_start_token_id=_a     ,		**_a     ,		)





import os
from datetime import datetime as dt

from github import Github


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







def SCREAMING_SNAKE_CASE	(			)    ->				Optional[Any]:
  snake_case__						= Github(os.environ['''GITHUB_TOKEN''']				)
  snake_case__						= g.get_repo('''huggingface/diffusers'''				)
  snake_case__						= repo.get_issues(state='''open'''				)

  for issue in open_issues:
    snake_case__						= sorted(issue.get_comments()							,   key=lambda __lowerCAmelCase				: i.created_at							,   reverse=__lowerCAmelCase				)
    snake_case__						= comments[0] if len(__lowerCAmelCase				) > 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()

