





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


UpperCamelCase__  			=logging.get_logger(__name__)

UpperCamelCase__  			={
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}





class       lowerCAmelCase__(			snake_case_     ):






       '''simple docstring'''


       __snake_case			      =     '''vit_mae'''




       def __init__(   self     ,    __lowerCamelCase=7_6_8     ,    __lowerCamelCase=1_2     ,    __lowerCamelCase=1_2     ,    __lowerCamelCase=3_0_7_2     ,    __lowerCamelCase="gelu"     ,    __lowerCamelCase=0.0     ,    __lowerCamelCase=0.0     ,    __lowerCamelCase=0.02     ,    __lowerCamelCase=1E-12     ,    __lowerCamelCase=2_2_4     ,    __lowerCamelCase=1_6     ,    __lowerCamelCase=3     ,    __lowerCamelCase=True     ,    __lowerCamelCase=1_6     ,    __lowerCamelCase=5_1_2     ,    __lowerCamelCase=8     ,    __lowerCamelCase=2_0_4_8     ,    __lowerCamelCase=0.75     ,    __lowerCamelCase=False     ,    **__lowerCamelCase     ,    )      ->  str:
            super().__init__(**__snake_case				)

            _SCREAMING_SNAKE_CASE							:						List[str]         =				hidden_size
            _SCREAMING_SNAKE_CASE							:						int         =				num_hidden_layers
            _SCREAMING_SNAKE_CASE							:						Dict         =				num_attention_heads
            _SCREAMING_SNAKE_CASE							:						List[str]         =				intermediate_size
            _SCREAMING_SNAKE_CASE							:						List[Any]         =				hidden_act
            _SCREAMING_SNAKE_CASE							:						Optional[int]         =				hidden_dropout_prob
            _SCREAMING_SNAKE_CASE							:						str         =				attention_probs_dropout_prob
            _SCREAMING_SNAKE_CASE							:						Dict         =				initializer_range
            _SCREAMING_SNAKE_CASE							:						List[str]         =				layer_norm_eps
            _SCREAMING_SNAKE_CASE							:						int         =				image_size
            _SCREAMING_SNAKE_CASE							:						Tuple         =				patch_size
            _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				num_channels
            _SCREAMING_SNAKE_CASE							:						int         =				qkv_bias
            _SCREAMING_SNAKE_CASE							:						Optional[int]         =				decoder_num_attention_heads
            _SCREAMING_SNAKE_CASE							:						str         =				decoder_hidden_size
            _SCREAMING_SNAKE_CASE							:						int         =				decoder_num_hidden_layers
            _SCREAMING_SNAKE_CASE							:						Any         =				decoder_intermediate_size
            _SCREAMING_SNAKE_CASE							:						Tuple         =				mask_ratio
            _SCREAMING_SNAKE_CASE							:						Optional[int]         =				norm_pix_loss






'''simple docstring'''






from datetime import datetime as dt
import os

from github import Github


A__							:  str    =[
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]
def   UpperCamelCase__ (						):





      """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 lowerCAmelCase    : i.created_at				,      reverse=lowerCAmelCase    )
            _lowerCAmelCase					=				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()    )
            ):
                  # 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()






