


'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__A		=logging.get_logger(__name__)

__A		={
    'microsoft/table-transformer-detection': (
        'https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'
    ),
}


class 						_snake_case   (       a__		):
					lowerCAmelCase :Dict						=   '''table-transformer'''
					lowerCAmelCase :Any						=   ['''past_key_values''']
					lowerCAmelCase :Dict						=   {
					    '''hidden_size''': '''d_model''',
					    '''num_attention_heads''': '''encoder_attention_heads''',
					}




					def __init__( self							,							_lowerCamelCase=True							,							_lowerCamelCase=None							,							_lowerCamelCase=3							,							_lowerCamelCase=100							,							_lowerCamelCase=6							,							_lowerCamelCase=2048							,							_lowerCamelCase=8							,							_lowerCamelCase=6							,							_lowerCamelCase=2048							,							_lowerCamelCase=8							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.0							,							_lowerCamelCase=True							,							_lowerCamelCase="relu"							,							_lowerCamelCase=256							,							_lowerCamelCase=0.1							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.0							,							_lowerCamelCase=0.02							,							_lowerCamelCase=1.0							,							_lowerCamelCase=False							,							_lowerCamelCase="sine"							,							_lowerCamelCase="resnet50"							,							_lowerCamelCase=True							,							_lowerCamelCase=False							,							_lowerCamelCase=1							,							_lowerCamelCase=5							,							_lowerCamelCase=2							,							_lowerCamelCase=1							,							_lowerCamelCase=1							,							_lowerCamelCase=5							,							_lowerCamelCase=2							,							_lowerCamelCase=0.1							,							**_lowerCamelCase							,							):
								if backbone_config is not None and use_timm_backbone:
											raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`.""")

								if not use_timm_backbone:
											if backbone_config is None:
														logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.""")
														UpperCAmelCase__					:   Optional[int]       				=       CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""])
											elif isinstance(_lowerCamelCase							,							_lowerCamelCase):
														UpperCAmelCase__					:   Optional[Any]       				=       backbone_config.get("""model_type""")
														UpperCAmelCase__					:   List[str]       				=       CONFIG_MAPPING[backbone_model_type]
														UpperCAmelCase__					:   str       				=       config_class.from_dict(_lowerCamelCase)
											# set timm attributes to None
											UpperCAmelCase__				,    UpperCAmelCase__				,    UpperCAmelCase__					:   Any       				=       None, None, None

								UpperCAmelCase__					:   str       				=       use_timm_backbone
								UpperCAmelCase__					:   Optional[Any]       				=       backbone_config
								UpperCAmelCase__					:   List[str]       				=       num_channels
								UpperCAmelCase__					:   Optional[int]       				=       num_queries
								UpperCAmelCase__					:   Union[str, Any]       				=       d_model
								UpperCAmelCase__					:   int       				=       encoder_ffn_dim
								UpperCAmelCase__					:   List[Any]       				=       encoder_layers
								UpperCAmelCase__					:   Union[str, Any]       				=       encoder_attention_heads
								UpperCAmelCase__					:   int       				=       decoder_ffn_dim
								UpperCAmelCase__					:   List[str]       				=       decoder_layers
								UpperCAmelCase__					:   Optional[int]       				=       decoder_attention_heads
								UpperCAmelCase__					:   Union[str, Any]       				=       dropout
								UpperCAmelCase__					:   Union[str, Any]       				=       attention_dropout
								UpperCAmelCase__					:   str       				=       activation_dropout
								UpperCAmelCase__					:   List[Any]       				=       activation_function
								UpperCAmelCase__					:   Optional[int]       				=       init_std
								UpperCAmelCase__					:   Optional[int]       				=       init_xavier_std
								UpperCAmelCase__					:   Tuple       				=       encoder_layerdrop
								UpperCAmelCase__					:   Optional[Any]       				=       decoder_layerdrop
								UpperCAmelCase__					:   Tuple       				=       encoder_layers
								UpperCAmelCase__					:   Optional[Any]       				=       auxiliary_loss
								UpperCAmelCase__					:   Tuple       				=       position_embedding_type
								UpperCAmelCase__					:   List[Any]       				=       backbone
								UpperCAmelCase__					:   Dict       				=       use_pretrained_backbone
								UpperCAmelCase__					:   Optional[int]       				=       dilation
								# Hungarian matcher
								UpperCAmelCase__					:   List[Any]       				=       class_cost
								UpperCAmelCase__					:   List[str]       				=       bbox_cost
								UpperCAmelCase__					:   Any       				=       giou_cost
								# Loss coefficients
								UpperCAmelCase__					:   int       				=       mask_loss_coefficient
								UpperCAmelCase__					:   List[Any]       				=       dice_loss_coefficient
								UpperCAmelCase__					:   Any       				=       bbox_loss_coefficient
								UpperCAmelCase__					:   str       				=       giou_loss_coefficient
								UpperCAmelCase__					:   int       				=       eos_coefficient
								super().__init__(is_encoder_decoder=_lowerCamelCase							,							**_lowerCamelCase)




					@property
					def 			snake_case__  ( self):
								return self.encoder_attention_heads




					@property
					def 			snake_case__  ( self):
								return self.d_model


class 						_snake_case   (       a__		):
					lowerCAmelCase :str						=   version.parse('''1.11'''		)




					@property
					def 			snake_case__  ( self):
								return OrderedDict(
								    [
								        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
								        ("""pixel_mask""", {0: """batch"""}),
								    ])




					@property
					def 			snake_case__  ( self):
								return 1e-5




					@property
					def 			snake_case__  ( self):
								return 12



'''simple docstring'''



import os
from datetime import datetime as dt

from github import Github


__A		=[
    'good first issue',
    'good second issue',
    'good difficult issue',
    'enhancement',
    'new pipeline/model',
    'new scheduler',
    'wip',
]







def       _UpperCamelCase (						):
			UpperCAmelCase__					:   Union[str, Any]       				=       Github(os.environ["""GITHUB_TOKEN"""]   )
			UpperCAmelCase__					:   Any       				=       g.get_repo("""huggingface/diffusers"""   )
			UpperCAmelCase__					:   Optional[int]       				=       repo.get_issues(state="""open"""   )

			for issue in open_issues:
						UpperCAmelCase__					:   Any       				=       sorted(issue.get_comments()	, key=lambda UpperCamelCase__   : i.created_at	, reverse=UpperCamelCase__   )
						UpperCAmelCase__					:   List[Any]       				=       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 >= 3_0
						    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 > 2_3
						    and (dt.utcnow() - issue.created_at).days >= 3_0
						    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()