


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


snake_case							:	Dict					      =				logging.get_logger(__name__)

snake_case							:	List[Any]					      =				{
    '''microsoft/beit-base-patch16-224-pt22k''': (
        '''https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'''
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}







class 	snake_case_       (a__				):
					UpperCAmelCase__ :   List[Any]   				=      '''beit'''
					def __init__(				self       :Any      ,__snake_case       :Optional[Any]=81_92      ,__snake_case       :str=7_68      ,__snake_case       :Tuple=12      ,__snake_case       :Dict=12      ,__snake_case       :Any=30_72      ,__snake_case       :Optional[Any]="gelu"      ,__snake_case       :List[str]=0.0      ,__snake_case       :Optional[int]=0.0      ,__snake_case       :str=0.02      ,__snake_case       :Any=1E-12      ,__snake_case       :Any=2_24      ,__snake_case       :Tuple=16      ,__snake_case       :List[str]=3      ,__snake_case       :List[Any]=False      ,__snake_case       :Union[str, Any]=False      ,__snake_case       :int=False      ,__snake_case       :Dict=False      ,__snake_case       :Tuple=0.1      ,__snake_case       :List[str]=0.1      ,__snake_case       :Optional[int]=True      ,__snake_case       :List[Any]=[3, 5, 7, 11]      ,__snake_case       :List[Any]=[1, 2, 3, 6]      ,__snake_case       :List[str]=True      ,__snake_case       :List[Any]=0.4      ,__snake_case       :Union[str, Any]=2_56      ,__snake_case       :str=1      ,__snake_case       :List[str]=False      ,__snake_case       :str=2_55      ,**__snake_case       :Optional[Any]      ,) ->   Union[str, Any]:
												super().__init__(**__snake_case				)

												a__					=					vocab_size
												a__					=					hidden_size
												a__					=					num_hidden_layers
												a__					=					num_attention_heads
												a__					=					intermediate_size
												a__					=					hidden_act
												a__					=					hidden_dropout_prob
												a__					=					attention_probs_dropout_prob
												a__					=					initializer_range
												a__					=					layer_norm_eps

												a__					=					image_size
												a__					=					patch_size
												a__					=					num_channels
												a__					=					use_mask_token
												a__					=					use_absolute_position_embeddings
												a__					=					use_relative_position_bias
												a__					=					use_shared_relative_position_bias
												a__					=					layer_scale_init_value
												a__					=					drop_path_rate
												a__					=					use_mean_pooling
												# decode head attributes (semantic segmentation)
												a__					=					out_indices
												a__					=					pool_scales
												# auxiliary head attributes (semantic segmentation)
												a__					=					use_auxiliary_head
												a__					=					auxiliary_loss_weight
												a__					=					auxiliary_channels
												a__					=					auxiliary_num_convs
												a__					=					auxiliary_concat_input
												a__					=					semantic_loss_ignore_index







class 	snake_case_       (a__				):
					UpperCAmelCase__ :   Any   				=      version.parse('''1.11'''				)
					@property
					def 			lowerCamelCase__(				self       :Any				) ->   Optional[Any]:
												return OrderedDict(
												    [
												        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
												    ]				)



					@property
					def 			lowerCamelCase__(				self       :List[Any]				) ->   Any:
												return 1E-4








def 							__lowercase       (			__lowerCAmelCase							:    Optional[Any]       ):
							return [
							    {
							        0: [1, 2],
							        1: [0, 2],
							        2: [0, 1, 3, 5],
							        3: [2, 4],
							        4: [3],
							        5: [2, 6, 8],
							        6: [5, 7],
							        7: [6, 8],
							        8: [5, 7],
							    },
							    {
							        0: [6],
							        1: [9],
							        2: [4, 5],
							        3: [4],
							        4: [2, 3],
							        5: [2],
							        6: [0, 7],
							        7: [6],
							        8: [],
							        9: [1],
							    },
							    {
							        0: [4],
							        1: [6],
							        2: [],
							        3: [5, 6, 7],
							        4: [0, 6],
							        5: [3, 8, 9],
							        6: [1, 3, 4, 7],
							        7: [3, 6, 8, 9],
							        8: [5, 7],
							        9: [5, 7],
							    },
							    {
							        0: [1, 3],
							        1: [0, 2, 4],
							        2: [1, 3, 4],
							        3: [0, 2, 4],
							        4: [1, 2, 3],
							    },
							][index]






def 							__lowercase       (			__lowerCAmelCase							:    dict[int, list[int]]       ):
							a__					=					0
							a__					=					len(__lowerCAmelCase       )  # No of vertices in graph
							a__					=					[0] * n
							a__					=					[False] * n

							def dfs(__lowerCAmelCase							:    int ,   __lowerCAmelCase							:    Any ,   __lowerCAmelCase							:    Dict ,   __lowerCAmelCase							:    Tuple       ):
														a__					=					True
														a__					=					id_
														id_ += 1
														for to in graph[at]:
																					if to == parent:
																												pass
																					elif not visited[to]:
																												dfs(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase ,   id_       )
																												a__					=					min(low[at] ,   low[to]       )
																												if id_ <= low[to]:
																																			bridges.append((at, to) if at < to else (to, at)       )
																					else:
																												# This edge is a back edge and cannot be a bridge
																												a__					=					min(low[at] ,   low[to]       )

							a__					=					[]
							for i in range(__lowerCAmelCase       ):
														if not visited[i]:
																					dfs(__lowerCAmelCase ,   -1 ,   __lowerCAmelCase ,   id_       )
							return bridges


if __name__ == "__main__":
						import doctest

						doctest.testmod()




