
"""simple docstring"""




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


UpperCAmelCase__      :    Tuple    							= logging.get_logger(__name__)

UpperCAmelCase__      :    Union[str, Any]    							= {
    '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_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						List[Any]					       =   '''vit_mae'''



				def __init__(self   ,       SCREAMING_SNAKE_CASE__=7_68   ,       SCREAMING_SNAKE_CASE__=12   ,       SCREAMING_SNAKE_CASE__=12   ,       SCREAMING_SNAKE_CASE__=30_72   ,       SCREAMING_SNAKE_CASE__="gelu"   ,       SCREAMING_SNAKE_CASE__=0.0   ,       SCREAMING_SNAKE_CASE__=0.0   ,       SCREAMING_SNAKE_CASE__=0.02   ,       SCREAMING_SNAKE_CASE__=1E-12   ,       SCREAMING_SNAKE_CASE__=2_24   ,       SCREAMING_SNAKE_CASE__=16   ,       SCREAMING_SNAKE_CASE__=3   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=16   ,       SCREAMING_SNAKE_CASE__=5_12   ,       SCREAMING_SNAKE_CASE__=8   ,       SCREAMING_SNAKE_CASE__=20_48   ,       SCREAMING_SNAKE_CASE__=0.75   ,       SCREAMING_SNAKE_CASE__=False   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		Tuple:



											"""simple docstring"""




											super().__init__(**SCREAMING_SNAKE_CASE__    )

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






def 						UpperCAmelCase			(	a_						)		->	Optional[int]:







				"""simple docstring"""



				__A   			= [0] * len(a_						)
				__A   			= []
				__A   			= [1] * len(a_						)

				for values in graph.values():
								for i in values:
												indegree[i] += 1

				for i in range(len(a_						)						):
								if indegree[i] == 0:
												queue.append(a_						)

				while queue:
								__A   			= queue.pop(0						)
								for x in graph[vertex]:
												indegree[x] -= 1

												if long_dist[vertex] + 1 > long_dist[x]:
																__A   			= long_dist[vertex] + 1

												if indegree[x] == 0:
																queue.append(a_						)

				print(max(a_						)						)


# Adjacency list of Graph
SCREAMING_SNAKE_CASE							:List[Any]							 =				{0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}
longest_distance(graph)
