





'''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


a__			:					Dict       						=						logging.get_logger(__name__)

a__			:					Tuple       						=						{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class     lowerCAmelCase__ (				UpperCAmelCase_    ):

       '''simple docstring'''
       _lowerCamelCase								="yolos"

       def __init__( self					:				Any       ,     a__					:				List[Any]=768       ,     a__					:				str=12       ,     a__					:				Tuple=12       ,     a__					:				Union[str, Any]=3072       ,     a__					:				int="gelu"       ,     a__					:				Tuple=0.0       ,     a__					:				Dict=0.0       ,     a__					:				Dict=0.02       ,     a__					:				Tuple=1e-1_2       ,     a__					:				str=[512, 864]       ,     a__					:				List[Any]=16       ,     a__					:				Dict=3       ,     a__					:				str=True       ,     a__					:				Union[str, Any]=100       ,     a__					:				Tuple=True       ,     a__					:				List[str]=False       ,     a__					:				Optional[Any]=1       ,     a__					:				Dict=5       ,     a__					:				int=2       ,     a__					:				str=5       ,     a__					:				Tuple=2       ,     a__					:				Tuple=0.1       ,     **a__					:				Optional[int]       ,     ):
              super().__init__(**a__						)

              UpperCAmelCase  =						hidden_size
              UpperCAmelCase  =						num_hidden_layers
              UpperCAmelCase  =						num_attention_heads
              UpperCAmelCase  =						intermediate_size
              UpperCAmelCase  =						hidden_act
              UpperCAmelCase  =						hidden_dropout_prob
              UpperCAmelCase  =						attention_probs_dropout_prob
              UpperCAmelCase  =						initializer_range
              UpperCAmelCase  =						layer_norm_eps
              UpperCAmelCase  =						image_size
              UpperCAmelCase  =						patch_size
              UpperCAmelCase  =						num_channels
              UpperCAmelCase  =						qkv_bias
              UpperCAmelCase  =						num_detection_tokens
              UpperCAmelCase  =						use_mid_position_embeddings
              UpperCAmelCase  =						auxiliary_loss
              # Hungarian matcher
              UpperCAmelCase  =						class_cost
              UpperCAmelCase  =						bbox_cost
              UpperCAmelCase  =						giou_cost
              # Loss coefficients
              UpperCAmelCase  =						bbox_loss_coefficient
              UpperCAmelCase  =						giou_loss_coefficient
              UpperCAmelCase  =						eos_coefficient






class     lowerCAmelCase__ (				UpperCAmelCase_    ):

       '''simple docstring'''
       _lowerCamelCase								=version.parse("1.11"    )

       @property
       def 			__snake_case      ( self					:				str						):
              return OrderedDict(
                  [
                      ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                  ]						)

       @property
       def 			__snake_case      ( self					:				List[str]						):
              return 1e-4



       @property
       def 			__snake_case      ( self					:				Union[str, Any]						):
              return 12










from __future__ import annotations

def   __lowercase       (			snake_case,	snake_case			):







				"""simple docstring"""






				print(f'''Vertex\tShortest Distance from vertex {src}'''			)
				for i, d in enumerate(snake_case			):
								print(f'''{i}\t\t{d}'''			)

def   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				for j in range(snake_case			):
								__magic_name__  ,					__magic_name__  ,					__magic_name__		:Tuple   =   (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])
								if distance[u] != float('''inf'''			) and distance[u] + w < distance[v]:
												return True
				return False

def   __lowercase       (			snake_case,	snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:List[Any]   =   [float('''inf'''			)] * vertex_count
				__magic_name__		:Tuple   =   0.0

				for _ in range(vertex_count - 1			):
								for j in range(snake_case			):
												__magic_name__  ,					__magic_name__  ,					__magic_name__		:Dict   =   (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])

												if distance[u] != float('''inf'''			) and distance[u] + w < distance[v]:
																__magic_name__		:Tuple   =   distance[u] + w

				__magic_name__		:Tuple   =   check_negative_cycle(snake_case,	snake_case,	snake_case			)
				if negative_cycle_exists:
								raise Exception('''Negative cycle found'''			)

				return distance


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					SCREAMING_SNAKE_CASE__   :      Tuple				=		int(input("""Enter number of vertices: """).strip())
					SCREAMING_SNAKE_CASE__   :      Any				=		int(input("""Enter number of edges: """).strip())

					SCREAMING_SNAKE_CASE__   :      list[dict[str, int]]				=		[{} for _ in range(E)]

					for i in range(E):
										print("""Edge """, i + 1)
										SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__   :      Dict				=		(
										    int(x)
										    for x in input("""Enter source, destination, weight: """).strip().split(""" """)
										)
										SCREAMING_SNAKE_CASE__   :      Dict				=		{"""src""": src, """dst""": dest, """weight""": weight}

					SCREAMING_SNAKE_CASE__   :      List[Any]				=		int(input("""\nEnter shortest path source:""").strip())
					SCREAMING_SNAKE_CASE__   :      List[str]				=		bellman_ford(graph, V, E, source)
					print_distance(shortest_distance, 0)






