
'''simple docstring'''





def  a_	( __lowercase     :			List[Any] ,      __lowercase     :			Union[str, Any]				)				->						List[str]:
			print('\nVertex Distance'				)
			for i in range(__lowercase				):
						if dist[i] != float('inf'				):
									print(__lowercase ,      '\t' ,      int(dist[i]				) ,      end='\t'				)
						else:
									print(__lowercase ,      '\t' ,      'INF' ,      end='\t'				)
						print()






def  a_	( __lowercase     :			Any ,      __lowercase     :			Any ,      __lowercase     :			str				)				->						List[str]:
			_snake_case						=    float('inf'				)
			_snake_case						=    -1
			for i in range(__lowercase				):
						if (not vset[i]) and mdist[i] < min_val:
									_snake_case						=    i
									_snake_case						=    mdist[i]
			return min_ind






def  a_	( __lowercase     :			Tuple ,      __lowercase     :			Optional[Any] ,      __lowercase     :			str				)				->						List[str]:
			_snake_case						=    [float('inf'				) for _ in range(__lowercase				)]
			_snake_case						=    [False for _ in range(__lowercase				)]
			_snake_case						=    0.0

			for _ in range(v - 1				):
						_snake_case						=    min_dist(__lowercase ,      __lowercase ,      __lowercase				)
						_snake_case						=    True

						for i in range(__lowercase				):
									if (
									    (not vset[i])
									    and graph[u][i] != float('inf'				)
									    and mdist[u] + graph[u][i] < mdist[i]
									):
												_snake_case						=    mdist[u] + graph[u][i]

			print_dist(__lowercase ,      __lowercase				)


if __name__ == "__main__":
			_lowerCamelCase :       Tuple     					=    int(input('''Enter number of vertices: ''').strip())
			_lowerCamelCase :       Union[str, Any]     					=    int(input('''Enter number of edges: ''').strip())

			_lowerCamelCase :       str     					=    [[float('''inf''') for i in range(V)] for j in range(V)]

			for i in range(V):
						_lowerCamelCase :       Tuple     					=    0.0

			for i in range(E):
						print('''\nEdge ''', i + 1)
						_lowerCamelCase :       Optional[int]     					=    int(input('''Enter source:''').strip())
						_lowerCamelCase :       Union[str, Any]     					=    int(input('''Enter destination:''').strip())
						_lowerCamelCase :       Any     					=    float(input('''Enter weight:''').strip())
						_lowerCamelCase :       Dict     					=    weight

			_lowerCamelCase :       Any     					=    int(input('''\nEnter shortest path source:''').strip())
			dijkstra(graph, V, gsrc)

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	int					     =      ["image_processor", "tokenizer"]
	_UpperCAmelCase :	Tuple					     =      "EfficientNetImageProcessor"
	_UpperCAmelCase :	Optional[Any]					     =      ("BertTokenizer", "BertTokenizerFast")



	def __init__(						self			:					Tuple    ,						lowercase			:					List[Any]    ,						lowercase			:					Optional[int]			):


				'''simple docstring'''


				super().__init__(lowercase    ,						lowercase			)



	def __call__(						self			:					Union[str, Any]    ,						lowercase			:					Dict=None    ,						lowercase			:					Optional[int]=None    ,						lowercase			:					List[Any]="max_length"    ,						lowercase			:					Optional[int]=64    ,						lowercase			:					int=None    ,						**lowercase			:					Tuple			):


				'''simple docstring'''


				if text is None and images is None:
							raise ValueError('You have to specify either text or images. Both cannot be none.'			)

				if text is not None:
							_snake_case						=    self.tokenizer(
							    lowercase    ,						padding=lowercase    ,						max_length=lowercase    ,						return_tensors=lowercase    ,						**lowercase			)

				if images is not None:
							_snake_case						=    self.image_processor(lowercase    ,						return_tensors=lowercase    ,						**lowercase			)

				if text is not None and images is not None:
							_snake_case						=    image_features.pixel_values
							return encoding
				elif text is not None:
							return encoding
				else:
							return BatchEncoding(data=dict(**lowercase			)    ,						tensor_type=lowercase			)



	def 				A							(						self			:					Any    ,						*lowercase			:					List[str]    ,						**lowercase			:					Optional[Any]			):


				'''simple docstring'''


				return self.tokenizer.batch_decode(*lowercase    ,						**lowercase			)



	def 				A							(						self			:					List[Any]    ,						*lowercase			:					Union[str, Any]    ,						**lowercase			:					Tuple			):


				'''simple docstring'''


				return self.tokenizer.decode(*lowercase    ,						**lowercase			)





	@property
	def 				A							(						self			:					List[str]			):


				'''simple docstring'''


				_snake_case						=    self.tokenizer.model_input_names
				_snake_case						=    self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)