
'''simple docstring'''






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


UpperCAmelCase_							: str =							logging.get_logger(__name__)

UpperCAmelCase_							: str =							{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}

class 			UpperCAmelCase__    (							A			):
    lowerCAmelCase_					     =		'glpn'



    def __init__(						self   :							Tuple,__A   :							Optional[int]=3,__A   :							Optional[int]=4,__A   :							str=[2, 2, 2, 2],__A   :							Union[str, Any]=[8, 4, 2, 1],__A   :							Tuple=[3_2, 6_4, 1_6_0, 2_5_6],__A   :							int=[7, 3, 3, 3],__A   :							str=[4, 2, 2, 2],__A   :							int=[1, 2, 5, 8],__A   :							List[Any]=[4, 4, 4, 4],__A   :							Optional[int]="gelu",__A   :							int=0.0,__A   :							Tuple=0.0,__A   :							Tuple=0.02,__A   :							Optional[int]=0.1,__A   :							Optional[int]=1e-6,__A   :							Optional[int]=6_4,__A   :							Optional[Any]=1_0,__A   :							Tuple=-1,**__A   :							List[str],):
          super().__init__(**__A  )

          _lowerCamelCase					: Tuple		    = num_channels
          _lowerCamelCase					: Union[str, Any]		    = num_encoder_blocks
          _lowerCamelCase					: Dict		    = depths
          _lowerCamelCase					: List[Any]		    = sr_ratios
          _lowerCamelCase					: str		    = hidden_sizes
          _lowerCamelCase					: Any		    = patch_sizes
          _lowerCamelCase					: Any		    = strides
          _lowerCamelCase					: Dict		    = mlp_ratios
          _lowerCamelCase					: int		    = num_attention_heads
          _lowerCamelCase					: List[Any]		    = hidden_act
          _lowerCamelCase					: str		    = hidden_dropout_prob
          _lowerCamelCase					: List[Any]		    = attention_probs_dropout_prob
          _lowerCamelCase					: Optional[int]		    = initializer_range
          _lowerCamelCase					: Union[str, Any]		    = drop_path_rate
          _lowerCamelCase					: str		    = layer_norm_eps
          _lowerCamelCase					: Tuple		    = decoder_hidden_size
          _lowerCamelCase					: int		    = max_depth
          _lowerCamelCase					: Dict		    = head_in_index


import math






class      lowerCamelCase_      :




	def __init__(     self						:     Union[str, Any]					,      __A						:     List[str]=0							):  # a graph with Node 0,1,...,N-1
		__A :			List[str]		    =			n
		__A :			List[str]		    =			[
		    [math.inf for j in range(0					,      __A							)] for i in range(0					,      __A							)
		]  # adjacency matrix for weight
		__A :			str		    =			[
		    [math.inf for j in range(0					,      __A							)] for i in range(0					,      __A							)
		]  # dp[i][j] stores minimum distance from i to j




	def        lowerCAmelCase_       (     self						:     str					,      __A						:     Union[str, Any]					,      __A						:     Any					,      __A						:     Optional[int]							):
		__A :			List[Any]		    =			w




	def        lowerCAmelCase_       (     self						:     Union[str, Any]							):
		for k in range(0					,      self.n							):
			for i in range(0					,      self.n							):
				for j in range(0					,      self.n							):
					__A :			List[Any]		    =			min(self.dp[i][j]					,      self.dp[i][k] + self.dp[k][j]							)




	def        lowerCAmelCase_       (     self						:     int					,      __A						:     List[str]					,      __A						:     List[str]							):
		return self.dp[u][v]


if __name__ == "__main__":
			UpperCAmelCase_							:					Tuple		 =   Graph(5)
			graph.add_edge(0, 2, 9)
			graph.add_edge(0, 4, 10)
			graph.add_edge(1, 3, 5)
			graph.add_edge(2, 3, 7)
			graph.add_edge(3, 0, 10)
			graph.add_edge(3, 1, 2)
			graph.add_edge(3, 2, 1)
			graph.add_edge(3, 4, 6)
			graph.add_edge(4, 1, 3)
			graph.add_edge(4, 2, 4)
			graph.add_edge(4, 3, 9)
			graph.floyd_warshall()
			graph.show_min(1, 4)
			graph.show_min(0, 3)





