


'''simple docstring'''

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


a_  :				Optional[int]						= logging.get_logger(__name__)

a_  :				List[Any]						= {
    """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      snake_case    (    lowercase			):





  """simple docstring"""




  _lowerCamelCase		    =  "glpn"






  def __init__(    self			,  UpperCamelCase=3			,  UpperCamelCase=4			,  UpperCamelCase=[2, 2, 2, 2]			,  UpperCamelCase=[8, 4, 2, 1]			,  UpperCamelCase=[32, 64, 160, 256]			,  UpperCamelCase=[7, 3, 3, 3]			,  UpperCamelCase=[4, 2, 2, 2]			,  UpperCamelCase=[1, 2, 5, 8]			,  UpperCamelCase=[4, 4, 4, 4]			,  UpperCamelCase="gelu"			,  UpperCamelCase=0.0			,  UpperCamelCase=0.0			,  UpperCamelCase=0.02			,  UpperCamelCase=0.1			,  UpperCamelCase=1e-6			,  UpperCamelCase=64			,  UpperCamelCase=10			,  UpperCamelCase=-1			,  **UpperCamelCase			,  ):







   """simple docstring"""
   super().__init__(**UpperCamelCase     )

   lowerCamelCase_      =  num_channels
   lowerCamelCase_      =  num_encoder_blocks
   lowerCamelCase_      =  depths
   lowerCamelCase_      =  sr_ratios
   lowerCamelCase_      =  hidden_sizes
   lowerCamelCase_      =  patch_sizes
   lowerCamelCase_      =  strides
   lowerCamelCase_      =  mlp_ratios
   lowerCamelCase_      =  num_attention_heads
   lowerCamelCase_      =  hidden_act
   lowerCamelCase_      =  hidden_dropout_prob
   lowerCamelCase_      =  attention_probs_dropout_prob
   lowerCamelCase_      =  initializer_range
   lowerCamelCase_      =  drop_path_rate
   lowerCamelCase_      =  layer_norm_eps
   lowerCamelCase_      =  decoder_hidden_size
   lowerCamelCase_      =  max_depth
   lowerCamelCase_      =  head_in_index








'''simple docstring'''


import math

class  SCREAMING_SNAKE_CASE :






    """simple docstring"""





    def __init__(  self      :					Union[str, Any]  ,						UpperCamelCase__      :					Optional[Any]=0 ):  # a graph with Node 0,1,...,N-1


       """simple docstring"""







       UpperCamelCase					=  n
       UpperCamelCase					=  [
           [math.inf for j in range(0  ,						UpperCamelCase__ )] for i in range(0  ,						UpperCamelCase__ )
       ]  # adjacency matrix for weight
       UpperCamelCase					=  [
           [math.inf for j in range(0  ,						UpperCamelCase__ )] for i in range(0  ,						UpperCamelCase__ )
       ]  # dp[i][j] stores minimum distance from i to j






    def  A       (  self      :					Optional[Any]  ,						UpperCamelCase__      :					Union[str, Any]  ,						UpperCamelCase__      :					Union[str, Any]  ,						UpperCamelCase__      :					Tuple ):


       """simple docstring"""







       UpperCamelCase					=  w






    def  A       (  self      :					str ):


       """simple docstring"""







       for k in range(0  ,						self.n ):
          for i in range(0  ,						self.n ):
             for j in range(0  ,						self.n ):
                UpperCamelCase					=  min(self.dp[i][j]  ,						self.dp[i][k] + self.dp[k][j] )






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


       """simple docstring"""







       return self.dp[u][v]


if __name__ == "__main__":
   _lowerCamelCase	:       List[str]      	=	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)

