



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


lowercase							       =			logging.get_logger(__name__)

lowercase							       =			{
    '''facebook/levit-128S''': '''https://huggingface.co/facebook/levit-128S/resolve/main/config.json''',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class 	UpperCAmelCase	(		_snake_case):


 '''simple docstring'''




 __magic_name__					: int  =      "levit"




 def __init__(   self							,  lowerCAmelCase_=2_2_4							,  lowerCAmelCase_=3							,  lowerCAmelCase_=3							,  lowerCAmelCase_=2							,  lowerCAmelCase_=1							,  lowerCAmelCase_=1_6							,  lowerCAmelCase_=[1_2_8, 2_5_6, 3_8_4]							,  lowerCAmelCase_=[4, 8, 1_2]							,  lowerCAmelCase_=[4, 4, 4]							,  lowerCAmelCase_=[1_6, 1_6, 1_6]							,  lowerCAmelCase_=0							,  lowerCAmelCase_=[2, 2, 2]							,  lowerCAmelCase_=[2, 2, 2]							,  lowerCAmelCase_=0.0_2							,  **lowerCAmelCase_							,  ) ->      str:



      """simple docstring"""







      super().__init__(**lowerCAmelCase__)
      a_       		=image_size
      a_       		=num_channels
      a_       		=kernel_size
      a_       		=stride
      a_       		=padding
      a_       		=hidden_sizes
      a_       		=num_attention_heads
      a_       		=depths
      a_       		=key_dim
      a_       		=drop_path_rate
      a_       		=patch_size
      a_       		=attention_ratio
      a_       		=mlp_ratio
      a_       		=initializer_range
      a_       		=[
          ["Subsample", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
          ["Subsample", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
      ]







class 	UpperCAmelCase	(		_snake_case):


 '''simple docstring'''




 __magic_name__					: int  =      version.parse("1.11")




 @property
 def       lowercase_  (   self) ->      Mapping[str, Mapping[int, str]]:



      """simple docstring"""







      return OrderedDict(
          [
              ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
          ])




 @property
 def       lowercase_  (   self) ->      float:



      """simple docstring"""







      return 1e-4







'''simple docstring'''


from __future__ import annotations






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     print(F"""Vertex\tShortest Distance from vertex {src}"""       )
     for i, d in enumerate(lowercase__       ):
          print(F"""{i}\t\t{d}"""       )






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     for j in range(lowercase__       ):
          a_		,						a_		,						a_       		=(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  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=[float("inf"       )] * vertex_count
     a_       		=0.0

     for _ in range(vertex_count - 1       ):
          for j in range(lowercase__       ):
               a_		,						a_		,						a_       		=(graph[j][k] for k in ["src", "dst", "weight"])

               if distance[u] != float("inf"       ) and distance[u] + w < distance[v]:
                    a_       		=distance[u] + w

     a_       		=check_negative_cycle(lowercase__       ,	lowercase__       ,	lowercase__       )
     if negative_cycle_exists:
          raise Exception("Negative cycle found"       )

     return distance


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  lowercase							       =			int(input('''Enter number of vertices: ''').strip())
  lowercase							       =			int(input('''Enter number of edges: ''').strip())

  lowercase							       =			[{} for _ in range(E)]

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

  lowercase							       =			int(input('''\nEnter shortest path source:''').strip())
  lowercase							       =			bellman_ford(graph, V, E, source)
  print_distance(shortest_distance, 0)


