






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


__UpperCAmelCase								=						logging.get_logger(__name__)

__UpperCAmelCase								=						{'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}



class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Optional[int]       						=  '''ctrl'''
		_snake_case    :    Tuple       						=  ['''past_key_values''']
		_snake_case    :    Tuple       						=  {
		    '''max_position_embeddings''': '''n_positions''',
		    '''hidden_size''': '''n_embd''',
		    '''num_attention_heads''': '''n_head''',
		    '''num_hidden_layers''': '''n_layer''',
		}



		def __init__(							self				,		_UpperCamelCase=2_4_6_5_3_4				,		_UpperCamelCase=2_5_6				,		_UpperCamelCase=1_2_8_0				,		_UpperCamelCase=8_1_9_2				,		_UpperCamelCase=4_8				,		_UpperCamelCase=1_6				,		_UpperCamelCase=0.1				,		_UpperCamelCase=0.1				,		_UpperCamelCase=1E-6				,		_UpperCamelCase=0.02				,		_UpperCamelCase=True				,		**_UpperCamelCase				,		)	->							Union[str, Any]:
							UpperCAmelCase_    :      Union[str, Any]            =						vocab_size
							UpperCAmelCase_    :      Dict            =						n_positions
							UpperCAmelCase_    :      List[str]            =						n_embd
							UpperCAmelCase_    :      Optional[Any]            =						n_layer
							UpperCAmelCase_    :      List[Any]            =						n_head
							UpperCAmelCase_    :      Any            =						dff
							UpperCAmelCase_    :      Union[str, Any]            =						resid_pdrop
							UpperCAmelCase_    :      Any            =						embd_pdrop
							UpperCAmelCase_    :      int            =						layer_norm_epsilon
							UpperCAmelCase_    :      List[Any]            =						initializer_range

							UpperCAmelCase_    :      Any            =						use_cache

							super().__init__(**_UpperCamelCase   )













from __future__ import annotations



def _a				(	lowerCamelCase:   list[float]					,				lowerCamelCase:   Tuple )	->						List[str]:







      '''simple docstring'''






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



def _a				(	lowerCamelCase:   list[dict[str, int]]					,				lowerCamelCase:   list[float]					,				lowerCamelCase:   int )	->						Union[str, Any]:







      '''simple docstring'''






      for j in range(lowerCamelCase ):
            __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 _a				(	lowerCamelCase:   list[dict[str, int]]					,				lowerCamelCase:   int					,				lowerCamelCase:   int					,				lowerCamelCase:   int )	->						list[float]:







      '''simple docstring'''






      __A          =				[float('''inf''' )] * vertex_count
      __A          =				0.0

      for _ in range(vertex_count - 1 ):
            for j in range(lowerCamelCase ):
                  __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(lowerCamelCase					,				lowerCamelCase					,				lowerCamelCase )
      if negative_cycle_exists:
            raise Exception('''Negative cycle found''' )

      return distance


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       snake_case__					:							Dict													=     int(input('Enter number of vertices: ').strip())
       snake_case__					:							Optional[int]													=     int(input('Enter number of edges: ').strip())

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

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

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





