

import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
    import torch

    from transformers.activations import gelu_new, gelu_python, get_activation

@require_torch
class     __snake_case    (				unittest.TestCase  ):
       """simple docstring"""







       def 			a		(		self   )      ->							Optional[int]:






              """simple docstring"""


              __snake_case       	=							torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]   )
              __snake_case       	=							get_activation("""gelu"""   )
              self.assertTrue(torch.allclose(gelu_python(_UpperCamelCase   )      , torch_builtin(_UpperCamelCase   )   )   )
              self.assertFalse(torch.allclose(gelu_python(_UpperCamelCase   )      , gelu_new(_UpperCamelCase   )   )   )


       def 			a		(		self   )      ->							Tuple:






              """simple docstring"""


              __snake_case       	=							torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]   )
              __snake_case       	=							get_activation("""gelu"""   )
              __snake_case       	=							get_activation("""gelu_10"""   )

              __snake_case       	=							torch_builtin(_UpperCamelCase   )
              __snake_case       	=							geluaa(_UpperCamelCase   )

              __snake_case       	=							torch.where(y_gelu_aa < 10.0      , 1      , 0   )

              self.assertTrue(torch.max(_UpperCamelCase   ).item() == 10.0   )
              self.assertTrue(torch.allclose(y_gelu * clipped_mask      , y_gelu_aa * clipped_mask   )   )


       def 			a		(		self   )      ->							Optional[Any]:






              """simple docstring"""


              get_activation("""gelu"""   )
              get_activation("""gelu_10"""   )
              get_activation("""gelu_fast"""   )
              get_activation("""gelu_new"""   )
              get_activation("""gelu_python"""   )
              get_activation("""gelu_pytorch_tanh"""   )
              get_activation("""linear"""   )
              get_activation("""mish"""   )
              get_activation("""quick_gelu"""   )
              get_activation("""relu"""   )
              get_activation("""sigmoid"""   )
              get_activation("""silu"""   )
              get_activation("""swish"""   )
              get_activation("""tanh"""   )
              with self.assertRaises(_UpperCamelCase   ):
                     get_activation("""bogus"""   )
              with self.assertRaises(_UpperCamelCase   ):
                     get_activation(_UpperCamelCase   )






       def 			a		(		self   )      ->							List[str]:






              """simple docstring"""


              __snake_case       	=							get_activation("""gelu"""   )
              __snake_case       	=							1
              __snake_case       	=							get_activation("""gelu"""   )
              self.assertEqual(acta.a      , 1   )
              with self.assertRaises(_UpperCamelCase   ):
                     __snake_case       	=							acta.a




from __future__ import annotations







def 						lowerCamelCase__      ( __A    :list[float]	,__A    :Union[str, Any]		):


       """simple docstring"""




       print(F'Vertex\tShortest Distance from vertex {src}'		)
       for i, d in enumerate(__A		):
              print(F'{i}\t\t{d}'		)







def 						lowerCamelCase__      ( __A    :list[dict[str, int]]	,__A    :list[float]	,__A    :int		):


       """simple docstring"""




       for j in range(__A		):
              __snake_case	,    __snake_case	,    __snake_case       	=							(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 						lowerCamelCase__      ( __A    :list[dict[str, int]]	,__A    :int	,__A    :int	,__A    :int		):


       """simple docstring"""




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

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

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

       __snake_case       	=							check_negative_cycle(__A	,__A	,__A		)
       if negative_cycle_exists:
              raise Exception("""Negative cycle found"""		)

       return distance


if __name__ == "__main__":
    import doctest

    doctest.testmod()

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

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

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

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

