




def 							lowerCAmelCase_				(    A_  ,A_):
    print("\nVertex Distance")
    for i in range(SCREAMING_SNAKE_CASE_):
        if dist[i] != float("inf"):
            print(SCREAMING_SNAKE_CASE_  ,"\t"  ,int(dist[i])  ,end="\t")
        else:
            print(SCREAMING_SNAKE_CASE_  ,"\t"  ,"INF"  ,end="\t")
        print()



def 							lowerCAmelCase_				(    A_  ,A_  ,A_):
    UpperCamelCase__:					Any												=      float("inf")
    UpperCamelCase__:					List[Any]												=      -1
    for i in range(SCREAMING_SNAKE_CASE_):
        if (not vset[i]) and mdist[i] < min_val:
            UpperCamelCase__:					int												=      i
            UpperCamelCase__:					List[Any]												=      mdist[i]
    return min_ind



def 							lowerCAmelCase_				(    A_  ,A_  ,A_):
    UpperCamelCase__:					Union[str, Any]												=      [float("inf") for _ in range(SCREAMING_SNAKE_CASE_)]
    UpperCamelCase__:					Dict												=      [False for _ in range(SCREAMING_SNAKE_CASE_)]
    UpperCamelCase__:					Tuple												=      0.0

    for _ in range(v - 1):
        UpperCamelCase__:					int												=      min_dist(SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_)
        UpperCamelCase__:					str												=      True

        for i in range(SCREAMING_SNAKE_CASE_):
            if (
                (not vset[i])
                and graph[u][i] != float("inf")
                and mdist[u] + graph[u][i] < mdist[i]
            ):
                UpperCamelCase__:					Tuple												=      mdist[u] + graph[u][i]

    print_dist(SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_)


if __name__ == "__main__":
   A__:  int       					=					int(input('''Enter number of vertices: ''').strip())
   A__:  Dict       					=					int(input('''Enter number of edges: ''').strip())

   A__:  Tuple       					=					[[float('''inf''') for i in range(V)] for j in range(V)]

   for i in range(V):
      A__:  List[Any]       					=					0.0

   for i in range(E):
      print('''\nEdge ''', i + 1)
      A__:  int       					=					int(input('''Enter source:''').strip())
      A__:  int       					=					int(input('''Enter destination:''').strip())
      A__:  Dict       					=					float(input('''Enter weight:''').strip())
      A__:  Any       					=					weight

   A__:  int       					=					int(input('''\nEnter shortest path source:''').strip())
   dijkstra(graph, V, gsrc)








import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax




@require_flax
class    _a  :

      """simple docstring"""


      def 	UpperCAmelCase_   (						self:	int			):
          '''simple docstring'''


          UpperCamelCase__							,				UpperCamelCase__:					Optional[int]												=      self.prepare_init_args_and_inputs_for_common()

          UpperCamelCase__:					Tuple												=      self.model_class(**__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      model.init(inputs_dict["prng_key"]					,  inputs_dict["sample"]			)
          jax.lax.stop_gradient(__lowerCamelCase			)

          UpperCamelCase__:					int												=      model.apply(__lowerCamelCase					,  inputs_dict["sample"]			)

          if isinstance(__lowerCamelCase					,  __lowerCamelCase			):
              UpperCamelCase__:					str												=      output.sample

          self.assertIsNotNone(__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      inputs_dict["sample"].shape
          self.assertEqual(output.shape					,  __lowerCamelCase					,  "Input and output shapes do not match"			)






      def 	UpperCAmelCase_   (						self:	Union[str, Any]			):
          '''simple docstring'''


          UpperCamelCase__							,				UpperCamelCase__:					List[str]												=      self.prepare_init_args_and_inputs_for_common()

          UpperCamelCase__:					List[Any]												=      16
          UpperCamelCase__:					int												=      (16, 32)

          UpperCamelCase__:					Tuple												=      self.model_class(**__lowerCamelCase			)
          UpperCamelCase__:					Union[str, Any]												=      model.init(inputs_dict["prng_key"]					,  inputs_dict["sample"]			)
          jax.lax.stop_gradient(__lowerCamelCase			)

          UpperCamelCase__:					Union[str, Any]												=      model.apply(__lowerCamelCase					,  inputs_dict["sample"]			)

          if isinstance(__lowerCamelCase					,  __lowerCamelCase			):
              UpperCamelCase__:					Dict												=      output.sample

          self.assertIsNotNone(__lowerCamelCase			)
          UpperCamelCase__:					Optional[Any]												=      inputs_dict["sample"].shape
          self.assertEqual(output.shape					,  __lowerCamelCase					,  "Input and output shapes do not match"			)






      def 	UpperCAmelCase_   (						self:	Tuple			):
          '''simple docstring'''


          UpperCamelCase__:					List[str]												=      "kwargs" in inspect.signature(self.model_class.__init__			).parameters
          UpperCamelCase__:					Any												=      len(self.model_class._deprecated_kwargs			) > 0

          if has_kwarg_in_model_class and not has_deprecated_kwarg:
              raise ValueError(
                  F"{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"
                  " under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are"
                  " no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ="
                  " [<deprecated_argument>]`"			)

          if not has_kwarg_in_model_class and has_deprecated_kwarg:
              raise ValueError(
                  F"{self.model_class} doesn't have `**kwargs` in its __init__ method but has defined deprecated kwargs"
                  " under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to"
                  F" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"
                  " from `_deprecated_kwargs = [<deprecated_argument>]`"			)

