
"""simple docstring"""







def 			A_			(					lowercase						, lowercase      )     ->							Optional[int]:


     """simple docstring"""







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




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							str:


     """simple docstring"""







     UpperCAmelCase_						:    Tuple    					=  float("""inf"""      )
     UpperCAmelCase_						:    Tuple    					=  -1
     for i in range(lowercase      ):
          if (not vset[i]) and mdist[i] < min_val:
               UpperCAmelCase_						:    str    					=  i
               UpperCAmelCase_						:    List[str]    					=  mdist[i]
     return min_ind




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							int:


     """simple docstring"""







     UpperCAmelCase_						:    List[str]    					=  [float("""inf"""      ) for _ in range(lowercase      )]
     UpperCAmelCase_						:    List[Any]    					=  [False for _ in range(lowercase      )]
     UpperCAmelCase_						:    str    					=  0.0

     for _ in range(v - 1      ):
          UpperCAmelCase_						:    List[Any]    					=  min_dist(lowercase						, lowercase						, lowercase      )
          UpperCAmelCase_						:    Optional[Any]    					=  True

          for i in range(lowercase      ):
               if (
                   (not vset[i])
                   and graph[u][i] != float("""inf"""      )
                   and mdist[u] + graph[u][i] < mdist[i]
               ):
                    UpperCAmelCase_						:    Optional[int]    					=  mdist[u] + graph[u][i]

     print_dist(lowercase						, lowercase      )


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

       lowercase_						    =					[[float("inf") for i in range(V)] for j in range(V)]

       for i in range(V):
              lowercase_						    =					0.0

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

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



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_						    =					{"configuration_visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"]}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_						    =					[
           "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "VisualBertForMultipleChoice",
           "VisualBertForPreTraining",
           "VisualBertForQuestionAnswering",
           "VisualBertForRegionToPhraseAlignment",
           "VisualBertForVisualReasoning",
           "VisualBertLayer",
           "VisualBertModel",
           "VisualBertPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_visual_bert import (
                  VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VisualBertForMultipleChoice,
                  VisualBertForPreTraining,
                  VisualBertForQuestionAnswering,
                  VisualBertForRegionToPhraseAlignment,
                  VisualBertForVisualReasoning,
                  VisualBertLayer,
                  VisualBertModel,
                  VisualBertPreTrainedModel,
              )


else:
       import sys

       lowercase_						    =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

