




from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader







class __snake_case			(			a		):







   def __init__(      self		:						str					,						_snake_case		:						NestedDataStructureLike[PathLike]					,						_snake_case		:						Optional[NamedSplit] = None					,						_snake_case		:						Optional[Features] = None					,						_snake_case		:						str = None					,						_snake_case		:						bool = False					,						_snake_case		:						bool = False					,						_snake_case		:						Optional[int] = None					,						**_snake_case		:						Optional[int]					,						):

        """simple docstring"""


        super().__init__(
            _snake_case					,						split=_snake_case					,						features=_snake_case					,						cache_dir=_snake_case					,						keep_in_memory=_snake_case					,						streaming=_snake_case					,						num_proc=_snake_case					,						**_snake_case					,						)
        UpperCAmelCase_          =							path_or_paths if isinstance(_snake_case					,						_snake_case) else {self.split: path_or_paths}
        UpperCAmelCase_          =							Text(
            cache_dir=_snake_case					,						data_files=_snake_case					,						features=_snake_case					,						**_snake_case					,						)







   def lowerCamelCase						(      self		:						int):

        """simple docstring"""


        if self.streaming:
             UpperCAmelCase_          =							self.builder.as_streaming_dataset(split=self.split)
        # Build regular (map-style) dataset
        else:
             UpperCAmelCase_          =							None
             UpperCAmelCase_          =							None
             UpperCAmelCase_          =							None
             UpperCAmelCase_          =							None

             self.builder.download_and_prepare(
                 download_config=_snake_case					,						download_mode=_snake_case					,						verification_mode=_snake_case					,						base_path=_snake_case					,						num_proc=self.num_proc					,						)
             UpperCAmelCase_          =							self.builder.as_dataset(
                 split=self.split					,						verification_mode=_snake_case					,						in_memory=self.keep_in_memory)
        return dataset













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)





