
from __future__ import annotations







def        A__					(						lowerCamelCase     ,    lowerCamelCase						)  ->	Tuple:
				print(F'''Vertex\tShortest Distance from vertex {src}'''						)
				for i, d in enumerate(SCREAMING_SNAKE_CASE_						):
								print(F'''{i}\t\t{d}'''						)







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	List[Any]:
				for j in range(SCREAMING_SNAKE_CASE_						):
								UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_:							str	=						(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     ,    lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	list[float]:
				UpperCamelCase_:							str	=						[float("""inf"""						)] * vertex_count
				UpperCamelCase_:							Union[str, Any]	=						0.0

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

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

				UpperCamelCase_:							Optional[Any]	=						check_negative_cycle(SCREAMING_SNAKE_CASE_     ,    SCREAMING_SNAKE_CASE_     ,    SCREAMING_SNAKE_CASE_						)
				if negative_cycle_exists:
								raise Exception("""Negative cycle found"""						)

				return distance


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							lowerCamelCase_						: int         =  int(input("""Enter number of vertices: """).strip())
							lowerCamelCase_						: int         =  int(input("""Enter number of edges: """).strip())

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

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

							lowerCamelCase_						: Optional[Any]         =  int(input("""\nEnter shortest path source:""").strip())
							lowerCamelCase_						: Any         =  bellman_ford(graph, V, E, source)
							print_distance(shortest_distance, 0)








import warnings

from ..trainer import Trainer
from ..utils import logging


lowerCamelCase_						: Dict         =  logging.get_logger(__name__)

class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			def __init__(       self :       List[str]						,	snake_case_ :       Tuple=None						,	**snake_case_ :       List[str]      ):
							warnings.warn(
							    """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
							    """instead."""						,	snake_case_						,	)
							super().__init__(args=snake_case_						,	**snake_case_      )






