

import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version






def    SCREAMING_SNAKE_CASE__       (  *lowerCamelCase__	, lowerCamelCase__ = None	, lowerCamelCase__=True	, lowerCamelCase__=2			)  ->     List[Any]:
	from .. import __version__

	__lowerCamelCase				:				List[Any]					       = take_from
	__lowerCamelCase				:				int					       = ()
	if not isinstance(args[0]	, lowerCamelCase__			):
		__lowerCamelCase				:				Tuple					       = (args,)

	for attribute, version_name, message in args:
		if version.parse(version.parse(lowerCamelCase__			).base_version			) >= version.parse(lowerCamelCase__			):
			raise ValueError(
			    F"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
			    F" version {__version__} is >= {version_name}"			)

		__lowerCamelCase				:				Optional[int]					       = None
		if isinstance(lowerCamelCase__	, lowerCamelCase__			) and attribute in deprecated_kwargs:
			values += (deprecated_kwargs.pop(lowerCamelCase__			),)
			__lowerCamelCase				:				int					       = F"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
		elif hasattr(lowerCamelCase__	, lowerCamelCase__			):
			values += (getattr(lowerCamelCase__	, lowerCamelCase__			),)
			__lowerCamelCase				:				List[Any]					       = F"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
		elif deprecated_kwargs is None:
			__lowerCamelCase				:				str					       = F"`{attribute}` is deprecated and will be removed in version {version_name}."

		if warning is not None:
			__lowerCamelCase				:				Optional[int]					       = warning + ' ' if standard_warn else ''
			warnings.warn(warning + message	, lowerCamelCase__	, stacklevel=lowerCamelCase__			)

	if isinstance(lowerCamelCase__	, lowerCamelCase__			) and len(lowerCamelCase__			) > 0:
		__lowerCamelCase				:				List[str]					       = inspect.getouterframes(inspect.currentframe()			)[1]
		__lowerCamelCase				:				Optional[int]					       = call_frame.filename
		__lowerCamelCase				:				List[str]					       = call_frame.lineno
		__lowerCamelCase				:				Union[str, Any]					       = call_frame.function
		__lowerCamelCase       , __lowerCamelCase				:				Optional[Any]					       = next(iter(deprecated_kwargs.items()			)			)
		raise TypeError(F"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"			)

	if len(lowerCamelCase__			) == 0:
		return
	elif len(lowerCamelCase__			) == 1:
		return values[0]
	return values











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)





