"""simple docstring"""





import heapq as hq
import math
from collections.abc import Iterator




class  _snake_case		:







				"""simple docstring"""






				def __init__(      self							:							Tuple      ,    _A							:							Tuple):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    str(id_)
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    None
											_SCREAMING_SNAKE_CASE		:						Dict			  =    None
											_SCREAMING_SNAKE_CASE		:						str			  =    []
											_SCREAMING_SNAKE_CASE		:						Any			  =    {}  # {vertex:distance}





				def __lt__(      self							:							int      ,    _A							:							str):



											"""simple docstring"""







											return self.key < other.key





				def __repr__(      self							:							Dict):



											"""simple docstring"""







											return self.id





				def 		_lowerCAmelCase		(      self							:							Optional[int]      ,    _A							:							str):



											"""simple docstring"""







											self.neighbors.append(_A)





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]      ,    _A							:							Any      ,    _A							:							Any):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Dict			  =    weight


def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    Dict:
							# add the neighbors:
							graph[a - 1].add_neighbor(graph[b - 1]  )
							graph[b - 1].add_neighbor(graph[a - 1]  )
							# add the edges:
							graph[a - 1].add_edge(graph[b - 1]     ,	__SCREAMING_SNAKE_CASE  )
							graph[b - 1].add_edge(graph[a - 1]     ,	__SCREAMING_SNAKE_CASE  )


def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    list:
							_SCREAMING_SNAKE_CASE		:						str			  =    []
							for u in graph:
														_SCREAMING_SNAKE_CASE		:						int			  =    math.inf
														_SCREAMING_SNAKE_CASE		:						Tuple			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    0
							_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    graph[:]
							while q:
														_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    min(__SCREAMING_SNAKE_CASE  )
														q.remove(__SCREAMING_SNAKE_CASE  )
														for v in u.neighbors:
																					if (v in q) and (u.edges[v.id] < v.key):
																												_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    u
																												_SCREAMING_SNAKE_CASE		:						Any			  =    u.edges[v.id]
							for i in range(1     ,	len(__SCREAMING_SNAKE_CASE  )  ):
														a.append((int(graph[i].id  ) + 1, int(graph[i].pi.id  ) + 1)  )
							return a


def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    Iterator[tuple]:
							for u in graph:
														_SCREAMING_SNAKE_CASE		:						str			  =    math.inf
														_SCREAMING_SNAKE_CASE		:						Dict			  =    None
							_SCREAMING_SNAKE_CASE		:						Dict			  =    0

							_SCREAMING_SNAKE_CASE		:						Tuple			  =    list(__SCREAMING_SNAKE_CASE  )
							hq.heapify(__SCREAMING_SNAKE_CASE  )

							while h:
														_SCREAMING_SNAKE_CASE		:						Dict			  =    hq.heappop(__SCREAMING_SNAKE_CASE  )
														for v in u.neighbors:
																					if (v in h) and (u.edges[v.id] < v.key):
																												_SCREAMING_SNAKE_CASE		:						int			  =    u
																												_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    u.edges[v.id]
																												hq.heapify(__SCREAMING_SNAKE_CASE  )

							for i in range(1     ,	len(__SCREAMING_SNAKE_CASE  )  ):
														yield (int(graph[i].id  ) + 1, int(graph[i].pi.id  ) + 1)


def      lowerCamelCase_()->    None:
							pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()



"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase_     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


