





"""simple docstring"""




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


class 			__UpperCamelCase							:






							def __init__(  self ,   lowerCAmelCase__ )      ->					int:
								a :						List[str]      =							str(id_ )
								a :						Optional[Any]      =							None
								a :						Optional[Any]      =							None
								a :						Any      =							[]
								a :						Optional[int]      =							{}  # {vertex:distance}






							def __lt__(  self ,   lowerCAmelCase__ )      ->					Optional[Any]:
								return self.key < other.key






							def __repr__(  self )      ->					Any:
								return self.id






							def        __a  (  self ,   lowerCAmelCase__ )      ->					Dict:
								self.neighbors.append(lowerCAmelCase__ )






							def        __a  (  self ,   lowerCAmelCase__ ,   lowerCAmelCase__ )      ->					Union[str, Any]:
								a :						int      =							weight






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       Any       ,			_lowercase		:       Dict       ,			_lowercase		:       Optional[int]       ,			_lowercase		:       str   )					->Tuple:






	'''simple docstring'''






	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]       ,			_lowercase   )
	graph[b - 1].add_edge(graph[a - 1]       ,			_lowercase   )






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       Vertex   )					->list:






	'''simple docstring'''






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






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       Vertex   )					->Iterator[tuple]:






	'''simple docstring'''






	for u in graph:
		a :						List[Any]      =							math.inf
		a :						Any      =							None
	a :						Union[str, Any]      =							0

	a :						Dict      =							list(_lowercase   )
	hq.heapify(_lowercase   )

	while h:
		a :						str      =							hq.heappop(_lowercase   )
		for v in u.neighbors:
			if (v in h) and (u.edges[v.id] < v.key):
				a :						Any      =							u
				a :						Dict      =							u.edges[v.id]
				hq.heapify(_lowercase   )

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






def  _SCREAMING_SNAKE_CASE						(      )					->None:






	'''simple docstring'''








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_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


a		:					Optional[Any]	      =     {
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a		:					str	      =     ['''OwlViTFeatureExtractor''']
		a		:					List[Any]	      =     ['''OwlViTImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a		:					List[Any]	      =     [
		    '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''OwlViTModel''',
		    '''OwlViTPreTrainedModel''',
		    '''OwlViTTextModel''',
		    '''OwlViTVisionModel''',
		    '''OwlViTForObjectDetection''',
		]

if TYPE_CHECKING:
		from .configuration_owlvit import (
		    OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    OwlViTConfig,
		    OwlViTOnnxConfig,
		    OwlViTTextConfig,
		    OwlViTVisionConfig,
		)
		from .processing_owlvit import OwlViTProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_owlvit import OwlViTFeatureExtractor
				from .image_processing_owlvit import OwlViTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_owlvit import (
				    OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    OwlViTForObjectDetection,
				    OwlViTModel,
				    OwlViTPreTrainedModel,
				    OwlViTTextModel,
				    OwlViTVisionModel,
				)

else:
		import sys

		a		:					List[str]	      =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


