



'''simple docstring'''
from __future__ import annotations

from collections import Counter
from random import random






class 							lowercase__	:





	def __init__( self					:				Optional[Any] ):







							'''simple docstring'''
							_UpperCamelCase					:		str 				=   {}





	def 	UpperCamelCase_  ( self					:				Any ,lowerCamelCase__					:				str ):







							'''simple docstring'''
							_UpperCamelCase					:		List[Any] 				=   {}





	def 	UpperCamelCase_  ( self					:				List[Any] ,lowerCamelCase__					:				str ,lowerCamelCase__					:				str ,lowerCamelCase__					:				float ):







							'''simple docstring'''
							if nodea not in self.connections:
													self.add_node(lowerCamelCase__ )
							if nodea not in self.connections:
													self.add_node(lowerCamelCase__ )
							_UpperCamelCase					:		str 				=   probability





	def 	UpperCamelCase_  ( self					:				Union[str, Any] ):







							'''simple docstring'''
							return list(self.connections )





	def 	UpperCamelCase_  ( self					:				Dict ,lowerCamelCase__					:				str ):







							'''simple docstring'''
							_UpperCamelCase					:		Optional[Any] 				=   0
							_UpperCamelCase					:		List[Any] 				=   random()

							for dest in self.connections[node]:
													current_probability += self.connections[node][dest]
													if current_probability > random_value:
																			return dest
							return ""






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		Dict 				=   MarkovChainGraphUndirectedUnweighted()

						for nodea, nodea, probability in transitions:
												graph.add_transition_probability(UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							)

						_UpperCamelCase					:		Union[str, Any] 				=   Counter(graph.get_nodes()							)
						_UpperCamelCase					:		Dict 				=   start

						for _ in range(UpperCAmelCase_							):
												_UpperCamelCase					:		Union[str, Any] 				=   graph.transition(UpperCAmelCase_							)
												visited[node] += 1

						return visited


if __name__ == "__main__":
					import doctest

					doctest.testmod()








"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__     						=						{"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase__     						=						[
			    """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """ViTMSNModel""",
			    """ViTMSNForImageClassification""",
			    """ViTMSNPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_msn import (
						    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMSNForImageClassification,
						    ViTMSNModel,
						    ViTMSNPreTrainedModel,
						)

else:
			import sys

			lowercase__     						=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)