

from __future__ import annotations

from collections import Counter
from random import random



class   __lowercase				:




			"""simple docstring"""







			def __init__( self  :     List[str]):
									SCREAMING_SNAKE_CASE_: Optional[Any]  		=       {}



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]   ,						lowerCAmelCase__  :     str):
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       {}



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]   ,						lowerCAmelCase__  :     str   ,						lowerCAmelCase__  :     str   ,						lowerCAmelCase__  :     float):
									if nodea not in self.connections:
															self.add_node(lowerCAmelCase__)
									if nodea not in self.connections:
															self.add_node(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_: List[Any]  		=       probability



			def        _SCREAMING_SNAKE_CASE			( self  :     List[str]):
									return list(self.connections)




			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[Any]   ,						lowerCAmelCase__  :     str):
									SCREAMING_SNAKE_CASE_: Dict  		=       0
									SCREAMING_SNAKE_CASE_: Tuple  		=       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    ):
						SCREAMING_SNAKE_CASE_: List[Any]  		=       MarkovChainGraphUndirectedUnweighted()

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

						SCREAMING_SNAKE_CASE_: Tuple  		=       Counter(graph.get_nodes()    )
						SCREAMING_SNAKE_CASE_: Optional[Any]  		=       start

						for _ in range(_UpperCAmelCase    ):
												SCREAMING_SNAKE_CASE_: int  		=       graph.transition(_UpperCAmelCase    )
												visited[node] += 1

						return visited


if __name__ == "__main__":
						import doctest

						doctest.testmod()









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel






