



from __future__ import annotations

from collections import Counter
from random import random




class   UpperCamelCase_       :


							def __init__(							self    :Dict		)   ->   Tuple:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      {}


							def      _snake_case  (							self    :List[Any]							,				__A    :Dict		)   ->   List[str]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      {}


							def      _snake_case  (							self    :Optional[int]							,				__A    :Any							,				__A    :List[Any]							,				__A    :List[Any]		)   ->   Optional[Any]:



									"""simple docstring"""



									if nodea not in self.connections:
											self.add_node(lowercase_		)
									if nodea not in self.connections:
											self.add_node(lowercase_		)
									SCREAMING_SNAKE_CASE__			=      probability


							def      _snake_case  (							self    :Any		)   ->   Optional[int]:



									"""simple docstring"""



									return list(self.connections		)


							def      _snake_case  (							self    :Union[str, Any]							,				__A    :Tuple		)   ->   List[str]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      0
									SCREAMING_SNAKE_CASE__			=      random()

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






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[Any]					,   UpperCamelCase__:							str					,   UpperCamelCase__:							Optional[int]    ):
		SCREAMING_SNAKE_CASE__			=      MarkovChainGraphUndirectedUnweighted()

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

		SCREAMING_SNAKE_CASE__			=      Counter(graph.get_nodes()    )
		SCREAMING_SNAKE_CASE__			=      start

		for _ in range(__SCREAMING_SNAKE_CASE    ):
				SCREAMING_SNAKE_CASE__			=      graph.transition(__SCREAMING_SNAKE_CASE    )
				visited[node] += 1

		return visited


if __name__ == "__main__":
	import doctest

	doctest.testmod()






import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase   				=			logging.get_logger(__name__)




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :List[Any]							,				*__A    :Tuple							,				**__A    :Dict		)   ->   None:



									"""simple docstring"""



									warnings.warn(
									    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use LayoutLMv2ImageProcessor instead."""							,				__A							,				)
									super().__init__(*__A							,				**__A		)