

from __future__ import annotations

from collections import Counter
from random import random

class 					a__						:
			"""simple docstring"""







			def __init__(    self       )  ->						Union[str, Any]:
							'''simple docstring'''






							A__        =			{}


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						None:
							'''simple docstring'''






							A__        =			{}


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase      ,      lowercase       )  ->						None:
							'''simple docstring'''






							if nodea not in self.connections:
											self.add_node(lowercase       )
							if nodea not in self.connections:
											self.add_node(lowercase       )
							A__        =			probability


			def      UpperCamelCase		(    self       )  ->						list[str]:
							'''simple docstring'''






							return list(self.connections       )


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						str:
							'''simple docstring'''






							A__        =			0
							A__        =			random()

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



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							str	,       SCREAMING_SNAKE_CASE_:							list[tuple[str, str, float]]	,       SCREAMING_SNAKE_CASE_:							int      )			->      dict[str, int]:




				'''simple docstring'''





				A__        =			MarkovChainGraphUndirectedUnweighted()

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

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

				for _ in range(SCREAMING_SNAKE_CASE_      ):
								A__        =			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_clip import CLIPImageProcessor


lowerCAmelCase__	   = logging.get_logger(__name__)

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      *lowercase      ,      **lowercase       )  ->						None:
							'''simple docstring'''






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

