






from __future__ import annotations

from collections import Counter
from random import random




class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self					)       ->    str:
								snake_case_				=							{}




	def 							_UpperCamelCase			(       self       ,			a					)       ->    None:
								snake_case_				=							{}




	def 							_UpperCamelCase			(       self       ,			a       ,			a       ,			a					)       ->    None:
								if nodea not in self.connections:
															self.add_node(a					)
								if nodea not in self.connections:
															self.add_node(a					)
								snake_case_				=							probability




	def 							_UpperCamelCase			(       self					)       ->    list[str]:
								return list(self.connections					)






	def 							_UpperCamelCase			(       self       ,			a					)       ->    str:
								snake_case_				=							0
								snake_case_				=							random()

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






def 						__UpperCAmelCase			(     a_							,     a_							,     a_):
							snake_case_				=							MarkovChainGraphUndirectedUnweighted()

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

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

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

							return visited


if __name__ == "__main__":
	import doctest

	doctest.testmod()













lowercase  							=					"\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

lowercase  							=					[{"type": "code", "content": INSTALL_CONTENT}]
lowercase  							=					{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}





