

"""simple docstring"""






import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


snake_case_   :   int        =       """sshleifer/bart-tiny-random"""
snake_case_   :   int        =       """patrickvonplaten/t5-tiny-random"""







@require_torch
class       snake_case__  ( unittest.TestCase     ):







			@cached_property
			def 			__lowerCAmelCase				(			self			: List[str]  ):





								'''simple docstring'''



								return AutoConfig.from_pretrained(lowercase  )







			def 			__lowerCAmelCase				(			self			: str  ):





								'''simple docstring'''



								UpperCAmelCase      ,							*UpperCAmelCase			:   List[str]      =				create_student_by_copying_alternating_layers(lowercase			,  tempfile.mkdtemp()			,  e=1			,  d=1  )
								self.assertEqual(student.config.num_hidden_layers			,  1  )







			def 			__lowerCAmelCase				(			self			: List[str]  ):





								'''simple docstring'''



								UpperCAmelCase      ,							*UpperCAmelCase			:   List[str]      =				create_student_by_copying_alternating_layers(lowercase			,  tempfile.mkdtemp()			,  e=1			,  d=lowercase  )







			def 			__lowerCAmelCase				(			self			: Dict  ):





								'''simple docstring'''



								UpperCAmelCase      ,							*UpperCAmelCase			:   List[str]      =				create_student_by_copying_alternating_layers(lowercase			,  tempfile.mkdtemp()			,  e=1			,  d=lowercase  )
								self.assertEqual(student.config.encoder_layers			,  1  )
								self.assertEqual(student.config.decoder_layers			,  self.teacher_config.encoder_layers  )







			def 			__lowerCAmelCase				(			self			: List[str]  ):





								'''simple docstring'''



								UpperCAmelCase      ,							*UpperCAmelCase			:   List[str]      =				create_student_by_copying_alternating_layers(lowercase			,  tempfile.mkdtemp()			,  e=1			,  d=1  )
								self.assertEqual(student.config.encoder_layers			,  1  )
								self.assertEqual(student.config.decoder_layers			,  1  )







			def 			__lowerCAmelCase				(			self			: Any  ):





								'''simple docstring'''



								with self.assertRaises(lowercase  ):
													create_student_by_copying_alternating_layers(lowercase			,  tempfile.mkdtemp()			,  e=lowercase			,  d=lowercase  )





"""simple docstring"""






from __future__ import annotations

from collections import Counter
from random import random







class       snake_case__  :







			def __init__(			self			: Any  ):





								'''simple docstring'''



								UpperCAmelCase			:   List[Any]      =				{}







			def 			__lowerCAmelCase				(			self			: List[Any]			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   Optional[int]      =				{}







			def 			__lowerCAmelCase				(			self			: Optional[int]			,  lowercase			: str			,  lowercase			: str			,  lowercase			: float  ):





								'''simple docstring'''



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







			def 			__lowerCAmelCase				(			self			: List[Any]  ):





								'''simple docstring'''



								return list(self.connections  )







			def 			__lowerCAmelCase				(			self			: int			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   int      =				0
								UpperCAmelCase			:   Union[str, Any]      =				random()

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



def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		list[tuple[str, str, float]]							,      _lowercase       :		int	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				MarkovChainGraphUndirectedUnweighted()

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

					UpperCAmelCase			:   List[Any]      =				Counter(graph.get_nodes()	)
					UpperCAmelCase			:   List[Any]      =				start

					for _ in range(_lowercase	):
										UpperCAmelCase			:   Optional[Any]      =				graph.transition(_lowercase	)
										visited[node] += 1

					return visited


if __name__ == "__main__":
	import doctest

	doctest.testmod()


