



from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin






class    SCREAMING_SNAKE_CASE			(							snake_case_			,      snake_case_					):





							@register_to_config
							def __init__(   self		:		List[str]      ,				__lowercase		:		Any = 768      ,				):

											'''simple docstring'''
											super().__init__()

											__a       =		nn.Parameter(torch.zeros(1      ,				__lowercase	)	)
											__a       =		nn.Parameter(torch.ones(1      ,				__lowercase	)	)





							def 						UpperCamelCase_					(   self		:		Optional[Any]      ,				__lowercase		:		Optional[int] = None      ,				__lowercase		:		Dict = None      ,				):

											'''simple docstring'''
											__a       =		nn.Parameter(self.mean.to(__lowercase	).to(__lowercase	)	)
											__a       =		nn.Parameter(self.std.to(__lowercase	).to(__lowercase	)	)
											return self





							def 						UpperCamelCase_					(   self		:		Optional[Any]      ,				__lowercase		:		List[Any]	):

											'''simple docstring'''
											__a       =		(embeds - self.mean) * 1.0 / self.std
											return embeds







							def 						UpperCamelCase_					(   self		:		List[str]      ,				__lowercase		:		int	):

											'''simple docstring'''
											__a       =		(embeds * self.std) + self.mean
											return embeds





from __future__ import annotations

from collections import Counter
from random import random






class    SCREAMING_SNAKE_CASE			:





							def __init__(   self		:		Optional[Any]	):

											'''simple docstring'''
											__a       =		{}





							def 						UpperCamelCase_					(   self		:		Dict      ,				__lowercase		:		str	):

											'''simple docstring'''
											__a       =		{}





							def 						UpperCamelCase_					(   self		:		List[str]      ,				__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	)
											__a       =		probability





							def 						UpperCamelCase_					(   self		:		Union[str, Any]	):

											'''simple docstring'''
											return list(self.connections	)







							def 						UpperCamelCase_					(   self		:		Tuple      ,				__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    ):
				"""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()
