
"""simple docstring"""





from ....configuration_utils import PretrainedConfig
from ....utils import logging


UpperCamelCase_					:						Union[str, Any]				= logging.get_logger(__name__)

UpperCamelCase_					:						List[Any]				= {
    '''Visual-Attention-Network/van-base''': (
        '''https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json'''
    ),
}



class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







			snake_case	      =				"van"




			def __init__(				self						:					Optional[Any]       ,   _snake_case						:					Union[str, Any]=224       ,   _snake_case						:					Dict=3       ,   _snake_case						:					Dict=[7, 3, 3, 3]       ,   _snake_case						:					List[str]=[4, 2, 2, 2]       ,   _snake_case						:					List[str]=[64, 128, 320, 512]       ,   _snake_case						:					Any=[3, 3, 12, 3]       ,   _snake_case						:					str=[8, 8, 4, 4]       ,   _snake_case						:					Dict="gelu"       ,   _snake_case						:					int=0.0_2       ,   _snake_case						:					Optional[Any]=1e-6       ,   _snake_case						:					List[Any]=1e-2       ,   _snake_case						:					Optional[int]=0.0       ,   _snake_case						:					Dict=0.0       ,   **_snake_case						:					List[str]       ,   )      -> Tuple:







								"""simple docstring"""
								super().__init__(**_snake_case	)
								A_				 =						image_size
								A_				 =						num_channels
								A_				 =						patch_sizes
								A_				 =						strides
								A_				 =						hidden_sizes
								A_				 =						depths
								A_				 =						mlp_ratios
								A_				 =						hidden_act
								A_				 =						initializer_range
								A_				 =						layer_norm_eps
								A_				 =						layer_scale_init_value
								A_				 =						drop_path_rate
								A_				 =						dropout_rate






"""simple docstring"""





from __future__ import annotations

from collections import Counter
from random import random



class __lowerCAmelCase				:




			"""simple docstring"""







			def __init__(				self						:					int	)      -> List[Any]:







								"""simple docstring"""
								A_				 =						{}




			def      lowerCamelCase__     (				self						:					List[Any]       ,   _snake_case						:					str	)      -> None:







								"""simple docstring"""
								A_				 =						{}




			def      lowerCamelCase__     (				self						:					Optional[int]       ,   _snake_case						:					str       ,   _snake_case						:					str       ,   _snake_case						:					float	)      -> None:







								"""simple docstring"""
								if nodea not in self.connections:
													self.add_node(_snake_case	)
								if nodea not in self.connections:
													self.add_node(_snake_case	)
								A_				 =						probability




			def      lowerCamelCase__     (				self						:					Tuple	)      -> list[str]:







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






			def      lowerCamelCase__     (				self						:					Union[str, Any]       ,   _snake_case						:					str	)      -> 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 							A_     (__a				,   __a				,   __a				):

					'''simple docstring'''





					A_				 =						MarkovChainGraphUndirectedUnweighted()

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

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

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

					return visited


if __name__ == "__main__":
		import doctest

		doctest.testmod()




