



'''simple docstring'''



from __future__ import annotations

from collections import Counter
from random import random
class 	lowerCamelCase_							:







      def __init__(  self   :      Dict				):

             """simple docstring"""
             SCREAMING_SNAKE_CASE					:      Any     					=			{}







      def 					__lowercase    (  self   :      Optional[Any]				,    lowerCAmelCase__   :      str				):

             """simple docstring"""
             SCREAMING_SNAKE_CASE					:      str     					=			{}







      def 					__lowercase    (  self   :      Union[str, Any]				,    lowerCAmelCase__   :      str				,    lowerCAmelCase__   :      str				,    lowerCAmelCase__   :      float				):

             """simple docstring"""
             if nodea not in self.connections:
                    self.add_node(lowerCAmelCase__				)
             if nodea not in self.connections:
                    self.add_node(lowerCAmelCase__				)
             SCREAMING_SNAKE_CASE					:      List[str]     					=			probability







      def 					__lowercase    (  self   :      Optional[int]				):

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







      def 					__lowercase    (  self   :      str				,    lowerCAmelCase__   :      str				):

             """simple docstring"""
             SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			0
             SCREAMING_SNAKE_CASE					:      Dict     					=			random()

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


def 					UpperCAmelCase   (						A  :				str					,		A  :				list[tuple[str, str, float]]					,		A  :				int				):
       SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			MarkovChainGraphUndirectedUnweighted()

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

       SCREAMING_SNAKE_CASE					:      str     					=			Counter(graph.get_nodes()				)
       SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			start

       for _ in range(A				):
              SCREAMING_SNAKE_CASE					:      List[Any]     					=			graph.transition(A				)
              visited[node] += 1

       return visited


if __name__ == "__main__":
       import doctest

       doctest.testmod()









'''simple docstring'''



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


lowerCAmelCase_     :       Optional[int]								=						logging.get_logger(__name__)

lowerCAmelCase_     :       Optional[Any]								=						{
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}
class 	lowerCamelCase_							(					snake_case_			):
						_lowerCAmelCase     :   str	     =				'swinv2'

						_lowerCAmelCase     :   Optional[int]	     =				{
						    'num_attention_heads': 'num_heads',
						    'num_hidden_layers': 'num_layers',
						}







						def __init__(  self   :      Optional[int]				,    lowerCAmelCase__   :      Any=2_24				,    lowerCAmelCase__   :      Optional[Any]=4				,    lowerCAmelCase__   :      Tuple=3				,    lowerCAmelCase__   :      Tuple=96				,    lowerCAmelCase__   :      Optional[int]=[2, 2, 6, 2]				,    lowerCAmelCase__   :      Tuple=[3, 6, 12, 24]				,    lowerCAmelCase__   :      List[str]=7				,    lowerCAmelCase__   :      Tuple=4.0				,    lowerCAmelCase__   :      Dict=True				,    lowerCAmelCase__   :      Any=0.0				,    lowerCAmelCase__   :      Optional[int]=0.0				,    lowerCAmelCase__   :      Optional[Any]=0.1				,    lowerCAmelCase__   :      int="gelu"				,    lowerCAmelCase__   :      Tuple=False				,    lowerCAmelCase__   :      Tuple=0.02				,    lowerCAmelCase__   :      Dict=1e-5				,    lowerCAmelCase__   :      List[str]=32				,    **lowerCAmelCase__   :      Union[str, Any]				,    ):

													"""simple docstring"""
													super().__init__(**lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      int     					=			image_size
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			patch_size
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			num_channels
													SCREAMING_SNAKE_CASE					:      int     					=			embed_dim
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			depths
													SCREAMING_SNAKE_CASE					:      str     					=			len(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			num_heads
													SCREAMING_SNAKE_CASE					:      Tuple     					=			window_size
													SCREAMING_SNAKE_CASE					:      Any     					=			mlp_ratio
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			qkv_bias
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			hidden_dropout_prob
													SCREAMING_SNAKE_CASE					:      int     					=			attention_probs_dropout_prob
													SCREAMING_SNAKE_CASE					:      List[str]     					=			drop_path_rate
													SCREAMING_SNAKE_CASE					:      Any     					=			hidden_act
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			use_absolute_embeddings
													SCREAMING_SNAKE_CASE					:      List[str]     					=			layer_norm_eps
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			initializer_range
													SCREAMING_SNAKE_CASE					:      Dict     					=			encoder_stride
													# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
													# this indicates the channel dimension after the last stage of the model
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			int(embed_dim * 2 ** (len(lowerCAmelCase__				) - 1)				)
													SCREAMING_SNAKE_CASE					:      int     					=			(0, 0, 0, 0)




