






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
from ..clip.configuration_clip import CLIPVisionConfig


__a					:				Any      =      logging.get_logger(__name__)


class 					__lowercase					(		snake_case__     ):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE        = "vision-text-dual-encoder"
     SCREAMING_SNAKE_CASE        = True




     def __init__( self				:	Dict       ,		UpperCamelCase_				:	Union[str, Any]=512       ,		UpperCamelCase_				:	int=2.6592       ,		**UpperCamelCase_				:	Tuple ):


         """simple docstring"""



         super().__init__(**__UpperCAmelCase )

         if "vision_config" not in kwargs:
             raise ValueError("""`vision_config` can not be `None`.""" )

         if "text_config" not in kwargs:
             raise ValueError("""`text_config` can not be `None`.""" )

         __A   			=		kwargs.pop("""vision_config""" )
         __A   			=		kwargs.pop("""text_config""" )

         __A   			=		vision_config.pop("""model_type""" )
         __A   			=		text_config.pop("""model_type""" )

         if vision_model_type == "clip":
             __A   			=		AutoConfig.for_model(__UpperCAmelCase       ,		**__UpperCAmelCase ).vision_config
         elif vision_model_type == "clip_vision_model":
             __A   			=		CLIPVisionConfig(**__UpperCAmelCase )
         else:
             __A   			=		AutoConfig.for_model(__UpperCAmelCase       ,		**__UpperCAmelCase )

         __A   			=		AutoConfig.for_model(__UpperCAmelCase       ,		**__UpperCAmelCase )

         __A   			=		projection_dim
         __A   			=		logit_scale_init_value




     @classmethod
     def 						lowerCAmelCase_   ( cls				:	Union[str, Any]       ,		UpperCamelCase_				:	PretrainedConfig       ,		UpperCamelCase_				:	PretrainedConfig       ,		**UpperCamelCase_				:	int ):


         """simple docstring"""



         return cls(vision_config=vision_config.to_dict()       ,		text_config=text_config.to_dict()       ,		**__UpperCAmelCase )





     def 						lowerCAmelCase_   ( self				:	str ):


         """simple docstring"""



         __A   			=		copy.deepcopy(self.__dict__ )
         __A   			=		self.vision_config.to_dict()
         __A   			=		self.text_config.to_dict()
         __A   			=		self.__class__.model_type
         return output









from __future__ import annotations

import random

# Adjacency list representation of this graph:
# https://en.wikipedia.org/wiki/File:Single_run_of_Karger%E2%80%99s_Mincut_algorithm.svg
__A				    =						{
    '''1''': ['''2''', '''3''', '''4''', '''5'''],
    '''2''': ['''1''', '''3''', '''4''', '''5'''],
    '''3''': ['''1''', '''2''', '''4''', '''5''', '''10'''],
    '''4''': ['''1''', '''2''', '''3''', '''5''', '''6'''],
    '''5''': ['''1''', '''2''', '''3''', '''4''', '''7'''],
    '''6''': ['''7''', '''8''', '''9''', '''10''', '''4'''],
    '''7''': ['''6''', '''8''', '''9''', '''10''', '''5'''],
    '''8''': ['''6''', '''7''', '''9''', '''10'''],
    '''9''': ['''6''', '''7''', '''8''', '''10'''],
    '''10''': ['''6''', '''7''', '''8''', '''9''', '''3'''],
}



def        __a     (    lowerCAmelCase_   :					dict[str, list[str]]				)      -> set[tuple[str, str]]:






						'''simple docstring'''



						UpperCAmelCase_=   {node: {node} for node in graph}

						UpperCAmelCase_=   {node: graph[node][:] for node in graph}

						while len(lowerCAmelCase_				) > 2:
												# Choose a random edge.
												UpperCAmelCase_=   random.choice(list(graph_copy.keys()				)				)
												UpperCAmelCase_=   random.choice(graph_copy[u]				)

												# Contract edge (u, v) to new node uv
												UpperCAmelCase_=   u + v
												UpperCAmelCase_=   list(set(graph_copy[u] + graph_copy[v]				)				)
												uv_neighbors.remove(lowerCAmelCase_				)
												uv_neighbors.remove(lowerCAmelCase_				)
												UpperCAmelCase_=   uv_neighbors
												for neighbor in uv_neighbors:
																		graph_copy[neighbor].append(lowerCAmelCase_				)

												UpperCAmelCase_=   set(contracted_nodes[u].union(contracted_nodes[v]				)				)

												# Remove nodes u and v.
												del graph_copy[u]
												del graph_copy[v]
												for neighbor in uv_neighbors:
																		if u in graph_copy[neighbor]:
																								graph_copy[neighbor].remove(lowerCAmelCase_				)
																		if v in graph_copy[neighbor]:
																								graph_copy[neighbor].remove(lowerCAmelCase_				)

    # Find cutset.
						UpperCAmelCase_=   [contracted_nodes[node] for node in graph_copy]
						return {
						    (node, neighbor)
						    for node in groups[0]
						    for neighbor in graph[node]
						    if neighbor in groups[1]
						}


if __name__ == "__main__":
	print(partition_graph(TEST_GRAPH))




