




'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

_snake_case : str  				=						{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}

class      A       (						_a       ):
							lowercase_							     =							'yolos'







							def __init__(    self			:    int				,     lowerCAmelCase_			:    Dict=7_68				,     lowerCAmelCase_			:    List[Any]=12				,     lowerCAmelCase_			:    str=12				,     lowerCAmelCase_			:    Any=30_72				,     lowerCAmelCase_			:    Any="gelu"				,     lowerCAmelCase_			:    List[str]=0.0				,     lowerCAmelCase_			:    Optional[Any]=0.0				,     lowerCAmelCase_			:    Any=0.0_2				,     lowerCAmelCase_			:    Any=1e-12				,     lowerCAmelCase_			:    Any=[5_12, 8_64]				,     lowerCAmelCase_			:    Dict=16				,     lowerCAmelCase_			:    int=3				,     lowerCAmelCase_			:    Union[str, Any]=True				,     lowerCAmelCase_			:    Union[str, Any]=1_00				,     lowerCAmelCase_			:    Optional[Any]=True				,     lowerCAmelCase_			:    Optional[Any]=False				,     lowerCAmelCase_			:    Tuple=1				,     lowerCAmelCase_			:    List[Any]=5				,     lowerCAmelCase_			:    Union[str, Any]=2				,     lowerCAmelCase_			:    List[str]=5				,     lowerCAmelCase_			:    Dict=2				,     lowerCAmelCase_			:    Optional[Any]=0.1				,     **lowerCAmelCase_			:    Optional[Any]				,     )     ->				Any:


														"""simple docstring"""


														super().__init__(**lowerCAmelCase_   )

														_a      	=							hidden_size
														_a      	=							num_hidden_layers
														_a      	=							num_attention_heads
														_a      	=							intermediate_size
														_a      	=							hidden_act
														_a      	=							hidden_dropout_prob
														_a      	=							attention_probs_dropout_prob
														_a      	=							initializer_range
														_a      	=							layer_norm_eps
														_a      	=							image_size
														_a      	=							patch_size
														_a      	=							num_channels
														_a      	=							qkv_bias
														_a      	=							num_detection_tokens
														_a      	=							use_mid_position_embeddings
														_a      	=							auxiliary_loss
														# Hungarian matcher
														_a      	=							class_cost
														_a      	=							bbox_cost
														_a      	=							giou_cost
														# Loss coefficients
														_a      	=							bbox_loss_coefficient
														_a      	=							giou_loss_coefficient
														_a      	=							eos_coefficient



class      A       (						_a       ):
							lowercase_							     =							version.parse('1.11'       )







							@property
							def   __lowerCAmelCase     (    self			:    Any   )     ->				Mapping[str, Mapping[int, str]]:


														"""simple docstring"""


														return OrderedDict(
														    [
														        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
														    ]   )







							@property
							def   __lowerCAmelCase     (    self			:    Tuple   )     ->				float:


														"""simple docstring"""


														return 1e-4







							@property
							def   __lowerCAmelCase     (    self			:    Tuple   )     ->				int:


														"""simple docstring"""


														return 12








'''simple docstring'''




from __future__ import annotations

import os
from collections.abc import Mapping

_SCREAMING_SNAKE_CASE							     =			tuple[int, int]
class 			_lowerCAmelCase		:






     """simple docstring"""






     def __init__(   self							:			List[Any]   ,       __snake_case							:			set[int]   ,       __snake_case							:			Mapping[EdgeT, int]						)->	None:
        snake_case 						=   vertices
        snake_case 						=   {
            (min(__snake_case						), max(__snake_case						)): weight for edge, weight in edges.items()
        }



     def      lowerCAmelCase			(   self							:			Optional[Any]   ,       __snake_case							:			EdgeT   ,       __snake_case							:			int						)->	None:
        self.vertices.add(edge[0]						)
        self.vertices.add(edge[1]						)
        snake_case 						=   weight



     def      lowerCAmelCase			(   self							:			str						)->	Graph:
        snake_case 						=   Graph({min(self.vertices						)}   ,       {}						)
        snake_case 						=   42
        snake_case 						=   42
        snake_case 						=   42
        snake_case 						=   42

        while len(subgraph.vertices						) < len(self.vertices						):
           snake_case 						=   max(self.edges.values()						) + 1
           for edge, weight in self.edges.items():
              if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
                 if weight < min_weight:
                    snake_case 						=   edge
                    snake_case 						=   weight

           subgraph.add_edge(__snake_case   ,       __snake_case						)

        return subgraph





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "p107_network.txt"		)		->  int:
   snake_case 						=   os.path.abspath(os.path.dirname(__lowerCAmelCase		)		)
   snake_case 						=   os.path.join(__lowerCAmelCase      ,    __lowerCAmelCase		)
   snake_case 						=   {}
   snake_case 						=   42
   snake_case 						=   42
   snake_case 						=   42

   with open(__lowerCAmelCase		) as f:
      snake_case 						=   f.read().strip().split("""\n"""		)

   snake_case 						=   [line.split(""","""		) for line in data]

   for edgea in range(1      ,    len(__lowerCAmelCase		)		):
      for edgea in range(__lowerCAmelCase		):
         if adjaceny_matrix[edgea][edgea] != "-":
            snake_case 						=   int(adjaceny_matrix[edgea][edgea]		)

   snake_case 						=   Graph(set(range(len(__lowerCAmelCase		)		)		)      ,    __lowerCAmelCase		)

   snake_case 						=   graph.prims_algorithm()

   snake_case 						=   sum(graph.edges.values()		)
   snake_case 						=   sum(subgraph.edges.values()		)

   return initial_total - optimal_total


if __name__ == "__main__":
 print(F"""{solution() = }""")

