





"""simple docstring"""
from typing import List, Optional, Union

import numpy as np
import PIL.Image

from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import rescale, resize, to_channel_dimension_format
from ...image_utils import (
    ChannelDimension,
    PILImageResampling,
    get_image_size,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


__UpperCamelCase     :						List[str]						       =  logging.get_logger(__name__)







class       a							(   a__  ):
 snake_case__             =       ['''pixel_values''']



 def __init__(     self				,       _snake_case = True				,       _snake_case = 32				,       _snake_case=PILImageResampling.BILINEAR				,       _snake_case = True				,       **_snake_case				,       ):







  """simple docstring"""






  lowerCAmelCase    				= do_resize
  lowerCAmelCase    				= do_rescale
  lowerCAmelCase    				= size_divisor
  lowerCAmelCase    				= resample
  super().__init__(**_snake_case     )



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case				,       _snake_case				,       _snake_case = None				,       **_snake_case     ):







  """simple docstring"""






  lowerCAmelCase				,lowerCAmelCase    				= get_image_size(_snake_case     )
  # Rounds the height and width down to the closest multiple of size_divisor
  lowerCAmelCase    				= height // size_divisor * size_divisor
  lowerCAmelCase    				= width // size_divisor * size_divisor
  lowerCAmelCase    				= resize(_snake_case				,       (new_h, new_w)				,       resample=_snake_case				,       data_format=_snake_case				,       **_snake_case     )
  return image



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case				,       _snake_case = None				,       **_snake_case     ):







  """simple docstring"""






  return rescale(image=_snake_case				,       scale=_snake_case				,       data_format=_snake_case				,       **_snake_case     )



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case = None				,       _snake_case = None				,       _snake_case=None				,       _snake_case = None				,       _snake_case = None				,       _snake_case = ChannelDimension.FIRST				,       **_snake_case				,       ):







  """simple docstring"""






  lowerCAmelCase    				= do_resize if do_resize is not None else self.do_resize
  lowerCAmelCase    				= do_rescale if do_rescale is not None else self.do_rescale
  lowerCAmelCase    				= size_divisor if size_divisor is not None else self.size_divisor
  lowerCAmelCase    				= resample if resample is not None else self.resample

  if do_resize and size_divisor is None:
   raise ValueError('size_divisor is required for resizing'     )

  lowerCAmelCase    				= make_list_of_images(_snake_case     )

  if not valid_images(_snake_case     ):
   raise ValueError('Invalid image(s)'     )

  # All transformations expect numpy arrays.
  lowerCAmelCase    				= [to_numpy_array(_snake_case     ) for img in images]

  if do_resize:
   lowerCAmelCase    				= [self.resize(_snake_case				,       size_divisor=_snake_case				,       resample=_snake_case     ) for image in images]

  if do_rescale:
   lowerCAmelCase    				= [self.rescale(_snake_case				,       scale=1 / 2_55     ) for image in images]

  lowerCAmelCase    				= [to_channel_dimension_format(_snake_case				,       _snake_case     ) for image in images]

  lowerCAmelCase    				= {'pixel_values': images}
  return BatchFeature(data=_snake_case				,       tensor_type=_snake_case     )












"""simple docstring"""
from __future__ import annotations

import os
from collections.abc import Mapping

__UpperCamelCase     :						Optional[Any]						       =  tuple[int, int]







class       a							:



 def __init__(     self				,       _snake_case				,       _snake_case     ):







  """simple docstring"""






  lowerCAmelCase    				= vertices
  lowerCAmelCase    				= {
      (min(_snake_case     ), max(_snake_case     )): weight for edge, weight in edges.items()
  }



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case     ):







  """simple docstring"""






  self.vertices.add(edge[0]     )
  self.vertices.add(edge[1]     )
  lowerCAmelCase    				= weight



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= Graph({min(self.vertices     )}				,       {}     )
  lowerCAmelCase    				= 42
  lowerCAmelCase    				= 42
  lowerCAmelCase    				= 42
  lowerCAmelCase    				= 42

  while len(subgraph.vertices     ) < len(self.vertices     ):
   lowerCAmelCase    				= 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:
      lowerCAmelCase    				= edge
      lowerCAmelCase    				= weight

   subgraph.add_edge(_snake_case				,       _snake_case     )

  return subgraph


def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str = "p107_network.txt"			):
 lowerCAmelCase    				= os.path.abspath(os.path.dirname(_UpperCAmelCase			)			)
 lowerCAmelCase    				= os.path.join(_UpperCAmelCase  ,     _UpperCAmelCase			)
 lowerCAmelCase    				= {}
 lowerCAmelCase    				= 42
 lowerCAmelCase    				= 42
 lowerCAmelCase    				= 42

 with open(_UpperCAmelCase			) as f:
  lowerCAmelCase    				= f.read().strip().split('\n'			)

 lowerCAmelCase    				= [line.split(','			) for line in data]

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

 lowerCAmelCase    				= Graph(set(range(len(_UpperCAmelCase			)			)			)  ,     _UpperCAmelCase			)

 lowerCAmelCase    				= graph.prims_algorithm()

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

 return initial_total - optimal_total


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





