





'''simple docstring'''




import random
import sys

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

_SCREAMING_SNAKE_CASE							     =			"Usage of script: script_name <size_of_canvas:int>"

_SCREAMING_SNAKE_CASE							     =			[0] * 100 + [1] * 10
random.shuffle(choice)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							int		)		->  list[list[bool]]:
   snake_case 						=   [[False for i in range(__lowerCAmelCase		)] for j in range(__lowerCAmelCase		)]
   return canvas





def 	__lowerCamelCase			(      __lowerCAmelCase       :							list[list[bool]]		)		->  None:
   for i, row in enumerate(__lowerCAmelCase		):
      for j, _ in enumerate(__lowerCAmelCase		):
         snake_case 						=   bool(random.getrandbits(1		)		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							list[list[bool]]		)		->  list[list[bool]]:
   snake_case 						=   np.array(__lowerCAmelCase		)
   snake_case 						=   np.array(create_canvas(current_canvas.shape[0]		)		)
   for r, row in enumerate(__lowerCAmelCase		):
      for c, pt in enumerate(__lowerCAmelCase		):
         snake_case 						=   __judge_point(
             __lowerCAmelCase      ,    current_canvas[r - 1 : r + 2, c - 1 : c + 2]		)

   snake_case 						=   next_gen_canvas
   del next_gen_canvas  # cleaning memory as we move on.
   snake_case 						=   current_canvas.tolist()
   return return_canvas





def 	__lowerCamelCase			(      __lowerCAmelCase       :							bool      ,    __lowerCAmelCase       :							list[list[bool]]		)		->  bool:
   snake_case 						=   0
   snake_case 						=   0
   # finding dead or alive neighbours count.
   for i in neighbours:
      for status in i:
         if status:
            alive += 1
         else:
            dead += 1

    # handling duplicate entry for focus pt.
   if pt:
      alive -= 1
   else:
      dead -= 1

   # running the rules of game here.
   snake_case 						=   pt
   if pt:
      if alive < 2:
         snake_case 						=   False
      elif alive == 2 or alive == 3:
         snake_case 						=   True
      elif alive > 3:
         snake_case 						=   False
   else:
      if alive == 3:
         snake_case 						=   True

   return state


if __name__ == "__main__":
 if len(sys.argv) != 2:
  raise Exception(usage_doc)

 _SCREAMING_SNAKE_CASE							     =			int(sys.argv[1])
 # main working structure of this module.
 _SCREAMING_SNAKE_CASE							     =			create_canvas(canvas_size)
 seed(c)
 _SCREAMING_SNAKE_CASE     ,					_SCREAMING_SNAKE_CASE							     =			plt.subplots()
 fig.show()
 _SCREAMING_SNAKE_CASE							     =			ListedColormap(["w", "k"])
 try:
  while True:
   _SCREAMING_SNAKE_CASE							     =			run(c)
   ax.matshow(c, cmap=cmap)
   fig.canvas.draw()
   ax.cla()
 except KeyboardInterrupt:
  # do nothing.
  pass








'''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() = }""")

