'''simple docstring'''

import random
import sys

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

UpperCamelCase__     :	int				=			'Usage of script: script_name <size_of_canvas:int>'

UpperCamelCase__     :	Any				=			[0] * 100 + [1] * 10
random.shuffle(choice)







def __UpperCamelCase(   _A					:				int    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Tuple   				=  [[False for i in range(_A    )] for j in range(_A    )]
   return canvas







def __UpperCamelCase(   _A					:				list[list[bool]]    ):
   '''simple docstring'''
   for i, row in enumerate(_A    ):
      for j, _ in enumerate(_A    ):
         UpperCAmelCase__							:				List[str]   				=  bool(random.getrandbits(1    )    )







def __UpperCamelCase(   _A					:				list[list[bool]]    ):
   '''simple docstring'''
   UpperCAmelCase__							:				str   				=  np.array(_A    )
   UpperCAmelCase__							:				Optional[Any]   				=  np.array(create_canvas(current_canvas.shape[0]    )    )
   for r, row in enumerate(_A    ):
      for c, pt in enumerate(_A    ):
         UpperCAmelCase__							:				List[Any]   				=  __judge_point(
             _A  ,			current_canvas[r - 1 : r + 2, c - 1 : c + 2]    )

   UpperCAmelCase__							:				int   				=  next_gen_canvas
   del next_gen_canvas  # cleaning memory as we move on.
   UpperCAmelCase__							:				list[list[bool]]   				=  current_canvas.tolist()
   return return_canvas







def __UpperCamelCase(   _A					:				bool  ,			_A					:				list[list[bool]]    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Optional[Any]   				=  0
   UpperCAmelCase__							:				List[str]   				=  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.
   UpperCAmelCase__							:				Optional[Any]   				=  pt
   if pt:
      if alive < 2:
         UpperCAmelCase__							:				List[str]   				=  False
      elif alive == 2 or alive == 3:
         UpperCAmelCase__							:				Tuple   				=  True
      elif alive > 3:
         UpperCAmelCase__							:				Optional[int]   				=  False
   else:
      if alive == 3:
         UpperCAmelCase__							:				List[Any]   				=  True

   return state


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

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





'''simple docstring'''

import math







def __UpperCamelCase(   _A					:				float  ,			_A					:				float    ):
   '''simple docstring'''
   return math.pow(_A  ,			2    ) - a







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   return 2 * x







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  2.0

   while start <= a:
      UpperCAmelCase__							:				int   				=  math.pow(_A  ,			2    )

   return start







def __UpperCamelCase(   _A					:				float  ,			_A					:				int = 99_99  ,			_A					:				float = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1    ):
   '''simple docstring'''

   if a < 0:
      raise ValueError('''math domain error'''    )

   UpperCAmelCase__							:				Any   				=  get_initial_point(_A    )

   for _ in range(_A    ):
      UpperCAmelCase__							:				Optional[Any]   				=  value
      UpperCAmelCase__							:				Tuple   				=  value - fx(_A  ,			_A    ) / fx_derivative(_A    )
      if abs(prev_value - value    ) < tolerance:
         return value

   return value


if __name__ == "__main__":
  from doctest import testmod

  testmod()




