


"""simple docstring"""







import random
import sys

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

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

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


def 					lowercase      (    A_	)->				list[list[bool]]:
  '''simple docstring'''







  a						:		List[Any]											=      [[False for i in range(__lowerCAmelCase	)] for j in range(__lowerCAmelCase	)]
  return canvas


def 					lowercase      (    A_	)->				None:
  '''simple docstring'''







  for i, row in enumerate(__lowerCAmelCase	):
    for j, _ in enumerate(__lowerCAmelCase	):
      a						:		str											=      bool(random.getrandbits(1	)	)


def 					lowercase      (    A_	)->				list[list[bool]]:
  '''simple docstring'''







  a						:		Union[str, Any]											=      np.array(__lowerCAmelCase	)
  a						:		str											=      np.array(create_canvas(current_canvas.shape[0]	)	)
  for r, row in enumerate(__lowerCAmelCase	):
    for c, pt in enumerate(__lowerCAmelCase	):
      a						:		Tuple											=      __judge_point(
          __lowerCAmelCase  ,       current_canvas[r - 1 : r + 2, c - 1 : c + 2]	)

  a						:		str											=      next_gen_canvas
  del next_gen_canvas  # cleaning memory as we move on.
  a						:		Optional[Any]											=      current_canvas.tolist()
  return return_canvas


def 					lowercase      (    A_  ,       A_	)->				bool:
  '''simple docstring'''







  a						:		Optional[Any]											=      0
  a						:		List[Any]											=      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.
  a						:		Any											=      pt
  if pt:
    if alive < 2:
      a						:		Tuple											=      False
    elif alive == 2 or alive == 3:
      a						:		List[str]											=      True
    elif alive > 3:
      a						:		Any											=      False
  else:
    if alive == 3:
      a						:		Optional[int]											=      True

  return state


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

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








"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


__lowercase    =				logging.get_logger(__name__)






class 						_A  (  _a  ):







    """simple docstring"""




    def __init__( self    :   List[Any]    ,			*__UpperCAmelCase    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      warnings.warn(
          "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use DPTImageProcessor instead."    ,			__UpperCAmelCase    ,			)
      super().__init__(*__UpperCAmelCase    ,			**__UpperCAmelCase)






