


import random
import sys

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

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

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



def   snake_case						(				_a:     Optional[int]							)->		Dict:
      '''simple docstring'''


      lowerCamelCase__           =		[[False for i in range(__A							)] for j in range(__A							)]
      return canvas



def   snake_case						(				_a:     Any							)->		Dict:
      '''simple docstring'''


      for i, row in enumerate(__A							):
            for j, _ in enumerate(__A							):
                  lowerCamelCase__           =		bool(random.getrandbits(1							)							)



def   snake_case						(				_a:     Tuple							)->		Optional[int]:
      '''simple docstring'''


      lowerCamelCase__           =		np.array(__A							)
      lowerCamelCase__           =		np.array(create_canvas(current_canvas.shape[0]							)							)
      for r, row in enumerate(__A							):
            for c, pt in enumerate(__A							):
                  lowerCamelCase__           =		__judge_point(
                      __A		,   current_canvas[r - 1 : r + 2, c - 1 : c + 2]							)

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



def   snake_case						(				_a:     Union[str, Any]		,   _a:     Union[str, Any]							)->		Tuple:
      '''simple docstring'''


      lowerCamelCase__           =		0
      lowerCamelCase__           =		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.
      lowerCamelCase__           =		pt
      if pt:
            if alive < 2:
                  lowerCamelCase__           =		False
            elif alive == 2 or alive == 3:
                  lowerCamelCase__           =		True
            elif alive > 3:
                  lowerCamelCase__           =		False
      else:
            if alive == 3:
                  lowerCamelCase__           =		True

      return state


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

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







"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_snake_case          =							{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

   _snake_case          =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



