


"""simple docstring"""






import random
import sys

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

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

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


def     _lowercase       (						__snake_case			)		->     list[list[bool]]:
			__lowerCAmelCase   :						str				= [[False for i in range(__lowerCAmelCase			)] for j in range(__lowerCAmelCase			)]
			return canvas


def     _lowercase       (						__snake_case			)		->     None:


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


def     _lowercase       (						__snake_case			)		->     list[list[bool]]:
			__lowerCAmelCase   :						List[str]				= np.array(__lowerCAmelCase			)
			__lowerCAmelCase   :						Optional[Any]				= np.array(create_canvas(current_canvas.shape[0]			)			)
			for r, row in enumerate(__lowerCAmelCase			):
						for c, pt in enumerate(__lowerCAmelCase			):
									__lowerCAmelCase   :						Dict				= __judge_point(
									    __lowerCAmelCase      ,current_canvas[r - 1 : r + 2, c - 1 : c + 2]			)

			__lowerCAmelCase   :						int				= next_gen_canvas
			del next_gen_canvas  # cleaning memory as we move on.
			__lowerCAmelCase   :						Any				= current_canvas.tolist()
			return return_canvas


def     _lowercase       (						__snake_case      ,__snake_case			)		->     bool:
			__lowerCAmelCase   :						str				= 0
			__lowerCAmelCase   :						Optional[int]				= 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   :						int				= pt
			if pt:
						if alive < 2:
									__lowerCAmelCase   :						List[Any]				= False
						elif alive == 2 or alive == 3:
									__lowerCAmelCase   :						Any				= True
						elif alive > 3:
									__lowerCAmelCase   :						Any				= False
			else:
						if alive == 3:
									__lowerCAmelCase   :						Tuple				= True

			return state


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

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




"""simple docstring"""






import re

from filelock import FileLock


try:
	import nltk

	__snake_case							:     Any   =					True
except (ImportError, ModuleNotFoundError):
	__snake_case							:     Optional[int]   =					False

if NLTK_AVAILABLE:
	with FileLock('.lock') as lock:
		nltk.download('punkt', quiet=True)


def     _lowercase       (						__snake_case			)		->     str:
			re.sub("<n>"      ,""      ,__snake_case			)  # remove pegasus newline char
			assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
			return "\n".join(nltk.sent_tokenize(__snake_case			)			)