

import random
import sys

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

A_       : Optional[Any]         =			'Usage of script: script_name <size_of_canvas:int>'

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

def 						UpperCamelCase					(lowercase_: int					)     ->      list[list[bool]]:
	A__							:    Optional[int]        =		[[False for i in range(lowercase_					)] for j in range(lowercase_					)]
	return canvas

def 						UpperCamelCase					(lowercase_: list[list[bool]]					)     ->      None:
	for i, row in enumerate(lowercase_					):
		for j, _ in enumerate(lowercase_					):
			A__							:    List[Any]        =		bool(random.getrandbits(1					)					)

def 						UpperCamelCase					(lowercase_: list[list[bool]]					)     ->      list[list[bool]]:
	A__							:    Any        =		np.array(lowercase_					)
	A__							:    Any        =		np.array(create_canvas(current_canvas.shape[0]					)					)
	for r, row in enumerate(lowercase_					):
		for c, pt in enumerate(lowercase_					):
			A__							:    List[Any]        =		__judge_point(
			    lowercase_    ,      current_canvas[r - 1 : r + 2, c - 1 : c + 2]					)

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

def 						UpperCamelCase					(lowercase_: bool    ,      lowercase_: list[list[bool]]					)     ->      bool:
	A__							:    Dict        =		0
	A__							:    Dict        =		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__							:    str        =		pt
	if pt:
		if alive < 2:
			A__							:    Union[str, Any]        =		False
		elif alive == 2 or alive == 3:
			A__							:    Union[str, Any]        =		True
		elif alive > 3:
			A__							:    Optional[int]        =		False
	else:
		if alive == 3:
			A__							:    List[str]        =		True

	return state


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

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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_       : Optional[int]         =			{'configuration_ibert': ['IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'IBertConfig', 'IBertOnnxConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_       : str         =			[
	    'IBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'IBertForMaskedLM',
	    'IBertForMultipleChoice',
	    'IBertForQuestionAnswering',
	    'IBertForSequenceClassification',
	    'IBertForTokenClassification',
	    'IBertModel',
	    'IBertPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_ibert import (
		    IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    IBertForMaskedLM,
		    IBertForMultipleChoice,
		    IBertForQuestionAnswering,
		    IBertForSequenceClassification,
		    IBertForTokenClassification,
		    IBertModel,
		    IBertPreTrainedModel,
		)

else:
	import sys

	A_       : Union[str, Any]         =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



