


from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
A :	Union[str, Any]												=     [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]






def 				UpperCamelCase      (			__magic_name__  :							int  )     ->						list[int]:
		"""simple docstring"""




		return [int(__magic_name__  ) for c in f'''{ruleset:08}'''[:8]]






def 				UpperCamelCase      (			__magic_name__  :							list[list[int]]					,					__magic_name__  :							list[int]					,					__magic_name__  :							int  )     ->						list[int]:
		"""simple docstring"""




		lowercase__      =	len(cells[0]  )  # 31
		lowercase__      =	[]
		for i in range(__magic_name__  ):
				# Get the neighbors of each cell
				# Handle neighbours outside bounds by using 0 as their value
				lowercase__      =	0 if i == 0 else cells[time][i - 1]
				lowercase__      =	0 if i == population - 1 else cells[time][i + 1]
				# Define a new cell and add it to the new generation
				lowercase__      =	7 - int(f'''{left_neighbor}{cells[time][i]}{right_neighbor}'''					,					2  )
				next_generation.append(rule[situation]  )
		return next_generation






def 				UpperCamelCase      (			__magic_name__  :							list[list[int]]  )     ->						Image.Image:
		"""simple docstring"""




		lowercase__      =	Image.new("""RGB"""					,					(len(cells[0]  ), len(__magic_name__  ))  )
		lowercase__      =	img.load()
		# Generates image
		for w in range(img.width  ):
				for h in range(img.height  ):
						lowercase__      =	255 - int(255 * cells[h][w]  )
						lowercase__      =	(color, color, color)
		return img


if __name__ == "__main__":
	A :	Union[str, Any]												=     bin(int(input('Rule:\n').strip()))[2:]
	A :	List[str]												=     format_ruleset(int(rule_num))
	for time in range(1_6):
		CELLS.append(new_generation(CELLS, rule, time))
	A :	Any												=     generate_image(CELLS)
	# Uncomment to save the image
	# img.save(f"rule_{rule_num}.png")
	img.show()





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


A :	int												=     {
    'configuration_rwkv': ['RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RwkvConfig', 'RwkvOnnxConfig'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A :	List[Any]												=     [
	    'RWKV_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'RwkvForCausalLM',
	    'RwkvModel',
	    'RwkvPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_rwkv import (
		    RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
		    RwkvForCausalLM,
		    RwkvModel,
		    RwkvPreTrainedModel,
		)
else:
	import sys

	A :	Optional[int]												=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

