

import random
import sys

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

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

lowerCAmelCase__       = [0] * 100 + [1] * 10
random.shuffle(choice)
def      _lowerCAmelCase(	__A			):
		UpperCAmelCase					      =  [[False for i in range(__A			)] for j in range(__A			)]
		return canvas
def      _lowerCAmelCase(	__A			):
		for i, row in enumerate(__A			):
				for j, _ in enumerate(__A			):
						UpperCAmelCase					      =  bool(random.getrandbits(1			)			)
def      _lowerCAmelCase(	__A			):
		UpperCAmelCase					      =  np.array(__A			)
		UpperCAmelCase					      =  np.array(create_canvas(current_canvas.shape[0]			)			)
		for r, row in enumerate(__A			):
				for c, pt in enumerate(__A			):
						UpperCAmelCase					      =  __judge_point(
						    __A   ,       current_canvas[r - 1 : r + 2, c - 1 : c + 2]			)

		UpperCAmelCase					      =  next_gen_canvas
		del next_gen_canvas  # cleaning memory as we move on.
		UpperCAmelCase					      =  current_canvas.tolist()
		return return_canvas
def      _lowerCAmelCase(	__A   ,       __A			):
		UpperCAmelCase					      =  0
		UpperCAmelCase					      =  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.
		UpperCAmelCase					      =  pt
		if pt:
				if alive < 2:
						UpperCAmelCase					      =  False
				elif alive == 2 or alive == 3:
						UpperCAmelCase					      =  True
				elif alive > 3:
						UpperCAmelCase					      =  False
		else:
				if alive == 3:
						UpperCAmelCase					      =  True

		return state


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

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






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCAmelCase__       = logging.get_logger(__name__)

lowerCAmelCase__       = {
    "facebook/convnextv2-tiny-1k-224": "https://huggingface.co/facebook/convnextv2-tiny-1k-224/resolve/main/config.json",
}






class 						__magic_name__    (       _snake_case	,						_snake_case    ):
 UpperCAmelCase							    =						"""convnextv2"""


 def __init__(						self		: Optional[Any]			,						lowerCAmelCase__		: List[Any]=3			,						lowerCAmelCase__		: str=4			,						lowerCAmelCase__		: Dict=4			,						lowerCAmelCase__		: Optional[Any]=None			,						lowerCAmelCase__		: Optional[Any]=None			,						lowerCAmelCase__		: str="gelu"			,						lowerCAmelCase__		: Optional[int]=0.02			,						lowerCAmelCase__		: Dict=1e-1_2			,						lowerCAmelCase__		: str=0.0			,						lowerCAmelCase__		: str=2_2_4			,						lowerCAmelCase__		: int=None			,						lowerCAmelCase__		: List[Any]=None			,						**lowerCAmelCase__		: List[Any]			,						)    ->      List[Any]:
   super().__init__(**lowerCAmelCase__    )

   UpperCAmelCase					      =  num_channels
   UpperCAmelCase					      =  patch_size
   UpperCAmelCase					      =  num_stages
   UpperCAmelCase					      =  [9_6, 1_9_2, 3_8_4, 7_6_8] if hidden_sizes is None else hidden_sizes
   UpperCAmelCase					      =  [3, 3, 9, 3] if depths is None else depths
   UpperCAmelCase					      =  hidden_act
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  layer_norm_eps
   UpperCAmelCase					      =  drop_path_rate
   UpperCAmelCase					      =  image_size
   UpperCAmelCase					      =  ["stem"] + [f"stage{idx}" for idx in range(1			,						len(self.depths    ) + 1    )]
   UpperCAmelCase      ,	UpperCAmelCase					      =  get_aligned_output_features_output_indices(
       out_features=lowerCAmelCase__			,						out_indices=lowerCAmelCase__			,						stage_names=self.stage_names    )



