

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    )



