





from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A    :					List[str] =      logging.get_logger(__name__)

A    :					Union[str, Any] =      {
    '''snap-research/efficientformer-l1-300''': (
        '''https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'''
    ),
}


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			__lowerCamelCase	:       Tuple							=    '''efficientformer'''






			def __init__(			self   :    List[Any]							,	__lowerCAmelCase   :    List[int] = [3, 2, 6, 4]							,	__lowerCAmelCase   :    List[int] = [48, 96, 2_24, 4_48]							,	__lowerCAmelCase   :    List[bool] = [True, True, True, True]							,	__lowerCAmelCase   :    int = 4_48							,	__lowerCAmelCase   :    int = 32							,	__lowerCAmelCase   :    int = 4							,	__lowerCAmelCase   :    int = 7							,	__lowerCAmelCase   :    int = 5							,	__lowerCAmelCase   :    int = 8							,	__lowerCAmelCase   :    int = 4							,	__lowerCAmelCase   :    float = 0.0							,	__lowerCAmelCase   :    int = 16							,	__lowerCAmelCase   :    int = 3							,	__lowerCAmelCase   :    int = 3							,	__lowerCAmelCase   :    int = 3							,	__lowerCAmelCase   :    int = 2							,	__lowerCAmelCase   :    int = 1							,	__lowerCAmelCase   :    float = 0.0							,	__lowerCAmelCase   :    int = 1							,	__lowerCAmelCase   :    bool = True							,	__lowerCAmelCase   :    bool = True							,	__lowerCAmelCase   :    float = 1e-5							,	__lowerCAmelCase   :    str = "gelu"							,	__lowerCAmelCase   :    float = 0.0_2							,	__lowerCAmelCase   :    float = 1e-12							,	__lowerCAmelCase   :    int = 2_24							,	__lowerCAmelCase   :    float = 1e-05							,	**__lowerCAmelCase   :    Optional[Any]							,	)	->	None:







					"""simple docstring"""






					super().__init__(**__lowerCAmelCase   )

					A__        =   hidden_act
					A__        =   hidden_dropout_prob
					A__        =   hidden_sizes
					A__        =   num_hidden_layers
					A__        =   num_attention_heads
					A__        =   initializer_range
					A__        =   layer_norm_eps
					A__        =   patch_size
					A__        =   num_channels
					A__        =   depths
					A__        =   mlp_expansion_ratio
					A__        =   downsamples
					A__        =   dim
					A__        =   key_dim
					A__        =   attention_ratio
					A__        =   resolution
					A__        =   pool_size
					A__        =   downsample_patch_size
					A__        =   downsample_stride
					A__        =   downsample_pad
					A__        =   drop_path_rate
					A__        =   num_metaad_blocks
					A__        =   distillation
					A__        =   use_layer_scale
					A__        =   layer_scale_init_value
					A__        =   image_size
					A__        =   batch_norm_eps










from __future__ import annotations

from PIL import Image

# Define glider example
A    :					Any =      [
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
A    :					Optional[Any] =      [[0, 1, 0], [0, 1, 0], [0, 1, 0]]







def    __lowerCamelCase					(							__a   :list[list[int]]    )		->				list[list[int]]:






		"""simple docstring"""

		A__        =   []
		for i in range(len(__a    )    ):
				A__        =   []
				for j in range(len(cells[i]    )    ):
						# Get the number of live neighbours
						A__        =   0
						if i > 0 and j > 0:
								neighbour_count += cells[i - 1][j - 1]
						if i > 0:
								neighbour_count += cells[i - 1][j]
						if i > 0 and j < len(cells[i]    ) - 1:
								neighbour_count += cells[i - 1][j + 1]
						if j > 0:
								neighbour_count += cells[i][j - 1]
						if j < len(cells[i]    ) - 1:
								neighbour_count += cells[i][j + 1]
						if i < len(__a    ) - 1 and j > 0:
								neighbour_count += cells[i + 1][j - 1]
						if i < len(__a    ) - 1:
								neighbour_count += cells[i + 1][j]
						if i < len(__a    ) - 1 and j < len(cells[i]    ) - 1:
								neighbour_count += cells[i + 1][j + 1]

						# Rules of the game of life (excerpt from Wikipedia):
						# 1. Any live cell with two or three live neighbours survives.
						# 2. Any dead cell with three live neighbours becomes a live cell.
						# 3. All other live cells die in the next generation.
						#    Similarly, all other dead cells stay dead.
						A__        =   cells[i][j] == 1
						if (
						    (alive and 2 <= neighbour_count <= 3)
						    or not alive
						    and neighbour_count == 3
						):
								next_generation_row.append(1    )
						else:
								next_generation_row.append(0    )

				next_generation.append(__a    )
		return next_generation







def    __lowerCamelCase					(							__a   :list[list[int]]    ,     __a   :int    )		->				list[Image.Image]:






		"""simple docstring"""

		A__        =   []
		for _ in range(__a    ):
				# Create output image
				A__        =   Image.new("""RGB"""    ,     (len(cells[0]    ), len(__a    ))    )
				A__        =   img.load()

				# Save cells to image
				for x in range(len(__a    )    ):
						for y in range(len(cells[0]    )    ):
								A__        =   2_5_5 - cells[y][x] * 2_5_5
								A__        =   (colour, colour, colour)

        # Save image
				images.append(__a    )
				A__        =   new_generation(__a    )
		return images


if __name__ == "__main__":
					A    :					str =      generate_images(GLIDER, 1_6)
					images[0].save('''out.gif''', save_all=True, append_images=images[1:])



