


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


lowerCAmelCase__  :Any             =							logging.get_logger(__name__)

lowerCAmelCase__  :Union[str, Any]             =							{
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}

class 		__a				(    UpperCAmelCase      ):
		_a     :  str           =     'glpn'
		def __init__(      self      ,   _SCREAMING_SNAKE_CASE=3      ,   _SCREAMING_SNAKE_CASE=4      ,   _SCREAMING_SNAKE_CASE=[2, 2, 2, 2]      ,   _SCREAMING_SNAKE_CASE=[8, 4, 2, 1]      ,   _SCREAMING_SNAKE_CASE=[32, 64, 160, 256]      ,   _SCREAMING_SNAKE_CASE=[7, 3, 3, 3]      ,   _SCREAMING_SNAKE_CASE=[4, 2, 2, 2]      ,   _SCREAMING_SNAKE_CASE=[1, 2, 5, 8]      ,   _SCREAMING_SNAKE_CASE=[4, 4, 4, 4]      ,   _SCREAMING_SNAKE_CASE="gelu"      ,   _SCREAMING_SNAKE_CASE=0.0      ,   _SCREAMING_SNAKE_CASE=0.0      ,   _SCREAMING_SNAKE_CASE=0.02      ,   _SCREAMING_SNAKE_CASE=0.1      ,   _SCREAMING_SNAKE_CASE=1e-6      ,   _SCREAMING_SNAKE_CASE=64      ,   _SCREAMING_SNAKE_CASE=10      ,   _SCREAMING_SNAKE_CASE=-1      ,   **_SCREAMING_SNAKE_CASE      ,   )			->	Union[str, Any]:




									"""simple docstring"""





									super().__init__(**_SCREAMING_SNAKE_CASE						)

									_UpperCAmelCase					=      num_channels
									_UpperCAmelCase					=      num_encoder_blocks
									_UpperCAmelCase					=      depths
									_UpperCAmelCase					=      sr_ratios
									_UpperCAmelCase					=      hidden_sizes
									_UpperCAmelCase					=      patch_sizes
									_UpperCAmelCase					=      strides
									_UpperCAmelCase					=      mlp_ratios
									_UpperCAmelCase					=      num_attention_heads
									_UpperCAmelCase					=      hidden_act
									_UpperCAmelCase					=      hidden_dropout_prob
									_UpperCAmelCase					=      attention_probs_dropout_prob
									_UpperCAmelCase					=      initializer_range
									_UpperCAmelCase					=      drop_path_rate
									_UpperCAmelCase					=      layer_norm_eps
									_UpperCAmelCase					=      decoder_hidden_size
									_UpperCAmelCase					=      max_depth
									_UpperCAmelCase					=      head_in_index



from __future__ import annotations

from PIL import Image

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

def 	lowerCAmelCase__			(      a__:		list[list[int]]	)  ->		list[list[int]]:


							'''simple docstring'''





							_UpperCAmelCase					=      []
							for i in range(len(a__	)	):
														_UpperCAmelCase					=      []
														for j in range(len(cells[i]	)	):
																					# Get the number of live neighbours
																					_UpperCAmelCase					=      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.
																					_UpperCAmelCase					=      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'''





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

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

        # Save image
														images.append(a__	)
														_UpperCAmelCase					=      new_generation(a__	)
							return images


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