

'''simple docstring'''


class     a			:  # Public class to implement a graph






						"""simple docstring"""




						def __init__(							self					:      int			,			snake_case_					:      int			,			snake_case_					:      int			,			snake_case_					:      list[list[bool]]  ):



								'''simple docstring'''



								snake_case__						:       List[str]       						=  row
								snake_case__						:       str       						=  col
								snake_case__						:       Any       						=  graph







						def       __magic_name__							(							self					:      Tuple			,			snake_case_					:      int			,			snake_case_					:      int			,			snake_case_					:      list[list[bool]]  ):



								'''simple docstring'''



								return (
								    0 <= i < self.ROW
								    and 0 <= j < self.COL
								    and not visited[i][j]
								    and self.graph[i][j]
								)







						def       __magic_name__							(							self					:      Tuple			,			snake_case_					:      int			,			snake_case_					:      int			,			snake_case_					:      list[list[bool]]  ):



								'''simple docstring'''



								snake_case__						:       List[str]       						=  [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
								snake_case__						:       List[str]       						=  [-1, 0, 1, -1, 1, -1, 0, 1]
								snake_case__						:       Any       						=  True  # Make those cells visited
								for k in range(8  ):
										if self.is_safe(i + row_nbr[k]			,			j + col_nbr[k]			,			snake_case_  ):
												self.diffs(i + row_nbr[k]			,			j + col_nbr[k]			,			snake_case_  )







						def       __magic_name__							(							self					:      Union[str, Any]  ):  # And finally, count all islands.



								'''simple docstring'''



								snake_case__						:       Optional[int]       						=  [[False for j in range(self.COL  )] for i in range(self.ROW  )]
								snake_case__						:       Optional[Any]       						=  0
								for i in range(self.ROW  ):
										for j in range(self.COL  ):
												if visited[i][j] is False and self.graph[i][j] == 1:
														self.diffs(snake_case_			,			snake_case_			,			snake_case_  )
														count += 1
								return count






'''simple docstring'''


import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
					import jax




@require_flax
class     a			(				SCREAMING_SNAKE_CASE			,			unittest.TestCase       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    FlaxAutoencoderKL







						@property
						def       __magic_name__							(							self					:      str  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  4
								snake_case__						:       Optional[Any]       						=  3
								snake_case__						:       Optional[int]       						=  (3_2, 3_2)

								snake_case__						:       Optional[int]       						=  jax.random.PRNGKey(0  )
								snake_case__						:       Union[str, Any]       						=  jax.random.uniform(snake_case_			,			((batch_size, num_channels) + sizes)  )

								return {"sample": image, "prng_key": prng_key}







						def       __magic_name__							(							self					:      Union[str, Any]  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  {
								    '''block_out_channels''': [3_2, 6_4],
								    '''in_channels''': 3,
								    '''out_channels''': 3,
								    '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
								    '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
								    '''latent_channels''': 4,
								}
								snake_case__						:       Dict       						=  self.dummy_input
								return init_dict, inputs_dict



