





'''simple docstring'''

from __future__ import annotations







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if (direction == 1 and array[indexa] > array[indexa]) or (
				    direction == 0 and array[indexa] < array[indexa]
				):
								lowercase   ,							lowercase         = array[indexa], array[indexa]







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if length > 1:
								lowercase         = int(length / 2							)
								for i in range(lowerCAmelCase_		,							low + middle							):
												comp_and_swap(lowerCAmelCase_		,							lowerCAmelCase_		,							i + middle		,							lowerCAmelCase_							)
								bitonic_merge(lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							)
								bitonic_merge(lowerCAmelCase_		,							low + middle		,							lowerCAmelCase_		,							lowerCAmelCase_							)







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if length > 1:
								lowercase         = int(length / 2							)
								bitonic_sort(lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							1							)
								bitonic_sort(lowerCAmelCase_		,							low + middle		,							lowerCAmelCase_		,							0							)
								bitonic_merge(lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_							)


if __name__ == "__main__":
			__lowerCamelCase : List[Any]											=			input("Enter numbers separated by a comma:\n").strip()
			__lowerCamelCase : Union[str, Any]											=			[int(item.strip()) for item in user_input.split(",")]

			bitonic_sort(unsorted, 0, len(unsorted), 1)
			print("\nSorted array in ascending order is: ", end="")
			print(*unsorted, sep=", ")

			bitonic_merge(unsorted, 0, len(unsorted), 0)
			print("Sorted array in descending order is: ", end="")
			print(*unsorted, sep=", ")











'''simple docstring'''

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


__lowerCamelCase : Optional[Any]											=			logging.get_logger(__name__)

__lowerCamelCase : Optional[Any]											=			{
    "facebook/vit-mae-base": "https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	Union[str, Any] 			=		'''vit_mae'''




		def __init__(self      :	Dict							,			A__      :	Tuple=7_6_8							,			A__      :	str=1_2							,			A__      :	Dict=1_2							,			A__      :	Optional[Any]=3_0_7_2							,			A__      :	Union[str, Any]="gelu"							,			A__      :	Optional[int]=0.0							,			A__      :	str=0.0							,			A__      :	Optional[Any]=0.0_2							,			A__      :	Optional[Any]=1e-12							,			A__      :	Tuple=2_2_4							,			A__      :	str=1_6							,			A__      :	Optional[int]=3							,			A__      :	List[Any]=True							,			A__      :	Dict=1_6							,			A__      :	Dict=5_1_2							,			A__      :	Dict=8							,			A__      :	Union[str, Any]=2_0_4_8							,			A__      :	str=0.7_5							,			A__      :	str=False							,			**A__      :	Any							,			)					-> Union[str, Any]:
						super().__init__(**A__				)

						lowercase         = hidden_size
						lowercase         = num_hidden_layers
						lowercase         = num_attention_heads
						lowercase         = intermediate_size
						lowercase         = hidden_act
						lowercase         = hidden_dropout_prob
						lowercase         = attention_probs_dropout_prob
						lowercase         = initializer_range
						lowercase         = layer_norm_eps
						lowercase         = image_size
						lowercase         = patch_size
						lowercase         = num_channels
						lowercase         = qkv_bias
						lowercase         = decoder_num_attention_heads
						lowercase         = decoder_hidden_size
						lowercase         = decoder_num_hidden_layers
						lowercase         = decoder_intermediate_size
						lowercase         = mask_ratio
						lowercase         = norm_pix_loss




