




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__    :    List[Any]								=					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__    :    Tuple								=					{
    "MBZUAI/swiftformer-xs": "https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json",
}



class 			a_					(    SCREAMING_SNAKE_CASE__    ):
	A						       =   '''swiftformer'''





	def __init__(       self			,    SCREAMING_SNAKE_CASE=3			,    SCREAMING_SNAKE_CASE=[3, 3, 6, 4]			,    SCREAMING_SNAKE_CASE=[48, 56, 112, 220]			,    SCREAMING_SNAKE_CASE=4			,    SCREAMING_SNAKE_CASE=[True, True, True, True]			,    SCREAMING_SNAKE_CASE="gelu"			,    SCREAMING_SNAKE_CASE=3			,    SCREAMING_SNAKE_CASE=2			,    SCREAMING_SNAKE_CASE=1			,    SCREAMING_SNAKE_CASE=0.0			,    SCREAMING_SNAKE_CASE=True			,    SCREAMING_SNAKE_CASE=1e-5			,    SCREAMING_SNAKE_CASE=1e-5			,    **SCREAMING_SNAKE_CASE			,    )     ->				str:




				"""simple docstring"""



				super().__init__(**SCREAMING_SNAKE_CASE			)
				SCREAMING_SNAKE_CASE_			=	num_channels
				SCREAMING_SNAKE_CASE_			=	depths
				SCREAMING_SNAKE_CASE_			=	embed_dims
				SCREAMING_SNAKE_CASE_			=	mlp_ratio
				SCREAMING_SNAKE_CASE_			=	downsamples
				SCREAMING_SNAKE_CASE_			=	hidden_act
				SCREAMING_SNAKE_CASE_			=	down_patch_size
				SCREAMING_SNAKE_CASE_			=	down_stride
				SCREAMING_SNAKE_CASE_			=	down_pad
				SCREAMING_SNAKE_CASE_			=	drop_path_rate
				SCREAMING_SNAKE_CASE_			=	use_layer_scale
				SCREAMING_SNAKE_CASE_			=	layer_scale_init_value
				SCREAMING_SNAKE_CASE_			=	batch_norm_eps




class 			a_					(    SCREAMING_SNAKE_CASE__    ):
	A						       =   version.parse('''1.11'''    )





	@property
	def 	A_(       self			)     ->				Mapping[str, Mapping[int, str]]:




				"""simple docstring"""



				return OrderedDict(
				    [
				        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
				    ]			)





	@property
	def 	A_(       self			)     ->				float:




				"""simple docstring"""



				return 1e-4






from __future__ import annotations

def lowercase						(     SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE   ) ->       None:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_	,		SCREAMING_SNAKE_CASE_			=	m - 1, 0
			while i >= 0 and j < n:
						if key == mat[i][j]:
									print(F'Key {key} found at row- {i + 1} column- {j + 1}'   )
									return
						if key < mat[i][j]:
									i -= 1
						else:
									j += 1
			print(F'Key {key} not found'   )

def lowercase						(     ) ->       None:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_			=	[[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
			SCREAMING_SNAKE_CASE_			=	int(input('Enter the element to be searched:'   )   )
			print(SCREAMING_SNAKE_CASE   )
			search_in_a_sorted_matrix(SCREAMING_SNAKE_CASE					,						len(SCREAMING_SNAKE_CASE   )					,						len(mat[0]   )					,						SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()
