

"""simple docstring"""





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


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

__UpperCamelCase						:   Dict					   =	{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}







class        SCREAMING_SNAKE_CASE      (	UpperCamelCase__ ):






					"""simple docstring"""



					lowercase__       				= "swiftformer"







					def __init__( self    :       str     ,lowercase_    :       str=3     ,lowercase_    :       List[Any]=[3, 3, 6, 4]     ,lowercase_    :       Optional[int]=[4_8, 5_6, 1_1_2, 2_2_0]     ,lowercase_    :       Dict=4     ,lowercase_    :       List[str]=[True, True, True, True]     ,lowercase_    :       str="gelu"     ,lowercase_    :       List[Any]=3     ,lowercase_    :       Dict=2     ,lowercase_    :       List[str]=1     ,lowercase_    :       List[str]=0.0     ,lowercase_    :       List[Any]=True     ,lowercase_    :       Dict=1E-5     ,lowercase_    :       Optional[int]=1E-5     ,**lowercase_    :       Union[str, Any]     ,):
						super().__init__(**snake_case_	)
						lowerCAmelCase__			:		List[Any]						       =			num_channels
						lowerCAmelCase__			:		Optional[int]						       =			depths
						lowerCAmelCase__			:		List[str]						       =			embed_dims
						lowerCAmelCase__			:		Dict						       =			mlp_ratio
						lowerCAmelCase__			:		Dict						       =			downsamples
						lowerCAmelCase__			:		List[Any]						       =			hidden_act
						lowerCAmelCase__			:		Any						       =			down_patch_size
						lowerCAmelCase__			:		Any						       =			down_stride
						lowerCAmelCase__			:		Any						       =			down_pad
						lowerCAmelCase__			:		Optional[int]						       =			drop_path_rate
						lowerCAmelCase__			:		Dict						       =			use_layer_scale
						lowerCAmelCase__			:		Any						       =			layer_scale_init_value
						lowerCAmelCase__			:		Union[str, Any]						       =			batch_norm_eps







class        SCREAMING_SNAKE_CASE      (	UpperCamelCase__ ):






					"""simple docstring"""



					lowercase__       				= version.parse("1.11" )







					@property
					def  __lowerCAmelCase				( self    :       Optional[int]	):
						return OrderedDict(
						    [
						        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
						    ]	)







					@property
					def  __lowerCAmelCase				( self    :       str	):
						return 1E-4







"""simple docstring"""





from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like

def 						__SCREAMING_SNAKE_CASE						(   A_		,  A_=3				):
	lowerCAmelCase__			:		Union[str, Any]						       =			int(mask / 2				)
	# copy image size
	lowerCAmelCase__			:		Dict						       =			zeros_like(A_				)
	for i in range(A_		,  gray_img.shape[0] - bd				):
		for j in range(A_		,  gray_img.shape[1] - bd				):
			# get mask according with mask
			lowerCAmelCase__			:		str						       =			ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]				)
			# calculate mask median
			lowerCAmelCase__			:		str						       =			sort(A_				)[inta(divide((multiply(A_		,  A_				))		,  2				) + 1				)]
			lowerCAmelCase__			:		List[str]						       =			median
	return median_img


if __name__ == "__main__":
							# read original image
							__UpperCamelCase						:   Dict							   =	imread('''../image_data/lena.jpg''')
							# turn image in gray scale value
							__UpperCamelCase						:   Optional[Any]							   =	cvtColor(img, COLOR_BGR2GRAY)

							# get values with two different mask size
							__UpperCamelCase						:   int							   =	median_filter(gray, 3)
							__UpperCamelCase						:   Tuple							   =	median_filter(gray, 5)

							# show result images
							imshow('''median filter with 3x3 mask''', medianaxa)
							imshow('''median filter with 5x5 mask''', medianaxa)
							waitKey(0)




