






from collections import namedtuple

__A  							=  namedtuple("from_to", "from_ to")

__A  							=  {
    "millimeter": "mm",
    "centimeter": "cm",
    "meter": "m",
    "kilometer": "km",
    "inch": "in",
    "inche": "in",  # Trailing 's' has been stripped off
    "feet": "ft",
    "foot": "ft",
    "yard": "yd",
    "mile": "mi",
}

__A  							=  {
    "mm": from_to(0.001, 10_00),
    "cm": from_to(0.01, 1_00),
    "m": from_to(1, 1),
    "km": from_to(10_00, 0.001),
    "in": from_to(0.0254, 39.3701),
    "ft": from_to(0.3048, 3.2_8084),
    "yd": from_to(0.9144, 1.0_9361),
    "mi": from_to(1609.34, 0.0_0062_1371),
}







def 			lowercase__  (				A_     ,			A_     ,			A_		)  ->							float:







       """simple docstring"""






       __UpperCAmelCase    							=from_type.lower().rstrip("""s"""		)
       __UpperCAmelCase    							=TYPE_CONVERSION.get(A_     ,			A_		)
       __UpperCAmelCase    							=to_type.lower().rstrip("""s"""		)
       __UpperCAmelCase    							=TYPE_CONVERSION.get(A_     ,			A_		)
       if new_from not in METRIC_CONVERSION:
              __UpperCAmelCase    							=(
                  F'''Invalid \'from_type\' value: {from_type!r}.\n'''
                  F'''Conversion abbreviations are: {", ".join(A_		)}'''
              )
              raise ValueError(A_		)
       if new_to not in METRIC_CONVERSION:
              __UpperCAmelCase    							=(
                  F'''Invalid \'to_type\' value: {to_type!r}.\n'''
                  F'''Conversion abbreviations are: {", ".join(A_		)}'''
              )
              raise ValueError(A_		)
       return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
   import doctest

   doctest.testmod()












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







def 			lowercase__  (				A_:	int     ,			A_:	Any=3		)  ->							Dict:







       """simple docstring"""






       __UpperCAmelCase    							=int(mask / 2		)
       # copy image size
       __UpperCAmelCase    							=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
                     __UpperCAmelCase    							=ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]		)
                     # calculate mask median
                     __UpperCAmelCase    							=sort(A_		)[inta(divide((multiply(A_     ,			A_		))     ,			2		) + 1		)]
                     __UpperCAmelCase    							=median
       return median_img


if __name__ == "__main__":
   # read original image
   __A  							=  imread("../image_data/lena.jpg")
   # turn image in gray scale value
   __A  							=  cvtColor(img, COLOR_BGR2GRAY)

   # get values with two different mask size
   __A  							=  median_filter(gray, 3)
   __A  							=  median_filter(gray, 5)

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




