code: 
  
  
  
  
  
  
  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()
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  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)
  
  
  
  
  