

"""simple docstring"""





import numpy as np

_a					 =				[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]




class    _lowerCAmelCase    :







 """simple docstring"""







 def __init__(     self				:     Union[str, Any]      ):
    __lowercase								=		np.array(UpperCAmelCase__      )


 def    _lowercase					(     self				:     List[Any],   UpperCAmelCase__				:     str      ):
    __lowercase						,__lowercase								=		np.where(letter == self.SQUARE      )
    __lowercase								=		np.concatenate([indexa + 1, indexa + 1]      )
    return indexes


 def    _lowercase					(     self				:     Optional[int],   UpperCAmelCase__				:     int,   UpperCAmelCase__				:     int      ):
    return self.SQUARE[indexa - 1, indexa - 1]


 def    _lowercase					(     self				:     Dict,   UpperCAmelCase__				:     str      ):
    __lowercase								=		message.lower()
    __lowercase								=		message.replace("j",   "i"      )

    __lowercase								=		""
    for letter_index in range(len(UpperCAmelCase__      )      ):
       if message[letter_index] != " ":
          __lowercase								=		self.letter_to_numbers(message[letter_index]      )
          __lowercase								=		encoded_message + str(numbers[0]      ) + str(numbers[1]      )
       elif message[letter_index] == " ":
          __lowercase								=		encoded_message + " "

    return encoded_message



 def    _lowercase					(     self				:     Dict,   UpperCAmelCase__				:     str      ):
    __lowercase								=		message.replace(" ",   "  "      )
    __lowercase								=		""
    for numbers_index in range(int(len(UpperCAmelCase__      ) / 2      )      ):
       if message[numbers_index * 2] != " ":
          __lowercase								=		message[numbers_index * 2]
          __lowercase								=		message[numbers_index * 2 + 1]

          __lowercase								=		self.numbers_to_letter(int(UpperCAmelCase__      ),   int(UpperCAmelCase__      )      )
          __lowercase								=		decoded_message + letter
       elif message[numbers_index * 2] == " ":
          __lowercase								=		decoded_message + " "

    return decoded_message







"""simple docstring"""





import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve




def     _A    (    UpperCamelCase_	:			int)      ->		str:
   '''simple docstring'''


   __lowercase								=		np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
   __lowercase								=		np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]])

   __lowercase								=		np.abs(img_convolve(UpperCamelCase_,     UpperCamelCase_))
   __lowercase								=		np.abs(img_convolve(UpperCamelCase_,     UpperCamelCase_))
   # modify the pix within [0, 255]
   __lowercase								=		dst_x * 255 / np.max(UpperCamelCase_)
   __lowercase								=		dst_y * 255 / np.max(UpperCamelCase_)

   __lowercase								=		np.sqrt((np.square(UpperCamelCase_)) + (np.square(UpperCamelCase_)))
   __lowercase								=		dst_xy * 255 / np.max(UpperCamelCase_)
   __lowercase								=		dst_xy.astype(np.uinta)

   __lowercase								=		np.arctana(UpperCamelCase_,     UpperCamelCase_)
   return dst, theta


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

   _a ,		_a					 =				sobel_filter(gray)

   # show result images
   imshow('sobel filter', sobel_grad)
   imshow('sobel theta', sobel_theta)
   waitKey(0)




