




import string

import numpy

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int			,							lowercase			: int  ):


      '''simple docstring'''



      return b if a == 0 else greatest_common_divisor(b % a			,							_SCREAMING_SNAKE_CASE  )







class 						A:



 '''simple docstring'''


 UpperCamelCase		     =		string.ascii_uppercase + string.digits
 # This cipher takes alphanumerics into account
 # i.e. a total of 36 characters

 # take x and return x % len(key_string)
 UpperCamelCase		     =		numpy.vectorize(lambda UpperCamelCase     : x % 36     )

 UpperCamelCase		     =		numpy.vectorize(UpperCamelCase     )

 def __init__(       self      :						Dict		,							A_      :						numpy.ndarray						)     ->			None:

       """simple docstring"""






       lowerCamelCase_	  =					self.modulus(A_						)  # mod36 calc's on the encrypt key
       self.check_determinant()  # validate the determinant of the encryption key
       lowerCamelCase_	  =					encrypt_key.shape[0]

 def        a__				(       self      :						str		,							A_      :						str						)     ->			int:

       """simple docstring"""






       return self.key_string.index(A_						)

 def        a__				(       self      :						Any		,							A_      :						int						)     ->			str:

       """simple docstring"""






       return self.key_string[round(A_						)]

 def        a__				(       self      :						Dict						)     ->			None:

       """simple docstring"""






       lowerCamelCase_	  =					round(numpy.linalg.det(self.encrypt_key						)						)

       if det < 0:
             lowerCamelCase_	  =					det % len(self.key_string						)

       lowerCamelCase_	  =					len(self.key_string						)
       if greatest_common_divisor(A_		,							len(self.key_string						)						) != 1:
             lowerCamelCase_	  =					(
                 f"""determinant modular {req_l} of encryption key({det}) """
                 f"""is not co prime w.r.t {req_l}.\nTry another key."""
             )
             raise ValueError(A_						)

 def        a__				(       self      :						Dict		,							A_      :						str						)     ->			str:

       """simple docstring"""






       lowerCamelCase_	  =					[char for char in text.upper() if char in self.key_string]

       lowerCamelCase_	  =					chars[-1]
       while len(A_						) % self.break_key != 0:
             chars.append(A_						)

       return "".join(A_						)

 def        a__				(       self      :						List[str]		,							A_      :						str						)     ->			str:

       """simple docstring"""






       lowerCamelCase_	  =					self.process_text(text.upper()						)
       lowerCamelCase_	  =					''

       for i in range(0		,							len(A_						) - self.break_key + 1		,							self.break_key						):
             lowerCamelCase_	  =					text[i : i + self.break_key]
             lowerCamelCase_	  =					[self.replace_letters(A_						) for char in batch]
             lowerCamelCase_	  =					numpy.array([vec]						).T
             lowerCamelCase_	  =					self.modulus(self.encrypt_key.dot(A_						)						).T.tolist()[
                 0
             ]
             lowerCamelCase_	  =					''.join(
                 self.replace_digits(A_						) for num in batch_encrypted						)
             encrypted += encrypted_batch

       return encrypted

 def        a__				(       self      :						int						)     ->			numpy.ndarray:

       """simple docstring"""






       lowerCamelCase_	  =					round(numpy.linalg.det(self.encrypt_key						)						)

       if det < 0:
             lowerCamelCase_	  =					det % len(self.key_string						)
       lowerCamelCase_	  =					None
       for i in range(len(self.key_string						)						):
             if (det * i) % len(self.key_string						) == 1:
                   lowerCamelCase_	  =					i
                   break

       lowerCamelCase_	  =					(
           det_inv
           * numpy.linalg.det(self.encrypt_key						)
           * numpy.linalg.inv(self.encrypt_key						)
       )

       return self.to_int(self.modulus(A_						)						)





 def        a__				(       self      :						Optional[int]		,							A_      :						str						)     ->			str:

       """simple docstring"""






       lowerCamelCase_	  =					self.make_decrypt_key()
       lowerCamelCase_	  =					self.process_text(text.upper()						)
       lowerCamelCase_	  =					''

       for i in range(0		,							len(A_						) - self.break_key + 1		,							self.break_key						):
             lowerCamelCase_	  =					text[i : i + self.break_key]
             lowerCamelCase_	  =					[self.replace_letters(A_						) for char in batch]
             lowerCamelCase_	  =					numpy.array([vec]						).T
             lowerCamelCase_	  =					self.modulus(decrypt_key.dot(A_						)						).T.tolist()[0]
             lowerCamelCase_	  =					''.join(
                 self.replace_digits(A_						) for num in batch_decrypted						)
             decrypted += decrypted_batch

       return decrypted

def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					int(input('Enter the order of the encryption key: '  )  )
      lowerCamelCase_	  =					[]

      print('Enter each row of the encryption key with space separated integers'  )
      for _ in range(_SCREAMING_SNAKE_CASE  ):
            lowerCamelCase_	  =					[int(_SCREAMING_SNAKE_CASE  ) for x in input().split()]
            hill_matrix.append(_SCREAMING_SNAKE_CASE  )

      lowerCamelCase_	  =					HillCipher(numpy.array(_SCREAMING_SNAKE_CASE  )  )

      print('Would you like to encrypt or decrypt some text? (1 or 2)'  )
      lowerCamelCase_	  =					input('\n1. Encrypt\n2. Decrypt\n'  )
      if option == "1":
            lowerCamelCase_	  =					input('What text would you like to encrypt?: '  )
            print('Your encrypted text is:'  )
            print(hc.encrypt(_SCREAMING_SNAKE_CASE  )  )
      elif option == "2":
            lowerCamelCase_	  =					input('What text would you like to decrypt?: '  )
            print('Your decrypted text is:'  )
            print(hc.decrypt(_SCREAMING_SNAKE_CASE  )  )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 main()









import cva
import numpy as np







class 						A:



 '''simple docstring'''


 def __init__(       self      :						int		,							A_      :						float		,							A_      :						int						)     ->			List[Any]:

       """simple docstring"""






       if k in (0.04, 0.06):
             lowerCamelCase_	  =					k
             lowerCamelCase_	  =					window_size
       else:
             raise ValueError('invalid k value'						)

 def __str__(       self      :						str						)     ->			str:

       """simple docstring"""






       return str(self.k						)





 def        a__				(       self      :						Any		,							A_      :						str						)     ->			tuple[cva.Mat, list[list[int]]]:

       """simple docstring"""






       lowerCamelCase_	  =					cva.imread(A_		,							0						)
       lowerCamelCase_  ,       lowerCamelCase_	  =					img.shape
       lowerCamelCase_	  =					[]
       lowerCamelCase_	  =					img.copy()
       lowerCamelCase_	  =					cva.cvtColor(A_		,							cva.COLOR_GRAY2RGB						)
       lowerCamelCase_  ,       lowerCamelCase_	  =					np.gradient(A_						)
       lowerCamelCase_	  =					dx**2
       lowerCamelCase_	  =					dy**2
       lowerCamelCase_	  =					dx * dy
       lowerCamelCase_	  =					0.04
       lowerCamelCase_	  =					self.window_size // 2
       for y in range(A_		,							h - offset						):
             for x in range(A_		,							w - offset						):
                   lowerCamelCase_	  =					ixx[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   lowerCamelCase_	  =					iyy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   lowerCamelCase_	  =					ixy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()

                   lowerCamelCase_	  =					(wxx * wyy) - (wxy**2)
                   lowerCamelCase_	  =					wxx + wyy
                   lowerCamelCase_	  =					det - k * (trace**2)
                   # Can change the value
                   if r > 0.5:
                         corner_list.append([x, y, r]						)
                         color_img.itemset((y, x, 0)		,							0						)
                         color_img.itemset((y, x, 1)		,							0						)
                         color_img.itemset((y, x, 2)		,							255						)
       return color_img, corner_list


if __name__ == "__main__":
 lowerCamelCase       :	Optional[int]									=     HarrisCorner(0.04, 3)
 lowerCamelCase					,					lowerCamelCase       :	Optional[int]									=     edge_detect.detect("path_to_image")
 cva.imwrite("detect.png", color_img)



