


import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

__lowerCamelCase   	=  180



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     a_     :  Tuple				      =     k_size // 2
     a_      ,      a_     :  Optional[Any]				      =     np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
     a_     :  Dict				      =     (
         1
         / (2 * np.pi * sigma)
         * np.exp(-(np.square(__UpperCamelCase			) + np.square(__UpperCamelCase			)) / (2 * np.square(__UpperCamelCase			))			)
     )
     return g



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			):
     a_     :  Any				      =     np.zeros(__UpperCamelCase			)

     for row in range(1	,	image_shape[0] - 1			):
          for col in range(1	,	image_shape[1] - 1			):
               a_     :  List[Any]				      =     gradient_direction[row, col]

               if (
                   0 <= direction < PI / 8
                   or 1_5 * PI / 8 <= direction <= 2 * PI
                   or 7 * PI / 8 <= direction <= 9 * PI / 8
               ):
                    a_     :  Optional[int]				      =     sobel_grad[row, col - 1]
                    a_     :  str				      =     sobel_grad[row, col + 1]
                    if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
                         a_     :  Optional[Any]				      =     sobel_grad[row, col]

               elif (
                   PI / 8 <= direction < 3 * PI / 8
                   or 9 * PI / 8 <= direction < 1_1 * PI / 8
               ):
                    a_     :  Dict				      =     sobel_grad[row + 1, col - 1]
                    a_     :  str				      =     sobel_grad[row - 1, col + 1]
                    if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
                         a_     :  Any				      =     sobel_grad[row, col]

               elif (
                   3 * PI / 8 <= direction < 5 * PI / 8
                   or 1_1 * PI / 8 <= direction < 1_3 * PI / 8
               ):
                    a_     :  List[str]				      =     sobel_grad[row - 1, col]
                    a_     :  List[str]				      =     sobel_grad[row + 1, col]
                    if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
                         a_     :  Any				      =     sobel_grad[row, col]

               elif (
                   5 * PI / 8 <= direction < 7 * PI / 8
                   or 1_3 * PI / 8 <= direction < 1_5 * PI / 8
               ):
                    a_     :  Dict				      =     sobel_grad[row - 1, col - 1]
                    a_     :  int				      =     sobel_grad[row + 1, col + 1]
                    if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
                         a_     :  Optional[Any]				      =     sobel_grad[row, col]

     return destination



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			):
     for row in range(1	,	image_shape[0] - 1			):
          for col in range(1	,	image_shape[1] - 1			):
               if destination[row, col] >= threshold_high:
                    a_     :  Tuple				      =     strong
               elif destination[row, col] <= threshold_low:
                    a_     :  Dict				      =     0
               else:
                    a_     :  Union[str, Any]				      =     weak



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			):
     for row in range(1	,	image_shape[0]			):
          for col in range(1	,	image_shape[1]			):
               if destination[row, col] == weak:
                    if 2_5_5 in (
                        destination[row, col + 1],
                        destination[row, col - 1],
                        destination[row - 1, col],
                        destination[row + 1, col],
                        destination[row - 1, col - 1],
                        destination[row + 1, col - 1],
                        destination[row - 1, col + 1],
                        destination[row + 1, col + 1],
                    ):
                         a_     :  Dict				      =     strong
                    else:
                         a_     :  Optional[Any]				      =     0



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase=1_5	,	__UpperCamelCase=3_0	,	__UpperCamelCase=1_2_8	,	__UpperCamelCase=2_5_5			):
     # gaussian_filter
     a_     :  int				      =     img_convolve(__UpperCamelCase	,	gen_gaussian_kernel(9	,	sigma=1.4			)			)
     # get the gradient and degree by sobel_filter
     a_      ,      a_     :  int				      =     sobel_filter(__UpperCamelCase			)
     a_     :  Union[str, Any]				      =     PI + np.radadeg(__UpperCamelCase			)

     a_     :  Any				      =     suppress_non_maximum(image.shape	,	__UpperCamelCase	,	__UpperCamelCase			)

     detect_high_low_threshold(
         image.shape	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			)

     track_edge(image.shape	,	__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			)

     return destination


if __name__ == "__main__":
       # read original image in gray mode
       __lowerCamelCase   	=  cva.imread(R'''../image_data/lena.jpg''', 0)
       # canny edge detection
       __lowerCamelCase   	=  canny(lena)
       cva.imshow('''canny''', canny_destination)
       cva.waitKey(0)






import unittest

from cer import CER


lowercase_									=    CER()


class 					A		(				unittest.TestCase					):







    """simple docstring"""





    def 		snake_case__	( self					:			str						)->       Dict:





        '''simple docstring'''







        A__        =  ['White House']
        A__        =  ['white house']
        # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.1_818_181_818						) < 1E-6						)


    def 		snake_case__	( self					:			str						)->       Dict:





        '''simple docstring'''







        A__        =  ['were wolf']
        A__        =  ['werewolf']
        # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.1_111_111						) < 1E-6						)

        A__        =  ['werewolf']
        A__        =  ['weae     wolf']
        # S = 1, D = 1, I = 0, N = 8, CER = 0.25
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.25						) < 1E-6						)

        # consecutive whitespaces case 1
        A__        =  ['were wolf']
        A__        =  ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.0						) < 1E-6						)

        # consecutive whitespaces case 2
        A__        =  ['were   wolf']
        A__        =  ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.0						) < 1E-6						)


    def 		snake_case__	( self					:			int						)->       str:





        '''simple docstring'''







        A__        =  ['werewolf']
        A__        =  ['weaewolf']
        # S = 1, D = 0, I = 0, N = 8, CER = 0.125
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.125						) < 1E-6						)


    def 		snake_case__	( self					:			Optional[int]						)->       Optional[int]:





        '''simple docstring'''







        A__        =  ['werewolf']
        A__        =  ['wereawolf']
        # S = 0, D = 1, I = 0, N = 8, CER = 0.125
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.125						) < 1E-6						)


    def 		snake_case__	( self					:			List[Any]						)->       Optional[Any]:





        '''simple docstring'''







        A__        =  ['werewolf']
        A__        =  ['wereolf']
        # S = 0, D = 0, I = 1, N = 8, CER = 0.125
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.125						) < 1E-6						)


    def 		snake_case__	( self					:			str						)->       Tuple:





        '''simple docstring'''







        A__        =  ['werewolf']
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertEqual(lowercase_,0.0						)


    def 		snake_case__	( self					:			Optional[int]						)->       Union[str, Any]:





        '''simple docstring'''







        A__        =  ['werewolf', 'I am your father']
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertEqual(lowercase_,0.0						)

        A__        =  ['werewolf', 'I am your father', 'doge']
        A__        =  ['werxwolf', 'I       am your father', 'doge']
        # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.03_571_428						) < 1E-6						)


    def 		snake_case__	( self					:			List[str]						)->       Union[str, Any]:





        '''simple docstring'''







        A__        =  ['My hovercraft', 'is full of eels']
        A__        =  ['My hovercraft is full', ' of eels']
        # S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
        # whitespace at the front of " of eels" will be strip during preporcessing
        # so need to insert 2 whitespaces
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_,concatenate_texts=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.071_428						) < 1E-6						)


    def 		snake_case__	( self					:			Dict						)->       List[str]:





        '''simple docstring'''







        A__        =  ['我能吞下玻璃而不伤身体']
        A__        =  [' 能吞虾玻璃而 不霜身体啦']
        # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.4_545_454_545						) < 1E-6						)

        A__        =  ['我能吞下玻璃', '而不伤身体']
        A__        =  ['我    能 吞 下 玻 璃', '而不伤身体']
        # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertTrue(abs(char_error_rate - 0.454_545_454_545						) < 1E-6						)

        A__        =  ['我能吞下玻璃而不伤身体']
        A__        =  cer.compute(predictions=lowercase_,references=lowercase_						)
        self.assertFalse(lowercase_,0.0						)


    def 		snake_case__	( self					:			Any						)->       List[str]:





        '''simple docstring'''







        A__        =  ['']
        A__        =  ['Hypothesis']
        with self.assertRaises(lowercase_						):
            cer.compute(predictions=lowercase_,references=lowercase_						)


if __name__ == "__main__":
     unittest.main()

