




import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput

@dataclass
class 		lowercase_       (	__UpperCAmelCase				):
					__UpperCamelCase     	= 42
					__UpperCamelCase     	= None
					__UpperCamelCase     	= None





class 		lowercase_       (	unittest.TestCase				):




					def     _lowercase						(   self:		Union[str, Any]):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30)
									self.assertEqual(x.a,     30)
									self.assertIsNone(x.b)
									self.assertIsNone(x.c)
									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x.d




					def     _lowercase						(   self:		List[Any]):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30,     b=10)
									self.assertEqual(x[0],     30)
									self.assertEqual(x[1],     10)
									self.assertEqual(x[:2],     (30, 10))
									self.assertEqual(x[:],     (30, 10))

									__lowerCAmelCase					=  ModelOutputTest(a=30,     c=10)
									self.assertEqual(x[0],     30)
									self.assertEqual(x[1],     10)
									self.assertEqual(x[:2],     (30, 10))
									self.assertEqual(x[:],     (30, 10))




					def     _lowercase						(   self:		int):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30,     b=10)
									self.assertEqual(x["""a"""],     30)
									self.assertEqual(x["""b"""],     10)
									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x["""c"""]

									__lowerCAmelCase					=  ModelOutputTest(a=30,     c=10)
									self.assertEqual(x["""a"""],     30)
									self.assertEqual(x["""c"""],     10)
									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x["""b"""]




					def     _lowercase						(   self:		List[Any]):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30)
									self.assertEqual(list(x.keys()),     ["""a"""])
									self.assertEqual(list(x.values()),     [30])
									self.assertEqual(list(x.items()),     [("""a""", 30)])
									self.assertEqual(list(_lowercase),     ["""a"""])

									__lowerCAmelCase					=  ModelOutputTest(a=30,     b=10)
									self.assertEqual(list(x.keys()),     ["""a""", """b"""])
									self.assertEqual(list(x.values()),     [30, 10])
									self.assertEqual(list(x.items()),     [("""a""", 30), ("""b""", 10)])
									self.assertEqual(list(_lowercase),     ["""a""", """b"""])

									__lowerCAmelCase					=  ModelOutputTest(a=30,     c=10)
									self.assertEqual(list(x.keys()),     ["""a""", """c"""])
									self.assertEqual(list(x.values()),     [30, 10])
									self.assertEqual(list(x.items()),     [("""a""", 30), ("""c""", 10)])
									self.assertEqual(list(_lowercase),     ["""a""", """c"""])

									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x.update({"""d""": 20})
									with self.assertRaises(_lowercase):
													del x["a"]
									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x.pop("""a""")
									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  x.setdefault("""d""",     32)




					def     _lowercase						(   self:		int):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30)
									__lowerCAmelCase					=  10
									self.assertEqual(x.a,     10)
									self.assertEqual(x["""a"""],     10)




					def     _lowercase						(   self:		Dict):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest(a=30)
									__lowerCAmelCase					=  10
									self.assertEqual(x.a,     10)
									self.assertEqual(x["""a"""],     10)




					def     _lowercase						(   self:		Any):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest({"""a""": 30, """b""": 10})
									self.assertEqual(list(x.keys()),     ["""a""", """b"""])
									self.assertEqual(x.a,     30)
									self.assertEqual(x.b,     10)







					def     _lowercase						(   self:		Union[str, Any]):


									'''simple docstring'''


									__lowerCAmelCase					=  ModelOutputTest([("""a""", 30), ("""b""", 10)])
									self.assertEqual(list(x.keys()),     ["""a""", """b"""])
									self.assertEqual(x.a,     30)
									self.assertEqual(x.b,     10)

									with self.assertRaises(_lowercase):
													__lowerCAmelCase					=  ModelOutputTest([("""a""", 30), (10, 10)])

									__lowerCAmelCase					=  ModelOutputTest(a=(30, 30))
									self.assertEqual(list(x.keys()),     ["""a"""])
									self.assertEqual(x.a,     (30, 30))







'''simple docstring'''







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

_snake_case					: Union[str, Any]     			=					180



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



def       _a		(						_SCREAMING_SNAKE_CASE		: int						,      _SCREAMING_SNAKE_CASE		: Tuple						,      _SCREAMING_SNAKE_CASE		: Dict	):
						_SCREAMING_SNAKE_CASE					=			np.zeros(_SCREAMING_SNAKE_CASE	)

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

																		if (
																		    0 <= direction < PI / 8
																		    or 15 * PI / 8 <= direction <= 2 * PI
																		    or 7 * PI / 8 <= direction <= 9 * PI / 8
																		):
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col - 1]
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col + 1]
																								if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																														_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col]

																		elif (
																		    PI / 8 <= direction < 3 * PI / 8
																		    or 9 * PI / 8 <= direction < 11 * PI / 8
																		):
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row + 1, col - 1]
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row - 1, col + 1]
																								if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
																														_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col]

																		elif (
																		    3 * PI / 8 <= direction < 5 * PI / 8
																		    or 11 * PI / 8 <= direction < 13 * PI / 8
																		):
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row - 1, col]
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row + 1, col]
																								if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
																														_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col]

																		elif (
																		    5 * PI / 8 <= direction < 7 * PI / 8
																		    or 13 * PI / 8 <= direction < 15 * PI / 8
																		):
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row - 1, col - 1]
																								_SCREAMING_SNAKE_CASE					=			sobel_grad[row + 1, col + 1]
																								if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
																														_SCREAMING_SNAKE_CASE					=			sobel_grad[row, col]

						return destination



def       _a		(						_SCREAMING_SNAKE_CASE		: List[str]						,      _SCREAMING_SNAKE_CASE		: int						,      _SCREAMING_SNAKE_CASE		: List[str]						,      _SCREAMING_SNAKE_CASE		: Any						,      _SCREAMING_SNAKE_CASE		: Any						,      _SCREAMING_SNAKE_CASE		: List[str]	):
						for row in range(1						,      image_shape[0] - 1	):
												for col in range(1						,      image_shape[1] - 1	):
																		if destination[row, col] >= threshold_high:
																								_SCREAMING_SNAKE_CASE					=			strong
																		elif destination[row, col] <= threshold_low:
																								_SCREAMING_SNAKE_CASE					=			0
																		else:
																								_SCREAMING_SNAKE_CASE					=			weak



def       _a		(						_SCREAMING_SNAKE_CASE		: List[Any]						,      _SCREAMING_SNAKE_CASE		: Dict						,      _SCREAMING_SNAKE_CASE		: Dict						,      _SCREAMING_SNAKE_CASE		: Any	):
						for row in range(1						,      image_shape[0]	):
												for col in range(1						,      image_shape[1]	):
																		if destination[row, col] == weak:
																								if 255 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],
																								):
																														_SCREAMING_SNAKE_CASE					=			strong
																								else:
																														_SCREAMING_SNAKE_CASE					=			0



def       _a		(						_SCREAMING_SNAKE_CASE		: Dict						,      _SCREAMING_SNAKE_CASE		: List[str]=15						,      _SCREAMING_SNAKE_CASE		: List[Any]=30						,      _SCREAMING_SNAKE_CASE		: Optional[int]=128						,      _SCREAMING_SNAKE_CASE		: List[Any]=255	):
						# gaussian_filter
						_SCREAMING_SNAKE_CASE					=			img_convolve(_SCREAMING_SNAKE_CASE						,      gen_gaussian_kernel(9						,      sigma=1.4	)	)
						# get the gradient and degree by sobel_filter
						_SCREAMING_SNAKE_CASE,				_SCREAMING_SNAKE_CASE					=			sobel_filter(_SCREAMING_SNAKE_CASE	)
						_SCREAMING_SNAKE_CASE					=			PI + np.radadeg(_SCREAMING_SNAKE_CASE	)

						_SCREAMING_SNAKE_CASE					=			suppress_non_maximum(image.shape						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE	)

						detect_high_low_threshold(
						    image.shape						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE	)

						track_edge(image.shape						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE	)

						return destination


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