"""simple docstring"""




import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase       :    Union[str, Any]									=			[(1,)]



def 				__a       (			):







					"""simple docstring"""





					lowerCamelCase__		:   Union[str, Any]  				=					bool(os.getenv('''RUN_SLOW'''							, 0						)						)
					if run_slow:
										assert True
					else:
										assert False, "should have been skipped"



def 				__a       (			):







					"""simple docstring"""





					lowerCamelCase__		:   Dict  				=					bool(os.getenv('''RUN_SLOW'''							, 0						)						)
					if run_slow and torch_device == "cuda":
										assert True
					else:
										assert False, "should have been skipped"

@require_torch
class        __SCREAMING_SNAKE_CASE     (   unittest.TestCase							):







				@slow
				@require_torch_gpu
				def   lowercase_		(    self    :Dict  )      ->					Optional[Any]:




									"""simple docstring"""



									check_slow_torch_cuda()







				@require_torch_gpu
				@slow
				def   lowercase_		(    self    :Dict  )      ->					Union[str, Any]:




									"""simple docstring"""



									check_slow_torch_cuda()







				@parameterized.expand(UpperCAmelCase__  )
				@slow
				def   lowercase_		(    self    :Tuple      ,__UpperCAmelCase    :Any=None  )      ->					str:




									"""simple docstring"""



									check_slow()





@slow
@require_torch_gpu
def 				__a       (			):







					"""simple docstring"""





					check_slow_torch_cuda()



@require_torch_gpu
@slow
def 				__a       (			):







					"""simple docstring"""





					check_slow_torch_cuda()



@slow
@pytest.mark.parametrize('''param'''							, [1]						)
def 				__a       (			_lowercase						):







					"""simple docstring"""





					check_slow()





@pytest.mark.parametrize('''param'''							, [1]						)
@slow
def 				__a       (			_lowercase						):







					"""simple docstring"""





					check_slow()









"""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)




