



"""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 		_UpperCAmelCase    (				snake_case      ):





					"""simple docstring"""

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

					_lowerCAmelCase      =   np.abs(img_convolve(SCREAMING_SNAKE_CASE__     ,						SCREAMING_SNAKE_CASE__      )      )
					_lowerCAmelCase      =   np.abs(img_convolve(SCREAMING_SNAKE_CASE__     ,						SCREAMING_SNAKE_CASE__      )      )
					# modify the pix within [0, 255]
					_lowerCAmelCase      =   dst_x * 2_55 / np.max(SCREAMING_SNAKE_CASE__      )
					_lowerCAmelCase      =   dst_y * 2_55 / np.max(SCREAMING_SNAKE_CASE__      )

					_lowerCAmelCase      =   np.sqrt((np.square(SCREAMING_SNAKE_CASE__      )) + (np.square(SCREAMING_SNAKE_CASE__      ))      )
					_lowerCAmelCase      =   dst_xy * 2_55 / np.max(SCREAMING_SNAKE_CASE__      )
					_lowerCAmelCase      =   dst_xy.astype(np.uinta      )

					_lowerCAmelCase      =   np.arctana(SCREAMING_SNAKE_CASE__     ,						SCREAMING_SNAKE_CASE__      )
					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)








import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
	from PIL import Image





class  __lowerCAmelCase			(					unittest.TestCase	,						lowerCamelCase__	):




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   load_tool("""image-question-answering"""		)
									self.tool.setup()
									_lowerCAmelCase      =   load_tool("""image-question-answering"""						,    remote=_snake_case		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.tool(_snake_case						,    """How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.remote_tool(_snake_case						,    """How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.tool(image=_snake_case						,    question="""How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.remote_tool(image=_snake_case						,    question="""How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)



