

import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info







def       snake_case__    (       lowerCAmelCase_	):





     """simple docstring"""







     class 		a_	:



           """simple docstring"""







           def __init__(				self					:							Union[str, Any]      ,snake_case					:							int    ):
                assert isinstance(_snake_case      ,(bytes, str)    )
                SCREAMING_SNAKE_CASE										=content


           def 	_lowerCAmelCase					(				self					:							Any    ):
                return json.loads(self.content    )

     def mock_response(*lowerCAmelCase_,   **lowerCAmelCase_	):
          assert args[0] == AUTHENTICATED_USER_ENDPOINT
          assert "Authorization" in kwargs["headers"]
          assert kwargs["headers"]["Authorization"].startswith('token '	)
          assert "Accept" in kwargs["headers"]
          return FakeResponse(b'{"login":"test","id":1}'	)

     monkeypatch.setattr(lowerCAmelCase_,   'get',   lowerCAmelCase_	)
     SCREAMING_SNAKE_CASE										=fetch_github_info('token'	)
     assert result["login"] == "test"
     assert result["id"] == 1




import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve







def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







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

     SCREAMING_SNAKE_CASE										=np.abs(img_convolve(lowerCAmelCase_,   lowerCAmelCase_      )      )
     SCREAMING_SNAKE_CASE										=np.abs(img_convolve(lowerCAmelCase_,   lowerCAmelCase_      )      )
     # modify the pix within [0, 255]
     SCREAMING_SNAKE_CASE										=dst_x * 255 / np.max(lowerCAmelCase_      )
     SCREAMING_SNAKE_CASE										=dst_y * 255 / np.max(lowerCAmelCase_      )

     SCREAMING_SNAKE_CASE										=np.sqrt((np.square(lowerCAmelCase_      )) + (np.square(lowerCAmelCase_      ))      )
     SCREAMING_SNAKE_CASE										=dst_xy * 255 / np.max(lowerCAmelCase_      )
     SCREAMING_SNAKE_CASE										=dst_xy.astype(np.uinta      )

     SCREAMING_SNAKE_CASE										=np.arctana(lowerCAmelCase_,   lowerCAmelCase_      )
     return dst, theta


if __name__ == "__main__":
 # read original image
 _lowerCamelCase								=imread("../image_data/lena.jpg")
 # turn image in gray scale value
 _lowerCamelCase								=cvtColor(img, COLOR_BGR2GRAY)

 _lowerCamelCase	,			_lowerCamelCase								=sobel_filter(gray)

 # show result images
 imshow("sobel filter", sobel_grad)
 imshow("sobel theta", sobel_theta)
 waitKey(0)

