






"""simple docstring"""



def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    float						,   __snake_case     :    float						,   __snake_case     :    float       ):





  '''simple docstring'''





  if hue < 0 or hue > 3_60:
    raise Exception('hue should be between 0 and 360'       )

  if saturation < 0 or saturation > 1:
    raise Exception('saturation should be between 0 and 1'       )

  if value < 0 or value > 1:
    raise Exception('value should be between 0 and 1'       )

  lowercase				       =			value * saturation
  lowercase				       =			hue / 60
  lowercase				       =			chroma * (1 - abs(hue_section % 2 - 1       ))
  lowercase				       =			value - chroma

  if hue_section >= 0 and hue_section <= 1:
    lowercase				       =			round(2_55 * (chroma + match_value)       )
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )
    lowercase				       =			round(2_55 * (match_value)       )
  elif hue_section > 1 and hue_section <= 2:
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )
    lowercase				       =			round(2_55 * (chroma + match_value)       )
    lowercase				       =			round(2_55 * (match_value)       )
  elif hue_section > 2 and hue_section <= 3:
    lowercase				       =			round(2_55 * (match_value)       )
    lowercase				       =			round(2_55 * (chroma + match_value)       )
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )
  elif hue_section > 3 and hue_section <= 4:
    lowercase				       =			round(2_55 * (match_value)       )
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )
    lowercase				       =			round(2_55 * (chroma + match_value)       )
  elif hue_section > 4 and hue_section <= 5:
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )
    lowercase				       =			round(2_55 * (match_value)       )
    lowercase				       =			round(2_55 * (chroma + match_value)       )
  else:
    lowercase				       =			round(2_55 * (chroma + match_value)       )
    lowercase				       =			round(2_55 * (match_value)       )
    lowercase				       =			round(2_55 * (second_largest_component + match_value)       )

  return [red, green, blue]
def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    int						,   __snake_case     :    int						,   __snake_case     :    int       ):





  '''simple docstring'''





  if red < 0 or red > 2_55:
    raise Exception('red should be between 0 and 255'       )

  if green < 0 or green > 2_55:
    raise Exception('green should be between 0 and 255'       )

  if blue < 0 or blue > 2_55:
    raise Exception('blue should be between 0 and 255'       )

  lowercase				       =			red / 2_55
  lowercase				       =			green / 2_55
  lowercase				       =			blue / 2_55
  lowercase				       =			max(__snake_case						,   __snake_case						,   __snake_case       )
  lowercase				       =			value - min(__snake_case						,   __snake_case						,   __snake_case       )
  lowercase				       =			0 if value == 0 else chroma / value

  if chroma == 0:
    lowercase				       =			0.0
  elif value == float_red:
    lowercase				       =			60 * (0 + (float_green - float_blue) / chroma)
  elif value == float_green:
    lowercase				       =			60 * (2 + (float_blue - float_red) / chroma)
  else:
    lowercase				       =			60 * (4 + (float_red - float_green) / chroma)

  lowercase				       =			(hue + 3_60) % 3_60

  return [hue, saturation, value]



def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    list[float]						,   __snake_case     :    list[float]       ):





  '''simple docstring'''





  lowercase				       =			abs(hsv_a[0] - hsv_a[0]       ) < 0.2
  lowercase				       =			abs(hsv_a[1] - hsv_a[1]       ) < 0.002
  lowercase				       =			abs(hsv_a[2] - hsv_a[2]       ) < 0.002

  return check_hue and check_saturation and check_value




"""simple docstring"""





import cva
import numpy as np







def       __a	(						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase    ):

   try:
      return int(image[x_coordinate][y_coordinate] >= center    )
   except (IndexError, TypeError):
      return 0







def       __a	(						__lowerCamelCase,						__lowerCamelCase,						__lowerCamelCase    ):
   UpperCAmelCase_   :   Optional[int]     	=       image[x_coordinate][y_coordinate]
   UpperCAmelCase_   :   int     	=       [1, 2, 4, 8, 16, 32, 64, 128]

   # skip get_neighbors_pixel if center is null
   if center is None:
      return 0

   # Starting from the top right, assigning value to pixels clockwise
   UpperCAmelCase_   :   List[Any]     	=       [
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						__lowerCamelCase,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						__lowerCamelCase,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						y_coordinate + 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						__lowerCamelCase,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate + 1,						y_coordinate - 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						__lowerCamelCase,						y_coordinate - 1,						__lowerCamelCase    ),
       get_neighbors_pixel(__lowerCamelCase,						x_coordinate - 1,						y_coordinate - 1,						__lowerCamelCase    ),
   ]

   # Converting the binary value to decimal.
   return sum(
       binary_value * power for binary_value, power in zip(__lowerCamelCase,						__lowerCamelCase    )    )


if __name__ == "__main__":
    # Reading the image and converting it to grayscale.
    _a									=				cva.imread(
        'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
    )

    # Create a numpy array as the same height and width of read image
    _a									=				np.zeros((image.shape[0], image.shape[1]))

    # Iterating through the image and calculating the
    # local binary pattern value for each pixel.
    for i in range(0, image.shape[0]):
        for j in range(0, image.shape[1]):
            _a									=				local_binary_value(image, i, j)

    cva.imshow('local binary pattern', lbp_image)
    cva.waitKey(0)
    cva.destroyAllWindows()


