




def  UpperCAmelCase_							(				__UpperCAmelCase						:     float      ,      __UpperCAmelCase						:     float      ,      __UpperCAmelCase						:     float      ,      __UpperCAmelCase						:     float      ,      __UpperCAmelCase						:     float      ,      ) ->			float:
      SCREAMING_SNAKE_CASE_     						=      [redshift, radiation_density, matter_density, dark_energy]
      if any(p < 0 for p in parameters							):
            raise ValueError('All input parameters must be positive'							)

      if any(p > 1 for p in parameters[1:4]							):
            raise ValueError('Relative densities cannot be greater than one'							)
      else:
            SCREAMING_SNAKE_CASE_     						=      1 - (matter_density + radiation_density + dark_energy)

            SCREAMING_SNAKE_CASE_     						=      (
                radiation_density * (redshift + 1) ** 4
                + matter_density * (redshift + 1) ** 3
                + curvature * (redshift + 1) ** 2
                + dark_energy
            )

            SCREAMING_SNAKE_CASE_     						=      hubble_constant * e_a ** (1 / 2)
            return hubble


if __name__ == "__main__":
   import doctest

   # run doctest
   doctest.testmod()

   # demo LCDM approximation
   lowerCamelCase__			:       List[str]         =							0.3

   print(
       hubble_parameter(
           hubble_constant=68.3,
           radiation_density=1E-4,
           matter_density=matter_density,
           dark_energy=1 - matter_density,
           redshift=0,
       )
   )





import cva
import numpy as np





class 	lowerCamelCase_							:


 '''simple docstring'''







 def __init__(							self  :		Optional[Any]    ,    _lowerCAmelCase  :		float    ,    _lowerCAmelCase  :		int						):

       if k in (0.04, 0.06):
             SCREAMING_SNAKE_CASE_     						=      k
             SCREAMING_SNAKE_CASE_     						=      window_size
       else:
             raise ValueError('invalid k value'						)



 def __str__(							self  :		Tuple						):
       return str(self.k						)




 def 				lowerCAmelCase_  (							self  :		int    ,    _lowerCAmelCase  :		str						):
       SCREAMING_SNAKE_CASE_     						=      cva.imread(_lowerCAmelCase    ,    0						)
       SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_     						=      img.shape
       SCREAMING_SNAKE_CASE_     						=      []
       SCREAMING_SNAKE_CASE_     						=      img.copy()
       SCREAMING_SNAKE_CASE_     						=      cva.cvtColor(_lowerCAmelCase    ,    cva.COLOR_GRAY2RGB						)
       SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_     						=      np.gradient(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_     						=      dx**2
       SCREAMING_SNAKE_CASE_     						=      dy**2
       SCREAMING_SNAKE_CASE_     						=      dx * dy
       SCREAMING_SNAKE_CASE_     						=      0.04
       SCREAMING_SNAKE_CASE_     						=      self.window_size // 2
       for y in range(_lowerCAmelCase    ,    h - offset						):
             for x in range(_lowerCAmelCase    ,    w - offset						):
                   SCREAMING_SNAKE_CASE_     						=      ixx[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   SCREAMING_SNAKE_CASE_     						=      iyy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   SCREAMING_SNAKE_CASE_     						=      ixy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()

                   SCREAMING_SNAKE_CASE_     						=      (wxx * wyy) - (wxy**2)
                   SCREAMING_SNAKE_CASE_     						=      wxx + wyy
                   SCREAMING_SNAKE_CASE_     						=      det - k * (trace**2)
                   # Can change the value
                   if r > 0.5:
                         corner_list.append([x, y, r]						)
                         color_img.itemset((y, x, 0)    ,    0						)
                         color_img.itemset((y, x, 1)    ,    0						)
                         color_img.itemset((y, x, 2)    ,    255						)
       return color_img, corner_list


if __name__ == "__main__":
   lowerCamelCase__			:       Optional[int]         =							HarrisCorner(0.04, 3)
   lowerCamelCase__    ,							lowerCamelCase__			:       str         =							edge_detect.detect('path_to_image')
   cva.imwrite('detect.png', color_img)