from .number_theory.prime_numbers import next_prime




class  _UpperCAmelCase       :



 '''simple docstring'''




 def __init__(						self							:					int				,      lowercase_							:					int				,      lowercase_							:					int | None = None				,      lowercase_							:					float | None = None				,      )		->     None:


   """simple docstring"""







   _UpperCamelCase				=  size_table
   _UpperCamelCase				=  [None] * self.size_table
   _UpperCamelCase				=  0.75 if lim_charge is None else lim_charge
   _UpperCamelCase				=  1 if charge_factor is None else charge_factor
   _UpperCamelCase				=  []
   _UpperCamelCase				=  {}







 def 						__UpperCAmelCase							(						self							:					Optional[int])		->     Union[str, Any]:


   """simple docstring"""







   return self._keys







 def 						__UpperCAmelCase							(						self							:					Dict)		->     List[str]:


   """simple docstring"""







   return sum(1 for slot in self.values if slot is not None) / (
       self.size_table * self.charge_factor
   )







 def 						__UpperCAmelCase							(						self							:					Any				,      lowercase_							:					Optional[int])		->     Union[str, Any]:


   """simple docstring"""







   return key % self.size_table







 def 						__UpperCAmelCase							(						self							:					int				,      lowercase_							:					Optional[int])		->     Optional[int]:


   """simple docstring"""







   print(f'step {step_ord}')
   print(list(range(len(self.values))))
   print(self.values)







 def 						__UpperCAmelCase							(						self							:					Any				,      lowercase_							:					Optional[Any])		->     List[str]:


   """simple docstring"""







   _UpperCamelCase				=  1
   _UpperCamelCase				=  values
   for value in values:
     self.insert_data(lowercase_)
     self._step_by_step(lowercase_)
     i += 1







 def 						__UpperCAmelCase							(						self							:					Any				,      lowercase_							:					List[Any]				,      lowercase_							:					str)		->     Any:


   """simple docstring"""







   _UpperCamelCase				=  data
   _UpperCamelCase				=  data







 def 						__UpperCAmelCase							(						self							:					Any				,      lowercase_							:					Union[str, Any]				,      lowercase_							:					Dict=None)		->     int:


   """simple docstring"""







   _UpperCamelCase				=  self.hash_function(key + 1)

   while self.values[new_key] is not None and self.values[new_key] != key:
     if self.values.count(lowercase_) > 0:
       _UpperCamelCase				=  self.hash_function(new_key + 1)
     else:
       _UpperCamelCase				=  None
       break

   return new_key







 def 						__UpperCAmelCase							(						self							:					List[str])		->     List[str]:


   """simple docstring"""







   _UpperCamelCase				=  [value for value in self.values if value is not None]
   _UpperCamelCase				=  next_prime(self.size_table				,      factor=2)
   self._keys.clear()
   _UpperCamelCase				=  [None] * self.size_table  # hell's pointers D: don't DRY ;/
   for value in survivor_values:
     self.insert_data(lowercase_)







 def 						__UpperCAmelCase							(						self							:					List[Any]				,      lowercase_							:					Optional[int])		->     int:


   """simple docstring"""







   _UpperCamelCase				=  self.hash_function(lowercase_)

   if self.values[key] is None:
     self._set_value(lowercase_				,      lowercase_)

   elif self.values[key] == data:
     pass

   else:
     _UpperCamelCase				=  self._collision_resolution(lowercase_				,      lowercase_)
     if collision_resolution is not None:
       self._set_value(lowercase_				,      lowercase_)
     else:
       self.rehashing()
       self.insert_data(lowercase_)





import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

lowerCamelCase__   = 180


def 							lowerCAmelCase__    (       a__  ,			a__      )	->List[str]:




  '''simple docstring'''

  _UpperCamelCase				=  k_size // 2
  _UpperCamelCase	,		_UpperCamelCase				=  np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  _UpperCamelCase				=  (
      1
      / (2 * np.pi * sigma)
      * np.exp(-(np.square(a__      ) + np.square(a__      )) / (2 * np.square(a__      ))      )
  )
  return g


def 							lowerCAmelCase__    (       a__  ,			a__  ,			a__      )	->Optional[int]:




  '''simple docstring'''

  _UpperCamelCase				=  np.zeros(a__      )

  for row in range(1  ,			image_shape[0] - 1      ):
    for col in range(1  ,			image_shape[1] - 1      ):
      _UpperCamelCase				=  gradient_direction[row, col]

      if (
          0 <= direction < PI / 8
          or 15 * PI / 8 <= direction <= 2 * PI
          or 7 * PI / 8 <= direction <= 9 * PI / 8
      ):
        _UpperCamelCase				=  sobel_grad[row, col - 1]
        _UpperCamelCase				=  sobel_grad[row, col + 1]
        if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
          _UpperCamelCase				=  sobel_grad[row, col]

      elif (
          PI / 8 <= direction < 3 * PI / 8
          or 9 * PI / 8 <= direction < 11 * PI / 8
      ):
        _UpperCamelCase				=  sobel_grad[row + 1, col - 1]
        _UpperCamelCase				=  sobel_grad[row - 1, col + 1]
        if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
          _UpperCamelCase				=  sobel_grad[row, col]

      elif (
          3 * PI / 8 <= direction < 5 * PI / 8
          or 11 * PI / 8 <= direction < 13 * PI / 8
      ):
        _UpperCamelCase				=  sobel_grad[row - 1, col]
        _UpperCamelCase				=  sobel_grad[row + 1, col]
        if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
          _UpperCamelCase				=  sobel_grad[row, col]

      elif (
          5 * PI / 8 <= direction < 7 * PI / 8
          or 13 * PI / 8 <= direction < 15 * PI / 8
      ):
        _UpperCamelCase				=  sobel_grad[row - 1, col - 1]
        _UpperCamelCase				=  sobel_grad[row + 1, col + 1]
        if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
          _UpperCamelCase				=  sobel_grad[row, col]

  return destination


def 							lowerCAmelCase__    (       a__  ,			a__  ,			a__  ,			a__  ,			a__  ,			a__      )	->Union[str, Any]:




  '''simple docstring'''

  for row in range(1  ,			image_shape[0] - 1      ):
    for col in range(1  ,			image_shape[1] - 1      ):
      if destination[row, col] >= threshold_high:
        _UpperCamelCase				=  strong
      elif destination[row, col] <= threshold_low:
        _UpperCamelCase				=  0
      else:
        _UpperCamelCase				=  weak


def 							lowerCAmelCase__    (       a__  ,			a__  ,			a__  ,			a__      )	->str:




  '''simple docstring'''

  for row in range(1  ,			image_shape[0]      ):
    for col in range(1  ,			image_shape[1]      ):
      if destination[row, col] == weak:
        if 255 in (
            destination[row, col + 1],
            destination[row, col - 1],
            destination[row - 1, col],
            destination[row + 1, col],
            destination[row - 1, col - 1],
            destination[row + 1, col - 1],
            destination[row - 1, col + 1],
            destination[row + 1, col + 1],
        ):
          _UpperCamelCase				=  strong
        else:
          _UpperCamelCase				=  0


def 							lowerCAmelCase__    (       a__  ,			a__=15  ,			a__=30  ,			a__=128  ,			a__=255      )	->str:




  '''simple docstring'''

  _UpperCamelCase				=  img_convolve(a__  ,			gen_gaussian_kernel(9  ,			sigma=1.4      )      )
  # get the gradient and degree by sobel_filter
  _UpperCamelCase	,		_UpperCamelCase				=  sobel_filter(a__      )
  _UpperCamelCase				=  PI + np.radadeg(a__      )

  _UpperCamelCase				=  suppress_non_maximum(image.shape  ,			a__  ,			a__      )

  detect_high_low_threshold(
      image.shape  ,			a__  ,			a__  ,			a__  ,			a__  ,			a__      )

  track_edge(image.shape  ,			a__  ,			a__  ,			a__      )

  return destination


if __name__ == "__main__":
   # read original image in gray mode
   lowerCamelCase__   = cva.imread(R'''../image_data/lena.jpg''', 0)
   # canny edge detection
   lowerCamelCase__   = canny(lena)
   cva.imshow('''canny''', canny_destination)
   cva.waitKey(0)




