
'''simple docstring'''
from __future__ import annotations

from typing import Generic, TypeVar

a_           =    TypeVar("T")






class  UpperCAmelCase_					(						Generic[T]       ):





 def __init__(     self			,							lowercase_):
     snake_case_			:     Dict        =    data  # Assign data
     snake_case_			:     Node[T] | None        =    None  # Initialize next as null
     snake_case_			:     Node[T] | None        =    None  # Initialize prev as null






class  UpperCAmelCase_					(						Generic[T]       ):





 def __init__(     self):
     snake_case_			:     Node[T] | None        =    None





 def 							snake_case__		(     self			,							lowercase_):
     if self.head is None:
         snake_case_			:     Any        =    Node(lowercase_)
     else:
         snake_case_			:     Optional[Any]        =    Node(lowercase_)
         snake_case_			:     Optional[int]        =    new_node
         snake_case_			:     Tuple        =    self.head
         snake_case_			:     Tuple        =    None
         snake_case_			:     Optional[Any]        =    new_node





 def 							snake_case__		(     self):
     if self.head is None:
         return None
     else:
         assert self.head is not None
         snake_case_			:     Dict        =    self.head.data
         snake_case_			:     List[str]        =    self.head.next
         if self.head is not None:
             snake_case_			:     Union[str, Any]        =    None
         return temp





 def 							snake_case__		(     self):
     return self.head.data if self.head is not None else None





 def __len__(     self):
     snake_case_			:     int        =    self.head
     snake_case_			:     List[str]        =    0
     while temp is not None:
         count += 1
         snake_case_			:     str        =    temp.next
     return count





 def 							snake_case__		(     self):
     return self.head is None





 def 							snake_case__		(     self):
     print("stack elements are:")
     snake_case_			:     int        =    self.head
     while temp is not None:
         print(temp.data			,							end="->")
         snake_case_			:     Optional[Any]        =    temp.next


# Code execution starts here
if __name__ == "__main__":
  # Start with the empty stack
  a_           =    Stack()

  # Insert 4 at the beginning. So stack becomes 4->None
  print("Stack operations using Doubly LinkedList")
  stack.push(4)

  # Insert 5 at the beginning. So stack becomes 4->5->None
  stack.push(5)

  # Insert 6 at the beginning. So stack becomes 4->5->6->None
  stack.push(6)

  # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
  stack.push(7)

  # Print the stack
  stack.print_stack()

  # Print the top element
  print("\nTop element is ", stack.top())

  # Print the stack size
  print("Size of the stack is ", len(stack))

  # pop the top element
  stack.pop()

  # pop the top element
  stack.pop()

  # two elements have now been popped off
  stack.print_stack()

  # Print True if the stack is empty else False
  print("\nstack is empty:", stack.is_empty())






'''simple docstring'''
import numpy as np
from PIL import Image

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    snake_case_      ,			snake_case_      ,			snake_case_			:     List[str]        =    rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
    return 0.2989 * r + 0.5870 * g + 0.1140 * b

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    return (gray > 1_2_7) & (gray <= 2_5_5)

def     UpperCamelCase_  (						__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							):
    """simple docstring"""






    snake_case_			:     Any        =    np.zeros_like(__SCREAMING_SNAKE_CASE							)
    snake_case_			:     Tuple        =    np.zeros(
        (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)							)

    # Copy image to padded image
    snake_case_			:     Union[str, Any]        =    image

    # Iterate over image & apply kernel
    for x in range(image.shape[1]							):
        for y in range(image.shape[0]							):
            snake_case_			:     List[str]        =    (
                kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
            ).sum()
            snake_case_			:     Dict        =    int(summation == 5							)
    return output


# kernel to be applied
a_           =    np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
  # read original image
  a_           =    np.array(Image.open(R"..\image_data\lena.jpg"))
  # Apply erosion operation to a binary image
  a_           =    erosion(grayabinary(rgbagray(image)), structuring_element)
  # Save the output image
  a_           =    Image.fromarray(output).convert("RGB")
  pil_img.save("result_erosion.png")




