Nikolay Mihaylov nmmmnu

## Activate_Windows_8_8.1_10_and_11_Pro_for_Free.md

      
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                nmmmnu
                / Activate_Windows_8_8.1_10_and_11_Pro_for_Free.md
            
            
              Created
              January 13, 2024 14:45
                — forked from Minionguyjpro/Activate_Windows_8_8.1_10_and_11_Pro_for_Free.md
            
              
                Activate Windows 8, 8.1, 10 and 11 Pro for Free
              
          
    Activate Windows 8, 8.1, 10 and 11 Pro for Free

A guide how to get and activate Windows 8, 8.1, 10 and 11 Pro for free!
NOTE

If you see the Windows keyboard button  in this guide; and you can't find it on your keyboard, you likely have/had Windows 10 which has the button . If you can't find that one, you likely have a PC that has been upgraded to Windows 8/8.1/10/11 from Windows 8.1/8/7/Vista/XP and other ones. If you have one of those, refer the Windows key button to as yours. A list of them is below:
Windows key buttons

 - Windows 11
 - Windows 10

  
## point_in_polygon.py
from polygenerator import random_polygon
import matplotlib.pyplot as plt


def is_inside(edges, xp, yp):
    cnt = 0
    for edge in edges:
        (x1, y1), (x2, y2) = edge
        if (yp < y1) != (yp < y2) and xp < x1 + ((yp-y1)/(y2-y1))*(x2-x1):
            cnt += 1

## lp_counters.py
"""
Simple Linear Probabilistic Counters

Credit for idea goes to:
http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html
http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-data-mining/

Installation:
    pip install smhasher
    pip install bitarray
	from polygenerator import random_polygon
	import matplotlib.pyplot as plt


	def is_inside(edges, xp, yp):
	cnt = 0
	for edge in edges:
	(x1, y1), (x2, y2) = edge
	if (yp < y1) != (yp < y2) and xp < x1 + ((yp-y1)/(y2-y1))*(x2-x1):
	cnt += 1
	"""
	Simple Linear Probabilistic Counters

	Credit for idea goes to:
	http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html
	http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-data-mining/

	Installation:
	pip install smhasher
	pip install bitarray