Anton Hvornum Torxed

All tests were performed in a docker container, using the image postgres:15.4. All tests used the same test data, but with scrambled hash values.

Only deviation from postgresql default startup parameters were:

-c work_mem=2048MB
-c maintenance_work_mem=2048MB
-c max_wal_size=8GB

	def cidr_to_netmask(cidr :int, bitlen=32) -> str:
	netmask = ''
	while cidr > 8:
	netmask += '255.'
	cidr -= 8
	netmask += str(2 ** cidr - 1) # math.log(128, 2)

	return netmask + ('.0' * (3 - netmask.count('.') if bitlen == 32 else 7 - netmask.count('.')))

	import math
	import pyglet

	class Coordinate:
	x = 0
	y = 0

	def __repr__(self):
	return f'Coordinate(x: {self.x}, y: {self.y})'

	import pyglet
	import random

	pyglet.resource.path = ["resources"]
	pyglet.resource.reindex()
	# sets the resource path


	class Snake_Window(pyglet.window.Window):

	import pyglet

	key = pyglet.window.key

	class main(pyglet.window.Window):
	def __init__ (self, width=800, height=600, fps=False, args, *kwargs):
	super(main, self).__init__(width, height, args, *kwargs)
	self.x, self.y = 0, 0

	import pyglet
	from time import time

	window = pyglet.window.Window()
	last_update = time()
	def update(*args):
	global last_update
	print('Update was called every:', time()-last_update,'seconds')
	last_update = time()