Eli Sohl wootfish

wootfish / cached_memoize.py

Last active June 15, 2020 22:36

Measuring the resiliences of DHT networks

	from functools import wraps


	def _read_memo(fname="memo"):
	with open(fname, "r") as f:
	memo = eval(f.read())
	return memo


	def _write_memo(memo, fname="memo"):

wootfish / beta_test.py

Last active April 9, 2022 11:51

Test scripts for DHT size estimation

	# this script samples the distributions of the k closest peers to randomly
	# selected addresses and saves these to data files


	import datetime
	from multiprocessing import Process, Event
	import os
	import pprint
	import random

wootfish / sobeldream.py

Last active February 24, 2016 05:23

Deep Dream with the Sobel operator

	# imports and basic notebook setup
	from cStringIO import StringIO
	import numpy as np
	import scipy.ndimage as nd
	import PIL.Image
	from IPython.display import clear_output, Image, display
	from google.protobuf import text_format

	from random import randint

wootfish / demosine.py

Last active August 29, 2015 14:24

Demo of sine transform

	# imports and basic notebook setup
	from cStringIO import StringIO
	import numpy as np
	import scipy.ndimage as nd
	import PIL.Image
	from IPython.display import clear_output, Image, display
	from google.protobuf import text_format

	import os
	import sys

wootfish / fulldemo.py

Last active August 29, 2015 14:24

	#!/usr/bin/python2.7

	# imports and basic notebook setup
	from cStringIO import StringIO
	import numpy as np
	import scipy.ndimage as nd
	import PIL.Image
	from IPython.display import clear_output, Image, display
	from google.protobuf import text_format

wootfish / demo.py

Last active August 29, 2015 14:24

	#!/usr/bin/python2.7

	# imports and basic notebook setup
	from cStringIO import StringIO
	import numpy as np
	import scipy.ndimage as nd
	import PIL.Image
	from IPython.display import clear_output, Image, display
	from google.protobuf import text_format

wootfish / gist:74114158a367cfd8356b

Last active August 29, 2015 14:15

Heron's Formula with SymPy

	Python 2.7.8 (default, Oct 18 2014, 12:50:18)
	[GCC 4.9.1] on linux2
	Type "help", "copyright", "credits" or "license" for more information.
	>>> import sympy
	>>> x1, x2, x3 = sympy.symbols('x1 x2 x3')
	>>> y1, y2, y3 = sympy.symbols('y1 y2 y3')
	>>>
	>>> def distance(p1, p2):
	... # still using the Pythagorean Theorem
	... x = (p1[0] - p2[0]) ** 2

wootfish / gist:6d8a9ac708d391e7b8ca

Last active August 29, 2015 14:15

Heron's Formula in Python -- Naive

	Python 2.7.8 (default, Oct 18 2014, 12:50:18)
	[GCC 4.9.1] on linux2
	Type "help", "copyright", "credits" or "license" for more information.
	>>> def distance(p1, p2):
	... # this just uses the Pythagorean Theorem
	... x = (p1[0] - p2[0]) ** 2
	... y = (p1[1] - p2[1]) ** 2
	... return (x + y) ** 0.5
	...
	>>> def herons(a, b, c):