Tupper

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Tupper’s Formula Tools (tuppers-formula.ovh)

全部倒转过来

tupperexp

import numpy as np
import matplotlib.pyplot as plt
from PIL import Image


def Tupper_self_referential_formula(k):
    aa = np.zeros((17, 106))

    def f(x, y):
        y += k
        a1 = 2 ** -(-17 * x - y % 17)
        a2 = (y // 17) // a1
        return 1 if a2 % 2 > 0.5 else 0

    for y in range(17):
        for x in range(106):
            aa[y, x] = f(x, y)
    return aa[:, ::-1]


k = 9489414856877039590479997730148554425666925984049232945604842888420596111937489062065081199094002132087091572191187170308560128611026043144427876131133135794969867759108490917632153891963456295991713868378392769549376070709924497237322046334486274987407067993824142187115870972520417207510521083293280152434558803258138899515603807505064799735152359900010019631133734298562293682916239050320580346316026460860919542540955914826806059123630945216006606268974979135253968165822806241305783300650874506602000048154282039485531804337171305656252


aa = Tupper_self_referential_formula(k)
plt.figure(figsize=(15, 10))
plt.imshow(aa, origin='lower')
plt.savefig("tupper.png")
img = Image.open('tupper.png')
# 翻转
dst1 = img.transpose(Image.FLIP_LEFT_RIGHT).rotate(180)
plt.imshow(dst1)
plt.show()