Plotting graphs from Tupper's self-referential formula

tupper.py

import matplotlib.pyplot as plt

def tupper(x, y):
    return 0.5 < ((y/h) // 2**(h*x + y%h))%2

# Your value k here
k = 32922520572696913382451905912623623647167183726429121431754312885129411666885193915949745564208638847962779004960137820128309880253556326299620426051843316781711466694127750198822966039318977833943222930199125709567725963414828291187020468933092013936070802306399352123884523508901675580302517101305664361846330981066146182280532463873220739993581702910381088258207784043222527183537656464346321232788544747517684361869138095386938096713005390871951618586863662892224485886579202764210376205132486407529459098019294538104832
h = 17
w = 106

fontsize = 25
labelsize = 25

plt.rc('patch', antialiased=False)
plt.rc('font', size=fontsize, family='serif')
plt.rc('text', usetex=True)

for x in xrange(w):
    for y in xrange(h):
        if tupper(x, y + k):
            plt.bar(left=x, bottom=y, height=1, width=1, linewidth=0, color='k')
plt.axis('scaled')
plt.xlim([0, w])
plt.xticks([0, w], ['0', '106'])
plt.ylim([0, h])
plt.yticks([0, h], ['k', 'k + 17'])

g = plt.gca()
g.tick_params(axis='x', labelsize=labelsize)
g.tick_params(axis='y', labelsize=labelsize)
plt.show(False)
plt.tight_layout()