Tgub: Utworzono nową stronę " # -- coding: utf-8 -- """ Created on Wed Apr 1 12:13:20 2020 @author: Tomek """ # import numpy as np import pylab as py N=50 def wolfram(r):..."

2020-04-02T08:27:34Z

Utworzono nową stronę "<source lang="python"> # -*- coding: utf-8 -*- """ Created on Wed Apr 1 12:13:20 2020 @author: Tomek """ # import numpy as np import pylab as py N=50 def wolfram(r):..."

Nowa strona

<source lang="python">
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 1 12:13:20 2020

@author: Tomek
"""

#
import numpy as np
import pylab as py
N=50

def wolfram(r):
rule = [int(char) for char in format(r, 'b').zfill(8)]
p = np.zeros((N,N))
p[0,N//2] = 1
for t in range(1,N):
for x in range(N):
#sasiedztwo komórki x w chwili t-1
nei = [p[t-1,N-1] if x==0 else p[t-1,x-1], p[t-1,x],p[t-1,0] if x==N-1 else p[t-1,x+1]]

#przypisanie nowego stanu komórki x w chwili t na podstawie nei
#przykład nei=[1,1,0] -> odpowiada temu liczba 6 -> rule[7-6]
p[t,x]= rule[7-int(4*nei[0]+2*nei[1]+nei[2])]

return p

#pusty obrazek
image=np.zeros((16*N,16*N))

#wypelnianie obrazka
for x in range(16):
for y in range(16):
image[N*x:N*x+N,N*y:N*y+N] = wolfram(y*16+x)

py.imshow(image, interpolation='nearest',cmap='Greys')
</source>

TI/Skrypty z zajęć/6a - Historia wersji

Tgub: Utworzono nową stronę " # -*- coding: utf-8 -*- """ Created on Wed Apr 1 12:13:20 2020 @author: Tomek """ # import numpy as np import pylab as py N=50 def wolfram(r):..."

Tgub: Utworzono nową stronę " # -- coding: utf-8 -- """ Created on Wed Apr 1 12:13:20 2020 @author: Tomek """ # import numpy as np import pylab as py N=50 def wolfram(r):..."