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In [4]: import numpy as np
In [5]: #parameters are described at PARAMETERS.txt
...: # CGOL
...: r=1; bmin=3; bmax=3; smin=3; smax=4
In [7]: import scipy.ndimage
In [13]: kernel = [[1, 1, 1],[ 1 ,1, 1],[ 1, 1, 1]] # define neighbors
In [15]: kr=np.array(kernel)
In [16]: kr
Out[16]:
array([[1, 1, 1],
[1, 1, 1],
[1, 1, 1]])
In [26]:
...: OR = np.logical_or
...: AND = np.logical_and
...:
In [27]: world=[
...: [0,0,0,0],
...: [0,1,0,0],
...: [0,1,0,0],
...: [0,1,0,0],
...: [0,0,0,0],
...: ] # a blinker
...:
In [28]: a=np.array(world)
In [29]: n=scipy.ndimage.convolve(a,kr)
In [30]: n
Out[30]:
array([[1, 1, 1, 0],
[2, 2, 2, 0],
[3, 3, 3, 0],
[2, 2, 2, 0],
[1, 1, 1, 0]])
In [31]: birth = AND( n>=bmin, AND( n<=bmax, np.logical_not(a) ) )
In [32]: birth
Out[32]:
array([[False, False, False, False],
[False, False, False, False],
[ True, False, True, False],
[False, False, False, False],
[False, False, False, False]], dtype=bool)
In [33]: survi = AND( n>=smin, AND( n<=smax, a ) )
In [34]: survi
Out[34]:
array([[False, False, False, False],
[False, False, False, False],
[False, True, False, False],
[False, False, False, False],
[False, False, False, False]], dtype=bool)
In [35]: a = OR( birth , survi )
In [36]: a
Out[36]:
array([[False, False, False, False],
[False, False, False, False],
[ True, True, True, False],
[False, False, False, False],
[False, False, False, False]], dtype=bool)
# a blinker
