# Table of n, a(n) for n = 1..100
# A320100 Automata sum similar to A102376 but using mod 5.
# Georg Fischer, Feb 20 2019 with (Python):
#
# import numpy as np
# from scipy import signal
# frameSize = 301
# filter = [[0, 1, 0], [1, 0, 1], [0, 1, 0]] # this defines the CA neighborhood
# frame  = np.zeros((frameSize, frameSize))
# fms2 = (frameSize+1) / 2
# frame[151, 151] = 1
# mod = 5
# sequence = []
# for j in range(100):
#     frame = signal.convolve2d(frame, filter, mode='same')
#     frame = np.mod(frame, mod)
#     sequence.append(np.sum(frame.reshape(1, -1)))
#     print(j + 1, np.sum(frame.reshape(1, -1)))
# 
1 4
2 16
3 44
4 61
5 4
6 16
7 64
8 176
9 244
10 16
11 64
12 201
13 324
14 556
15 44
16 176
17 324
18 736
19 1004
20 61
21 244
22 556
23 1004
24 1561
25 4
26 16
27 64
28 176
29 244
30 16
31 64
32 256
33 704
34 976
35 64
36 256
37 804
38 1296
39 2224
40 176
41 704
42 1296
43 2944
44 4016
45 244
46 976
47 2224
48 4016
49 6244
50 16
51 64
52 201
53 324
54 556
55 64
56 256
57 804
58 1296
59 2224
60 201
61 804
62 1976
63 2924
64 5061
65 324
66 1296
67 2924
68 6176
69 8964
70 556
71 2224
72 5061
73 8964
74 14056
75 44
76 176
77 324
78 736
79 1004
80 176
81 704
82 1296
83 2944
84 4016
85 324
86 1296
87 2924
88 6176
89 8964
90 736
91 2944
92 6176
93 9984
94 16096
95 1004
96 4016
97 8964
98 16096
99 25004
100 61