Issues concerning gun & guntrue submissions on Catagolue - solution discussion thread

[dvgrn]

Quick follow-up to the previous post:

Among guns above 100x100, there's a very sudden and suspicious drop-off in density after guntrue_3359; guntrue_2213 is the first gun below a density of 0.1, and it's not overdensified, whereas guntrue_3359 is.

I suspect the top of this list is going to be a big proportion of the remaining problem. Maybe there will be some guns with a height or width below 100 that I've incorrectly filtered out, though.

The next interesting code snippet that AI could write for someone in a few minutes, would be a Golly script that takes this list

Code: Select all

2311,7883,3389,3301,8011,2399,2351,2203,6079,4133,6779,4139,5839,2239,4259,2957,3253,2243,5939,3373,2339,5323,5807,5923,3209,6343,2267,3433,5743,2287,6763,4243,5791,7691,3449,6247,3547,3733,5927,4099,2111,2969,7643,6143,4027,4723,3001,5783,3779,7351,4019,3257,4219,5479,3181,2837,2347,3539,5119,3739,7591,2423,2621,2179,2861,6571,3931,5419,3229,3169,2777,2251,2447,3061,4051,4261,2371,2909,2953,4637,2087,2789,2063,3089,6691,2207,2729,3121,2131,5107,2857,6703,3217,4502,3137,4951,5591,3049,4349,3643,4157,2753,5827,6451,5903,4943,2083,7411,3499,2039,2657,4093,2693,6823,2593,4373,5471,5099,3221,2099,3907,3659,5207,6679,5179,4357,2833,2713,4253,4021,3877,2741,3109,2617,4397,4013,3797,2689,2749,5227,3821,2609,3989,5443,3691,2897,3943,5231,4111,4007,4231,3271,3727,4127,3919,4079,3391,3847,3719,3343,3511,3463,3559,3767,3607,3527,3623,3407,3967,3631,3671,3583,3359

and auto-dedensifies each gun by removing all the cells that it can perfectly well get along without. Anyone want to try it?

guntrue_2311, density 0.143
guntrue_7883, density 0.143
guntrue_3389, density 0.1423
guntrue_3301, density 0.1422
guntrue_8011, density 0.142
guntrue_2399, density 0.1418
guntrue_2351, density 0.1416
guntrue_2203, density 0.1412
guntrue_6079, density 0.141
guntrue_4133, density 0.1409
guntrue_6779, density 0.1409
guntrue_4139, density 0.1409
guntrue_5839, density 0.1403
guntrue_2239, density 0.1402
guntrue_4259, density 0.1401
guntrue_2957, density 0.14
guntrue_3253, density 0.1399
guntrue_2243, density 0.1399
guntrue_5939, density 0.1399
guntrue_3373, density 0.1398
guntrue_2339, density 0.1398
guntrue_5323, density 0.1397
guntrue_5807, density 0.1397
guntrue_5923, density 0.1396
guntrue_3209, density 0.1395
guntrue_6343, density 0.1395
guntrue_2267, density 0.1395
guntrue_3433, density 0.1395
guntrue_5743, density 0.1394
guntrue_2287, density 0.1394
guntrue_6763, density 0.1393
guntrue_4243, density 0.1393
guntrue_5791, density 0.1392
guntrue_7691, density 0.1392
guntrue_3449, density 0.139
guntrue_6247, density 0.139
guntrue_3547, density 0.139
guntrue_3733, density 0.1389
guntrue_5927, density 0.1388
guntrue_4099, density 0.1388
guntrue_2111, density 0.1387
guntrue_2969, density 0.1387
guntrue_7643, density 0.1387
guntrue_6143, density 0.1385
guntrue_4027, density 0.1384
guntrue_4723, density 0.1382
guntrue_3001, density 0.1381
guntrue_5783, density 0.1381
guntrue_3779, density 0.138
guntrue_7351, density 0.1379
guntrue_4019, density 0.1378
guntrue_3257, density 0.1378
guntrue_4219, density 0.1378
guntrue_5479, density 0.1378
guntrue_3181, density 0.1378
guntrue_2837, density 0.1376
guntrue_2347, density 0.1375
guntrue_3539, density 0.1375
guntrue_5119, density 0.1374
guntrue_3739, density 0.1373
guntrue_7591, density 0.1373
guntrue_2423, density 0.1373
guntrue_2621, density 0.1372
guntrue_2179, density 0.1372
guntrue_2861, density 0.1371
guntrue_6571, density 0.1371
guntrue_3931, density 0.1371
guntrue_5419, density 0.1371
guntrue_3229, density 0.137
guntrue_3169, density 0.1369
guntrue_2777, density 0.1369
guntrue_2251, density 0.1369
guntrue_2447, density 0.1369
guntrue_3061, density 0.1369
guntrue_4051, density 0.1369
guntrue_4261, density 0.1367
guntrue_2371, density 0.1367
guntrue_2909, density 0.1366
guntrue_2953, density 0.1366
guntrue_4637, density 0.1365
guntrue_2087, density 0.1364
guntrue_2789, density 0.1364
guntrue_2063, density 0.1363
guntrue_3089, density 0.1363
guntrue_6691, density 0.1363
guntrue_2207, density 0.1363
guntrue_2729, density 0.1362
guntrue_3121, density 0.1361
guntrue_2131, density 0.136
guntrue_5107, density 0.136
guntrue_2857, density 0.136
guntrue_6703, density 0.1359
guntrue_3217, density 0.1358
guntrue_4502, density 0.1358
guntrue_3137, density 0.1357
guntrue_4951, density 0.1356
guntrue_5591, density 0.1356
guntrue_3049, density 0.1355
guntrue_4349, density 0.1355
guntrue_3643, density 0.1355
guntrue_4157, density 0.1355
guntrue_2753, density 0.1354
guntrue_5827, density 0.1354
guntrue_6451, density 0.1353
guntrue_5903, density 0.1353
guntrue_4943, density 0.1352
guntrue_2083, density 0.1351
guntrue_7411, density 0.135
guntrue_3499, density 0.1349
guntrue_2039, density 0.1348
guntrue_2657, density 0.1347
guntrue_4093, density 0.1346
guntrue_2693, density 0.1346
guntrue_6823, density 0.1345
guntrue_2593, density 0.1344
guntrue_4373, density 0.1344
guntrue_5471, density 0.1344
guntrue_5099, density 0.1343
guntrue_3221, density 0.1343
guntrue_2099, density 0.1341
guntrue_3907, density 0.1341
guntrue_3659, density 0.134
guntrue_5207, density 0.1339
guntrue_6679, density 0.1337
guntrue_5179, density 0.1337
guntrue_4357, density 0.1336
guntrue_2833, density 0.1334
guntrue_2713, density 0.1333
guntrue_4253, density 0.1333
guntrue_4021, density 0.1332
guntrue_3877, density 0.1331
guntrue_2741, density 0.1331
guntrue_3109, density 0.1331
guntrue_2617, density 0.1329
guntrue_4397, density 0.1329
guntrue_4013, density 0.1328
guntrue_3797, density 0.1327
guntrue_2689, density 0.1326
guntrue_2749, density 0.1325
guntrue_5227, density 0.1322
guntrue_3821, density 0.1321
guntrue_2609, density 0.1321
guntrue_3989, density 0.1316
guntrue_5443, density 0.1312
guntrue_3691, density 0.1306
guntrue_2897, density 0.1304
guntrue_3943, density 0.1296
guntrue_5231, density 0.1295
guntrue_4111, density 0.1294
guntrue_4007, density 0.1285
guntrue_4231, density 0.1284
guntrue_3271, density 0.1271
guntrue_3727, density 0.1259
guntrue_4127, density 0.1259
guntrue_3919, density 0.1254
guntrue_4079, density 0.125
guntrue_3391, density 0.1248
guntrue_3847, density 0.1245
guntrue_3719, density 0.1241
guntrue_3343, density 0.1241
guntrue_3511, density 0.1239
guntrue_3463, density 0.1238
guntrue_3559, density 0.1229
guntrue_3767, density 0.1228
guntrue_3607, density 0.1228
guntrue_3527, density 0.1227
guntrue_3623, density 0.1227
guntrue_3407, density 0.1219
guntrue_3967, density 0.1218
guntrue_3631, density 0.1215
guntrue_3671, density 0.1214
guntrue_3583, density 0.1208
guntrue_3359, density 0.1195
guntrue_2213, density 0.0656
guntrue_2237, density 0.0649
guntrue_2687, density 0.0643
guntrue_2269, density 0.0642
guntrue_5101, density 0.0639
guntrue_2221, density 0.0633
guntrue_2293, density 0.0627
guntrue_2153, density 0.0624
guntrue_4909, density 0.0624
guntrue_4957, density 0.0624
guntrue_5333, density 0.0623
guntrue_7949, density 0.062
guntrue_2767, density 0.0619
guntrue_5261, density 0.0614
guntrue_7621, density 0.0613
guntrue_5693, density 0.0612
guntrue_4973, density 0.0612
guntrue_5021, density 0.0612
guntrue_7789, density 0.0607
guntrue_4933, density 0.0606
guntrue_5077, density 0.0606
guntrue_5813, density 0.0606
guntrue_7717, density 0.0601
guntrue_7877, density 0.0601
guntrue_8117, density 0.0601
guntrue_5821, density 0.0601
guntrue_2711, density 0.0601
guntrue_5869, density 0.06
guntrue_5749, density 0.0596
guntrue_8221, density 0.0593
guntrue_8429, density 0.0592
guntrue_7481, density 0.0592
guntrue_7561, density 0.0584
guntrue_8293, density 0.0583
guntrue_4391, density 0.0583
guntrue_2791, density 0.0583
guntrue_5237, density 0.0583
guntrue_8053, density 0.0581
guntrue_2411, density 0.058
guntrue_7649, density 0.0579
guntrue_5483, density 0.0575
guntrue_6091, density 0.0574
guntrue_8389, density 0.0572
guntrue_7741, density 0.0571
guntrue_7901, density 0.0571
guntrue_6073, density 0.0571
guntrue_7817, density 0.057
guntrue_4363, density 0.057
guntrue_6047, density 0.0568
guntrue_4787, density 0.0567
guntrue_8237, density 0.0567
guntrue_8317, density 0.0566
guntrue_7669, density 0.0565
guntrue_4987, density 0.0564
guntrue_5651, density 0.0564
guntrue_6067, density 0.0563
guntrue_7829, density 0.0562
guntrue_8803, density 0.0561
guntrue_6043, density 0.056
guntrue_2803, density 0.056
guntrue_9239, density 0.0559
guntrue_8069, density 0.0559
guntrue_6121, density 0.0558
guntrue_2467, density 0.0557
guntrue_7757, density 0.0556
guntrue_6151, density 0.0555
guntrue_2879, density 0.0555
guntrue_4339, density 0.0555
guntrue_7867, density 0.0554
guntrue_2819, density 0.0554
guntrue_5059, density 0.0554
guntrue_6203, density 0.0554
guntrue_9319, density 0.0554
guntrue_9311, density 0.0554
guntrue_7853, density 0.0553
guntrue_1787, density 0.0553
guntrue_5659, density 0.0553
guntrue_6029, density 0.0552
guntrue_4463, density 0.0551
guntrue_6547, density 0.055
guntrue_1877, density 0.0549
guntrue_6113, density 0.0548
guntrue_6053, density 0.0547
guntrue_6619, density 0.0547
guntrue_7687, density 0.0546
guntrue_6263, density 0.0546
guntrue_5507, density 0.0545
guntrue_5147, density 0.0545
guntrue_2281, density 0.0544
guntrue_6271, density 0.0544
guntrue_2459, density 0.0543
guntrue_1811, density 0.0543
guntrue_6037, density 0.0543
guntrue_6133, density 0.0543
guntrue_6841, density 0.0543
guntrue_7927, density 0.0542
guntrue_9323, density 0.0542
guntrue_4519, density 0.0542
guntrue_9337, density 0.0541
guntrue_6089, density 0.0541
guntrue_9419, density 0.0541
guntrue_5779, density 0.0541
guntrue_1949, density 0.0541
guntrue_7993, density 0.054
guntrue_4451, density 0.0539
guntrue_6163, density 0.0539
guntrue_4507, density 0.0538
guntrue_7933, density 0.0538
guntrue_4423, density 0.0538
guntrue_4483, density 0.0538
guntrue_2903, density 0.0538
guntrue_5563, density 0.0538
guntrue_4597, density 0.0538
guntrue_4421, density 0.0537
guntrue_6211, density 0.0537
guntrue_9293, density 0.0537
guntrue_7607, density 0.0537
guntrue_2843, density 0.0537
guntrue_6857, density 0.0536
guntrue_2887, density 0.0536
guntrue_5843, density 0.0536
guntrue_9433, density 0.0536
guntrue_9403, density 0.0536
guntrue_4517, density 0.0535
guntrue_4591, density 0.0535
guntrue_6101, density 0.0535
guntrue_9343, density 0.0535
guntrue_4447, density 0.0535
guntrue_6329, density 0.0535
guntrue_6221, density 0.0534
guntrue_8923, density 0.0534
guntrue_4457, density 0.0534
guntrue_4793, density 0.0534
guntrue_6217, density 0.0534
guntrue_2851, density 0.0533
guntrue_4549, density 0.0532
guntrue_2927, density 0.0532
guntrue_6337, density 0.0532
guntrue_3163, density 0.0531
guntrue_8501, density 0.0531
guntrue_1901, density 0.053
guntrue_9697, density 0.0529
guntrue_5981, density 0.0528
guntrue_6793, density 0.0528
guntrue_5189, density 0.0528
guntrue_6131, density 0.0527
guntrue_9511, density 0.0527
guntrue_9739, density 0.0527
guntrue_8819, density 0.0526
guntrue_9521, density 0.0526
guntrue_3529, density 0.0526
guntrue_6197, density 0.0526
guntrue_6917, density 0.0526
guntrue_9461, density 0.0525
guntrue_5197, density 0.0525
guntrue_2441, density 0.0524
guntrue_9467, density 0.0524
guntrue_3187, density 0.0524
guntrue_5881, density 0.0524
guntrue_6869, density 0.0524
guntrue_6883, density 0.0524
guntrue_6899, density 0.0524
guntrue_4493, density 0.0524
guntrue_9043, density 0.0523
guntrue_9491, density 0.0523
guntrue_4583, density 0.0522
guntrue_2309, density 0.0522
guntrue_9601, density 0.0521
guntrue_4441, density 0.0521
guntrue_7001, density 0.0521
guntrue_9689, density 0.0521
guntrue_8093, density 0.0521
guntrue_6269, density 0.0521
guntrue_4639, density 0.052
guntrue_4679, density 0.052
guntrue_6353, density 0.052
guntrue_1973, density 0.052
guntrue_9463, density 0.052
guntrue_9623, density 0.052
guntrue_4409, density 0.052
guntrue_9431, density 0.0519
guntrue_6301, density 0.0519
guntrue_9587, density 0.0519
guntrue_6553, density 0.0519
guntrue_5851, density 0.0519
guntrue_8081, density 0.0519
guntrue_6379, density 0.0518
guntrue_6317, density 0.0518
guntrue_2473, density 0.0518
guntrue_6833, density 0.0517
guntrue_2971, density 0.0517
guntrue_8629, density 0.0516
guntrue_9679, density 0.0516
guntrue_8461, density 0.0516
guntrue_2551, density 0.0516
guntrue_7109, density 0.0516
guntrue_4603, density 0.0516
guntrue_4621, density 0.0516
guntrue_3203, density 0.0515
guntrue_2531, density 0.0515
guntrue_4651, density 0.0515
guntrue_9497, density 0.0515
guntrue_8101, density 0.0514
guntrue_6977, density 0.0514
guntrue_9391, density 0.0514
guntrue_9551, density 0.0514
guntrue_9631, density 0.0514
guntrue_4513, density 0.0514
guntrue_6949, density 0.0513
guntrue_5171, density 0.0513
guntrue_6257, density 0.0513
guntrue_4691, density 0.0512
guntrue_9397, density 0.0512
guntrue_9931, density 0.0512
guntrue_2939, density 0.0511
guntrue_6173, density 0.051
guntrue_2333, density 0.051
guntrue_4481, density 0.051
guntrue_9413, density 0.051
guntrue_9857, density 0.051
guntrue_4759, density 0.051
guntrue_3517, density 0.0509
guntrue_6959, density 0.0508
guntrue_5897, density 0.0508
guntrue_1997, density 0.0508
guntrue_9923, density 0.0508
guntrue_8269, density 0.0507
guntrue_5437, density 0.0507
guntrue_7069, density 0.0507
guntrue_9851, density 0.0507
guntrue_4567, density 0.0507
guntrue_6491, density 0.0507
guntrue_7019, density 0.0507
guntrue_4801, density 0.0506
guntrue_6361, density 0.0506
guntrue_7951, density 0.0506
guntrue_2539, density 0.0506
guntrue_5347, density 0.0506
guntrue_9767, density 0.0506
guntrue_4751, density 0.0505
guntrue_6277, density 0.0505
guntrue_6871, density 0.0505
guntrue_2543, density 0.0505
guntrue_4553, density 0.0504
guntrue_4643, density 0.0504
guntrue_6449, density 0.0504
guntrue_4831, density 0.0504
guntrue_2963, density 0.0504
guntrue_6299, density 0.0504
guntrue_7417, density 0.0503
guntrue_3673, density 0.0503
guntrue_9439, density 0.0503
guntrue_9479, density 0.0503
guntrue_9719, density 0.0503
guntrue_6961, density 0.0503
guntrue_6659, density 0.0503
guntrue_9377, density 0.0502
guntrue_4561, density 0.0502
guntrue_8219, density 0.0502
guntrue_7129, density 0.0502
guntrue_3259, density 0.0502
guntrue_6229, density 0.0501
guntrue_2341, density 0.0501
guntrue_4999, density 0.0501
guntrue_5867, density 0.05
guntrue_9839, density 0.05
guntrue_7121, density 0.05
guntrue_2357, density 0.05
guntrue_2999, density 0.05
guntrue_6967, density 0.05
guntrue_9993, density 0.05
guntrue_6997, density 0.05
guntrue_2521, density 0.0499
guntrue_7369, density 0.0499
guntrue_3011, density 0.0499
guntrue_1709, density 0.0499
guntrue_7013, density 0.0499
guntrue_9059, density 0.0498
guntrue_9803, density 0.0498
guntrue_5501, density 0.0498
guntrue_6569, density 0.0497
guntrue_2297, density 0.0497
guntrue_6907, density 0.0496
guntrue_3251, density 0.0496
guntrue_7237, density 0.0496
guntrue_9421, density 0.0496
guntrue_2591, density 0.0496
guntrue_7057, density 0.0496
guntrue_4799, density 0.0496
guntrue_7309, density 0.0495
guntrue_9371, density 0.0495
guntrue_7229, density 0.0495
guntrue_4663, density 0.0495
guntrue_6473, density 0.0495
guntrue_5009, density 0.0495
guntrue_3593, density 0.0495
guntrue_9733, density 0.0495
guntrue_3019, density 0.0495
guntrue_7963, density 0.0495
guntrue_3557, density 0.0494
guntrue_7727, density 0.0494
guntrue_9661, density 0.0494
guntrue_9749, density 0.0494
guntrue_7529, density 0.0494
guntrue_5309, density 0.0494
guntrue_8191, density 0.0494
guntrue_9887, density 0.0493
guntrue_1867, density 0.0493
guntrue_7027, density 0.0493
guntrue_8431, density 0.0493
guntrue_9473, density 0.0493
guntrue_8543, density 0.0492
guntrue_6481, density 0.0492
guntrue_6991, density 0.0491
guntrue_6529, density 0.0491
guntrue_2579, density 0.0491
guntrue_3617, density 0.0491
guntrue_9811, density 0.0491
guntrue_7253, density 0.0491
guntrue_5953, density 0.049
guntrue_4159, density 0.049
guntrue_3307, density 0.049
guntrue_5381, density 0.049
guntrue_7537, density 0.049
guntrue_2381, density 0.0489
guntrue_9901, density 0.0489
guntrue_5477, density 0.0489
guntrue_4871, density 0.0489
guntrue_9067, density 0.0489
guntrue_6199, density 0.0488
guntrue_6521, density 0.0488
guntrue_9859, density 0.0487
guntrue_8963, density 0.0487
guntrue_3023, density 0.0487
guntrue_9539, density 0.0487
guntrue_5581, density 0.0486
guntrue_2377, density 0.0486
guntrue_6577, density 0.0486
guntrue_2017, density 0.0486
guntrue_1907, density 0.0485
guntrue_5557, density 0.0485
guntrue_2437, density 0.0484
guntrue_3319, density 0.0484
guntrue_8233, density 0.0484
guntrue_9619, density 0.0484
guntrue_2633, density 0.0483
guntrue_4229, density 0.0483
guntrue_8009, density 0.0483
guntrue_1879, density 0.0483
guntrue_8447, density 0.0483
guntrue_9829, density 0.0482
guntrue_6287, density 0.0482
guntrue_4703, density 0.0482
guntrue_6323, density 0.0482
guntrue_7549, density 0.0482
guntrue_9743, density 0.0481
guntrue_6311, density 0.0481
guntrue_2647, density 0.0481
guntrue_4969, density 0.0481
guntrue_9437, density 0.0481
guntrue_5431, density 0.0481
guntrue_1931, density 0.048
guntrue_9721, density 0.048
guntrue_8893, density 0.048
guntrue_9283, density 0.0479
guntrue_7433, density 0.0479
guntrue_2389, density 0.0479
guntrue_1741, density 0.0479
guntrue_6551, density 0.0479
guntrue_5573, density 0.0478
guntrue_3571, density 0.0478
guntrue_8797, density 0.0478
guntrue_6367, density 0.0478
guntrue_1933, density 0.0478
guntrue_9791, density 0.0477
guntrue_9871, density 0.0477
guntrue_2663, density 0.0477
guntrue_8971, density 0.0476
guntrue_3467, density 0.0476
guntrue_8669, density 0.0476
guntrue_7193, density 0.0476
guntrue_5413, density 0.0476
guntrue_9787, density 0.0476
guntrue_9547, density 0.0475
guntrue_3761, density 0.0475
guntrue_8741, density 0.0475
guntrue_3331, density 0.0474
guntrue_3079, density 0.0473
guntrue_6563, density 0.0473
guntrue_6791, density 0.0473
guntrue_3299, density 0.0473
guntrue_7393, density 0.0473
guntrue_2659, density 0.0472
guntrue_2671, density 0.0472
guntrue_8089, density 0.0472
guntrue_8161, density 0.0472
guntrue_9109, density 0.0472
guntrue_4919, density 0.0472
guntrue_1979, density 0.0472
guntrue_1987, density 0.0472
guntrue_8677, density 0.0472
guntrue_6689, density 0.0471
guntrue_9187, density 0.0471
guntrue_5669, density 0.0471
guntrue_2089, density 0.047
guntrue_3709, density 0.047
guntrue_8663, density 0.047
guntrue_8291, density 0.0469
guntrue_3371, density 0.0469
guntrue_1951, density 0.0469
guntrue_6581, density 0.0469
guntrue_2027, density 0.0469
guntrue_9221, density 0.0469
guntrue_9929, density 0.0468
guntrue_8311, density 0.0468
guntrue_6803, density 0.0468
guntrue_5653, density 0.0468
guntrue_2003, density 0.0468
guntrue_2021, density 0.0468
guntrue_3637, density 0.0467
guntrue_3697, density 0.0467
guntrue_3833, density 0.0467
guntrue_9013, density 0.0467
guntrue_2683, density 0.0466
guntrue_2069, density 0.0466
guntrue_6737, density 0.0466
guntrue_9998, density 0.0466
guntrue_8111, density 0.0466
guntrue_9817, density 0.0465
guntrue_6421, density 0.0465
guntrue_3083, density 0.0465
guntrue_3323, density 0.0465
guntrue_1999, density 0.0464
guntrue_6673, density 0.0464
guntrue_2029, density 0.0464
guntrue_2081, density 0.0464
guntrue_3347, density 0.0463
guntrue_2393, density 0.0463
guntrue_2477, density 0.0462
guntrue_3067, density 0.0462
guntrue_9533, density 0.0462
guntrue_9629, density 0.0462
guntrue_5233, density 0.0462
guntrue_8573, density 0.0461
guntrue_3803, density 0.0461
guntrue_8581, density 0.0461
guntrue_9341, density 0.0461
guntrue_5717, density 0.0461
guntrue_8861, density 0.0461
guntrue_6661, density 0.046
guntrue_8363, density 0.046
guntrue_8273, density 0.046
guntrue_9613, density 0.046
guntrue_7213, density 0.046
guntrue_5003, density 0.046
guntrue_5081, density 0.046
guntrue_4783, density 0.046
guntrue_9883, density 0.046
guntrue_6911, density 0.046
guntrue_5701, density 0.046
guntrue_8329, density 0.046
guntrue_8887, density 0.046
guntrue_2801, density 0.0459
guntrue_3793, density 0.0459
guntrue_8849, density 0.0459
guntrue_5741, density 0.0459
guntrue_2549, density 0.0459
guntrue_8419, density 0.0459
guntrue_3677, density 0.0459
guntrue_3881, density 0.0458
guntrue_8693, density 0.0458
guntrue_3119, density 0.0458
guntrue_9643, density 0.0458
guntrue_2011, density 0.0458
guntrue_9967, density 0.0457
guntrue_7043, density 0.0457
guntrue_1789, density 0.0457
guntrue_7297, density 0.0457
guntrue_9349, density 0.0456
guntrue_3863, density 0.0456
guntrue_9833, density 0.0456
guntrue_2719, density 0.0456
guntrue_8353, density 0.0456
guntrue_9133, density 0.0455
guntrue_9949, density 0.0455
guntrue_7457, density 0.0455
guntrue_3911, density 0.0455
guntrue_8231, density 0.0455
guntrue_7523, density 0.0455
guntrue_3823, density 0.0454
guntrue_8123, density 0.0454
guntrue_5683, density 0.0454
guntrue_8689, density 0.0454
guntrue_8783, density 0.0454
guntrue_5503, density 0.0454
guntrue_7283, density 0.0453
guntrue_8059, density 0.0453
guntrue_7507, density 0.0453
guntrue_2707, density 0.0453
guntrue_3491, density 0.0453
guntrue_8821, density 0.0453
guntrue_5351, density 0.0452
guntrue_7151, density 0.0452
guntrue_7333, density 0.0451
guntrue_9029, density 0.0451
guntrue_8999, density 0.0451
guntrue_3923, density 0.0451
guntrue_8467, density 0.0451
guntrue_7243, density 0.045
guntrue_9907, density 0.045
guntrue_9007, density 0.045
guntrue_9941, density 0.0449
guntrue_6829, density 0.0449
guntrue_8563, density 0.0449
guntrue_9103, density 0.0449
guntrue_8513, density 0.0448
guntrue_2731, density 0.0448
guntrue_4861, density 0.0448
guntrue_7039, density 0.0448
guntrue_4903, density 0.0448
guntrue_5861, density 0.0448
guntrue_8761, density 0.0447
guntrue_2143, density 0.0447
guntrue_8933, density 0.0446
guntrue_9781, density 0.0446
guntrue_7879, density 0.0446
guntrue_6373, density 0.0446
guntrue_8941, density 0.0446
guntrue_5623, density 0.0446
guntrue_7793, density 0.0446
guntrue_7873, density 0.0446
guntrue_3889, density 0.0445
guntrue_6761, density 0.0445
guntrue_9677, density 0.0445
guntrue_6599, density 0.0445
guntrue_5011, density 0.0444
guntrue_6827, density 0.0444
guntrue_8243, density 0.0444
guntrue_3191, density 0.0444
guntrue_7159, density 0.0444
guntrue_5023, density 0.0444
guntrue_4937, density 0.0444
guntrue_5417, density 0.0443
guntrue_4813, density 0.0443
guntrue_8521, density 0.0443
guntrue_2113, density 0.0442
guntrue_8387, density 0.0442
guntrue_8681, density 0.0442
guntrue_4091, density 0.0442
guntrue_4931, density 0.0442
guntrue_8537, density 0.0442
guntrue_3769, density 0.0441
guntrue_6469, density 0.0441
guntrue_5279, density 0.044
guntrue_3929, density 0.044
guntrue_7349, density 0.0439
guntrue_5297, density 0.0439
guntrue_2677, density 0.0439
guntrue_3041, density 0.0439
guntrue_5531, density 0.0439
guntrue_8443, density 0.0439
guntrue_4967, density 0.0438
guntrue_5569, density 0.0438
guntrue_5519, density 0.0438
guntrue_2129, density 0.0437
guntrue_7639, density 0.0437
guntrue_8807, density 0.0437
guntrue_6607, density 0.0437
guntrue_8597, density 0.0437
guntrue_4327, density 0.0437
guntrue_9209, density 0.0436
guntrue_4877, density 0.0436
guntrue_6863, density 0.0436
guntrue_2137, density 0.0435
guntrue_2557, density 0.0435
guntrue_6947, density 0.0435
guntrue_8609, density 0.0434
guntrue_7573, density 0.0434
guntrue_7547, density 0.0434
guntrue_3167, density 0.0434
guntrue_4993, density 0.0434
guntrue_4889, density 0.0433
guntrue_9157, density 0.0433
guntrue_4271, density 0.0433
guntrue_7759, density 0.0433
guntrue_8707, density 0.0432
guntrue_4211, density 0.0432
guntrue_8539, density 0.0432
guntrue_8779, density 0.0432
guntrue_7517, density 0.0432
guntrue_5639, density 0.0432
guntrue_6983, density 0.0432
guntrue_6637, density 0.0432
guntrue_9973, density 0.0431
guntrue_8713, density 0.043
guntrue_6701, density 0.0429
guntrue_8837, density 0.0429
guntrue_7207, density 0.0429
guntrue_7589, density 0.0429
guntrue_5167, density 0.0428
guntrue_2141, density 0.0428
guntrue_7103, density 0.0428
guntrue_7187, density 0.0428
guntrue_5039, density 0.0428
guntrue_5521, density 0.0428
guntrue_6007, density 0.0427
guntrue_9127, density 0.0426
guntrue_6781, density 0.0426
guntrue_7477, density 0.0426
guntrue_2797, density 0.0426
guntrue_4789, density 0.0425
guntrue_8731, density 0.0425
guntrue_5273, density 0.0424
guntrue_7307, density 0.0424
guntrue_8747, density 0.0424
guntrue_3917, density 0.0424
guntrue_3329, density 0.0424
guntrue_2917, density 0.0423
guntrue_9277, density 0.0423
guntrue_7559, density 0.0423
guntrue_6709, density 0.0422
guntrue_6389, density 0.0422
guntrue_2383, density 0.0422
guntrue_6719, density 0.0422
guntrue_7583, density 0.0421
guntrue_7499, density 0.0421
guntrue_6733, density 0.042
guntrue_8867, density 0.042
guntrue_7577, density 0.042
guntrue_3947, density 0.0419
guntrue_8599, density 0.0419
guntrue_4003, density 0.0419
guntrue_9173, density 0.0419
guntrue_7703, density 0.0418
guntrue_8719, density 0.0417
guntrue_5647, density 0.0416
guntrue_5641, density 0.0416
guntrue_5711, density 0.0416
guntrue_6397, density 0.0415
guntrue_7823, density 0.0415
guntrue_5879, density 0.0415
guntrue_6971, density 0.0414
guntrue_7907, density 0.0414
guntrue_3851, density 0.0414
guntrue_4001, density 0.0413
guntrue_7673, density 0.0413
guntrue_3361, density 0.0412
guntrue_9181, density 0.0412
guntrue_3037, density 0.0411
guntrue_7079, density 0.041
guntrue_7177, density 0.041
guntrue_6653, density 0.041
guntrue_5153, density 0.041
guntrue_4523, density 0.041
guntrue_5399, density 0.0409
guntrue_9151, density 0.0409
guntrue_8627, density 0.0409
guntrue_7127, density 0.0408
guntrue_8969, density 0.0408
guntrue_9041, density 0.0408
guntrue_7211, density 0.0408
guntrue_5387, density 0.0407
guntrue_5113, density 0.0406
guntrue_5209, density 0.0406
guntrue_4733, density 0.0406
guntrue_5987, density 0.0405
guntrue_7247, density 0.0405
guntrue_7331, density 0.0404
guntrue_8147, density 0.0404
guntrue_8527, density 0.0404
guntrue_5689, density 0.0404
guntrue_5857, density 0.0404
guntrue_8839, density 0.0403
guntrue_5737, density 0.0403
guntrue_7753, density 0.0403
guntrue_9137, density 0.0402
guntrue_7451, density 0.0401
guntrue_7487, density 0.0401
guntrue_5407, density 0.0401
guntrue_9049, density 0.04
guntrue_5801, density 0.04
guntrue_3613, density 0.04
guntrue_5849, density 0.0399
guntrue_7219, density 0.0399
guntrue_9011, density 0.0399
guntrue_8699, density 0.0398
guntrue_8303, density 0.0398
guntrue_4283, density 0.0398
guntrue_4049, density 0.0398
guntrue_5281, density 0.0398
guntrue_8831, density 0.0397
guntrue_8929, density 0.0397
guntrue_3541, density 0.0397
guntrue_7841, density 0.0397
guntrue_4057, density 0.0396
guntrue_7681, density 0.0395
guntrue_8263, density 0.0395
guntrue_7919, density 0.0394
guntrue_7937, density 0.0394
guntrue_9241, density 0.0393
guntrue_8423, density 0.0393
guntrue_5441, density 0.0393
guntrue_7459, density 0.0393
guntrue_6427, density 0.0393
guntrue_8951, density 0.0391
guntrue_8039, density 0.0391
guntrue_5393, density 0.0391
guntrue_6359, density 0.039
guntrue_3457, density 0.039
guntrue_3581, density 0.039
guntrue_8623, density 0.0388
guntrue_8171, density 0.0387
guntrue_7699, density 0.0387
guntrue_5087, density 0.0386
guntrue_6011, density 0.0386
guntrue_8753, density 0.0386
guntrue_9203, density 0.0385
guntrue_3853, density 0.0385
guntrue_4547, density 0.0384
guntrue_8167, density 0.0382
guntrue_7541, density 0.0381
guntrue_3313, density 0.0381
guntrue_8377, density 0.0379
guntrue_4073, density 0.0379
guntrue_9091, density 0.0379
guntrue_4153, density 0.0379
guntrue_8017, density 0.0378
guntrue_8179, density 0.0378
guntrue_8863, density 0.0377
guntrue_5449, density 0.0377
guntrue_8209, density 0.0376
guntrue_8369, density 0.0376
guntrue_4201, density 0.0373
guntrue_2503, density 0.0373
guntrue_8287, density 0.0372
guntrue_9199, density 0.0372
guntrue_4129, density 0.0372
guntrue_7603, density 0.0372
guntrue_9227, density 0.0371
guntrue_8297, density 0.0371
guntrue_2699, density 0.037
guntrue_5527, density 0.037
guntrue_7723, density 0.0368
guntrue_4217, density 0.0367
guntrue_9281, density 0.0364
guntrue_3701, density 0.0364
guntrue_4177, density 0.0361
guntrue_4297, density 0.0356
guntrue_5657, density 0.0355
guntrue_4337, density 0.035
guntrue_4241, density 0.0349
guntrue_8647, density 0.0349
guntrue_4273, density 0.0348
guntrue_4289, density 0.0344
guntrue_8641, density 0.034
guntrue_5051, density 0.0335
guntrue_8737, density 0.0325
guntrue_8087, density 0.0324
guntrue_9257, density 0.0314
guntrue_9161, density 0.0313
guntrue_9001, density 0.0309
guntrue_2438, density 0.0231
guntrue_3634, density 0.0214

[Sokwe]

The next interesting code snippet that AI could write for someone in a few minutes, would be a Golly script that takes this list and auto-dedensifies each gun by removing all the cells that it can perfectly well get along without. Anyone want to try it?

I've already written such a script at least for dedensifying a single gun, although it uses LifeLib rather than Golly. It shouldn't be hard to write a shell script to batch-run the list. I recommend running it with the following options:

Code: Select all

./stator_optimizer.py <filename> 10000 -d rotor 12 any -d stator 6 any -o area min_pop boundary_pop

where <filename> is the name of the .rle or .mc file containing the gun (in Life or LifeHistory format). This might very occasionally produce an unstable result, in which case the '10' should be increased to '11' or '12'. If the output is a stable gun, then it will have the minimum possible stator population for that bounding box. On the overdensified guntrue_3253 it completes in under 3 minutes on my craptop, so it should be possible to batch-run the entire list in a not too unreasonable length of time.

Overdensified guntrue_3253:

Code: Select all

x = 125, y = 106, rule = LifeHistory
8.2A.A6.2A4.2A9.2A2.A4.A7.A3.2A.A4.A12.2A25.2A.A8.2A$8.A.2A6.A3.A2.A8.
A.4A3.A.A5.A.A2.A.2A3.A.A3.2A7.A11.A13.A.2A7.A.A$2.A16.A2.2A10.A9.A.A
3.A2.A10.A.A.A2.A4.A10.A2.3A6.2A11.A.A7.2A$.A.A3.A10.2A12.2A.7A4.A4.2A
12.A3.A2.A3.2A9.3A3.A2.2A2.A11.2A5.2A2.A$A.A3.A.A.2A18.A2.A.A3.B2.A3.
2A10.2A10.2A18.A.A3.A.2A4.2A13.A.2A$.A5.A3.A9.A8.2A2.BA.2A2.2A14.A.A16.
2A6.2A3.2A.2A10.A.A$2.3A6.A.2A5.A.A11.2AB2AB17.A2.2A5.A5.2A2.A5.A2.A19.
A8.A$4.A7.A.A6.2A3.A7.5B10.2A.A3.2A3.A4.A.A4.A.2A7.A2.A18.2A6.A.A2.2A
$7.2A8.2A6.A.A7.3B11.A.2A7.A4.A.A17.2A7.A5.2A11.A2.A2.A$6.A2.A7.2A7.A
7.5B21.2A2.A.A26.A.A3.A2.A11.2A4.A$7.A.A11.A12.BA4B25.A28.A3.A2.A19.A
$3.2A3.A11.A.A4.A4.2BABA3B6.2A5.A27.A9.3A5.2A13.2A4.2A$2.A.A14.A2.A3.
A.A3.2BABA4B5.A5.A.A18.A6.A.A8.A15.2A6.A$2.A11.2A4.2A4.2A5.2BA4B3.BA.
A6.A.A6.2A8.A.A6.2A20.2A2.A6.A$3.A2.2A5.A.A16.10B.B2A4.A3.A.A4.A.A4.2A
3.A.A11.2A15.A3.A6.3A$2.2A3.A4.A.A16.13B5.A.A3.A5.2A5.A5.A.A8.A2.A3.2A
7.3A3.2A8.A2.2A$6.A5.2A7.2A7.14B6.A.A3.3A10.3A3.A9.2A5.2A7.A10.2A6.A$
5.A15.A.A5.15B8.A5.A12.A26.A3.2A8.A.A6.A$4.A17.A.A3.4B2.8B10.2A23.2A18.
A.A3.A9.A8.A$4.2A6.2A4.2A3.A3.4B5.6B5.2A14.2A13.A13.2A3.A.A2.A18.2A$12.
A5.A.A5.4B4.9B5.A13.A2.A9.3A14.A.A3.A3.2A13.2A$7.2A5.A4.2A4.4B5.2A4.4B
4.A.A6.2A3.A.A3.A6.A5.2A10.2A15.2A5.A$7.A5.2A9.4B7.A5.4B4.A.A6.A4.A3.
A.A9.A2.A5.A10.A10.A.A5.A$4.2A.A.3B11.4B5.3A7.4B4.A5.A11.A.A8.2A5.3A9.
A.A10.2A6.A$4.A2.A.2A2B2A7.4B6.A10.4B9.2A2.2A7.A.A13.A13.A5.2A11.2A$6.
2A.A.2B2AB5.4B19.4B13.A8.A.A11.A.A18.A17.2A$9.A.4B5.4B3.A7.2A8.4B7.2A
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.A$12.3BA6B5.2A7.A.A4.A3.4B6.A5.A12.A4.A.A4.2A5.2A3.A19.A.A$2A.2A7.2B
ABA4B16.2A3.A.A3.4B4.2A17.A.A3.2A4.B2AB3.A.A2.A.A9.2A$2A.A8.3BA4B3.A8.
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4B7.3A2.A.A2.A2.2A.2A9.B.B2.2A6.3A2.2A3.A3.A.A4.2A$3.3AB.2B2A7B7.A7.A
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7B7.A3.A.A.2A4.8B28.A4.A$2A.A.2B3.7B.B2A11.BABABA.A14.BA4B8.A2.BA.A2.
13B6.2A9.2A14.2A$.A2.3AB2.7B.BA.A11.B2ABA.A15.5B7.A.2BA.A5.13B3.A2.A7.
A.A$.A5.A4.4B5.A12.2B.BA5.2A4.2A2.7B6.2A.2BA5.15B3.A.A7.A11.A.2A$2.5A
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5.2A3.7B10.2B.B.17B7.2A3.2A4.2A7.2A$14.4B7.A6.B2A3B7.3A7.6B4.29B6.A2.
A7.A2.A$7.A7.4B6.A.AB3.B2A3B9.A7.7B2.16B2A13B6.A.A8.A.A3.2A$2.2A2.A.A
7.4B6.2AB.10B15.7B2.16B2A14B6.A10.A4.A$A2.A2.A.A8.4B7.13B13.9B.27B3.B
2A8.2A12.A$2A5.A10.4B6.14B12.36B4.A2.A7.A.A8.3A$19.4B5.15B6.B4.BA5B2A
11B2.2B2.B3.6B5.2A.A7.A.A7.A$12.2A6.4B6.8B2.4B4.2AB.2B2A4B3A8B14.6B7.
A8.A$2.2A8.A.A6.4B5.6B5.4B3.2A3B2A3BA10B14.9B6.2A10.2A7.2A$2.A10.2A7.
4B3.9B4.4B3.B.B3A3BA9B15.2A4.4B11.2A3.A.A7.A$3.A5.2A4.2A6.4B.4B4.2A5.
4B5.B2A2BA11B8.2A5.A5.4B9.A2.A2.A10.A$3A7.A4.A8.7B5.A3.A3.4B4.B2A14B8.
A3.3A7.4B8.A.A2.2A8.A.A2.2A$A8.A3.A.A9.5B7.4A4.4B3.2B2A11B.B2A3.2A.A3.
A10.4B8.A13.2A4.A$8.A3.A.A10.5B16.4B2.12B4.BA.A2.A.A16.4B26.A$7.A5.A3.
2A5.7B4.4A8.15B9.A22.4B15.A8.A$7.2A8.A5.4B.4B3.A2.3A7.15B8.2A6.2A14.4B
14.3A6.2A$5.2A8.A.A4.4B3.4B8.A7.6B3A5B11.2A3.A.A7.2A5.4B16.A$2.2A2.A8.
2A4.4B5.4B6.A.A7.4BA2BA4B13.A5.A3.2A2.A7.4B14.A.A$2.A.2A14.4B7.4B5.A.
AB7.3BABABA2B6.2A6.A.A3.2A3.A3.3A5.4B6.2A6.A3.2A$19.4B9.4B5.A3B7.3BA3B
AB6.2A7.A.A6.A6.A6.4B5.A2.2A7.A$7.2A9.4B11.4B6.4B5.7BAB16.A8.3A11.4B5.
2A.A8.A$7.A2.2A5.4B5.A7.4B5.6B5.6B12.2A6.A7.A12.4B11.2A4.A$8.2A.A4.4B
5.A.A7.4B4.7B.2B2.5B5.2A.A2.A2.A4.A.A11.A8.4B9.A2.A2.2A$3.2A10.4B6.A.
A8.4B2.8B.9B5.A.2A3.A.A3.A.A3.2A6.A.A3.A4.4B8.A2.A$4.A9.4B8.A10.24B12.
A4.A4.A2.A4.A2.A2.A.A4.4B8.2A$2.A10.4B14.2A.A3.17BA6B8.A6.2A4.A2.A5.2A
4.A.A4.4B$2.5A5.4B5.2A7.A2.2A3.17BAB2.4B6.A.A12.2A13.A6.4B10.2A$7.A4.
4B5.A8.2A6.18B4.4B6.A.A34.4B9.A$4.3AB2.7B.BA.A2.2A12.16B7.4B6.2A5.A29.
4B10.A$3.A.2B3.7B.B2A3.A.A9.2AB.13B9.4B11.A.A6.2A5.2A7.2A5.4B5.5A$3.4A
12B6.2A8.A.AB2.11B11.4B10.A2.A4.A.A4.A2.A7.A5.4B4.A$.2A2.BA3B2A7B16.A
5.10B3.2A8.4B10.A.A3.A8.2A8.A.AB.7B2.B3A$A2.3AB.2B2A7B15.2A5.2B2A6B3.
A10.4B5.A4.A3.A5.2A7.2A4.2AB.7B3.2B.A$2A.A.B3.10B8.A.A10.3B2A6B4.A10.
4B3.A.A7.2A3.A.A7.A.A5.12B4A$3.A8.8B6.A.2A11.10B3.2A6.2A3.4B3.A.A7.A3.
A10.A.A4.7B2A3BAB2.2A$3.2A7.9B5.A14.8B.B2A8.A2.A3.4B4.A6.A5.A5.2A3.A5.
7B2A2B.B3A2.A$13.3B2.4B3.2A6.2A5.7B3.B2AB2A5.A2.A4.4B3.2A5.A.A2.2A5.A
.A8.10B3.B.A.2A$11.5B3.4B10.A6.6B6.B.A7.2A6.4B10.2A12.A6.8B8.A$11.2A7.
4B10.3A4.6B4.2A3.A14.4B16.2A6.A4.9B7.2A$4.A7.A8.4B11.A4.8B.A2.4A10.2A
3.4B4.2A10.A5.2A3.4B2.3B$3.A.A3.3A10.4B14.9BA.A.A9.2A2.A5.4B3.2A3.A4.
A11.4B3.5B$2.A.A4.A13.4B4.A8.7B.2BAB.A.2A7.A3.A5.4B6.A.A3.2A9.4B7.2A$
.A.A20.4B3.3A6.6B3.2B2.A.A7.A5.A5.4B4.A2.A13.4B8.A7.2A$.2A7.A6.2A6.4B
5.A4.7B4.B.2A2.A5.A5.2A6.4B3.A.A13.4B3.2A5.3A4.A$9.A.A5.A.A.A4.2B2A3.
2A4.7B3.A.A2.A.A4.A6.A8.4B3.A6.A6.4B4.A8.A6.A$.2A5.A.A9.2A5.BABA2.4B.
8B3.2A2.A.A5.2A3.A.A9.4B7.3A5.4B3.A.A3.2A9.2A$.2A5.2A18.A3B3.11B8.A10.
A.A11.4B5.A7.4B4.2A3.A2.A$6.2A21.4B.12B18.A.A4.2A7.4B4.2A5.4B11.A2.A$
7.A11.A4.A5.16B18.A6.A9.9B4.4B4.A8.2A$5.A12.A.A2.A.A5.14B10.A7.2A7.3A
7.6B5.4B4.A.A15.A$5.2A4.2A.A4.A.A2.A.A5.10B11.3A18.A7.8B2.4B4.A.A3.A11.
A.A$2A8.A2.2A5.A4.2A4.12B9.A7.A8.2A9.15B5.2A3.A.A11.A$A.A7.2A18.16B6.
2A5.A.A7.A.A8.14B10.A.A4.2A7.3A$2.A13.2A5.A6.24B4.A.A9.A.A7.13B7.2A3.
A5.A.A2.2A4.A$.A14.2A5.3A3.23B5.A.A11.2A5.2AB.10B8.A7.A3.2A2.A$.2A4.2A
17.A2.24B5.A18.A.AB3.B2A3B7.2A.A6.A.A7.A$8.A16.A.B.24B18.2A4.A6.B2A3B
7.A.A8.A.A7.A$7.A9.A7.2A27B13.A3.A.A2.2A6.4B14.A7.A6.2A4.A$6.A4.2A3.A
.A4.2A2.A22B.4B5.A.2A2.A.A3.2A6.2A3.3B13.A.A6.2A10.A.A$5.A6.A4.2A3.A2.
3A3B3.2B3.B7.2B3.4B4.2A.A3.A.A11.A4.2B.BA11.A8.A11.A$5.2A4.A11.A4.2B3.
4B.3B5.BA2B3.4B11.A11.A4.B2ABA.A18.A$10.A13.4A5.B2AB.B2AB4.A.A5.4B21.
A4.BABABA.A18.2A$10.2A3.2A3.2A4.A7.2A3.2A6.A7.4B11.2A6.A3.A2.A.A.A.A.
2A6.2A3.A7.2A4.2A.A$14.A.A3.A.A5.A27.4B8.A2.3A4.2A2.4A.2A2.A2.A7.A3.3A
4.A2.A2.A2.2A$4.2A7.A.A5.A.A3.2A13.2A6.2A.A3.3BA7.2A4.A11.A4.2A8.A7.A
2.A2.A3.2A$.A.A.A7.2A7.A.A16.A2.A4.A2.2A4.3BA11.A.A8.A.A15.3A3.A.A2.2A
$.2A20.2A17.2A5.2A8.3AB11.A9.2A18.A4.A!

stator_optimizer.py output:

Code: Select all

x = 125, y = 106, rule = B3/S23
35b2ob2o$34bob2obo$34bo$30bob2ob7o$30b2obobo6bo$35bob2o2b2o$34b2ob
2o4$35bo$34bobo9b2o$34bobo9bo$35bo8bobo$44b2o5$13b2o$13bo$7b2o5bo
19b2o$7bo5b2o20bo$4b2obo24b3o$4bo2bob2o2b2o17bo$6b2obo3b2o$9bo$9b
2o$15bo60bo11b2o$3b2o9bobo58bobo10b2o$3bo11bo16b2o29bo3bo3b2o2bobo
$2obo28bobo5b2o19b3o2bobo2bo2b2ob2o$o2b3o4b2o22bo4bobo18bo5bobo3bo
bo$b2o3bo3b2o18b4ob2o2bo14b2o4b2o5bob4o2bob2o$3b4o23bo2bobobob2o
12b2o14bo3bobob2o$3bo15b2o12bobobobo15bo12bo3bobo$4b3o12bobo12b2ob
obo27bo3bobo$7bo13bo16bo28b2o3bo$2b5o14b2o$bo2bo19b2o$b2o22bo7b2o$
25bobo5b2o45b2o$26b2o52b2o$95b2o$94bo2bo$55bo5b2o32b2obo$48b2o4b2o
4b3o35bo$48b2o3b2o3bo39b2o$52b3o3bo24b2o$36b2o15b2o2bo26bo$36bo3bo
12b2o26b3o$37b4o13b2o13b2o10bo$69bobo$37b2o32bo$37bo2bo30b2o$38b2o
bo13b3o$40bobo11bo2bo$40bobo11bobobo$41bo13bo3bo$59bo4$b2o$bo2bo
50bo$2b5o14b2o32bo$7bo13bo100b2o$4b3o12bobo98bo2bo$3bo15b2o15b2o
64b2o14b5o$3b4o28bobo65bo13bo$b2o3bo3b2o23bo67bobo12b3o$o2b3o4b2o
22b2o7b2o59b2o15bo$2obo39b2o73b4o$3bo50b2ob2o54b2o3bo3b2o$3b2o46b
2o2bobo55b2o4b3o2bo$51b2obo2bo63bob2o$54bobo64bo$11b2o38b2o2bo64b
2o$12bo37bo2b2o$9b3o37bobobo$9bo21bo18bo2bo58b2o$31b3o19bob2o55bo$
34bo17b2o2bo56b3o$28b2o3b2o14bobo2bo36bo23bo$28bobo18b2o2bo35b3o$
28bo25b3o31bo$56bo31b2o2$55bo$53b3o$52bo$52b2o$23bo$23b3o52b2o$26b
o50bobo5b2o$25bo51bo7b2o$25b2o49b2o$23b2o2bo$22bo2b3o62bo$23bo23bo
38b2obobo$24b4o6b2o3b2o5bobo36bobobobo$26bo7b2o3b2o6bo34bo2bobobob
2o$28bo53b4ob2o2bo$27b2o31bo25bo4bobo$61bo22bobo5b2o$59b3o22b2o!

[dvgrn]

I've already written such a script at least for dedensifying a single gun, although it uses LifeLib rather than Golly. It shouldn't be hard to write a shell script to batch-run the list.

Sounds good! For the record, I've looked at all of the remaining guns with period above 999 and density over 0.1 -- i.e., the ones that were smaller than 100 cells in at least one dimension, so I had filtered them out of the previous list. None of them were over-densified. So I think that unless I somehow missed something, the above list might be complete.

It might be interesting to run the script against the entire gun collection at some point, just to see if it picks up any more optimizations, but it probably won't find very much once this list is processed.

[WhiteHawk]

I've already written such a script at least for dedensifying a single gun, although it uses LifeLib rather than Golly. It shouldn't be hard to write a shell script to batch-run the list.

Sounds good! For the record, I've looked at all of the remaining guns with period above 999 and density over 0.1 -- i.e., the ones that were smaller than 100 cells in at least one dimension, so I had filtered them out of the previous list. None of them were over-densified. So I think that unless I somehow missed something, the above list might be complete.

It might be interesting to run the script against the entire gun collection at some point, just to see if it picks up any more optimizations, but it probably won't find very much once this list is processed.

I think it would be better to use the standard 31.4 when it can reduce the bounding diamond solely for that reason. Otherwise, might it be possible to randomize which version of 31.4 is used as a showcase of their interchangeability?

Also note syringe can be reduced with snake or aircraft carrier in certain cases as well. And if randomization of the 31.4 catalyst is on the table, randomizing snake-aircraft carrier ends to both syringes and Tremi-snarks may also be an option.