apgsearch: a high-performance soup searcher

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lukebradford
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Re: apgsearch: a high-performance soup searcher

Post by lukebradford » October 3rd, 2014, 7:54 am

Just wanted to share this awesome double pulsar reaction that appeared in my highest-scoring soup so far:

Code: Select all

x = 15, y = 3, rule = B3/S23
2o5bo$2o5b2o4b2o$6bo2bo3b2o!

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 3rd, 2014, 9:43 am

lukebradford wrote:Just wanted to share this awesome double pulsar reaction that appeared in my highest-scoring soup so far...
The same thing happened to me a couple of weeks ago. Looks like multiple pulsars are one of the most common ways to get a high score under the current scoring rules.

-- I wonder if it's worth thinking about adjusting those rules a bit? In the official eventual non-beta version of apgsearch, it might make sense to either reduce the score for pulsars, or increase the score for clocks as mentioned above, or both, since clocks are so much less common.

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 5th, 2014, 2:05 pm

EDIT: Here's a link to version 0.45 of apgsearch, fixing a very minor bug. It writes first-occurrence and rare-object soups to new sections of the progress text files, instead of just to the temporary census HTML.

A few other minor changes are noted in the comments:

Code: Select all

# Changes DMG 8 Oct 2014:
#   * make temporary links for all instances of rare objects,
#     not just first occurrences
#   * save rare-object soupids to the progress folder:
#     new sections in search*.txt, @SAMPLE_SOUPIDS and @RARE_OBJ_SOUPIDS
#   * objects from Achim Flammenkamp's top-100 are added to common-objects list
#   * a few objects not found in Achim's top 100 have names in [square brackets]
#   * added loafer -- "xq7_3nw17862z6952": ("loafer", 60)
#   * clock score increased to 16, slightly higher than a pentadecathlon
#   * WORKAROUND: added alloccur dictionary presence test, because 
#     blocks and gliders have no entry in this list 
#   * v0.45: fixed a typo with the common-name definition of "bi-loaf2"
# TODO: extend the common-objects list further with top 1800 objects from
#       http://wwwhomes.uni-bielefeld.de/achim/ash-pattern.txt
Objects that are counted with special custom rule trickery only seem to show up on the first-occurrence list when they appear as part of a pseudo-object. I don't mind this, but it seems maybe worth mentioning. I don't understand exactly why gliders and blinkers are never assigned a first occurrence, so I'm leaving that for someone else to fix.

I was going to write that I also didn't understand why the first soup reported for some objects isn't actually the numerically earliest soup, but just realized that this effect would probably go away if soups were run one at a time instead of in groups of 100.

Also, if anyone has an apgsearch progress folder with a lot of results from B3/S23 searches, any good results from a quick run of this post-search survey script might come in handy to help locate syntheses of 18-bit still lifes. Or of course the script could be adapted to look for any object(s) that you might be interested in -- just change the object list at the beginning, or read the objects from a separate file or whatever.

At least according to my theories, progress filed saved by v0.44 should allow all soup IDs for rare 18-bit still lifes to be recovered immediately, without having to re-run the search.

Another thought in passing: it might be worth putting together a script that builds a stamp collection of objects found in the apgsearch/objects/B3S23 folder. A graph of the relative frequencies of still lifes sorted by number of bits might be interesting too.

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Re: apgsearch: a high-performance soup searcher

Post by codeholic » October 7th, 2014, 4:40 pm

I've compiled a list of eater2 variants. Here it is in the form of apgsearch.py code fragment:

Code: Select all

                   "xs18_c9b88gozw39c": ("eater2", 40),
                   "xs18_c9b88gozwbd": ("eater2", 40),
                   "xs18_g0ggm96z110qm": ("eater2", 40),
                   "xs18_g0ggm96z11oi6": ("eater2", 40),
                   "xs19_2552s0c453zy023": ("eater2", 40),
                   "xs19_3pm0mmzw343": ("eater2", 40),
                   "xs19_4aab88gozx39c": ("eater2", 40),
                   "xs19_4aab88gozxbd": ("eater2", 40),
                   "xs19_4aar0rbzx121": ("eater2", 40),
                   "xs19_8e1e8z33039c": ("eater2", 40),
                   "xs19_br0raa4z23": ("eater2", 40),
                   "xs19_c9b88gozc871": ("eater2", 40),
                   "xs19_ggmkiarz146": ("eater2", 40),
                   "xs19_wmkiarz696": ("eater2", 40),
                   "xs20_08e1e8z253039c": ("eater2", 40),
                   "xs20_0ggmkiarz1226": ("eater2", 40),
                   "xs20_2lm0mk46zw343": ("eater2", 40),
                   "xs20_2lm0mkk8zw343": ("eater2", 40),
                   "xs20_2lm0mp3zw343": ("eater2", 40),
                   "xs20_69ar0rbzx121": ("eater2", 40),
                   "xs20_8e1u0o8a6zx56": ("eater2", 40),
                   "xs20_ad1e8z33039c": ("eater2", 40),
                   "xs20_br0ra96z23": ("eater2", 40),
                   "xs21_08e1dazc930352": ("eater2", 40),
                   "xs21_br0ra96z1221": ("eater2", 40),
                   "xs21_2lm0mk46z02543": ("eater2", 40),
                   "xs21_2lm0mkiczw343": ("eater2", 40),
                   "xs22_3iakg8ozc96066": ("eater2", 40),
                   "xs22_2lm0mkicz02543": ("eater2", 40),
                   "xs23_3iakg8ozc9606a4": ("eater2", 40),
                   "xs24_0gg0bdz8l5ob96zw1": ("eater2", 40),
                   "xs24_0gg39cz8l5ob96zw1": ("eater2", 40),
                   "xs26_wo44mharzad1cb": ("eater2", 40),
                   "xs29_3pa38r3og4cz64311": ("eater2", 40),
                   "xs29_3pa38r3og8oz64311": ("eater2", 40),
And here is the rle:

Code: Select all

x = 91, y = 131, rule = B3/S23
b2o18b2o22bo19bo15b2o5b2o$2bo19bo21bobo17bobo13bo2bo5bo$o19bo23bobo17b
obo14b2obob3o$5obo13b5obo18bo19bo18bobo$5b2o18b2o13bob3o15bob3o19bo$2b
2o18b2o16b2o18b2o23bo$2bo19bo20b2o18b2o19b2o$4bo18bo20bo19bo$3b2o17b2o
19bo18bo$43b2o17b2o11$2o21bo19bo19bob2o15bo$obob2o15b3o17b3o17b3ob2o
14bobo$2bob2o14bo19bo19bo20bobo$bo19b5obo13b5obo13b3ob2o13b2ob2o$b2ob
2o20b2o18b2o15bobo$2bobo18b2o18b2o18bobo14b2ob2o$2bobo18bo19bo20bo15b
2obo$3bo21bo18bo40bo$24b2o17b2o39b2o12$2obo17b2o23bo19bo16bo$2ob3o16bo
19bob3o15bob3o15bobo$6bo13bo21b2o18b2o18bobo$2ob3o14b5obo18b2o18b2o14b
2ob2o$bobo21b2o13b5obo15b3obo$bo20b2o16bo20bo19b2ob2o$2o20bo19bo17bobo
17bobobo$20bobo18b2o17bobo18bo4bo$20b2o39bo23b2o12$7bo13bo19bo19bo3b2o
14bobob2o$3bob3o12bobobo2bo12bobobo15bobobobo13bob2ob2o$3b2o16b2ob4o
13b2ob3o14b2obo15bo$6b2o39bo17bo15b3ob2o$b5obo13b2ob2o15b2ob3o14b2ob2o
17bobo$o21bobo17bobo17bobo18bobo$b3o18bobo17bobo17bobo19bo$3bo19bo19bo
19bo13$2bo18b2o17b2obobo17b2o15b2obobo$bobo3b2o11bo2bo16b2ob2obo15bo2b
o14b2ob2obo$bobo4bo12bobo22bo15bobo21bo$2obob3o12b2ob2o15b2ob3o15b2ob
2o14b2ob3o$3bobo35bobo37bobo$3bo16b2ob2o16bo19b2ob2o14bo2bo$4bo15b2obo
16b2o20bobobo14b2o$3b2o20bo34bo4bo$24b2o34b2o12$bo19bo18bo20bo18bo$obo
bo2bo12bobobobo13b3o17bobobobo13b3o$b2ob4o13b2ob2obo15bo17b2ob2obo15bo
$27bo14bo2b2o20bo14bo2b2o$b2ob2o15b2ob3o14bob2obo14b2ob3o14bob2obo$2bo
bo17bobo16bo20bobo16bo$bo2bo17bobo17bob2o15bo2bo17bob2o$2b2o19bo16bobo
b2o16b2o16bobobobo$40b2o38b2o3bo12$4b2o17b2o21bobo11b2obob2o13b2obob2o
$4bo18bo21bob2o11bob2ob2o13bob2ob2o$5bo19bo17b3o23b2o$4b2o18b2o16bo4b
2o12b2ob2obo2bo10b2ob2obob2o$b2o18b2o19bo2b2obo12bo3bob2o12bo3bob2obo$
b2ob2o15b2ob2o15b2obo17b3o17b3o$4bobo17bobo13bo3bo15bobo17bobo$b2o3bo
14b2o3bo14bobo16b2o18b2o$o2b3o14bo2b3o14b2ob2o$bobo17bobo$2bo19bo!
I've just realized, that the following variants are probably treated as separate still-lifes by apgsearch. It's a pity.

Code: Select all

x = 91, y = 28, rule = B3/S23
2bo20bo17b2o20b2o15b2obob2o$bobo18bobo15bo2bo18bo2bo14bob2ob2o$bobo18b
obo16bobo18bobo24b2o$2ob2o16b2ob2o14b2ob2o16b2ob2o15b2ob2obo2bo$81bo3b
ob2o$2ob2o16b2ob2o14b2ob2o16b2ob2o16b3o$2obo16bobobo15b2obo18bobobo13b
obo$5bo15bo4bo18bo14bo4bo14b2o$4b2o19b2o17b2o14b2o12$2obob2o$ob2ob2o2$
b2ob2obob2o$bo3bob2obo$2b3o$obo$2o!
Ivan Fomichev

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dvgrn
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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 8th, 2014, 11:43 am

codeholic wrote:I've compiled a list of eater2 variants...
Very nice! Half of those didn't look like eater2 variants at all on first glance, but of course a lot of them can catch a glider and turn it into a boat-bit, and then boats can be converted to blocks with one glider.
codeholic wrote:I've just realized, that the following variants are probably treated as separate still-lifes by apgsearch. It's a pity.
There seem to be quite a few more variants that might be worth adding to that last list -- various permutations of the two-sided eater2, many of which remove one of the two eater sites but are still fully functional from one side:

Code: Select all

x = 75, y = 16, rule = B3/S23
15bo29b2o$15bobo9b2o16b2o$15b2o10bo45b2o$6b2o20bo16b4o3b2o12b2o5bo$6bo
2bob2o16bob2o12bo3bobobo12bo2bobobo$8b2ob2o15b2ob2o15b2ob2o15b2ob2o2$
8b2ob2o15b2ob2o15b2ob2o15b2ob2o$8b2obo2bo13b2obobo14b2obobo14b2obo$13b
2o18bo19bo19bo$33b2o18b2o17b2o3$b2o20b2o18b2o16b2o$obo19bobo17bobo15bo
bo$2bo21bo19bo17bo!
It would probably work to add a list of specific objects to apgsearch -- if the pseudo_bangbang() function sees an eater2 variant that's on the list, it can send it back to be catalogued without breaking it into its component pieces. I haven't checked to see if this would actually work, but it seems as if it should.

-- But maybe the first question should be whether it's worth adding this kind of special-purpose hack to apgsearch. We're getting to where we might have enough data to be able to calculate how long it might take before a specific randomly chosen N-cell object shows up in apgsearch -- at least very roughly.

Your list starts with 18-cell objects, so maybe there's some hope there -- but there are 29-cell objects toward the bottom of the list (and in my above 2-sided-eater contribution). I suspect the run time is millions of years on planet-sized computers before anything like that is likely to show up... Can anyone come up with a more specific estimate?

I guess maybe I started this line of research (?) by wondering if there was an easy conversion of known 18-bitters into eater2 variants. But here's another question: what exactly could we do with cheap eater2 recipes if we had them?

There are a number of really useful Herschel conduits that include eater2s, and it's annoying to not be able to include them in self-constructing circuitry. I've done a lot of wishful thinking along these lines -- but there's a serious problem: any even moderately complex construction recipe for a large object like an eater2 will have a sizable construction envelope around it, which will place painful constraints on the order of construction.

Spartan universal constructors work because they're building only small well-separated objects. You don't have to worry about construction order constraints, because lots of recipes are available to build blocks or boats or beehives or even any orientation of eaters, without disturbing other already-constructed objects -- even very close to the construction site.

With one of these eater2 variants we might need to find not just one recipe but four or eight different ones, to build different orientations of eater2s near the edge of their construction envelopes. Until then, we don't have an easy "drop-in" solution for building eater2s.

We can already slow-construct eater2s if we really really want them -- basically, construct them first, then painfully work around them to construct the other nearby circuitry. Experience so far suggests that customized constructions of this sort can definitely be done, but they're very hard to write an automatic compiler for, and generally they're worth avoiding if at all possible. Measuring be the length of the final recipe, it's much cheaper to build an extra dozen or two dozen Spartan still lifes, to replace an eater2-containing Herschel conduit.

-- All that said, I'd still absolutely love to see an eater2 pop out of a random soup sometime.

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 8th, 2014, 4:18 pm

dvgrn wrote:Also, if anyone has an apgsearch progress folder with a lot of results from B3/S23 searches, any good results from a quick run of this post-search survey script might come in handy to help locate syntheses of 18-bit still lifes. Or of course the script could be adapted to look for any object(s) that you might be interested in -- just change the object list at the beginning, or read the objects from a separate file or whatever.
I recently posted on the 18-bit still life thread a script that makes a stamp collection of all the high-bit-count still lifes reported in the apgsearch/progress folder. It's impressive how much variety can be sieved out of the soup after a few days' worth of searches.

All those same objects are also saved separately as RLE files in the apgsearch/objects folder, of course. The main advantage of the script is the report that's written to the clipboard, which gives the seed string(s) for the source soup for each rare object.

This only works if you've been running apgsearch v0.44+. Otherwise the script just reports what information there is in the pre-v0.44 progress files; to find the actual soup you'd have to re-run the search with the reported root string for the specified number of soups, and stop whenever the object shows up again.

Here's part of the stamp collection for the computer I've been running the most searches on: 588 objects between 18 and 31 bits. I've also thrown in the 16- and 17-bit objects at the top -- it makes for a fairly nice progression. The script actually starts at 10 cells, but the full pattern overflows the conwaylife.com message limit:

Code: Select all

x = 491, y = 1309, rule = B3/S23
2b2o18b2o18bo19b2o17b2o18b2o18b2o18b2o18b2o18b2o18b2o18b2o18b2o18b2o
21b2o19b2o17b2o17b2o18b2o18bo17b2o18b2o18bo19bo23bo$bo2bo16bo2bo16bobo
17bo2bo16bobo17bobo17bobo17bobo17bobo17bobo17bo19bo2b2o15bo2bo16bo22bo
bo17bobo16bobo16bo2bo16bo2bo16bobo17bo2bo16bo18b3o17b3o20bobo$2bo2bo
16bo2bo16bobo17b2obo17bo18bo2bo16bo2bo17b3o17bo18bobo17b3obo15b2obo16b
2obo16b3o16b2obobo17bo18bo18bob2o16bobobo15bobo17bobobo15bob2o18bo19bo
16bo3bo$3b3o17b3o18bo20bo17b2o18b3o17b3o16bo3bo15b2ob2o17bo20b2o17bo
20bo19bo16bob2o15b2obobo14b2o2bo15b2o18b2ob2o15b2obobo14b2ob2o15b2obob
o14b2o2bo15b2obo16b4o$42bob2o16b3o20bo57bob2o16bob2o15bob2o16b2o18b2o
18b3o17b3o17bo19bo2b2o15bob2o16bo19bo19bo2b2o15bo19bo2bo16bob2o16bob2o
$b3o17b3o17bobo18bo20b2o16b3o17b3o16b3o17b3o18bobo18bo19bo19bo18bo18bo
bo17bobo19bo18bo18bobo17bobo17bobo17bobo19bo19bo18b2o$o2bo16bo2bo16bo
2bo16bobo20bo16bo2bo16bo2bo16bo19bo19bo2bo16bobo17bobo17bobo17bobo17b
2o18b2o18bobo17bo19b2o18b2o18b2o18b2o18bobo17bobo17bo2bo$b2o17b2o18bob
o17b2o19bobo17b2o17b2o59b2o17b2o18b2o18b2o18bobo57b2o19b3o96b2o18b2o
19bobo$41bo38bobo178bo81bo138bo$81bo11$5b2o18b2o17b2o18b2o18b2o18bo19b
2o18b2o16b2o18b2o19b2o18b2o19b2o20bo16b2o19b2o19b2o18b2o18bo16bo22bo
20bo16bo22bo15b2o$4bobo17bobo17bobo17bobo17b2o17bobo17bobo17bobo17bo
19bo18bo2bo16bo2bo17bo2bo17b3o15bobo18bo2bo17bo2bo16bobo17bobo15b3o19b
obo17b3o15bobo17b2obobo14bobo$bo3bo15bo3bo15bo3bo15bo3bo15bo19bo2bo16b
o2bo16bo2bo16bo19bo19bo2bo16bo2bo16bo2bobo16bo18bo21bobo16bo2bo17b2o
18bo2bo17bo17bo2bo16bo19bobo17bobobo15bobo$b4o16b4o16b4o16b4o16b5o15b
3o17b3o17b3o17b2o18b5o15b3o17b3o17b2ob2o17bob2o16b4o15bob2o16bob2o16b
2o18b2ob2o15b2obo17b3o17bob2o18bo17bo2bo18bo$85bo99bo56bo18bobob2o14bo
bo2bo14bobo17bobo17bobo17bobo17bobob2o14b2o18b3ob2o14b4o16b3o17b4o$b2o
18b2o18b2o18b2o18b2o18b3o17b3o17b3o17b4o16b2o18b3o17b3o16bobo17bobo17b
obo17bo2bo16bo2bo16bobo17bo2bo16bobo17bo2bo16bo19bo19bo19bo$o2bo16bobo
17bo2bo16bobo17bobo17bo2bo16bo2bo16bo2bo16bo4bo14bo2bo16bo2bo16bo2bo
16b2o18b2o18b2o18bobo17bobo17bo19bobo17b2o18bo2bo16b2o18bobo17b2o18bob
o$b2o17b2o19b2o17b2o19bo18bobo18b2o17b2o18b2o2b2o15b2o18b2o17b2o79bo
19bo19bo19bo39b2o38bobo37b2o$101bo238b2o100bo12$2b2o20bo17b2o17b2o18b
2o18b2o18b2o18b2o18b2o21b2o16bo19bo20b2o20bo15b2ob2o14b2o3b2o13b2ob2o
15b2ob2o15b2obo17bo19b2ob2o15b2o18bo19b2o18b2o$2bo20bobo15bo2bo16bobob
2o14bobob2o14bobo17bobo17bobob2o14bobo17bo3bo15bobo17bobo19bobo18bobo
15bob2o15bo2bobo14bobobo15bobo2b2o13bob3o14bobo17bobobo15bo2bo16bobo2b
2o13bo2bo16bo2bo$3b3o16bo2bo16b2obo17bob2o16bobobo15bo19b3o17bob2o16bo
17b4o16b2obo16bo2bo20bo18bobo15bo18bobobo15bobobo15bo2bob2o13bo4bo14bo
bob2o14bo2bo16b2obo16b2o3bo14bo2bo16bo2bo$5bo16bobo18bobo17bo19bo2bo
16bob2o15bo3bo16bo19bob2o37bo17bobo16b4o16bo3bo15b2o19b2obobo14b2obobo
14bobo17bobobo16bob2o17bob2o16bo18b3o16b3o17b3o$b4o16b2ob2o15bobob2o
14bobo17bobo17bobob2o14bobob2o14b3o17b3ob2o14b2o18b2ob2o15b2ob2o15bo
19b4o16bo24b2o18b2o15b2o16b2ob2o17bo19b2ob2o16b2o17bo$o21bo17bobo17bob
o17bobo17bobo17bobo17bo19bo19bo2bo16bo2bo18bo19bo39bo98bobo38b2o17bobo
20b3o17b3o$obo17bobo18bo18b2o19bo18b2o19bo18b2o18b2o18bo2bo17bobo16bob
o20bo17b2o17bobo97bobo38bobo17b2o20bo2bo16bo2bo$b2o17b2o159b2o19bo17b
2o18b3o17bobo17b2o99bo39b2o41b2o17b2o$240bo20bo12$b2obo16b2o3b2o13b2o
18b2o18bo19bo19bo19b2o18b2o2b2o14bo19bo22b2o18b2o18b2o18bo20bo15b2o17b
2o18b2o4b2o12b2o3b2o13b2o18bob2ob2o13b2ob2obo13b2o5b2o11b2o$o2b4o13bo
2bobo2bo11bo2bob2o13bo2bo16bobo2b2o13bobo17bobo17bobo2b2o13bobo2bobo
12bobo17bobo3b2o12b2obob3o12b2obo2bo13b2obobo14b2obobo14b2o2bobo13bo2b
o16bobo17bo2bo2b2o12bobobo2bo12bobo17b2obob2o13b2obob2o13bo2b2obobo11b
o3bo$bo5bo13bobobobo13bobobobo13bobo17bo4bo14bo2bo16bobo17bo4bo14bo5bo
13bobo17bobobo2bo12bobo4bo12bobobobo13bobo17bobobo15bo3bobo13b2o2bo17b
o18b2o18bobob2o14bo20bo19bo17b2obobo14b4o$2b3obo15b2ob2o15b2obo2bo13bo
3bo15b4o16b3o17b2o18b4o16b5o16bo19bobobo13bobo3b2o12bobobobo13bob2o16b
ob2o16bobobobo15b3o18bo19b4o14bobo17b2o19bob2o16bob2o18bobo$4b2o40b2o
15b4o97bo17bo19b2ob2o15bo19bo3bo15bo19bo19b2ob2o14b2o20b2o19bo2bo15b2o
18bo20bobo17bobo19bo16b2o$82b2o20b3o15b4o16b2o38b4o74bobo17bobo37bo2bo
18bo60bob2o76bobo$63b2o16bobo20bo2bo14bo3bo15b2o42bo73b2o18b2o39b2o20b
2o59bo2bo76bobo$63b2o17bo23bobo16bobo56bobo157bo60bobo77b2o$107bo18bo
57b2o158bobo59bo$345b2o11$2o3b2o13b2o2b2o14b2o2b2o14b2o18b2o18b2o18b2o
18b2o3b2o13b2o3b2o13b2o18b2o18b2o18b2o18b2o18b2o3b2o13b2o18b2o18b2o18b
2o3b2o13b2o3b2o13b2o18bo2bo16b2o2b2o14b2o3bo14b2o$obo2b2o13bo2bo2bo13b
o2bo2bo13bo5b2o12bo19bobo17bobo17bobo2bobo12bobo2bobo12bobo3b2o12bobo
3b2o12bobo3bo13bo2b2o15bo19bobobobo13bobob2o14bo4bo14bobob2o14bobobo2b
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15b2ob2o15bobobo16bobo17bobobo14bob2o15b2o18b2obobo14b2o3bo14b2ob2o15b
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79b2o17bobo18bo20bo$83b2o18bo2bo16bo2bo113b2o18bo4bo54b2o19b2o97b2o40b
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15b5o15bo3bo16b3o15b2obo18bobo15bobobobo13bobobobo13bo2bo16bobo17bo4bo
16bob2o16bobo15bo4bo16bobo15bo2bo2bo13bo3bo18bo3bo14bobo15bo4bo14bo5bo
13b2obo19b2o17b2obo$obo3bo13bo5bo13bo5bo14bob2o16bo2bo15bo2bo17b2ob2o
14b2o3b2o13b2o3b2o13b3o18bo18b2o2bobo13bobob2o14bobob2o15b4o17bobo15b
2o19b4o19b4o14bobo15b2o2bobo13b2o2bobo13bo2bo18bo2bo16bo2bo$o3b2o14bob
obobo13bobo2b2o13b2obo16bo2bo17b2o19bo102bobo12b2o18b2o41bo79bo20b2o
18b2o15b2o20b2o18b2o$b3o17b2ob2o15b2o17bo2bo17b2o37bobo57b3o43bobo54b
2o56b4o19b2o$3bo57b2o57b2o58bo2bo43b2o54b2o56bo2bo19b2o$181b2o10$b2o
18b2o18b2o18b2ob2o15b2ob2o15b2ob2o15b2ob2o15b2obo16b2ob2o15b2ob2o15b2o
b2o15bo3bo15bo3b2o14bo20b2o18b2o18bo19b2ob2o16bob2o19bo16bo19b2o18b2o
20bo18bo$o2bo16bobo17bobo17bobobobo13bobobobo13bobobobo13bobobobo13bob
ob3o13bobob2o14bobobobo13bobob2o2b2o10bobobobob2o10bobobobo13bobo4bo
13bo2bo18bo2bo14bobo17bobobobo13b3obobo16b3o14b5o17bobo17b2o19bobo17b
3o$o2bo16bo4bo14bo4bo14bo5bo13bo5bo13bo5bo13bo6bo12bo6bo12bo19bo3bobo
13bo8bo10bobobobobobo9bobobo15bo2bo2bobo12bob2o15bo2bobobo12bo2bo16bo
6bo12bo6bo12b2obo16bo5bo19bo36bo2bo20bo$b2ob2o15b5o15b5o15b5o15b5o15b
5o15b5obo13b5obo13b5o15b3obo15b3ob4o12b2obobobobo10b2obo16bobo2bobo11b
2o18b3o2bobo12b2ob2o15b7o13b7o13b2obob2o13bo2bo2bo14b4obo14b4o16b3obo
15b2o3b2o$3bo2bo118b2o18b2o18bo18bo18b2obo18bo3bo14b2o16bo4bo15b2o20b
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5o13b3o17b3o17b3o17b2o18b2o20b2o16b3o57b3o19b4o13b2obobo16b3o18bo2bo
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16bo2bo15bo2bo17b2o18b2o20bo16bo59bo2bo36b2obo2bo14bo2bo19b5o11b2o18b
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19bo13bo4bo16bo19bo20bobobo15bobobobo11b2obobo$b5obo13b5obo13bob3o14b
2obob2o13b2obob2o16bo2bob2o13bo2bob2o15bobobo$o4b2o13bo4b2o13b2obo16bo
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o18bo$b2o18b2o17b3o57bo2bo16bo2bo16bobo$40bo2bo57b2o18b2o17b2o$41b2o
32$b2ob2o17bo19bo20bo20b2o15b2o16b2ob2o16b2o3bo14b2o3bo14b2o17b2o18b2o
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17bobo17b5o17bobo2b2o10bo2bo16bobobo14bo2bobobob2o9bo2bobobob2o9bo2bo
16bobo17bo2bo2bo13bobo17bobobobo16bobo17bobo15b2obobo14bobob2o14b2obob
o13bo2bo18bobobo$2b3o16bo2bo16bo2bo16bo5bo15bo2bobobo10b2obo16bo3bo15b
obobobobobo9bobobobobo11bobo18bo2b2o14b5o14bo2bo16bo5bo13bo4bo14b2obob
o14bobobo18bob2o19bo13b2obo17bo2bobo$22b2ob2o14b3o17b5obo15b3o2bo15bob
2o14b3o17b2obobobobo10b2obobobo12bob2o15b2obobo34b3o17b5o14b5o15b2obob
2o13bobob2o16b2o17b5o17b2o15bo3bob2o$4b3o17bo2bo37b2o14b2o5b2o11b4ob2o
38bo3bo15b2ob2o12bo2bo17bo16b2ob2o77bo17bo4bo13bo2bo16bo19b2o3bo14b4o$
3bo3bo16bobo14b5o15b2o17bo2bo16bo21b5o57bobo14b2obobo15bob2o15b5o15b2o
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13bo2bo16bobo17b3o19bo4bo57b2ob2o12bo2b2o14bo18bo5bo14b2ob2o14b2obo16b
2obobo55b2ob2o17bo16b2o$b2o17bo2bo16bobobobo14bobo17bo21bo21bobo59bo2b
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2o16bo39b2o21b2o60bo2bo9b2o18b2o19b2ob2o34b3o41b2o15bo2bo35bobo18bo$bo
19b2o165b2o90bo60b2o38bo31$b2o19b2ob2o14b2ob2o18bob2o16b2o15bo18b2o18b
2o18b2o3b2o13b2o2b2o14b2o2b2o14b2o2b2o15b2o18b2o18b2obo16b2o19b2ob2o$b
obo17bobobobo14bobo17b3obobo15bobo13bobob2o14bobo17bobo17bobobobo13bo
4bo14bo4bo14bo4bo14bobo2b2o13bobo17bobob3o13bo2bo19bob2o$3bo17bo5bo14b
obo16bo6bo17bo14b2ob2o16bo18bo2bob2o14bobo16b4o16b4o16b4o15bo5bo13bo4b
o14bo6bo12bobo17bo2bo$3b3o16b5o14b2ob2o15b7o14b4o36b2o2b2o14b3obobo12b
2ob2o75b5o15b5o15b5obo13bo3bo14b3ob3o$6bo35bobo20bo15bo19b5o21bo20bo
13bobo16b2o18b4o16b4o60b2o15b4o17bo2bo$2o3bobo14b3o17bobo16b2o18b2ob2o
14bo5bo15b5o15b2ob3o12bobobobo13bo2bo16bo4bo14bo4bo15b5o15b5o15b2o37b
2obo$bo3bobo13bo2bo15bobobobo13bo2bo21bo14bobobobo15bo20bobo14b2o3b2o
13bob2o17b4o15b2o2bobo13bo4bo14bo5bo13bobo19b4o14b2ob2o$bob2obo13bo2bo
16b2o3b2o14b2o18b4o16b2ob2o14bobo2b2o16bobo35bo2b2o37bo2bo13bobo17b2o
2bobo13b2o19bo3bo$2bo2bo15b2o57bo39b2o3b2o17bo38bo2bo16b2o19b2o15b2o
21b2o34bobo$3b2o75bobo101b2o17b2o95bo2bo$81b2o218b2o30$b2ob2o15b2o19b
2o18b2ob2o14b2o$obobobo13bobo18bo2bo16bobob2o13bo2bo$o6bo12bobob2o15bo
b2o16bobo16b2obo$b7o13b2ob2o14b2obo16b2obob2o16bob2o$43bo19bob2o13b2ob
ob2o$b2ob2o15b5o17bob2o13b2obo16b2obo$b2ob2o14bo5bo13b2obobobo12bo2bo
19bob2o$20b2o2bobo14bobo2bo14b2o20bo2bo$24b2o15bobo40b2o$42bo31$b2o18b
2o18b2o18b2o20bo$o2bo16bobo2b2o13bobo17bo2bo19b3o$bob3o14bo5bo13bo4bo
14bobo17bo5bo$2bo3bo14b5o15b5o15bo18b7o$3b3o56b3ob2o$21b5o15b5o18bobob
ob2o8b7o$3b3o14bo5bo13bo5bo18bo2bob2o8bo5bo$2bo3bo13bobo2b2o13bobobobo
21bo14b3o$bob3o15b2o18b2ob2o20bobo14bo$o2bo62b2o$b2o30$b2o3b2o$o2bobo
2bo$2obobob2o$3bobo$3bobo$2b2ob2o$3bobo$3bobo$4bo32$5bo$4bobo$3bo2bo$
2bob2ob2o$bobo2bo2bo$o2bo2bobo$b2ob2obo$3bo2bo$3bobo$4bo71$3bo$b5o$o5b
o$7o2$7o$o5bo$b5o$3bo32$b2o2b2o$obo2b2o$o$b6o$7bo$b6o$o$obo2b2o$b2o2b
2o!
The list of object IDs looks like this:

Code: Select all

xs18_02596z69d113
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xs20_mlhe8z102596
xs20_mmge9a4z1243
xs20_o8bbgzx123cko
xs20_raar1qr
xs20_raaraar
xs20_wcc0si96zc871
xs20_wmkhf033z652
xs20_wrb079icz321
xs20_xokc0fhoz653
xs21_0178brz69d11
xs21_035s26z3543033
xs21_03lkkl3zc96w1
xs21_04s0ci53zc97011
xs21_062s0si52z3543
xs21_06996zcid1156
xs21_069b871z4a953
xs21_069iczciq22ac
xs21_0ca96z69d1156
xs21_0cc0si96z6953
xs21_0ggciqb96z343
xs21_0gwra96z8lld
xs21_0mlhe0e93z32
xs21_0mlhu066z346
xs21_0mmgu156z346
xs21_255m88gzcia521
xs21_259e0ehf033
xs21_259egmiczw643
xs21_25a8c8a6zw3596
xs21_2lla8cz643033
xs21_2llicz34aik8
xs21_2lligz12ege3
xs21_2llmz12269ic
xs21_32q48gzok45lo
xs21_354m88gzcia521
xs21_354mgmiczw346
xs21_356o8gzy023ciic
xs21_39e0ehraa4
xs21_39eg8gzx122dik8
xs21_39u0ehrz321
xs21_39u0u93z03421
xs21_3lkkl3z32w252
xs21_3lkmk46z32w23
xs21_4a9m88gzcia521
xs21_4aab9a4z6953
xs21_4ac0si96z2553
xs21_6996kk8z6953
xs21_6996z65115ak8
xs21_699e0okczw653
xs21_699eg8oz0359c
xs21_69a4o0o4a96zy0121
xs21_69a4z69ll96
xs21_69acz6511d96
xs21_69acz69d1156
xs21_69ak8gzcie1221
xs21_69b88a6z033033
xs21_69b8b96zw696
xs21_69b8bb8ozx33
xs21_69b8bbgzw6511
xs21_69baik8z2553
xs21_69e0o4oz259701
xs21_69mggmiczx4ac
xs21_69mgmiczxca6
xs21_6a88bbgzw255d
xs21_8e1dagz5b871
xs21_8e1lmz315a43
xs21_ad1mkk8z3543
xs21_c88mlicz3543
xs21_c8a52z355d96
xs21_ca9b8brzw33
xs21_ciar2qrzw23
xs21_ciiria4z4aa4
xs21_g88ml56zd543
xs21_g88rbgn96z11
xs21_g8e1t6zc95d
xs21_gbb8b96z11w33
xs21_gbb8b96z1253
xs21_gbb8ra96z23
xs21_gbbo7picz11
xs21_j5s2qcz11w346
xs21_mlhu0ooz1ac
xs21_mmge996z1243
xs21_o8b9aczx359a4
xs21_oo0e9jz6a871
xs21_wgj1u0og4cz25421
xs21_xj1u066z69d11
xs22_02596z69bp552
xs22_02596z69d1d96
xs22_0259acz69d1156
xs22_02llmzcnge21
xs22_04a9baa4z4a953
xs22_062s0si96z3543
xs22_08o0u93zoif032
xs22_09v0rbz3210123
xs22_09v0v9z3210123
xs22_0g8ka96zraahz011
xs22_0gbbo7picz121
xs22_0gill2z32w25ako
xs22_0iu0e93z643033
xs22_0iu0u93z643032
xs22_0mllmz122qq1
xs22_2ll6gmiczw343
xs22_2llmgmmz3201w1
xs22_2llmz1qaar
xs22_354kl3zx1qq23
xs22_3lk6gmiczw343
xs22_3lkkl3z32w652
xs22_3lkljgz32w643
xs22_3p6gmicz3543
xs22_4aab8b96zw2552
xs22_696o6kk8zw3543
xs22_699m88gzcia521
xs22_69b88cz69d113
xs22_69b88czx311d96
xs22_69b8b96z03156
xs22_69b8b96z03552
xs22_69b8b96z2553
xs22_69b8bpicz033
xs22_69b8bqicz033
xs22_69b8brz0c871
xs22_69b8n96z6511
xs22_69bojbo8a6
xs22_69e0ehe0eic
xs22_69e0uh3z6513
xs22_69icwciczxdd11
xs22_8e1lmz3303496
xs22_c8970sicz02553
xs22_ca1u8zx122ria4
xs22_ca9bob96z33
xs22_caabob96z33
xs22_cc0s2qrz3543
xs22_ciiriiczwcic
xs22_g88b9icz178b5
xs22_g88bbgz19ll91
xs22_g88ci96zo5ldz01
xs22_g8o03iacz1qq221
xs22_gbb8bpicz123
xs22_gbb8bqicz123
xs22_gs2qb96z6aa4
xs22_ra1v0rrz011
xs22_rb0v1qrz011
xs22_wg8kie0e93z2543
xs22_wg8kie0e96z2543
xs22_wmmge1egoz643
xs23_0354ljgz8kc32023
xs23_04a9m88gzciic321
xs23_0ca96z69d1d96
xs23_0caabqicz2596
xs23_0ggca970si6z3421
xs23_0mlhu0ooz32ac
xs23_178b96zw311d96
xs23_259e0ehe0eic
xs23_259e0ehu0ui
xs23_259m88gzy0123ciic
xs23_39e0o4czc970123
xs23_3lk6kl3zca1011
xs23_69acz69d1d96
xs23_69b8b96z033033
xs23_c88b96zrb871
xs23_cc0v1e8z330346
xs23_cie0e9jzw11dd
xs23_g39u066z1pl4c
xs23_gbb8b96z123033
xs23_ml1e8gzdl871
xs23_okihf0f9z6a4
xs24_031e88gz178kkb43
xs24_069b8b96z4a953
xs24_09v0v9z6430346
xs24_0caabob96z2552
xs24_0g88b96zo5l453z011
xs24_2lmgmmz3460643
xs24_31e8w8ozc8711dd
xs24_35a8c0c4ozw178711
xs24_39u0u93z3210123
xs24_3lk453z342bkk8
xs24_3lkkl3z122qq1
xs24_3lkkl3z3204a96
xs24_69b88a6z69d113
xs24_69b88cz6511d96
xs24_69b8bqicz653
xs24_69ligozo4ai26z011
xs24_c89n8brz33032
xs25_69b8b9acz033033
xs25_69f0ccz6511d96
xs25_8e1t6z2egf0352
xs25_8e1v0rrz3543
xs25_ml1u0ooz11078a6
xs26_259mkk8zg84qaa4z011
xs26_69b88a6z69d1156
xs26_69b88cz69d1d96
xs26_69lig0ggzy012pgf033
xs26_c88baacz311d553
xs27_651u0u156zw17871
xs28_0g8ka9m88gz122dia521
xs30_caabaacz355d553
xs31_69b88bbgz69d11dd
Anybody have a natural 29-cell still life yet, or anything over 31 cells -- or any non-mirror-symmetric still lifes above 26 cells?

EDIT: Updated stamp collection with 823 objects posted here.

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Re: apgsearch: a high-performance soup searcher

Post by codeholic » October 8th, 2014, 4:34 pm

dvgrn wrote:...any non-mirror-symmetric still lifes above 26 cells?
I've got this one:

Code: Select all

x = 6, y = 12, rule = B3/S23
2o$o2bo$b3o2$b3o$o3bo$2ob2o2$5o$o4bo$3bobo$3b2o!
But I don't know how to find the soup that produces it. I think it's left from some previous runs.
Ivan Fomichev

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Re: apgsearch: a high-performance soup searcher

Post by A for awesome » October 8th, 2014, 4:47 pm

I have this 40-cell still life here:

Code: Select all

x = 10, y = 9, rule = B3/S23
4b2ob2o$2o2b2obobo$o8bo$b8o2$b8o$o8bo$2o2b2obobo$4b2ob2o!
It came from this soup:

Code: Select all

x = 16, y = 16, rule = B3/S23
2o2bobo2bo$6ob6o2bo$3ob4ob2obob2o$2bo6b7o$6o4bo2b3o$2o2b2o2bob5o$2bobo
bob5ob2o$2b3o2b2obo2b2o$4o2bo2bobob2o$2ob3ob3ob4o$bob2obo2b5o$b2o2bo3b
obobobo$2o2bo3b2ob3obo$b3o4bobo3b2o$o2bob5obobobo$2b2o3b2obo3b2o!
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)

$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1-\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$

http://conwaylife.com/wiki/A_for_all

Aidan F. Pierce

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 8th, 2014, 5:42 pm

codeholic wrote:
dvgrn wrote:...any non-mirror-symmetric still lifes above 26 cells?
I've got this one:

Code: Select all

x = 6, y = 12, rule = B3/S23
2o$o2bo$b3o2$b3o$o3bo$2ob2o2$5o$o4bo$3bobo$3b2o!
But I don't know how to find the soup that produces it. I think it's left from some previous runs.
Did you find this by running the stamp-collection script? If so, you should be able to use the script's output report to see which run the object came from.

On my system, after I run the script, I get a pile of data copied to the clipboard which ends with

Code: Select all

xs30_caabaacz355d553 :
  1 ROOT 100Mb NUM_SOUPS 10750000   C:\Users\...\AppData\Roaming\Golly\apgsearch\progress\search_0bd6a197b3807c43f35da703b1bc1c68.txt
xs31_69b88bbgz69d11dd :
  25Me2411523 ROOT 25Me NUM_SOUPS 14168500   C:\Users\...\AppData\Roaming\Golly\apgsearch\progress\search_26821d5b1eb521a1f58a9ec0faa318b3.txt
So I can find the soup for the 31-cell still life just py entering "25Me2411523" into hashsoup.py.

The 30-cell still life was apparently found on an old interrupted multi-million-soup run, before I started running v0.44. So the first item on the line (before "ROOT") is just the count of objects found, no soup strings. To find that object again I'd have to run another 10750000-soup search with the root string "100Mb" -- it will be there somewhere...!

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Re: apgsearch: a high-performance soup searcher

Post by A for awesome » October 8th, 2014, 6:27 pm

Any idea why apgsearch called this still life a "bi-loaf 2"?:

Code: Select all

x = 6, y = 4, rule = B3/S23
b2ob2o$obobo$bo2bo$4b2o!
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)

$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1-\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$

http://conwaylife.com/wiki/A_for_all

Aidan F. Pierce

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Re: apgsearch: a high-performance soup searcher

Post by Extrementhusiast » October 8th, 2014, 8:45 pm

dvgrn wrote:...any non-mirror-symmetric still lifes above 26 cells?
This reaction makes an asymmetric 28-bitter:

Code: Select all

x = 8, y = 7, rule = B3/S23
5b3o$b3obo$o2bo$3bo$3bo$obo$bo!
I Like My Heisenburps! (and others)

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 8th, 2014, 9:22 pm

A for awesome wrote:Any idea why apgsearch called this still life a "bi-loaf 2"?:

Code: Select all

x = 6, y = 4, rule = B3/S23
b2ob2o$obobo$bo2bo$4b2o!
Hmm, well, it means that you're running my hacked apgsearch v0.44, and that I made a silly copy-and-paste error while I was looking up objects very late at night in Achim Flammenkamp's Table of Most Seen Objects. I believe I've fixed the problem. That object does have a common name, but it's "cis boat and table", not "[bi-loaf2]" -- I had defined it twice, the second time incorrectly.

In v0.44, I added a few objects with common names in square brackets. The idea was that I was seeing lots of objects that I wanted to be "common", because they were showing up multiple times in million-soup runs. Most of the names were lifted straight from Achim's top-100 list. In a few cases I had to find a name elsewhere -- in this case from the LifeWiki, but some of my other invented names are much more questionable, so I put them in brackets so they can be taken out (or not) in the next official release.

Now that the attachment problem with the forums is fixed, I can attach a copy of the repaired script here, instead of using Dropbox:

EDIT: repaired incorrect tab characters
apgsearch-2014-10-08-v045.zip
Updated hacked apgsearch v0.45 (fixes the Biloaf2 Bug)
(19.59 KiB) Downloaded 381 times
I put this item on the To Do list:

Code: Select all

# TODO: extend the common-objects list further with top 1800 objects from
#       http://wwwhomes.uni-bielefeld.de/achim/ash-pattern.txt
I'm curious about what people think about radically extending the common-objects list in this way. I don't think this will make any noticeable difference in search speed, and it should give a better sense of when a search might possibly have turned up something that hasn't been seen before.
Last edited by dvgrn on October 14th, 2014, 9:49 am, edited 1 time in total.
Reason: fixed tab characters in v0.45 script

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 9th, 2014, 12:50 pm

Extrementhusiast wrote:
dvgrn wrote:...any non-mirror-symmetric still lifes above 26 cells?
This reaction makes an asymmetric 28-bitter:

Code: Select all

x = 8, y = 7, rule = B3/S23
5b3o$b3obo$o2bo$3bo$3bo$obo$bo!
Achim Flammenkamp's soup search apparently ran into that once, and A for awesome's 40-cell object also. The 27-bit object that codeholic posted appears to be new, so we seem to be getting close to the Soup Search Frontier.

Here's the full list of 1,671 still lifes from Achim's text-dump web page, translated into apgsearch canonical form:

Code: Select all

block 33
beehive 696
loaf 2596
boat 253
tub 252
pond 6996
ship 356
longboat 25ac
ship_on_ship g8o653z11
barge 25a4
loaf_on_loaf g88m952z121
mango 69ic
eater 178c
longbarge 25ak8
aircraft 39c
paperclip 69bqic
longship 35ac
shillelagh 3pm
snake bd
big_S g88b96z123
boat_on_boat g8o652z01
pond_on_pond g88m996z1221
integral_sign 31ego
trans-boat_with_tail 178ko
hat 4aar
ship_on_boat g8o652z11
very_longboat 25ako
tub_with_tail 178k8
table_and_table raar
very_longship 35ako
sinking_ship 312ko
longsnake 3lo
?08-snake_eater 32qk
very_longsnake 31248c
cis-boat_with_tail 178kc
tub_with_long_tail 25a84c
long_shillelagh 312453
long_sinkingship g0g853z11
?09?001 178426
very_very_longsnake 31248go
block_and_table 32qr
beehive_with_tail 178kk8
loop 69ar
boat_with_long_tail 3215ac
?10-S-ten 3542ac
trans-barge_with_tail ggka52z1
broken_snake 0drz32
?10-great_snake_eater 1784ko
cis-barge_with_tail 178ka4
?10?003 358gkc
?10-tub_with_nine g0s252z11
very_longbarge g8ka52z01
?10?004 drz32
?10?005 4al96
very_longsinkingship xg853z321
?10?006 0j96z32
?10?007 0cp3z32
?10?008 ggka23z1
?10?009 25a8426
?10?010 31eg8o
?10?011 2eg853
?10?012 1784213
very_very_very_longsnake wg853z65
elevener g0s453z11
?11-loop 178jd
trans-loaf_with_tail ggm952z1
?11_boat_with_bend_tail 178b52
trans-boat_with_nine g0s253z11
?11?002 178c4go
cis-boat_and_table 2530f9
?11?003 69lic
?11?004 31461ac
boat_on_aircraft 08o652z32
cis-loaf_with_tail 178kic
very_very_longboat g8ka52z11
trans-boat_and_table 2560ui
?11?005 32132ac
?11?006 358gka4
?11?007 31eg84c
?11?008 69jzx56
cis-boat_with_nine g0s256z11
?11?010 354c826
?11?011 2ege13
?11?012 3586246
trans-longboat_with_tail ggka53z1
?11?013 25icz65
boat_on_snake 256o8go
?11?014 25a84ko
cis-longboat_with_tail 178ka6
?11?015 31e853
?11?016 25akg8o
?11?017 69jzx123
?11?018 3542156
?11?019 35a8426
?11?020 17842ac
?11?021 4ai3zx123
?11?022 178c48c
?11?023 17842sg
very_very_longsinking_ship wg84213z65
?11?025 25iczx113
?11?027 0drz65
?11?028 0g0s252z121
?11?029 0cp3z65
?11?030 g88a52z23
?11?031 3215a8o
very_very_very_very_longsnake xg853zca1
cis-block_and_longhook 3hu066
cis-aircraft_on_table 32qj4c
?12-beehive_bend_tail 2egm96
?12-snorkel_loop 2egm93
block_and_cap 330f96
longboat_on_boat 0g8o652z121
trans-block_and_longhook 330fho
?12-eater_with_nine 178c453
beehive_at_beehive o4q552z01
trans-mango_with_tail 69iczx113
?12?003 178br
eater_on_boat 256o8a6
?12-beehive_with_nine 0ggm96z32
?12?004 0ggm93z32
beehive_and_table 6960ui
?12?006 g4q453z11
?12?008 0g0s252z321
cis-mango_with_tail 178kia4
trans-ship_and_table 3560ui
?12?011 25a8og4c
?12?012 0ggs252z32
?12?013 31egma
boat_on_eater 0g8o652z23
ship_on_snake 3123cko
?12?014 651i4ozx11
?12?015 3542ako
?12?016 3215ako
very_very_longbarge 0g8ka52z121
?12?017 354qic
?12?018 0gbaa4z121
?12?019 31eozx123
?12?020 35iczx113
very_very_longship g8ka53z11
para-aircraft_and_table 39c0f9
?12?021 5b8ozx123
?12?022 0g8ge13z23
?12?023 178c2ko
?12?024 g4q552z11
cis-ship_and_table 6530f9
cis-longbarge_with_tail 178ka52
trans-barge_with_nine 0ggka52z32
?12?026 4ai3s4zx1
cis-barge_with_nine 0gila4z32
trans-longbarge_with_tail 0g8ka52z23
?12?029 321e853
?12?030 354cga6
?12?031 0g8ka23z23
?12?032 358m93
?12?033 g88a53z23
?12?034 252sga6
?12?035 31eg8426
ship_on_aircraft 08o653z32
?12?037 69jzx1ac
?12?038 35icz65
boat_on_longsnake 3lozx352
?12?040 3pczw1246
rotated_table 32qb8o
?12?042 178k871
?12?043 drz346
?12?044 0g0s256z121
?12?045 358mic
?12?046 03loz643
snake_and_table 32130f9
?12?049 69jzx1246
?12?050 4alla4
trans-aircraft_and_table 4s0c93z11
?12?052 641j4czx11
?12?054 25a8og8o
?12?055 3pcz643
?12?056 drz1226
?12?057 2ege123
?12?058 0cq23z65
?12?059 642tic
?12?060 31460ui
?12?062 178ka23
very_very_very_longsinkingship xg84213zca1
?12?063 g853zdb
?12?065 8ljgzx252
?12?066 32132qk
?12?067 ci52zw1246
?12?068 358gka6
?12?069 4ai3zx1246
?12?070 312312ko
?12?071 31eg853
?12?072 32qczx113
longboat_on_ship 0g8o653z121
?13-snorkel_loop 2eg6p3zx1
snake_and_R-bee 6970bd
trans-cis-boat_and_longhook 2530fho
krake 31ege13
?13-head 32qb96
cis-boat_and_cap 2530f96
?13?002 354mp3
R-bee_on_beehive g8ge96z121
?13?003 c88a52z33
beehive_at_loaf g88m96z121
?13?004 17871ac
?13?005 178n96
trans-eater_and_table 32arzx123
?13?007 259mge2
ortho-loaf_and_table 4a960ui
boat_on_shillelagh djozx352
?13?008 31egma4
?13?009 321fgkc
?13-trans-loaf_with_nine 0ggm952z32
trans-very_longboat_with_tail 0g8ka53z23
?13?011 0ggs253z32
?13-cis-loaf_with_nine 0gil96z32
?13?013 08ka96z321
?13?014 0ggs256z32
cis_cis-boat_and_longhook 3hu06a4
cis_trans-boat_and_longhook 2560uh3
ship_on_eater 0g8o653z23
R-bee_and_snake 69e0mq
?13?016 354djo
?13?017 0gbaa4z321
?13?018 4aarzx123
?13?019 3146178c
?13?020 0gbaicz121
trans-boat_and_cap 2560uic
snake_and_hook 39e0db
?13?022 0ggm96z56
boat_on_longship 0g8o652z321
beehive_on_eater 255q8a6
trans-longboat_with_nine 0ggka53z32
para-loaf_and_table 25960ui
?13?026 31kmiczw1
?13?027 g8ka23z56
?13?028 3123qic
?13?029 3pczw1156
?13-eater_on_ship 356o8a6
trans-trans-boat_and_longhook 0mk453z121
cis-longboat_and_table 25ac0f9
?13?031 08ob96z32
?13?032 wggm96z252
?13?033 08u156z32
?13?034 g0s2pmz11
?13?035 035iczca1
trans-longboat_and_table 0gbq23z121
beehive_on_hook 08o696z321
?13?038 oe1246z23
?13?039 32qkzx346
?13?040 wggm93z252
?13?041 352sga6
shillelagh_on_boat 256o8gkc
?13?043 31e86246
?13?044 2ege1e8
?13?045 358go8a6
?13?046 32qj96
?13?047 8ljgzx346
?13?048 354264ko
hook_and_snake 39e0mq
?13?050 0gbaa4z123
?13?051 0gbb8oz121
very_very_very_longboat 0g8ka52z321
ship_on_longsnake 3lozx356
?13?054 0g0s253z321
?13?055 32hu066
para-eater_and_table 178c0f9
?13?057 2lmge2z01
cis-eater_on_table 354c0f9
snake_on_longboat ggca52z65
?13?060 31231ego
?13?061 0o4871z643
?13?062 32qczx1246
boat_on_sinkingship wg8o652z65
?13?064 6246pic
?13?065 0gba96z121
very_very_very_very_longsinkingship 31248gzy212ko
?13?067 g6q453z11
aircraft_on_longboat 0ggca52z641
?13?069 651i4ozw121
?13?070 31eozca1
?13?071 g8ka52z56
cis-very_longboat_with_tail 178ka53
?13?073 c9jzbd
?13?074 31eozx1252
?13?076 25a8oge2
?13?077 0g6p56z121
?13?078 32ac0f9
?13?079 jhe8z65
?13?080 35a8og4c
?13?081 256o8a52
?13?082 0gbq23z23
?13?083 25akg853
?13?084 g842156z123
?13?085 354215ac
?13?086 652sga6
?13?087 0gjla4z32
?13?088 6421eozx32
?13?089 3146o8a6
?13?090 ci52z39c
?13?091 31eg84ko
?13?092 32hu0oo
?13?093 bdggkczw1
?13?094 ghn871z1
?13?095 0ggo8b5z32
?13?096 641vg4c
?13?097 25b8og8o
?13?098 32132ako
?13?099 j5c48cz11
?13?100 0g0s256z321
?13?101 3lo0ui
cis-mirrored_R-bee 6970796
cis-mirrored_hook 39e0e93
block_and_dock j1u066z11
14-ner 69bo8a6
cis-hook_and_R-bee 39e0e96
?14-bi-loaf 69la4ozx11
?14-beehive_with_long_bend_tail 31egm96
trans-hook_and_R-bee 39e0eic
pond_and_table 69960ui
loaf_at_loaf 4a9m88gzx121
cis-rotated_hook 6is079c
trans-rotated_R-bee g8o0e96z121
?14?005 c88a53z33
trans-mirrored_R-bee 69e0eic
beehive_and_cap 6960uic
?14?006 0gbqicz23
?14?007 j1u413z11
book_ends 1no3tg
R-loaf_on_beehive g88q552z121
trans-ship_and_cap 3560uic
trans-beehive_and_longhook g2u0696z11
para-R-bee_on_loaf g8o69a4z121
?14?011 2egu156
?14?012 g8id96z121
cis-beehive_and_longhook 3hu0696
?14?014 3lmge2z01
longhook_and_table 3hu0ui
?14?016 4a9ria4
?14?017 drz012156
?14?018 178jq23
?14?019 31ego8a6
cis-rotated_R-bee 6970sic
?14?020 08u1e8z321
ship_on_shillelagh djozx356
?14?021 65p68ozx11
trans-mirrored_hook 39e0eio
hook_on_hook 64lb8ozw11
?14-mango_with_bend_tail o4id1e8z01
?14?024 32qj4ko
?14?025 i5q453z11
cis-ship_and_cap 6530f96
?14?026 mmge13z1
para-mirrored_hook g4s079cz11
ortho-hook_and_R-bee 6970si6
?14?029 c88b52z33
para-hook_on_loaf 08o69a4z321
ship_on_longship 0g8o653z321
para-hook_and_R-bee o4s079cz01
?14?032 0cq1e8z321
?14?033 c88e13z33
trans-ship_and_longhook 0mk453z321
trans-mango_with_nine 69iczx1156
ortho-hook_on_loaf 08o6952z321
cis-aircraft_on_longhook 04s39cz321
loaf_on_eater 69akgkczx1
cis-mango_with_nine ci96zw1156
meta-hook_and_R-bee 08o0e96z321
?14?040 2552sga6
?14?041 69arzx123
?14?042 0gbb8oz321
?14?043 j96z178c
para-ship_and_longhook 3hu0okc
?14?044 178f1e8
cap_and_table 69f0f9
shift-hook_and_R-bee g4s0796z11
?14?046 31eozx1256
ortho-R-bee_on_loaf g88m552z121
?14?047 31egm93
?14?048 08u1acz321
?14?049 0g8ob96z23
eater_on_longboat 8ehjzw1252
?14?051 4a9raa4
snake_and_R-loaf 259e0mq
?14?053 wggm96z652
?14?054 4aaraa4
cis-longship_and_table 35ac0f9
?14?056 33gv146
cis-ship_and_longhook 3hu06ac
trans-rotated_hook 08o0e93z321
ortho-eater_on_eater 354c32ac
cis-boat_with_tail_on_boat 256o8b52
?14?061 2eg8o653
para-aircraft_on_cap 39c0f96
?14?063 dbgzmq1
?14?064 cai3zbd
?14?065 69ak8zx1252
trans-boat_with_tail_on_boat 256o8a53
?14?067 o8brzx123
cis-mango_and_table 69ic0f9
?14?069 178bq23
?14?070 wggm93z256
ortho-ship_and_longhook 3560uh3
ortho-longhook_and_table 4s0fhoz11
?14?073 0m2s53z121
?14?074 0gbaa4z343
?14?075 0gbaa4z643
?14?076 354cgs26
?14?077 64132qr
trans-mango_and_table 4s0ci96z11
?14?080 65la4ozx11
?14?081 0g6p2sgz121
?14?082 g6pb8oz11
shifted_R-bee o4s0796z01
longboat_on_longboat wggca52z2521
?14?086 0g0si52z343
?14?087 wggm93z643
?14?088 0gbaicz321
?14?089 255q8a52
?14?090 wggka53z252
?14?091 g84q552z121
?14?092 0g0s2pmz121
?14?093 0g8ehrz121
trans-longbarge_with_nine wg8ka52z643
?14?097 0md1e8z32
?14?098 69jzx12453
trans-longship_and_table 0gbq23z321
snake_on_longship ggca53z65
cis-snake_and_longhook 31230fho
?14?102 6421fgkc
trans-longhook_and_table 8o0uh3z23
?14?104 65pa4ozx11
?14?105 32132qr
?14?106 08u156z65
?14?107 4aabgzx1252
ortho-aircraft_and_longhook 0mk453z641
?14?109 wgil96z252
?14?110 31e8gzwbd
?14?111 c88a52z352
?14?112 31e861ac
?14?114 178bp46
?14?115 4a9b8ozx32
?14?116 wggka23z652
?14?117 0gbap3z121
?14?118 178c2ego
?14?119 wggm96z643
?14?120 65la8czw11
?14?121 3146164ko
?14?122 i5q8a6z11
?14?123 cilmzx252
?14?124 25b8oge2
?14?125 03lkk8z252
boat_on_integral_sign 0gba96z321
?14?127 xoge13z253
?14?128 0j5s26z121
?14?129 ck31246z023
?14?130 3542tic
?14?131 0gba96z123
longboat_on_eater wggc871z2521
cis-aircraft_and_longhook 3hu0oi6
?14?134 0ggm952z56
aircraft_on_cap 64pb8ozx11
?14?136 3pa4zw1156
?14?137 i5t246z11
?14?138 wggm952z252
?14?139 0gbb8oz123
?14?140 4s0f96z11
?14?141 0mp3zc96
?14?142 j5s252z11
?14?144 35iczx1156
?14?145 08ka952z321
?14?146 gilmz1w252
very_very_very_longship 0g8ka53z321
?14?148 wggm96z256
?14?149 w8o653zca1
?14?150 3hu06246
?14?151 4a9j08ozx121
?14?152 0c88b5z253
?14?153 xok871z253
?14?154 3542sga6
?14?156 cai3zw1156
?14?158 178ka4z311
?14?159 0gil96z56
?14?160 ml96z56
?14?161 39m8628c
?14?162 25a88cz0253
?14?163 25is0qm
?14?164 drz012552
?14?165 64lb8ozx11
?14?166 0c88a52z253
?14?167 0gbaa4z1252
?14?168 cp3z012156
?14?169 03iak8z6221
?14?170 djozx3146
?14?171 08k8a53z321
?14?172 354cj96
?14?173 g8o652z1ac
?14?174 39m86246
?14?175 6413kczw65
?14?176 032qk8z253
?14?177 3iarz056
?14?178 8u15a4z32
?14?179 4aab8ozx32
mooseantler 354cgc453
R-bee_on_pond g8o6996z121
trans-R-bee_and_R-loaf 259e0eic
?15-tub_scorp 25a8ob96
?15-often 4a9raic
?15-bee-hat 3lkm96z01
?15-block_and_long 09v0ccz321
?15?004 0cid96z321
cis-boat_and_dock j1u06a4z11
?15?005 4ap6426z032
?15?006 0gbb8oz343
para-loaf_and_cap 25960uic
?15-hovac_on_loaf 0g8ka96z3421
cis-R-bee_and_R-loaf 259e0e96
loaf_on_R-loaf 0ggca96z3421
trans-boat_and_dock 3lk453z121
hook_on_pond 08o6996z321
?15?009 0gilicz346
?15?010 g88m596z121
hook_and_shillelagh 39e0mp3
?15?012 33gv1oo
?15?013 3213ob96
?15?014 ca96zw3552
?15?015 ca96zw3156
trans-hook_and_R-loaf 259e0eio
cis-hook_and_R-loaf 259e0e93
?15?016 4a970si6
eater_on_longship 8ehjzw1256
?15?017 69bojd
?15?018 65123qic
?15?019 c88e13z352
R-bee_on_shillelagh o4s3pmz01
R-bee_and_shillelagh 3pm0eic
?15?022 06t1acz321
?15?023 g8id1egoz01
?15?024 0j1u066z121
snake_and_R-mango kc0si96z11
?15?025 oggm96z66
?15?026 cilmzx256
loaf_on_pond 699m88gzx121
?15?027 4a970sic
ortho-loaf_and_longhook 3hu069a4
?15?028 6t1egoz11
?15?029 695q88gzx121
?15?030 8e1u8zx1252
?15?031 3pm0e96
?15?032 wggm952z643
?15?033 0g0si53z343
?15?034 0c8a52z2553
?15?035 4a9b8oz033
beehive_on_R-mango 0g0si96z343
?15?036 69aczw2553
?15?037 253gv146
para-hook_and_R-loaf 69aczw6513
?15?039 25is0sic
?15?040 69ak8zx1256
?15?041 259mge13
?15?042 0ggci96z343
?15?043 4a960uic
?15?044 0mk453z1243
para-loaf_and_longhook 25960uh3
?15?045 2ego8br
R-loaf_on_loaf 0ggca96z1243
?15?046 35a88cz0253
?15?047 0c8a52z6513
?15?048 2egu15a4
?15?049 69aczx3552
?15?050 xoka52z653
?15?051 gilmz1w256
?15?052 0ggmp3z346
?15?053 wgil96z256
?15?054 69aczx3156
?15?055 0g6p2sgz321
?15?056 j5q8a6z11
?15?057 08u1daz321
?15?058 25is0si6
?15?059 178bqic
?15?060 0c88a52z653
?15?061 0mlla4z32
?15?062 0mk453z3421
?15?063 0at1e8z321
?15?064 0gbaa4z3452
?15?065 255q8a53
?15?066 0j9akoz321
?15?067 0g8ehrz321
?15?068 65la8ozw121
?15?069 0gba96z343
?15?071 gbb871z23
?15?072 3lkia4z32
?15?073 178bpic
?15?074 25a8czx6513
?15?075 2lla8oz121
?15?076 03lkicz252
?15?077 w8u156zca1
?15?078 3loz12ego
?15?079 4aara96
?15?080 4aab8oz033
?15?081 02l2sgz2543
?15?082 06t1e8z321
?15?083 g88a52z178c
?15?084 0c88b5z2552
?15?085 25b8o653
?15?086 cq23z012552
?15?087 xok871z653
?15?088 0j1u0ooz121
?15?089 bdgmiczw1
?15?090 2ege1ego
?15?091 39u0ooz32
?15?092 02llicz252
?15?093 699mkk8zx1
?15?094 64138n96
?15?095 354c0f96
?15?096 2eg8ob96
?15?097 wgil96z643
?15?098 08k453zca43
?15?099 354miozw32
?15?100 65la4ozw121
?15?101 25iczx1178c
?15?102 ciabgzx1252
?15?103 4aabgzx3452
?15?104 oggm93z66
?15?105 3pq32ac
?15?106 g8ob96z56
?15?107 0bq1e8z321
?15?108 31eozx12552
?15?109 0c88b5z653
?15?110 0c88a52z2552
?15?111 xc8a52z6513
?15?112 178c0f96
?15?113 4a9ri96
?15?114 025a8cz6513
?15?115 wggka53z643
?15?116 03lka4z643
?15?117 g8e13zpi6
?15?118 2lmge2z32
?15?119 wggm952z652
?15?120 32qjc48c
?15?121 178c0fho
?15?122 0ggci96z643
?15?123 wg8ka53z643
?15?124 69is0qm
?15?125 31ege2ko
?15?126 64lb8ozw121
?15?127 178c2dio
?15?128 4a9b88gzx311
?15?129 wmd1e8z65
?15?130 wggm96z696
?15?132 39u066z032
?15?133 wggm952z256
?15?134 c88b52z352
?15?135 0i5q453z121
?15?136 oggka52z66
?15?137 0gbaarz121
?15?138 g8hf0cicz01
?15?139 25aczw3553
?15?140 0gba952z123
?15?141 25ac0f96
?15?142 0gbb8oz643
?15?143 25ako0ui
?15?144 08o69icz321
?15?145 0gbhe8z3421
?15?146 8kk3123z641
?15?147 354m96zw32
?15?148 39u066z32
?15?149 wggca52z6521
?15?150 cilmzx346
?15?151 03lkk8z643
?15?152 0g6pb8oz121
?15?153 g8jdzpic
?15?154 39e0djo
?15?155 25ac0fho
?15?156 cq23z012156
?15?158 wggka52zc96
?15?159 wg8ob96z65
?15?160 xgs252zca43
?15?161 03lkk8z652
?15?162 32hu0696
?15?163 bd0ehr
?15?164 wgbqicz65
?15?165 0gba96z643
?15?166 0at1acz321
?15?167 4a9ra96
?15?168 69jc48a6
?15?169 0gbq2sgz121
?15?170 358gu156
?15?172 o5r8b5z01
?15?173 356o8a53
?15?174 g8o69icz121
?15?175 354m93zw32
?15?176 03lkk8z256
?15?177 0gbap3z321
?15?178 ca9jzw3452
?15?179 699m4k8zx11
?15?180 39c8a6z033
?15?181 69b88czw252
?15?182 4aar9ic
?15?183 03pczok452
?15?184 3hu0oka4
?15?185 ogkq23z66
?15?186 wggs252z696
?15?187 g4s3pmz11
?15?188 wgil96z652
?15?189 25is079c
?15?190 358ml96
?15?191 31e88cz0253
?15?192 025a8cz2553
?15?193 0gbaa4z1256
?15?194 0ggo8brz32
beehive_and_dock j1u0696z11
scorpion 69egmiczx1
cis-mirrored_R-loaf 259e0e952
cis-R-bee_and_R-mango 697079ic
mirrored_cap 69f0f96
?16-sym_scorp 69bob96
cis-mirrored_longhook 3hu0uh3
R-bee_and_C 69e0ehr
cis-hook_and_R-mango 69is0si6
hook_and_C 39e0ehr
trans-R-bee_and_R-mango 0ca952z2553
pond_and_cap 69960uic
cap_and_longhook 3hu0uic
?16?004 32qbzca43
trans-ship_and_dock 3lk453z321
loaf_on_R-mango 0g8o69a4z3421
?16?006 xca952z2553
?16?007 0ggs2qrz32
ortho-aircraft_and_dock 0c93z651156
para-aircraft_and_dock j1u06ioz11
table_and_dock j1u0uiz11
para-hook_and_R-havoc 259aczx6513
?16?011 w8k8a53z6521
para-hook_and_C m2s079cz11
?16?013 39egmiczx1
ortho-R-bee_and_C c4o0e96z321
mango_on_R-loaf wggci96z2543
?16?015 0c8a53z2553
?16?016 4aab96zx33
?16?017 c88q552z311
trans-hook_and_R-mango 0ca952z6513
?16?018 08o6hrz643
cis-ship_and_dock j1u06acz11
?16?019 gbbo8a6z11
ship_on_boat_with_longtail 0g8o653zbc1
?16?020 1no3qic
pond_on_R-loaf 0ggca96z3443
?16?021 69is079c
?16?022 4aab96z033
?16?023 69aczx3596
?16?024 04s0f96z321
?16?025 259e0mp3
?16?026 0gjlicz346
?16?027 0gjlkcz346
?16?028 g88e13z178c
?16?029 0259acz2553
?16?030 h7ob96z11
?16?031 35is0si6
?16?032 gs2ib8ozx32
?16?033 wg0si96z2543
?16?034 2ege96z321
?16?035 69ligozw66
?16?036 69ngbr
?16?037 6a88b52z033
?16?038 gbap56z121
?16?039 0c88a53z2552
?16?040 c4o79cz321
ortho-hook_and_C 08o0ehrz321
?16?042 0jhu0ooz32
?16?043 3iaj2acz011
?16?044 6ags2qr
?16?045 35is0sic
?16?046 69aczw6953
?16?048 35a8czx6513
?16?049 0c8a52z6953
?16?050 09v0ca4z321
?16?051 1787164ko
?16?052 0259acz6513
?16?054 25b88a6zw33
?16?055 0mp2sgz643
?16?056 0mk453z3443
?16?057 356o8br
?16?059 25aczw3115a4
?16?060 raarzx123
?16?061 o8bdzx3156
?16?062 69ara96
?16?063 4a970sia4
?16?064 69b88czw652
?16?065 mligz1w696
?16?066 0j1u066z321
?16?067 69b88czw256
?16?068 oggm952z66
?16?069 031e8gz8k871
?16?070 35s2mzx1252
?16?071 0g8ka952z3421
?16?072 35a8ob96
?16?073 3hu06996
?16?074 31egu156
?16?075 gilmz1w696
?16?076 c4gf96z321
?16?077 2llm853z01
?16?078 g88q596z1221
?16?081 4a9mk46zx121
?16?082 g8hf0cicz11
?16?084 xca952z6513
?16?085 03l2sgz2543
?16?086 0j1u0ooz321
?16?088 mmge1e8z1
?16?089 69araic
?16?090 02llicz643
?16?091 gs2596z1226
?16?092 c9b871z33
?16?093 259e0eik8
?16?094 25is0sia4
?16?095 0j9m4koz121
?16?096 08u1da4z321
?16?097 039m4koz311
?16?098 697o4iczx11
?16?100 259aria4
?16?102 09v0ck8z321
?16?103 8o6p96z1221
?16?104 mkhf0ccz1
?16?105 65lmge2zw1
?16?106 3hu069ic
?16?107 2552sgz0653
?16?108 69baiczx32
?16?109 0gs2arz3421
?16?110 6a88a52z253
?16?111 4a9r2pm
?16?112 xc8a53z6513
?16?113 m2s0796z11
?16?114 39u08k8z321
?16?115 0cp3z643033
?16?116 178f1ego
?16?117 c88m552z311
?16?118 2lla8cz1221
?16?119 8e1t6zx1252
?16?120 35aczw3553
?16?121 39m453z321
?16?122 04a96z4a5113
?16?123 0c88a52z2596
?16?124 39s0ca4z321
?16?125 cim453z641
?16?126 69aczx315a4
?16?128 0g0s2qrz321
?16?129 178c2djo
?16?130 ci4o0uh3zw1
?16?131 g88b96zc93
?16?132 2ege132ac
?16?133 39cz651156
?16?134 354kmzx1256
?16?135 03lkicz643
?16?136 4ap3zw12596
?16?137 69p64k8zw121
?16?138 25b8ob96
?16?139 31ege1da
?16?140 62s0f9z321
?16?141 3pm86248c
?16?142 0o4a952zbd
?16?143 312kozw12ego
?16?144 69iczxd552
?16?146 0g8id96z3421
?16?147 g8id1egoz11
?16?148 xggm952z4a43
?16?149 6a88brzx32
?16?150 0ml2sgz1243
?16?151 w8o6952z6521
?16?152 xoka53z653
?16?153 69f0ci96
?16?154 178jd453
?16?155 03lkk8zc96
?16?156 6s1raa4zw1
?16?157 03lka6z643
?16?158 wml5a4z643
?16?159 6970si96
?16?160 69ab8oz033
?16?161 0bq2sgz643
?16?163 69mggoz04a6
?16?164 62s0c93z321
?16?165 0c88b52z2552
?16?166 358gu15a4
?16?167 25is0si52
?16?168 252s0ccz2521
?16?169 259aczx2553
?16?170 62s0f96z011
?16?171 259mggozx66
?16?172 gill2z1w652
?16?173 0cq1egoz321
?16?174 g6q0si52z11
?16?175 0c8a53z6513
?16?176 0gil9a4z3421
?16?177 4s0c453z643
?16?178 0pf033z643
?16?179 c4o79icz011
?16?180 651248n96
?16?181 o4id1egoz01
?16?182 03lkk8z696
?16?183 ca2s53z311
?16?184 c8al96z311
?16?185 0i5t2sgz121
?16?186 0giu0696z32
?16?187 j5s2552z11
?16?188 wggm952z696
?16?189 8e1u8zx1256
?16?190 4a9b88czx33
?16?191 0j1u06a4z121
?16?192 358e1dio
?16?193 39u06a4z32
?16?194 2l2s53z321
?16?196 xgila4z4a96
twinpeaks 2ege1ege2
block_and_anvil 4aab871z033
para-R-loaf_and_C ca96z065156
para-loaf_and_dock 3lk453z3421
?17?002 660uh32ac
?17?003 2ege1t6zx11
?17?004 0259acz6953
?17?005 g6p3qicz11
?17?006 2lligoz1226
ortho-loaf_and_dock 3lk453z1243
ship_on_elevener 356o8a6z0321
?17?007 69raicz32
R-mango_on_pond 0g8o6996z3421
?17?009 gbb8b5z123
cis-R-loaf_and_R-mango 4a97079ic
?17?010 0356o8z69521
?17?011 3lkiacz1221
?17?012 178baa4zw33
?17?013 09v0cicz321
?17?014 03lk453z643
?17?015 0696z311d96
?17?016 256o696z0321
?17?017 xg8ge13zca611
?17?018 4aab96z0352
?17?019 6a88brz033
trans-R-loaf_and_R-mango 0ca952z6953
?17?020 g6t1qrz11
?17?021 j1u06ak8z11
?17?022 31e88gzc8711
?17?023 5b8b96zx33
?17?024 gie0e93z56
?17?025 025a4z69d113
?17?026 4aarahr
?17?027 69b88a6zw252
?17?028 025a4oz69d11
?17?029 01784oz69d11
?17?030 0c88b52z6952
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?17?032 ckggka52z066
?17?033 xg8k871zca611
?17?034 5b8b96z033
?17?035 069a4ozc8711
?17?036 j1u062sgz11
?17?037 178b9a4zw33
?17?038 0gs2qrz643
?17?039 4aarhar
?17?040 259e0ehr
?17?041 03lk453z2521
?17?042 cimggm96zx1
?17?043 0kc0f96z346
?17?044 0db88cz2553
?17?045 25ako0uic
?17?046 xg8o653zca23
?17?047 0mlhe8z3421
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?17?049 3lkm96z32
?17?050 39u08kcz321
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?17?052 0312koz69a43
?17?053 0ggm96z3ego
?17?054 0ok2qrz643
?17?055 69ab96z033
?17?056 09v0bdz321
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?17?058 4a9r8br
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?17?067 3lka96z321
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?17?072 03hu0ooz643
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?17?086 8e1t6zx1256
?17?087 09v0f9z321
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?17?089 6a88b5z653
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?17?095 0dr0f9z321
?17?096 0oggm93z4aa4
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?17?098 c4o79a4z321
?17?099 39u0uiz023
?17?100 0gbaarz343
?17?101 69bo8br
?17?102 65la8cz0343
?17?103 mm0e96z56
?17?104 4aar1qr
?17?105 okkm96z66
?17?106 69aczx359a4
?17?107 0c88e13z6952
?17?108 697o4czw343
?17?109 4aab96zw253
?17?110 09v0ca6z321
?17?111 wiu0696z643
?17?112 0h7ob96z121
?17?113 699mk4ozx121
?17?114 0c88bdz2553
?17?115 69r2qczw121
?17?116 08e1t6z6511
?17?117 gillicz146
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?17?119 0gjlka4z346
?17?120 0oggm96z4aa4
?17?121 2egu1qr
?17?122 8e1t6zx1253
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?17?125 0gbb871z343
?17?126 c9baaczw33
?17?127 4aab96z253
?17?128 8kimgm96zx1
?17?129 25a8czx65156
?17?130 ckgojdzx66
?17?131 cp3qicz23
?17?132 6a88b9czx33
?17?133 4aligkczw66
?17?134 2egu164ko
?17?135 35is0sia4
?17?136 3lk2sgz343
?17?137 c89f033z33
?17?138 c89f0ccz33
?17?139 ckggm93z066
?17?140 0g8ie0e96z23
?17?141 0cq1dicz321
?17?142 04a96zca5113
?17?143 0651u8z4a521
?17?144 xohf033z253
?17?145 8k4r2qrzw1
?17?146 3iaczw11d96
?17?147 03lk453z4701
?17?148 mligz1w69a4
?17?150 6ao4a96z321
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?17?152 62s0v1oozx1
?17?153 ogil96z6a4
?17?154 25a8czwca513
?17?155 mll2z1025a4
?17?156 4aq3qa4zw121
?17?157 069b8oz3156
?17?158 069b8oz3552
?17?159 mm0e96z146
?17?160 gilmz1w6jo
?17?161 08u1dioz321
?17?162 178c1fgkc
?17?163 g88bp453z23
?17?164 8kkjaaczx23
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?17?167 354kl3z0643
?17?168 031e8gzck871
?17?169 0ggm9icz3443
?17?170 c88bp46z33
?17?171 mm0e93z146
?17?172 259aczw315a4
?17?173 0g9fgka4z321
JC rhe0ehr
cis-mirrored_R-mango 69is0si96
?18-loaf_eater_tail 2egm9a4zx346
?18-boat_huge 69b88a6zw652
?18-block_scorp gbbgn96z11
rotated_C c4o0ehrz321
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?18?005 0c88b96z6513
?18?006 0mllicz346
?18?007 c89n871z311
?18?008 39e0ehla4
pond_and_dock 3lk453z3443
?18?009 ckggm952z066
R-mango_and_C m2s0si96z11
?18?011 gs2ll2z2543
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?18?013 0c88b96z2553
longhook_and_dock j1u0uh3z11
?18?014 gillmz1w643
?18?015 c88b96z3552
?18?016 0mmge96z1221
?18?017 8ehlmzw12452
?18?018 0mmge93z1221
?18?019 8kai3g8ozx343
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?18?024 8e1t2sgz311
?18?025 69b88cz2553
?18?026 mm0e96z1226
?18?027 3iab96z343
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?18?029 69b88cz6513
?18?030 354m453zw343
?18?031 69js3pm
?18?032 259aczx65156
?18?033 4alhe0e96
?18?034 3iakgkcz3421
?18?035 ca9m4koz311
?18?036 69baa4ozx311
cap_and_dock j1u0uicz11
?18?037 259aczw4a953
?18?038 3hu0ok8z643
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?18?068 69baa4z653
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?18?098 c4o79icz321
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?18?111 39u08ka4z321
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?18?117 6a88a53z653
?18?118 358e1fgkc
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?18?120 0c88a53z6996
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?18?123 69mggkcz04a6
?18?124 wmm0e96z643
?18?125 39e0ooz0354c
?18?126 25a8cicz06511
?18?127 c970s4ozw6221
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?18?137 09v0cia4z321
?18?138 ckggka53z066
?18?139 mmge1da4z1
?18?140 0g88bpicz343
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?18?142 g8eht2sgz11
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?18?146 2lla8kcz1221
?18?147 02lligz652w23
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?18?149 3lk64koz321
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?18?160 35iczw123cko
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?19?004 69bo7pic
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?19?007 69mgmiczw66
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?19?020 2egu1uge2
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?19?022 09v0ciicz321
?19?023 cimgm96z066
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?19?025 mllmz1w696
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?19?027 0mmge96z3421
?19?028 69baicz6511
?19?029 354mik8z0696
?19?030 39u08kicz321
?19?031 39u0e96z321
?19?032 39u0eicz321
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?19?034 39u0uh3z023
?19?035 39u0uicz023
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?19?050 69b88a6zw696
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?19?055 06996z4a51156
?19?056 2lmgmicz0146
?19?057 39mge132ac
?19?058 2lmge93z1221
?19?059 mlhikoz1226
?19?060 031e88gz8kid11
?19?061 oggo2ticz66
?19?062 0ml1eoz34611
?19?063 4aa40vhar
?19?064 8u1vg33z23
?19?065 8e1qb96z311
?19?066 3p6o8gz178c1
?19?067 069iczciq226
?19?068 6icgf9gz23x11
?19?069 2lligz32w25a4
?19?070 cc0si96zbd
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?19?072 wmm0e952z643
?19?073 0g31eoz8ll91
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?19?075 330fhik8zw321
?19?076 4aab96z6952
?19?077 178b96z3156
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?19?084 4aab871z653
?19?085 cc0s2qrz311
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?19?087 69e0ok8z2553
?19?088 c970brz06421
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?19?090 259aczw315ak8
?19?091 259ar1qr
?19?092 mkkm96z1226
?19?093 cil9abgzx311
?19?094 3iar2qrzw1
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?19?097 39u0eioz321
?19?098 0696z355d96
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?19?103 0mm0ep3z32011
?19?104 mkhf0cia4z1
?19?105 4a96z255d96
?19?106 cimkkm93zx1
?19?107 mlhe0eioz1
?19?108 0gbbob96z121
?19?109 04aabgz311dd
?19?110 4a96kk8z2553
?19?111 c9b8brzw321
?19?112 696o8zx123cko
?19?113 25a8cz311d96
?19?114 0gilmz1qq221
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?19?117 25ak8gzciq221
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?19?120 6ikm996z1221
?19?121 0mmgm96z346
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?19?123 69icw8ozx11dd
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?19?125 178kozca22ac
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?19?127 651u0ok8zw643
?19?128 8o0e9jzc9611
?19?129 02lligz696w23
?19?130 gbb871z178c
mirrored_dock 3lkkl3z32w23
?20?001 4a9b8b96zx33
?20?002 697ob96z0321
?20?003 25a8a6zx6515a4
?20?005 259aczw311d96
trans-ship_on_ship_and_longhook 354kmzx123cko
?20?007 0mmge952z3421
?20?008 69e0uiz03543
?20?009 gbbo79cz1221
?20?010 696k4ozcid11
?20?011 259mge132ac
?20?012 mlhe8z102596
?20?013 0c88b96z65156
?20?014 4aabaa4z2553
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?20?016 02596z6511d96
?20?017 0caab96z2553
?20?018 0gbbob96z321
?20?019 069b88cz4a953
?20?020 0ad1eoz69d11
?20?021 raaraar
?20?022 0mlhegoz3443
?20?023 354mggzx1023cko
?20?024 69b88brzx321
?20?025 69mgmiczx4a6
?20?026 39u0mmz321011
?20?027 0g8o653zol54c
?20?028 mlhe0eik8z1
?20?029 69mggzw2egnc
?20?030 0mll2z12269a4
?20?031 09v0rrz643
?20?032 0cc0si96z2553
?20?033 caabqicz33
?20?034 65lmzw14b871
?20?035 69b8brz253
?20?036 0c9baa4z6953
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?20?042 259mgmiczx66
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?20?053 069a4z8e1d952
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?20?058 3lkm996z1221
?20?059 2lmge96z3421
?20?060 259acz311d96
?20?061 2lligz32w69a4
?20?062 356o8gzciq221
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?20?066 4a9n8brzx121
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?20?068 39e0okcz2553
?20?069 69e0ok8z6953
?20?070 caab96z3156
?20?071 0gillmz32w643
?20?072 3lkljgz346w1
?20?073 69e0mmz03543
?20?074 4aab9a4z2553
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?20?076 0cc0si96z6513
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?20?082 4a9baa4z2553
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?20?089 04aab871zc871
?20?090 39u0eik8z321
?20?091 0j9eg6p3z121w1
?20?092 65ligzw1023cko
?20?094 gbbo3qicz11
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?20?097 gbb8b96z1213
?20?098 2lmgmicz1246
?20?099 6a88bqicz033
?20?100 xj1u0oozca611
?20?101 04aab96z3553
?20?102 069aczg8o6513z01
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?20?111 cimge96z6421
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?21?001 39u0ehrz321
?21?002 0g8e1eoz6b871
?21?003 699e0okczw653
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?21?029 255mgm93z0643
?21?030 c88bbgz311dd
?21?031 03lkkl3zc96w1
?21?032 255m88gzcia521
?21?033 69b88a6z033033
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?21?040 69b8bb8ozx33
?21?041 33gv1s6z03421
?21?042 oo0e9jz6a871
?21?043 651u08oz4aa611
?21?045 0cc0si96z6953
?21?046 4a9b8b96zw253
?21?047 0mlhu0ooz346
?21?048 xrhe0e96z253
?21?049 0jhkmz32w69ic
?21?050 69b8brz2552
?21?051 0mmgu156z346
?21?052 0mlhe0e96z32
?21?053 69acz69d1156
?21?054 069acz4all96
?21?055 6a88brz6996
?21?056 6is0si96z643
?21?057 39u066z643033
?21?058 699eg8oz0359c
?21?059 2llmz3ege3
?21?060 3pmz4aaq2sg
?21?061 j1u0mmz11w346
?21?062 39u0o4oz0c9611
?21?063 39mgmicz0ca6
?21?064 cic87piczw113
?21?065 cimgm93z4aa4
?21?066 0gt3ob96z3421
?21?067 69abaa4z2553
?21?068 8o6p3qicz0123
?21?069 c8a52z355d96
?21?070 4a60u1t6zw6221
?21?071 g88e1ege1e8z11
?21?072 354m88gzcia521
?21?073 69baik8z2553
?21?074 4a9b8b5zw6513
?22-trans-mirrored_long 08o0u93zoif032
?22?002 69b88cz69d113
?22?003 39e0ehu0ui
?22?004 gbb8bqicz123
?22?005 69b8b96z6513
?22?006 354kl3zx123cko
?22?007 0iu0e93z643033
?22?008 69b8b96z2553
?22?009 2llmz1qaar
?22?010 0mlhu0ok8z346
?22?011 3lkkl3z01w69a4
?22?012 3586178bqic
?22?013 ca9bob96z33
?22?014 09v0rbz3210123
?22?015 ca1u8zx122ria4
?22?016 gs2qb96z6aa4
?22?017 0g8861t6z345d11
?22?018 gbb8bpicz123
?22?019 03lkkl3z470641
?22?020 0iu0u93z643032
?22?021 69b8bpicz033
?22?022 ra1v0rrz011
?22?023 g88bbob96z123
?22?024 09v0v9z3210123
?22?025 4aicgn98czx1243
?22?026 caab9a4z3553
?22?027 xg84o0uh3z4a9611
?22?028 069riicz69a6
?22?029 2llmggz1qq221
?22?030 2llmz12egnc
?22?031 3lkljgz32w643
?22?032 02596z69bp552
?22?033 69b8b96z03156
?22?034 039q4oz6a870123
?22?035 08o0ehe0eicz321
?22?036 0g8e1dqz6b871
?22?037 699m88gzcia521
?22?038 0g8ka96zraahz011
?22?039 g88ci96zo5ldz01
?22?040 2llmgmmz3201w1
?22?041 6960uhe0e96
?22?042 3lk6gmiczw343
?22?043 39e0mp3z03543
?22?044 259e0ehraa4
?22?045 0g8ka96zraahzw11
?22?046 69f0rbz25521
?22?048 wg8kie0e96z2543
?22?049 69b8bqicz033
?22?050 354c0cczx69d113
?22?051 0g6p7ob96z321
?22?052 69mggozo4q226z01
?22?053 69b88czw69d113
?22?054 cc0v1u0oozx123
?22?055 4a9e0uiz03553
?22?056 gbbo79icz1221
?22?057 25akgka52zca26
?22?058 069ak8gz8kie1221
?22?059 caabaa4z3553
?22?060 xm2s079a4z4a611
?23?001 6996z69d1dic
?23?002 259e0ehu0ui
?23?003 3pmkkmzcia401
?23?004 0caabqicz2596
?23?005 xg8o652zm2s346z11
?23?006 69acz69d1d96
?23?007 0gbbo7picz321
?23?008 xrhe0ehrz253
?23?009 69b8b96z033033
?23?010 gbb8b96z123033
?23?011 256o8gzx6430ehr
?23?012 0mll2z344lkk8zx1
?23?013 cie0e9jzw11dd
?23?014 699e0o4k8zw69521
?23?015 3pmggzxmkl2zw1221
?23?016 259m88gzy0123ciic
?23?017 4ais0s2qb96zy21
?23?018 0ca96z69d1d96
?23?019 c8970sicz06953
?23?020 0oo0e952zoie033
?24?001 39u0u93z3210123
?24?002 c89n8brz33032
?24?003 0mlhe8gz32w358go
?24?004 69b8bqicz653
?24?005 4aab96z255d96
?24?007 0gs2t1eoz4aa611
?24?008 09v0v9z6430346
?24?009 69b88cz69d553
?25?001 660u1uge2z3543
?25?002 ca1v0ccz3303453
?25?003 8e1v0rrz3543
?25?004 69ege2s0siczx121
?25?005 69b8bb8ozw6996
?25?006 mlhegmmz1x3443
?26-mirrored_huge 6a88b9cz6511d93
?26?001 g88ml1eoz178a611
?26?002 69ab9cz695d93
?26?003 o8g0s2ibpicz643w1
?26?005 c88baacz311d553
?26?006 g39s0s48gz11d4ko11
?26?007 69b88a6z69d1156
?26?008 69bqa4zx4abqic
?26?009 g84q55q4oz01169521
?27?001 651u0u156zw17871
?27?002 354q4oz69d1ehp
?27?003 0gwo4qabqicz343032
?28-tetra_loaf 0g8ka9m88gz122dia521
?28?001 0caab96z321311d96
?28?002 xrhe0ehrz253y3352
?29?001 0gs2llmz32012egnc
?30-great_sym 69b8b96z69d1d96
?30?001 69b88c0cczx330311d96
?31?001 69b88bbgz69d11dd
?40?001 gj1u0u1jgzdlgf0fgld
My suggestion would be to add all of these objects (that aren't there already) to apgsearch's "common names" list. They don't necessarily have to be added under the above names... but I'm not planning on generating better names for them -- it doesn't matter what they're called, as long as they're noted as having been found before.

When something appears that's not on this extended list of objects, it will really be time to sit up and take notice. I wonder how many still lifes and oscillators have been found by apgsearch that were never seen by Achim Flammenkamp's or Andrej Okrasinski's searches? And what objects were found by those previous searches that haven't turned up in apgsearch yet?

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Re: apgsearch: a high-performance soup searcher

Post by dsmiller » October 9th, 2014, 9:48 pm

dvgrn wrote:-- All that said, I'd still absolutely love to see an eater2 pop out of a random soup sometime.
Here you go! (That didn't take long.) From the soup dsmillerrndss2019887:

Code: Select all

x = 16, y = 16, rule = B3/S23
oobboobbobooobob$
bbboooboboobobob$
booboobbbboboobb$
bobooboooboboboo$
oooboboooobbbobb$
obooooooooobobob$
bbbbobbboobbooob$
bobobooobobbboob$
bobboooooobobbbb$
booobbooobobbbbb$
obbbobobbbobbboo$
bobobobbbboboobo$
obbbboobbobobbbo$
oobbooobobbobbob$
oobbbbbbbbboboob$
booobooooooboooo$
!
The eater2 drops out of the soup pretty quickly, but there might be something there that can be used for synthesis.
David S. Miller

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dvgrn
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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 9th, 2014, 10:32 pm

dsmiller wrote:
dvgrn wrote:-- All that said, I'd still absolutely love to see an eater2 pop out of a random soup sometime.
Here you go! (That didn't take long.) From the soup dsmillerrndss2019887... The eater2 drops out of the soup pretty quickly, but there might be something there that can be used for synthesis.
Wow -- not even a weird variant, but the original eater2! I'm going to think really hard before I make my next wish.

The minimal predecessor certainly looks promising (though I only know enough to be dangerous):

Code: Select all

x = 7, y = 13, rule = B3/S23
bo$bo$3bo$4b2o$2bob2o$obob2o$o3b2o$obob2o3$4bo$3bob2o$6bo!

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Re: apgsearch: a high-performance soup searcher

Post by Extrementhusiast » October 12th, 2014, 7:03 pm

Natural reaction that generates an extremely unusual 24-bitter:

Code: Select all

x = 31, y = 37, rule = B3/S23
9b2o$9b2o2$9b2o$9b2o2$b2o$obo$2o10$3bo$2bobo$2bobo5bo$3bo5bobo$9bobo$
10bo11b2o$21b2o$22bo$28b3o9$3b2o$3b2o!
All blocks can be replaced with appropriately-positioned gliders.
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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 12th, 2014, 7:26 pm

Extrementhusiast wrote:Natural reaction that generates an extremely unusual 24-bitter... All blocks can be replaced with appropriately-positioned gliders.
Nice one. Might there be any hope of starting from the pre-traffic light at T=108 instead of that far-off R-pentomino?

Code: Select all

x = 21, y = 37, rule = B3/S23
5b2o$5b2o6$b2o$obo$2o8$b3o3bo$b3obo2bobo$2bo4b2ob3o$7b2o4b2o$8bobo3bo$
7b2ob5o$7b3o8b2o$17bo2bo$3b3o12b2o$3b2o$4b2o$4b2ob3o$4b2o2bo$5b3o$6bo
4$12b2o$12b2o!

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Re: apgsearch: a high-performance soup searcher

Post by NickGotts » October 13th, 2014, 11:45 am

Just trying apgsearch for the first time, and am getting a Python error. There's a stack ofcalls, but thew most recent is:

line 1247 in census
g.setrule("APG_CoalesceObjects_" + self.rg.alphanumeric)
RuntimeError: Given rule is not valid in any algorithm.

I have Python 2.7 installed. I've selected B3/S23. I've tried restarting Golly, two different versions of apgsearch (0.45 and 0.41), always get the same error. Anyone have any idea what the problem might be?

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 13th, 2014, 12:30 pm

NickGotts wrote:Just trying apgsearch for the first time, and am getting a Python error...
Well, I've never seen anything like this, but...

Your Python installation is probably fine, since the script has gotten to line 1247. For some reason, apgsearch seems to be unable to write the rule tables it needs to Golly's Rules folder. (Or else it can't find the rule file when it needs it, but that seems less likely.)

Try running (just File > Run Clipboard is fine) --

Code: Select all

import golly as g
g.note(g.getdir("rules"))
-- and see if you can figure out any reason why apgsearch might not be allowed to write to that directory on your system.

What OS are you running Golly on? (It's really nice not having to ask this except as an afterthought...!)

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Re: apgsearch: a high-performance soup searcher

Post by NickGotts » October 13th, 2014, 12:56 pm

dvgrn wrote:What OS are you running Golly on?
Ah, I think the problem was not the OS, but the version of Golly - I was inadvertenly running on 2.4 It seems to be working fine on 2.7b2-win-x64.

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Re: apgsearch: a high-performance soup searcher

Post by Kazyan » October 13th, 2014, 3:14 pm

dvgrn wrote:The minimal predecessor certainly looks promising (though I only know enough to be dangerous):

Code: Select all

x = 7, y = 13, rule = B3/S23
bo$bo$3bo$4b2o$2bob2o$obob2o$o3b2o$obob2o3$4bo$3bob2o$6bo!
Glider synthesis amateur hour:

Code: Select all

x = 42, y = 41, rule = B3/S23
2bo37bo$3bo34b2o$b3o35b2o$8bo2bobo$6bobo3b2o$7b2o3bo3$4bo$2bobo31bobo$
3b2o31b2o$37bo5$22bobo$23b2o$23bo$25bo$20b2o2bo$19b2o3b3o$21bo$16b2o$
17b2o$16bo7$39b2o$6bo32bobo$6b2o31bo$5bobo$2o$b2o9b3o$o13bo23b2o$13bo
24bobo$38bo!
EDIT: Now with 10 gliders instead of 15. Replaced snake-kludge with a block-based method. Could maybe be cut down to 9 if the Block + TL can be made in 3 gliders.

Code: Select all

x = 19, y = 23, rule = B3/S23
16bo$16bobo$bo5bo8b2o$2b2o4bo$b2o3b3o2$4bo$5bo$3b3o8bo$13bo$6b2o5b3o$
5bobo$2o5bo$b2o$o16bo$16b2o$16bobo3$7b2o$8b2o6bo$7bo7b2o$15bobo!
Tanner Jacobi

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Re: apgsearch: a high-performance soup searcher

Post by wildmyron » October 14th, 2014, 1:03 am

dvgrn wrote:I put this item on the To Do list:

Code: Select all

# TODO: extend the common-objects list further with top 1800 objects from
#       http://wwwhomes.uni-bielefeld.de/achim/ash-pattern.txt
I'm curious about what people think about radically extending the common-objects list in this way. I don't think this will make any noticeable difference in search speed, and it should give a better sense of when a search might possibly have turned up something that hasn't been seen before.
With the current list my observation is that a 10 million soup run will result in a large number of small objects which show up more than 5 times which aren't on the list, and also other objects which are on the list but only show up one or two times. Because the number of soupids recorded for a given object is determined by presence on the commonnames list, the rareobject soupids list is a bit lopsided and a very rare object which happens to show up twice may only have one soupid recorded.

Possible options:
* Adjust the commonnames list to only contain objects which have a reasonable probability of turning up in any single 1 million soup run
* Extend the dict to include a field which indicates rarity and use this to determine wether to save multiple soupids

Also, the commonnames list is very Life centric, and apgsearch is being used to search a range of rules. Some uncommon life objects will be common in other rules, and many objects which are very common in other rules but aren't supported in Life are of course missing. This suggests reading the common object list from a file which contains rule specific lists of objects. I also considered automating a way to determine rarity of objects in other rules and automatically keep track of the objects which are found to be common. I haven't implemented these ideas though due to a other projects.

A few other suggestions:

* Store the search version and the rule searched in the progress file:

Code: Select all

        # Header information:
        results = "@SEARCH apgsearch v0.4.5\n"
        results += "@MD5 " + md5root + "\n"
        results += "@ROOT " + root + "\n"
        results += "@NUM_SOUPS "+str(numsoups) + "\n"
        results += "@NUM_OBJECTS " + str(totobjs) + "\n"
        results += "@RULE " + self.rg.slashed + "\n"
        results += "\n"
You could check the rule used in post processing scripts such as get-high-bit-count-objs.py like this:

Code: Select all

for fn in fnlist:
  all = open(fn, 'r').read()
  for line in open(fn, 'r'):
    parts = line.split()
    if not parts:
      continue
    if (parts[0] == "@RULE"):
	  if parts[1] == "B3/S23":
	    continue
	  else:
	    break
    ...
* A few tab characters crept into v0.45 which messes up the indentation when tab length is not 8 spaces

* In my hashsoup.py script I return thesoup instead of putting it in the layer. If you do this, save_soup() can be simplified by replacing the rle generating code:

Code: Select all

    # Save soup RLE:
    def save_soup(self, root, soupnum):

        # Soup pattern will be stored in a temporary directory:
        souphash = hashlib.sha256(root + str(soupnum))
        rlepath = souphash.hexdigest()
        rlepath = g.getdir("temp") + rlepath + ".rle"
        
        results = "<a href=\"open:" + rlepath + "\">"
        results += root + str(soupnum)
        results += "</a>"

        thesoup = hashsoup(root + str(soupnum))

        try:
            g.store(thesoup, rlepath)
        except:
            g.warn("Unable to create soup pattern:\n" + rlepath)

        return results
The latest version of the 5S Project contains over 221,000 spaceships. Tabulated pages up to period 160 are available on the LifeWiki.

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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 14th, 2014, 10:10 am

wildmyron wrote:With the current list my observation is that a 10 million soup run will result in a large number of small objects which show up more than 5 times which aren't on the list, and also other objects which are on the list but only show up one or two times. Because the number of soupids recorded for a given object is determined by presence on the commonnames list, the rareobject soupids list is a bit lopsided and a very rare object which happens to show up twice may only have one soupid recorded.
Yes, 0.45 is definitely just a half-baked experiment in extending the common-names list. Clearly the number of soupIDs recorded for "rare" objects should be capped at some reasonable number: if ten or more soups are found in a given run, let's say, the object isn't rare any more (so it should have only one sample soupid listed).
wildmyron wrote:Also, the commonnames list is very Life centric, and apgsearch is being used to search a range of rules. Some uncommon life objects will be common in other rules, and many objects which are very common in other rules but aren't supported in Life are of course missing.
And the hacked version of apgsearch is _very_ Life-centric, because it will happily record hundreds or thousands of soup IDs for "rare" objects that are really very common in whatever Lifelike rule is being searched, making quite a mess of the census HTML and slowing down the census considerably with all the temporary files being written.

This is definitely worth fixing -- I'll probably put together a v0.46 in the next few days. Objects will be added to the common-names list (temporarily, for any given soup run) if ten or more of them are found; the "common name" will be simply the apgcode.

I'll probably throw all of Achim Flammenkamp's names into the common-names list, too, just as a continuation of the experiment. I've heard a rumor that apgsearch's proper author may be going through some kind of quantum phase transition about now (though those are notoriously hard to predict) and so may have enough time to roll the best of these ideas into an official 0.5 release.
wildmyron wrote:* A few tab characters crept into v0.45 which messes up the indentation when tab length is not 8 spaces
Fixed that just now and re-posted version 0.45 -- no other changes yet.

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Re: apgsearch: a high-performance soup searcher

Post by Extrementhusiast » October 19th, 2014, 9:11 pm

I don't really like how, if a rare object occurs in multiple soups, if it is named (e.g. mazing) only one soup is saved, but if it is unnamed, all soups are saved. Perhaps changing it to "save only the first N soups that have this object" for some N? (Or, just create a list of exemptions, or something to that effect.)
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Re: apgsearch: a high-performance soup searcher

Post by dvgrn » October 19th, 2014, 9:21 pm

Attached is an "official" version 0.5 of apgsearch that Calcyman sent along to me nearly a week ago. It's pretty much version 0.45 with some improvements to make it a little less Life-centric -- e.g., adding the rule string and version number to the progress file as wildmyron recommended. And now we get (up to) ten sample soupids for every object found, also saved to the progress file.

I've run the new version for several days and have seen no new problems. It's definitely an improvement on my hacked version in several respects -- high time to make it available.
apgsearch-2014-10-14-v0.5.zip
apgsearch script version 0.5 -- ten soupids saved per object
(19.89 KiB) Downloaded 492 times
At some point I still might extend the common-names list to include Achim Flammenkamp's still-life and oscillator names, but that's not a very high priority for me at the moment.

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