## slmake

For scripts to aid with computation or simulation in cellular automata.
calcyman
Posts: 2719
Joined: June 1st, 2009, 4:32 pm

### slmake

Apparently there wasn't a thread for slmake discussion, so I've created one.

After more than a year of inactivity, there have been several major improvements over the last few days:
• Firstly, and most importantly, slmake is considerably faster, especially when building large, dense constructions. It has no difficulty building the ECCA (4943 cells), completing both the construction and the defragmentation within 3 hours.
• A diagonal sweep-line sort order is used, so it prefers to construct objects closest to the source of slow gliders (which will be most accessible), thereby avoiding wasting time attempting to construct inaccessible objects. (The exception to this is that bespoke objects are prioritised above everything else; maybe I should try disabling that?)
• A recursive approach is used, where slmake dynamically identifies subproblems during construction and restricts attention to those. This both improves performance and means that less defragmentation is required at the end. Subproblems correspond to an obelisk-shaped convex region, with thick walls of empty space and slightly tapered boundaries to help ensure that the construction does not interfere with objects outside the subproblem.
• slmake now saves a progress file after every step. This will be called currentN.mc where N is the recursion depth (0 if it's handling the main problem, 1 for a subproblem, 2 for a subsubproblem, and so forth).
• In particular, at the end of construction there will be the raw non-defragmented slow-salvo recipe in current0.mc. (This only includes the construction, not the movement of the initial hand block.)
The instructions in Dave's excellent LifeWiki tutorial still apply.
What do you do with ill crystallographers? Take them to the mono-clinic!

calcyman
Posts: 2719
Joined: June 1st, 2009, 4:32 pm

### Re: slmake

As of the latest commit, some new features have been added to slmake:
• The slow salvo is saved to defragmented.mc, which is useful if you want the slow salvo but not the single-channel construction.
• For slow-salvo constructions, the base period has been increased from p2 to p8, with added bespoke syntheses for the Blocker and Figure 8 oscillators. In particular, it can build both the p8 bouncer and p8 bumper in any orientation. [Note; period-8 support currently only applies to slow-salvo syntheses (defragmented.mc) rather than the single-channel construction (outfile.mc).] This means, for example, that Pavgran's DBCA can be built by slmake in a single pass.
• Bespoke syntheses have been generalised so that they can begin with an arbitrary seed rather than a block. This means that they're more usable in tighter situations, and in particular slmake can now construct a minimal-length non-welded Snark loop.
• Further speedups have been implemented, largely from parameter tweaks.
• The heuristic has been changed slightly so that it prefers using the strategy split rather than reduce where possible. This should result in more efficient slow-salvo constructions.
What do you do with ill crystallographers? Take them to the mono-clinic!

pipsqueek
Posts: 232
Joined: September 10th, 2022, 4:42 pm

### Re: slmake

This thread is very dry, but I'm having trouble compiling slmake. I'm on Mac and if I try to run slsparse.cpp, I get this error:

Code: Select all

Me@My-computer ~ % ./slsparse.cpp
(normal output)
Compiling...
clang: error: the clang compiler does not support '-march=native'
...compiled.
./slsparse.cpp: line 10: : command not found
Me@My-computer slmake %

I tried use x86_64 emulation, that solved the problem. but it causes another error.

Code: Select all

Me@My-computer slmake % arch -x86_64 ./slsparse.cpp
Ensuring lifelib is up-to-date...
Compiling...
ld: can't open output file for writing: , errno=2 for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
...compiled.
./slsparse.cpp: line 10: : command not found


How can I fix this issue? (I'm on MacOS M1)

Code: Select all

x=17,y=16,rule=B3/S23
3bo3bobo2bob2o$bobo4bo4b4o$bobo5bobo2b3o$b2obob2o3b2o$3o4b2ob2o2b2o$4b o4bo$4b2obobob2ob3o$3ob3o2b2o$b3o2bobobo5bo$o3b2o3bobo2b2o$4bo3bob2o3b
o$2obo2bobobo2b2o$3b3o5bo2b2o$2obo4bo2bob2o$o3bob2obo3b2o$2bo8bobobo![[ STOP 3 GPS 4 ]]  calcyman Posts: 2719 Joined: June 1st, 2009, 4:32 pm ### Re: slmake pipsqueek wrote: January 1st, 2023, 3:46 pm This thread is very dry, but I'm having trouble compiling slmake. I'm on Mac and if I try to run slsparse.cpp, I get this error: Code: Select all Me@My-computer ~ % ./slsparse.cpp (normal output) Compiling... clang: error: the clang compiler does not support '-march=native' ...compiled. ./slsparse.cpp: line 10: : command not found Me@My-computer slmake %  I tried use x86_64 emulation, that solved the problem. but it causes another error. Code: Select all Me@My-computer slmake % arch -x86_64 ./slsparse.cpp Ensuring lifelib is up-to-date... Compiling... ld: can't open output file for writing: , errno=2 for architecture x86_64 clang: error: linker command failed with exit code 1 (use -v to see invocation) ...compiled. ./slsparse.cpp: line 10: : command not found  How can I fix this issue? (I'm on MacOS M1) That looks like it's trying to write to an empty file name, probably because you don't have readlink installed. Just try: Code: Select all arch -x86_64 g++ -std=c++11 -O3 -march=native -pedantic -Wall -Wextra "slsparse.cpp" -o "slsparse" -g and then run ./slsparse instead of ./slsparse.cpp What do you do with ill crystallographers? Take them to the mono-clinic! pipsqueek Posts: 232 Joined: September 10th, 2022, 4:42 pm ### Re: slmake I think I found a bug. I tried to make a snark with this pattern infile.mc: Code: Select all x = 28, y = 22, rule = B3/S23 3b2o$4bo$2bo$2b5o14b2o$7bo13bo$4b3o12bobo$3bo15b2o$3b4o$b2o3bo3b2o$o2b
3o4b2o$2obo$3bo$3b2o3$11b2o$12bo$9b3o13bo$9bo11b2obobo$21b2obo2bo$25bo bo$26bo!

towards the end of the recipe, it breaks the snark because it tries to push the block back but it forgot about the snark:

Code: Select all

x = 2894, y = 2888, rule = B3/S23
3b2o$4bo$2bo$2b5o14b2o$7bo13bo$4b3o12bobo$3bo15b2o$3b4o$b2o3bo3b2o$o2b 3o4b2o$2obo$3bo$3b2o3$11b2o$12bo$9b3o$9bo73$119b2o$119b2o6$117b2o$115b
2ob2o$114bo3bo$118bo$112bo4bo$111bo6bo7bo$111bobo3b3o6bo$110b3o2b2ob2o
bo$111bo7bo2bo$112bo7b3o4$129b2o$128bo2bo$129b2o$114bo$114bo$114bo14$136b3o$136bo$137bo21$160b2o$159b2o$161bo21$182b3o$182bo$183bo20$205b2o
$205bobo$205bo22$229b2o$228b2o$230bo21$251b3o$251bo$252bo20$275bo$274b
2o$274bobo33$309b2o$308b2o$310bo37$348b2o$348bobo$348bo22$372b2o$372bo bo$372bo21$394b3o$394bo$395bo28$424b3o$424bo$425bo20$448bo$447b2o$447b obo23$471b3o$471bo$472bo24$499bo$498b2o$498bobo21$521b2o$520b2o$522bo
20$544bo$543b2o$543bobo22$566b3o$566bo$567bo45$613b3o$613bo$614bo25$
641b2o$640b2o$642bo20$664bo$663b2o$663bobo22$686b3o$686bo$687bo20$710b o$709b2o$709bobo21$732b2o$731b2o$733bo22$755b3o$755bo$756bo20$779bo$778b2o$778bobo21$801b2o$801bobo$801bo33$835b3o$835bo$836bo37$875b2o$
874b2o$876bo22$899b2o$898b2o$900bo20$922bo$921b2o$921bobo28$952bo$951b 2o$951bobo21$974b2o$974bobo$974bo22$999bo$998b2o$998bobo25$1025b2o$
1025bobo$1025bo21$1047b3o$1047bo$1048bo20$1070b2o$1070bobo$1070bo21$
1094bo$1093b2o$1093bobo45$1141bo$1140b2o$1140bobo26$1167b3o$1167bo$
1168bo20$1190b2o$1190bobo$1190bo21$1214bo$1213b2o$1213bobo21$1236b2o$
1236bobo$1236bo21$1258b3o$1258bo$1259bo21$1283bo$1282b2o$1282bobo21$
1305b2o$1305bobo$1305bo21$1328b2o$1327b2o$1329bo32$1363bo$1362b2o$
1362bobo38$1401b3o$1401bo$1402bo22$1425b3o$1425bo$1426bo20$1448b2o$
1448bobo$1448bo28$1478b2o$1478bobo$1478bo21$1501b2o$1500b2o$1502bo22$
1525b2o$1525bobo$1525bo25$1552b2o$1551b2o$1553bo20$1575bo$1574b2o$
1574bobo21$1597b2o$1596b2o$1598bo21$1620b2o$1620bobo$1620bo45$1667b2o$
1667bobo$1667bo25$1695bo$1694b2o$1694bobo21$1717b2o$1716b2o$1718bo21$
1740b2o$1740bobo$1740bo21$1763b2o$1762b2o$1764bo20$1786bo$1785b2o$
1785bobo22$1809b2o$1809bobo$1809bo21$1832b2o$1831b2o$1833bo21$1854b3o$
1854bo$1855bo32$1889b2o$1889bobo$1889bo37$1929bo$1928b2o$1928bobo22$
1953bo$1952b2o$1952bobo21$1975b2o$1974b2o$1976bo28$2005b2o$2004b2o$
2006bo21$2027b3o$2027bo$2028bo22$2052b2o$2051b2o$2053bo25$2078b3o$
2078bo$2079bo20$2101b2o$2101bobo$2101bo21$2123b3o$2123bo$2124bo21$
2147b2o$2146b2o$2148bo45$2194b2o$2193b2o$2195bo25$2221b2o$2221bobo$
2221bo21$2243b3o$2243bo$2244bo21$2267b2o$2266b2o$2268bo21$2289b3o$
2289bo$2290bo20$2313bo$2312b2o$2312bobo21$2335b2o$2334b2o$2336bo20$
2358bo$2357b2o$2357bobo21$2381bo$2380b2o$2380bobo21$2403b2o$2402b2o$
2404bo22$2426b3o$2426bo$2427bo20$2450bo$2449b2o$2449bobo41$2492b2o$
2491b2o$2493bo20$2515bo$2514b2o$2514bobo21$2537b2o$2536b2o$2538bo21$
2559b3o$2559bo$2560bo20$2583bo$2582b2o$2582bobo23$2607b2o$2606b2o$
2608bo21$2629b3o$2629bo$2630bo20$2653bo$2652b2o$2652bobo21$2675b2o$
2674b2o$2676bo25$2702b2o$2702bobo$2702bo21$2725b2o$2724b2o$2726bo21$
2749bo$2748b2o$2748bobo21$2771b2o$2771bobo$2771bo21$2794b2o$2793b2o$
2795bo21$2817b2o$2816b2o$2818bo20$2840bo$2839b2o$2839bobo28$2869b2o$
2869bobo$2869bo21$2891b3o$2891bo$2892bo!

this can be fixed by putting the block farther away, but I don't think its supposed to do that

Code: Select all

x=17,y=16,rule=B3/S23
3bo3bobo2bob2o$bobo4bo4b4o$bobo5bobo2b3o$b2obob2o3b2o$3o4b2ob2o2b2o$4b o4bo$4b2obobob2ob3o$3ob3o2b2o$b3o2bobobo5bo$o3b2o3bobo2b2o$4bo3bob2o3b
o$2obo2bobobo2b2o$3b3o5bo2b2o$2obo4bo2bob2o$o3bob2obo3b2o$2bo8bobobo![[ STOP 3 GPS 4 ]]  dvgrn Moderator Posts: 9557 Joined: May 17th, 2009, 11:00 pm Location: Madison, WI Contact: ### Re: slmake pipsqueek wrote: January 2nd, 2023, 6:32 pm I tried to make a snark with this pattern infile.mc: Code: Select all x = 28, y = 22, rule = B3/S23 3b2o$4bo$2bo$2b5o14b2o$7bo13bo$4b3o12bobo$3bo15b2o$3b4o$b2o3bo3b2o$o2b
3o4b2o$2obo$3bo$3b2o3$11b2o$12bo$9b3o13bo$9bo11b2obobo$21b2obo2bo$25bo bo$26bo!

Yeah, slmake is designed to produce slow salvo recipes that can come from infinity, and it's assumed that that's effectively what they do. There's no error-checking code in slsparse that even tries to worry about whether the single-channel recipe will produce explosions that modify the constructed object, at any stage of the construction.

It's not easy to fix this, or even to define clearly what slmake's expected behavior should be in this case. You might say the expected behavior is that the user should move the block-and-mango to a safe distance and run slsparse again. So this is not so much a bug as a "known limitation that most likely will never be removed, unless you fix it yourself and contribute the patch to slmake".

calcyman
Posts: 2719
Joined: June 1st, 2009, 4:32 pm

### Re: slmake

I've added a new edgy synthesis for the eater-bridge-eater still-life, which works in two orientations:

Code: Select all

x = 105, y = 28, rule = B3/S23
9bo85bo$8bobo83bobo$7bo2bo2b2o75b2o2bo2bo$8b2o3b2o75b2o3b2o2$31b2o39b
2o$31b2o39b2o$2o101b2o$2o101b2o2$20bo59bo$20bo59bo$20bo59bo3$22bo59bo$
22bo59bo$22bo59bo8$41bo59bo$40b2o58b2o$40bobo57bobo!
There's also a one-glider seed for Coe's p8. Together with the new eater-bridge-eater syntheses, we can now construct Kazyan's phase-agnostic p8 glider reflector in all orientations. Here's a demonstration (building a p624 eight-barrelled glider gun), which I would have tightened up were it not for the fact that Dave's recipe minimiser doesn't work with p8 ash intermediates:

Code: Select all

x = 106953, y = 214937, rule = B3/S23
2o$2o26$32b2o$31b2o$33bo125$162b2o$161b2o$163bo126$282b2o$281b2o$283bo
126$416b2o$415b2o$417bo127$547b3o$547bo$548bo126$678b2o$677b2o$679bo 127$813b3o$813bo$814bo125$949b3o$949bo$950bo126$1076b3o$1076bo$1077bo
125$1217bo$1216b2o$1216bobo127$1352b3o$1352bo$1353bo126$1479b3o$1479bo
$1480bo125$1620bo$1619b2o$1619bobo127$1755b3o$1755bo$1756bo126$1882b3o
$1882bo$1883bo125$2023bo$2022b2o$2022bobo127$2158b3o$2158bo$2159bo126$2275b3o$2275bo$2276bo126$2408b3o$2408bo$2409bo125$2518bo$2517b2o$2517b obo126$2627bo$2626b2o$2626bobo126$2736bo$2735b2o$2735bobo127$2846b2o$2846bobo$2846bo126$2974b2o$2974bobo$2974bo126$3090b2o$3089b2o$3091bo
126$3220b2o$3220bobo$3220bo125$3356b2o$3356bobo$3356bo127$3466b2o$
3466bobo$3466bo126$3603b2o$3603bobo$3603bo125$3733b2o$3733bobo$3733bo 126$3861b2o$3861bobo$3861bo126$3999b2o$3998b2o$4000bo126$4117b2o$4117b obo$4117bo127$4235b2o$4235bobo$4235bo125$4365b2o$4365bobo$4365bo126$4489b2o$4489bobo$4489bo126$4619b2o$4619bobo$4619bo127$4739b2o$4738b2o$4740bo125$4861b2o$4861bobo$4861bo127$5013b2o$5013bobo$5013bo125$5124b
2o$5123b2o$5125bo127$5248b2o$5247b2o$5249bo126$5368b2o$5367b2o$5369bo
125$5524b2o$5523b2o$5525bo126$5644b2o$5643b2o$5645bo128$5751b3o$5751bo
$5752bo125$5889b3o$5889bo$5890bo126$6025bo$6024b2o$6024bobo126$6146b2o
$6145b2o$6147bo125$6280b2o$6279b2o$6281bo126$6402b2o$6401b2o$6403bo
126$6518b2o$6517b2o$6519bo126$6656b2o$6655b2o$6657bo128$6777b3o$6777bo
$6778bo125$6911b3o$6911bo$6912bo126$7036b3o$7036bo$7037bo126$7166b3o$7166bo$7167bo126$7297b3o$7297bo$7298bo127$7403b3o$7403bo$7404bo125$7531b3o$7531bo$7532bo126$7660b3o$7660bo$7661bo125$7794bo$7793b2o$7793b obo127$7909b3o$7909bo$7910bo126$8032b3o$8032bo$8033bo126$8157b3o$8157b o$8158bo125$8290bo$8289b2o$8289bobo127$8412b3o$8412bo$8413bo126$8537b 3o$8537bo$8538bo125$8670bo$8669b2o$8669bobo127$8792b3o$8792bo$8793bo 126$8923b3o$8923bo$8924bo126$9051b3o$9051bo$9052bo125$9185bo$9184b2o$
9184bobo127$9315b3o$9315bo$9316bo126$9430b3o$9430bo$9431bo126$9543b3o$
9543bo$9544bo126$9661b3o$9661bo$9662bo125$9822b2o$9821b2o$9823bo126$
9943b2o$9942b2o$9944bo126$10078b2o$10077b2o$10079bo128$10202b3o$10202b o$10203bo126$10320b3o$10320bo$10321bo126$10446b3o$10446bo$10447bo126$10577b3o$10577bo$10578bo126$10712b3o$10712bo$10713bo126$10823b3o$
10823bo$10824bo126$10950b3o$10950bo$10951bo126$11084b3o$11084bo$11085b o124$11221b2o$11220b2o$11222bo128$11346b3o$11346bo$11347bo126$11474b3o
$11474bo$11475bo124$11622b2o$11621b2o$11623bo128$11757b3o$11757bo$
11758bo126$11888b3o$11888bo$11889bo126$12023b3o$12023bo$12024bo126$12151b3o$12151bo$12152bo126$12268b3o$12268bo$12269bo126$12404b3o$
12404bo$12405bo126$12523b3o$12523bo$12524bo126$12658b3o$12658bo$12659b o126$12769b3o$12769bo$12770bo124$12899b2o$12898b2o$12900bo126$13034b2o
$13033b2o$13035bo126$13143b2o$13142b2o$13144bo128$13278b3o$13278bo$
13279bo124$13414b2o$13413b2o$13415bo126$13545b2o$13544b2o$13546bo128$13661b3o$13661bo$13662bo126$13795b3o$13795bo$13796bo124$13930b2o$
13929b2o$13931bo126$14065b2o$14064b2o$14066bo126$14184b2o$14183b2o$14185bo126$14329b2o$14328b2o$14330bo126$14456b2o$14455b2o$14457bo126$
14585b2o$14584b2o$14586bo128$14708b3o$14708bo$14709bo126$14835b3o$14835bo$14836bo126$14961b3o$14961bo$14962bo124$15106b2o$15105b2o$
15107bo126$15226b2o$15225b2o$15227bo128$15353b3o$15353bo$15354bo124$15469b2o$15468b2o$15470bo126$15608b2o$15607b2o$15609bo128$15734b3o$
15734bo$15735bo126$15854b3o$15854bo$15855bo125$16028b2o$16028bobo$16028bo126$16152b2o$16152bobo$16152bo125$16270b2o$16270bobo$16270bo 127$16404b2o$16403b2o$16405bo125$16534b2o$16533b2o$16535bo126$16652b2o
$16651b2o$16653bo127$16794b2o$16793b2o$16795bo126$16925b3o$16925bo$
16926bo126$17049b3o$17049bo$17050bo126$17195b3o$17195bo$17196bo125$17322bo$17321b2o$17321bobo127$17438b3o$17438bo$17439bo126$17563b3o$
17563bo$17564bo127$17691b3o$17691bo$17692bo126$17823b3o$17823bo$17824b o126$17943b3o$17943bo$17944bo126$18072b3o$18072bo$18073bo125$18202bo$18201b2o$18201bobo127$18338b3o$18338bo$18339bo125$18477b3o$18477bo$
18478bo127$18600b3o$18600bo$18601bo125$18719bo$18718b2o$18718bobo126$18848bo$18847b2o$18847bobo126$18961b2o$18961bobo$18961bo126$19090b2o$
19090bobo$19090bo126$19226b2o$19226bobo$19226bo126$19349b2o$19349bobo$19349bo126$19492bo$19491b2o$19491bobo126$19630b2o$19630bobo$19630bo 127$19749b3o$19749bo$19750bo126$19880b3o$19880bo$19881bo126$20015b3o$20015bo$20016bo126$20137b3o$20137bo$20138bo126$20270b3o$20270bo$20271b
o126$20398b3o$20398bo$20399bo126$20525b3o$20525bo$20526bo126$20648b3o$
20648bo$20649bo126$20786b3o$20786bo$20787bo126$20905b3o$20905bo$20906b o126$21030b3o$21030bo$21031bo126$21151b3o$21151bo$21152bo125$21297bo$21296b2o$21296bobo127$21428b3o$21428bo$21429bo124$21547bo$21546b2o$
21546bobo126$21672bo$21671b2o$21671bobo126$21792bo$21791b2o$21791bobo
126$21922b2o$21922bobo$21922bo126$22067b2o$22067bobo$22067bo126$22183b o$22182b2o$22182bobo126$22312bo$22311b2o$22311bobo126$22452bo$22451b2o
$22451bobo126$22580bo$22579b2o$22579bobo126$22702b2o$22702bobo$22702bo 126$22841b2o$22841bobo$22841bo127$22979b2o$22979bobo$22979bo126$23107b
2o$23107bobo$23107bo126$23229b2o$23229bobo$23229bo126$23367b2o$23367bo bo$23367bo125$23497b2o$23497bobo$23497bo126$23615b2o$23615bobo$23615bo
126$23715b2o$23714b2o$23716bo127$23837bo$23836b2o$23836bobo126$23962bo$23961b2o$23961bobo126$24098bo$24097b2o$24097bobo126$24225bo$24224b2o$24224bobo126$24355bo$24354b2o$24354bobo126$24478bo$24477b2o$24477bobo 126$24608b2o$24608bobo$24608bo125$24735b2o$24734b2o$24736bo127$24871b
2o$24870b2o$24872bo125$24981b2o$24980b2o$24982bo128$25122b3o$25122bo$
25123bo124$25255b2o$25254b2o$25256bo127$25370b3o$25370bo$25371bo125$25495b2o$25494b2o$25496bo127$25630b2o$25629b2o$25631bo126$25750bo$
25749b2o$25749bobo126$25886bo$25885b2o$25885bobo126$26016bo$26015b2o$26015bobo126$26125bo$26124b2o$26124bobo126$26263b2o$26263bobo$26263bo 126$26396b2o$26396bobo$26396bo126$26539b2o$26539bobo$26539bo126$26657b
o$26656b2o$26656bobo126$26782b2o$26782bobo$26782bo125$26920bo$26919b2o$26919bobo126$27051bo$27050b2o$27050bobo126$27179bo$27178b2o$27178bobo
126$27292b2o$27292bobo$27292bo126$27421b2o$27421bobo$27421bo127$27548b o$27547b2o$27547bobo126$27673bo$27672b2o$27672bobo126$27809bo$27808b2o
$27808bobo126$27931bo$27930b2o$27930bobo126$28055b2o$28055bobo$28055bo 126$28200bo$28199b2o$28199bobo126$28323b2o$28323bobo$28323bo126$28441b
o$28440b2o$28440bobo126$28563bo$28562b2o$28562bobo127$28736b3o$28736bo$28737bo126$28867b3o$28867bo$28868bo126$29002b3o$29002bo$29003bo126$29122b3o$29122bo$29123bo126$29243b3o$29243bo$29244bo126$29373b3o$
29373bo$29374bo125$29529b2o$29529bobo$29529bo126$29653b2o$29653bobo$29653bo126$29777b2o$29776b2o$29778bo126$29895b2o$29894b2o$29896bo126$
30021b2o$30021bobo$30021bo125$30153b2o$30153bobo$30153bo127$30285b2o$30285bobo$30285bo126$30411b2o$30411bobo$30411bo126$30524b2o$30523b2o$
30525bo125$30648b2o$30647b2o$30649bo126$30788b2o$30787b2o$30789bo127$30902b2o$30901b2o$30903bo126$31022b2o$31021b2o$31023bo125$31150b2o$
31150bobo$31150bo127$31276b2o$31276bobo$31276bo126$31402b2o$31402bobo$31402bo125$31526b2o$31526bobo$31526bo127$31660b2o$31660bobo$31660bo 125$31768b2o$31768bobo$31768bo126$31904b2o$31903b2o$31905bo127$32032b
2o$32032bobo$32032bo126$32152b2o$32152bobo$32152bo125$32282b2o$32282bo bo$32282bo126$32408b2o$32408bobo$32408bo128$32585b3o$32585bo$32586bo
125$32716b2o$32715b2o$32717bo126$32844b2o$32843b2o$32845bo125$32978b2o$32977b2o$32979bo126$33108b2o$33107b2o$33109bo127$33226b2o$33225b2o$33227bo126$33353b3o$33353bo$33354bo126$33471b3o$33471bo$33472bo126$
33603b3o$33603bo$33604bo126$33739b3o$33739bo$33740bo125$33869bo$33868b 2o$33868bobo127$33985b3o$33985bo$33986bo125$34107bo$34106b2o$34106bobo
126$34237bo$34236b2o$34236bobo127$34374b3o$34374bo$34375bo126$34502b3o$34502bo$34503bo125$34652b2o$34651b2o$34653bo127$34822b3o$34822bo$34823bo127$34942b3o$34942bo$34943bo126$35073b3o$35073bo$35074bo126$
35196b3o$35196bo$35197bo126$35339b3o$35339bo$35340bo126$35449b3o$35449bo$35450bo126$35577b3o$35577bo$35578bo125$35725b2o$35724b2o$
35726bo125$35855b2o$35854b2o$35856bo126$35991b2o$35990b2o$35992bo127$36110b3o$36110bo$36111bo125$36241b2o$36240b2o$36242bo127$36382b2o$
36382bobo$36382bo126$36502b2o$36502bobo$36502bo126$36644b2o$36644bobo$36644bo125$36770b2o$36770bobo$36770bo126$36916b2o$36916bobo$36916bo 126$37042b2o$37042bobo$37042bo126$37160b2o$37160bobo$37160bo127$37290b
o$37289b2o$37289bobo126$37422bo$37421b2o$37421bobo126$37551b2o$37551bo bo$37551bo126$37676bo$37675b2o$37675bobo126$37803bo$37802b2o$37802bobo
126$37933bo$37932b2o$37932bobo126$38077b2o$38077bobo$38077bo126$38198b 2o$38198bobo$38198bo126$38333b2o$38333bobo$38333bo125$38426b2o$38426bo
bo$38426bo126$38544b2o$38544bobo$38544bo127$38690b2o$38690bobo$38690bo 126$38808b2o$38808bobo$38808bo126$38946b2o$38946bobo$38946bo125$39074b
2o$39074bobo$39074bo127$39204b2o$39204bobo$39204bo126$39324b2o$39324bo bo$39324bo126$39450bo$39449b2o$39449bobo126$39571bo$39570b2o$39570bobo
126$39705bo$39704b2o$39704bobo126$39825bo$39824b2o$39824bobo126$39957b o$39956b2o$39956bobo126$40089bo$40088b2o$40088bobo126$40225b2o$40225bo
bo$40225bo126$40345bo$40344b2o$40344bobo126$40477bo$40476b2o$40476bobo 126$40614b2o$40614bobo$40614bo126$40727b2o$40727bobo$40727bo126$40870b
o$40869b2o$40869bobo126$40990b2o$40990bobo$40990bo126$41122b2o$41122bo bo$41122bo126$41271b2o$41270b2o$41272bo127$41364b3o$41364bo$41365bo
126$41489b3o$41489bo$41490bo125$41618bo$41617b2o$41617bobo127$41753b3o$41753bo$41754bo125$41879bo$41878b2o$41878bobo126$42014bo$42013b2o$42013bobo125$42134b2o$42133b2o$42135bo126$42254b2o$42253b2o$42255bo 127$42400b2o$42399b2o$42401bo126$42528b2o$42527b2o$42529bo125$42654b2o
$42653b2o$42655bo126$42782b2o$42781b2o$42783bo127$42897b3o$42897bo$
42898bo126$43045b3o$43045bo$43046bo125$43139b2o$43138b2o$43140bo126$43267b2o$43266b2o$43268bo128$43389b3o$43389bo$43390bo126$43520b3o$
43520bo$43521bo126$43648b3o$43648bo$43649bo125$43780bo$43779b2o$43779b obo127$43893b3o$43893bo$43894bo125$44030bo$44029b2o$44029bobo127$
44148b3o$44148bo$44149bo126$44276b3o$44276bo$44277bo126$44418b3o$44418bo$44419bo126$44541b3o$44541bo$44542bo125$44670bo$44669b2o$44669b
obo126$44792bo$44791b2o$44791bobo126$44933b2o$44932b2o$44934bo126$45053b2o$45052b2o$45054bo126$45181b2o$45180b2o$45182bo125$45307b2o$
45306b2o$45308bo126$45451b2o$45450b2o$45452bo127$45579b2o$45578b2o$45580bo126$45695b2o$45694b2o$45696bo125$45851b2o$45850b2o$45852bo127$
45958bo$45957b2o$45957bobo126$46072b3o$46072bo$46073bo126$46201b2o$46200b2o$46202bo125$46327b2o$46326b2o$46328bo128$46458b3o$46458bo$
46459bo126$46578b3o$46578bo$46579bo125$46716b3o$46716bo$46717bo126$46842b2o$46841b2o$46843bo125$46966b2o$46965b2o$46967bo127$47100b2o$
47099b2o$47101bo125$47212b2o$47211b2o$47213bo127$47337b3o$47337bo$47338bo126$47489b3o$47489bo$47490bo126$47618b2o$47617b2o$47619bo125$
47728b2o$47727b2o$47729bo127$47888b3o$47888bo$47889bo127$48018b3o$48018bo$48019bo126$48144b3o$48144bo$48145bo125$48267b3o$48267bo$48268b
o126$48399b3o$48399bo$48400bo126$48526b3o$48526bo$48527bo126$48653b3o$
48653bo$48654bo126$48774b2o$48774bobo$48774bo126$48902b2o$48902bobo$48902bo126$49024b2o$49023b2o$49025bo126$49146b2o$49145b2o$49147bo126$
49284b2o$49284bobo$49284bo125$49404b2o$49403b2o$49405bo126$49540b2o$49539b2o$49541bo127$49670b2o$49670bobo$49670bo125$49806bo$49805b2o$
49805bobo126$49931bo$49930b2o$49930bobo126$50054b2o$50054bobo$50054bo
126$50192b2o$50192bobo$50192bo126$50320b2o$50320bobo$50320bo126$50453b o$50452b2o$50452bobo126$50553b2o$50553bobo$50553bo128$50684b3o$50684bo
$50685bo126$50812b3o$50812bo$50813bo126$50933b3o$50933bo$50934bo126$
51056b3o$51056bo$51057bo126$51181b3o$51181bo$51182bo125$51314bo$51313b 2o$51313bobo127$51436b3o$51436bo$51437bo126$51561b3o$51561bo$51562bo
125$51694bo$51693b2o$51693bobo126$51842bo$51841b2o$51841bobo126$51972b 3o$51972bo$51973bo126$52103b3o$52103bo$52104bo126$52231b3o$52231bo$52232bo126$52370b3o$52370bo$52371bo126$52480b3o$52480bo$52481bo126$
52602b3o$52602bo$52603bo125$52737bo$52736b2o$52736bobo127$52857b3o$52857bo$52858bo126$52980b3o$52980bo$52981bo126$53071bo$53070b2o$53070b
obo126$53196bo$53195b2o$53195bobo126$53336b2o$53336bobo$53336bo126$53453b2o$53453bobo$53453bo126$53571b2o$53571bobo$53571bo126$53699bo$
53698b2o$53698bobo126$53847b2o$53847bobo$53847bo126$53964bo$53963b2o$53963bobo126$54104b2o$54104bobo$54104bo126$54233bo$54232b2o$54232bobo 125$54362bo$54361b2o$54361bobo126$54491bo$54490b2o$54490bobo126$54605b
2o$54605bobo$54605bo126$54701b2o$54701bobo$54701bo126$54816b2o$54816bo bo$54816bo127$54934b2o$54934bobo$54934bo126$55070b2o$55070bobo$55070bo
126$55173b2o$55173bobo$55173bo125$55303b2o$55303bobo$55303bo126$55423b 2o$55423bobo$55423bo127$55555b2o$55555bobo$55555bo126$55693b2o$55693bo
bo$55693bo126$55825b2o$55825bobo$55825bo125$55955b2o$55954b2o$55956bo 126$56071b2o$56071bobo$56071bo126$56209b2o$56209bobo$56209bo128$56350b
3o$56350bo$56351bo126$56482b3o$56482bo$56483bo126$56608b3o$56608bo$
56609bo126$56742b3o$56742bo$56743bo125$56881bo$56880b2o$56880bobo127$57007b3o$57007bo$57008bo126$57117b3o$57117bo$57118bo126$57269b3o$
57269bo$57270bo125$57387b3o$57387bo$57388bo126$57519b3o$57519bo$57520b o126$57643b3o$57643bo$57644bo125$57794bo$57793b2o$57793bobo126$57947b
2o$57947bobo$57947bo126$58077bo$58076b2o$58076bobo126$58205bo$58204b2o$58204bobo126$58337b2o$58337bobo$58337bo126$58466b2o$58466bobo$58466bo
126$58595b2o$58595bobo$58595bo126$58710b2o$58710bobo$58710bo126$58841b 2o$58841bobo$58841bo126$58971b2o$58971bobo$58971bo128$59084b3o$59084bo
$59085bo126$59209b3o$59209bo$59210bo126$59333b3o$59333bo$59334bo126$
59462b3o$59462bo$59463bo126$59599b3o$59599bo$59600bo125$59721bo$59720b 2o$59720bobo127$59842b3o$59842bo$59843bo126$59977b3o$59977bo$59978bo
126$60113b3o$60113bo$60114bo124$60260b2o$60259b2o$60261bo126$60388b2o$
60387b2o$60389bo128$60515b3o$60515bo$60516bo124$60640b2o$60639b2o$60641bo128$60793b3o$60793bo$60794bo126$60925b3o$60925bo$60926bo125$
61050b2o$61049b2o$61051bo127$61177b3o$61177bo$61178bo126$61278b3o$61278bo$61279bo126$61408b3o$61408bo$61409bo126$61531b3o$61531bo$61532b
o126$61648b3o$61648bo$61649bo126$61787b3o$61787bo$61788bo125$61919bo$
61918b2o$61918bobo127$62044b3o$62044bo$62045bo125$62182bo$62181b2o$62181bobo127$62328b3o$62328bo$62329bo126$62459b3o$62459bo$62460bo126$
62589b3o$62589bo$62590bo126$62712b3o$62712bo$62713bo125$62841bo$62840b 2o$62840bobo126$62980bo$62979b2o$62979bobo127$63106b3o$63106bo$63107bo
126$63222b3o$63222bo$63223bo126$63348b3o$63348bo$63349bo126$63484b3o$
63484bo$63485bo126$63606b3o$63606bo$63607bo126$63741b3o$63741bo$63742b o126$63870b3o$63870bo$63871bo125$64008bo$64007b2o$64007bobo126$64120bo
$64119b2o$64119bobo126$64250bo$64249b2o$64249bobo125$64376b2o$64376bob o$64376bo127$64504b2o$64504bobo$64504bo125$64634b2o$64633b2o$64635bo
127$64764b2o$64764bobo$64764bo125$64888b2o$64888bobo$64888bo127$65022b 2o$65022bobo$65022bo125$65152b2o$65152bobo$65152bo127$65270b2o$65269b
2o$65271bo125$65398b2o$65397b2o$65399bo127$65499bo$65498b2o$65498bobo 127$65634b3o$65634bo$65635bo126$65755b3o$65755bo$65756bo126$65886b3o$65886bo$65887bo126$66014b3o$66014bo$66015bo125$66143bo$66142b2o$66142b
obo127$66257b3o$66257bo$66258bo125$66402bo$66401b2o$66401bobo127$66512b3o$66512bo$66513bo125$66673b2o$66672b2o$66674bo126$66791b2o$
66790b2o$66792bo125$66923b2o$66922b2o$66924bo127$67057b2o$67056b2o$67058bo126$67175b2o$67174b2o$67176bo127$67306b3o$67306bo$67307bo125$
67434b3o$67434bo$67435bo127$67554b3o$67554bo$67555bo126$67683b3o$67683bo$67684bo125$67817bo$67816b2o$67816bobo126$67928bo$67927b2o$
67927bobo125$68055b2o$68054b2o$68056bo127$68187b2o$68186b2o$68188bo
126$68324b3o$68324bo$68325bo126$68450b3o$68450bo$68451bo126$68569b2o$
68568b2o$68570bo125$68685b2o$68684b2o$68686bo127$68812b3o$68812bo$68813bo126$68964b3o$68964bo$68965bo125$69122bo$69121b2o$69121bobo126$
69240bo$69239b2o$69239bobo126$69371bo$69370b2o$69370bobo126$69503bo$69502b2o$69502bobo126$69629bo$69628b2o$69628bobo126$69754bo$69753b2o$
69753bobo126$69903b2o$69903bobo$69903bo126$70030b2o$70030bobo$70030bo
126$70120b2o$70120bobo$70120bo126$70240b2o$70240bobo$70240bo126$70368b 2o$70368bobo$70368bo127$70514b2o$70514bobo$70514bo125$70636b2o$70636bo
bo$70636bo126$70758b2o$70758bobo$70758bo127$70886b2o$70886bobo$70886bo 125$71012b2o$71012bobo$71012bo127$71160b2o$71160bobo$71160bo125$71280b
2o$71279b2o$71281bo127$71398b2o$71398bobo$71398bo126$71532b2o$71532bob o$71532bo126$71650b2o$71650bobo$71650bo125$71776b2o$71776bobo$71776bo
128$71920b3o$71920bo$71921bo126$72049b3o$72049bo$72050bo126$72181b3o$
72181bo$72182bo126$72299b3o$72299bo$72300bo126$72432b3o$72432bo$72433b o125$72566bo$72565b2o$72565bobo126$72686b3o$72686bo$72687bo126$72817b
3o$72817bo$72818bo125$72975bo$72974b2o$72974bobo126$73106bo$73105b2o$
73105bobo126$73241bo$73240b2o$73240bobo126$73368bo$73367b2o$73367bobo
126$73492bo$73491b2o$73491bobo126$73618b2o$73618bobo$73618bo126$73741b o$73740b2o$73740bobo127$73858bo$73857b2o$73857bobo126$73977b3o$73977bo
$73978bo125$74107b2o$74107bobo$74107bo127$74217b2o$74217bobo$74217bo 127$74377b3o$74377bo$74378bo126$74506b3o$74506bo$74507bo125$74634b2o$74634bobo$74634bo126$74762b2o$74762bobo$74762bo125$74894b2o$74893b2o$
74895bo126$75016b2o$75016bobo$75016bo126$75134b2o$75134bobo$75134bo
127$75282b2o$75281b2o$75283bo126$75406b2o$75406bobo$75406bo126$75537b 2o$75537bobo$75537bo126$75661b2o$75661bobo$75661bo126$75781b2o$75781bo
bo$75781bo126$75905b2o$75905bobo$75905bo126$76033b2o$76033bobo$76033bo 126$76160b2o$76159b2o$76161bo125$76290b2o$76289b2o$76291bo126$76410b2o
$76409b2o$76411bo126$76544b2o$76543b2o$76545bo127$76675b3o$76675bo$
76676bo126$76788b2o$76787b2o$76789bo126$76919b3o$76919bo$76920bo125$77058b2o$77057b2o$77059bo126$77192b2o$77191b2o$77193bo127$77330b3o$
77330bo$77331bo126$77469b3o$77469bo$77470bo126$77587b3o$77587bo$77588b o125$77691b2o$77690b2o$77692bo127$77817b2o$77816b2o$77818bo126$77937b
2o$77936b2o$77938bo126$78076b3o$78076bo$78077bo126$78180b3o$78180bo$
78181bo126$78331b2o$78330b2o$78332bo126$78458b3o$78458bo$78459bo125$78573b2o$78572b2o$78574bo127$78704b2o$78703b2o$78705bo126$78832b2o$
78831b2o$78833bo126$78947b3o$78947bo$78948bo126$79088b2o$79087b2o$79089bo126$79195b3o$79195bo$79196bo126$79323b3o$79323bo$79324bo125$
79450bo$79449b2o$79449bobo127$79580b3o$79580bo$79581bo126$79715b3o$79715bo$79716bo125$79845b2o$79844b2o$79846bo127$79971b2o$79970b2o$
79972bo126$80099b2o$80098b2o$80100bo126$80234b3o$80234bo$80235bo126$80357b2o$80356b2o$80358bo126$80488b3o$80488bo$80489bo126$80625b2o$
80624b2o$80626bo126$80755b2o$80754b2o$80756bo125$80879b2o$80878b2o$80880bo126$81007b2o$81006b2o$81008bo126$81145b2o$81144b2o$81146bo127$
81245bo$81244b2o$81244bobo126$81335b3o$81335bo$81336bo126$81460b3o$81460bo$81461bo126$81588b3o$81588bo$81589bo126$81706b3o$81706bo$81707b
o125$81817b2o$81816b2o$81818bo127$81949b2o$81948b2o$81950bo126$82086b 3o$82086bo$82087bo126$82212b3o$82212bo$82213bo126$82331b2o$82330b2o$82332bo125$82447b2o$82446b2o$82448bo127$82574b3o$82574bo$82575bo127$
82691b3o$82691bo$82692bo126$82822b3o$82822bo$82823bo126$82950b3o$82950bo$82951bo125$83079bo$83078b2o$83078bobo127$83193b3o$83193bo$
83194bo125$83338bo$83337b2o$83337bobo127$83441b3o$83441bo$83442bo126$83578b3o$83578bo$83579bo126$83704b3o$83704bo$83705bo126$83831b3o$
83831bo$83832bo124$83967b2o$83967bobo$83967bo127$84093b2o$84093bobo$84093bo126$84213b2o$84213bobo$84213bo126$84277b3o$84277bo$84278bo126$
84395b3o$84395bo$84396bo126$84533b3o$84533bo$84534bo126$84676b3o$84676bo$84677bo126$84808b3o$84808bo$84809bo125$84947bo$84946b2o$84946b
obo127$85059b3o$85059bo$85060bo125$85203bo$85202b2o$85202bobo126$85334bo$85333b2o$85333bobo126$85464bo$85463b2o$85463bobo126$85594bo$
85593b2o$85593bobo128$85721b3o$85721bo$85722bo126$85849b3o$85849bo$85850bo126$85991b3o$85991bo$85992bo126$86105b3o$86105bo$86106bo126$
86230b3o$86230bo$86231bo126$86361b3o$86361bo$86362bo125$86491bo$86490b 2o$86490bobo125$86626b2o$86625b2o$86627bo126$86746b2o$86745b2o$86747bo
126$86872b2o$86871b2o$86873bo127$87018b2o$87017b2o$87019bo125$87132b2o$87131b2o$87133bo126$87254b2o$87253b2o$87255bo127$87374b2o$87373b2o$87375bo126$87498b2o$87497b2o$87499bo126$87654b2o$87654bobo$87654bo126$
87778b2o$87778bobo$87778bo125$87918b2o$87917b2o$87919bo127$88028b2o$88027b2o$88029bo126$88150b2o$88150bobo$88150bo126$88282b2o$88282bobo$
88282bo125$88408b2o$88408bobo$88408bo126$88545b2o$88544b2o$88546bo126$88677b2o$88676b2o$88678bo126$88813b2o$88812b2o$88814bo127$88913b2o$
88912b2o$88914bo126$89049b2o$89048b2o$89050bo126$89198b3o$89198bo$89199bo125$89325b2o$89324b2o$89326bo127$89463b2o$89462b2o$89464bo125$
89573b2o$89572b2o$89574bo127$89719b2o$89718b2o$89720bo126$89851b2o$89850b2o$89852bo126$89970b3o$89970bo$89971bo127$90100b3o$90100bo$
90101bo125$90236b2o$90236bobo$90236bo126$90356b2o$90356bobo$90356bo
126$90482b2o$90482bobo$90482bo125$90620b2o$90620bobo$90620bo126$90748b 2o$90748bobo$90748bo127$90864b2o$90863b2o$90865bo125$90984b2o$90983b2o
$90985bo127$91143b2o$91143bobo$91143bo126$91267b2o$91267bobo$91267bo 126$91391b2o$91390b2o$91392bo126$91509b2o$91508b2o$91510bo126$91635b2o
$91635bobo$91635bo125$91767b2o$91767bobo$91767bo127$91899b2o$91899bobo$91899bo126$92025b2o$92025bobo$92025bo126$92198b3o$92198bo$92199bo125$92341bo$92340b2o$92340bobo126$92473bo$92472b2o$92472bobo126$92599bo$
92598b2o$92598bobo126$92733bo$92732b2o$92732bobo126$92851b2o$92851bobo
$92851bo126$92996bo$92995b2o$92995bobo126$93123b2o$93123bobo$93123bo 127$93209b3o$93209bo$93210bo126$93330b3o$93330bo$93331bo126$93475b3o$93475bo$93476bo126$93604b3o$93604bo$93605bo126$93726b3o$93726bo$93727b
o125$93845bo$93844b2o$93844bobo127$93976b3o$93976bo$93977bo126$94104b 3o$94104bo$94105bo125$94277b2o$94277bobo$94277bo127$94413b2o$94413bobo
$94413bo126$94533b2o$94533bobo$94533bo125$94647b2o$94647bobo$94647bo 127$94783b2o$94783bobo$94783bo126$94901b2o$94901bobo$94901bo125$95033b
2o$95033bobo$95033bo127$95183b2o$95183bobo$95183bo125$95307b2o$95307bo bo$95307bo127$95429b2o$95429bobo$95429bo125$95567b2o$95567bobo$95567bo
126$95687b2o$95687bobo$95687bo126$95809bo$95808b2o$95808bobo126$95947b o$95946b2o$95946bobo126$96068bo$96067b2o$96067bobo126$96205b2o$96205bo
bo$96205bo126$96325b2o$96325bobo$96325bo126$96450bo$96449b2o$96449bobo 126$96579bo$96578b2o$96578bobo126$96706b2o$96706bobo$96706bo126$96806b
2o$96806bobo$96806bo127$96932b2o$96932bobo$96932bo126$97060b2o$97060bo bo$97060bo126$97188b2o$97187b2o$97189bo125$97328b2o$97328bobo$97328bo
126$97440b2o$97439b2o$97441bo127$97580b2o$97580bobo$97580bo125$97706b 2o$97706bobo$97706bo126$97832b2o$97832bobo$97832bo127$97960b2o$97960bo
bo$97960bo125$98096b2o$98095b2o$98097bo126$98220b2o$98219b2o$98221bo 128$98339b3o$98339bo$98340bo126$98493b3o$98493bo$98494bo125$98610b2o$98609b2o$98611bo126$98727b3o$98727bo$98728bo126$98865b3o$98865bo$
98866bo126$98979b3o$98979bo$98980bo125$99122b2o$99121b2o$99123bo127$99217b3o$99217bo$99218bo126$99363bo$99362b2o$99362bobo126$99501bo$
99500b2o$99500bobo126$99622bo$99621b2o$99621bobo126$99753bo$99752b2o$99752bobo126$99888bo$99887b2o$99887bobo126$99991b2o$99991bobo$99991bo 126$100122b2o$100122bobo$100122bo126$100246b2o$100246bobo$100246bo126$
100386b2o$100386bobo$100386bo126$100512b2o$100512bobo$100512bo126$
100641b2o$100640b2o$100642bo125$100777b2o$100776b2o$100778bo127$
100897b2o$100896b2o$100898bo126$101015b2o$101014b2o$101016bo126$
101126b3o$101126bo$101127bo127$101292b3o$101292bo$101293bo124$101417b
2o$101416b2o$101418bo127$101545b2o$101544b2o$101546bo126$101684b3o$101684bo$101685bo126$101811b2o$101810b2o$101812bo125$101929b2o$101928b 2o$101930bo127$102056b3o$102056bo$102057bo125$102203b2o$102203bobo$
102203bo127$102341b2o$102341bobo$102341bo125$102463b2o$102463bobo$
102463bo127$102601b2o$102601bobo$102601bo125$102727b2o$102727bobo$
102727bo127$102853b2o$102853bobo$102853bo126$102967b2o$102967bobo$
102967bo125$103091b2o$103091bobo$103091bo127$103217b2o$103216b2o$
103218bo126$103361b2o$103361bobo$103361bo126$103462b3o$103462bo$
103463bo126$103594b3o$103594bo$103595bo125$103729bo$103728b2o$103728bo
bo127$103846b3o$103846bo$103847bo126$103978b3o$103978bo$103979bo126$104101b3o$104101bo$104102bo125$104248b2o$104247b2o$104249bo126$104372b 2o$104371b2o$104373bo128$104499b3o$104499bo$104500bo124$104624b2o$
104623b2o$104625bo128$104765b3o$104765bo$104766bo126$104879b3o$104879b
o$104880bo124$105008b2o$105007b2o$105009bo127$105155b3o$105155bo$105156bo125$105289bo$105288b2o$105288bobo126$105414bo$105413b2o$105413bobo126$105550bo$105549b2o$105549bobo126$105665b2o$105665bobo$105665bo126$105801b2o$105801bobo$105801bo126$105933b2o$105933bobo$105933bo127$106022b2o$106022bobo$106022bo125$106156b2o$106156bobo$106156bo127$106268b2o$106268bobo$106268bo125$106394b2o$106394bobo$106394bo126$106528b2o$106528bobo$106528bo126$106666b2o$106665b2o$106667bo126$106790b2o$106790bobo$106790bo126$106918b2o$106918bobo$106918bo127$106951b2o$106950b2o$106952bo107894$76b3o$75bo2bo$78bo$74bo
3bo$78bo$75bobo!
What do you do with ill crystallographers? Take them to the mono-clinic!

Hippo.69
Posts: 52
Joined: July 14th, 2020, 7:35 pm

### Re: slmake

slmake/slsparse is a fantastic tool. I have run it o consruct my DBCA and it went through it without an intervention.
... I have tought a bit about its usage (when minimizing size of the salvo is imporant) and I would like it to be able to work with "parametrized life objects".
When you build a "cuircuit", often most of the constelations have their fixed position you want to maintain, but some still lifes could be put in several places fulfilling the same task. ... Especially eaters required at ends of glider lines.
I am aware this could be difficult to generalize to configurations consisting from more stilllifes as eater5(tub with tail) or 2 blocks LWSS eater.

Currently I would like it especially for for eater1 ... to just specify glider directed line segment where an eater should consume gliders specifying both flips of the eater are fine would be even better.

Similarly for starting block position of the arm just the line is important, but positioning it after the arm is started has some small cost.
Specifying block is required in this diagonal line segment, preferable close to given position would be nice.

I understand the "input language" should be adjusted, and the splitting to subproblems would be more complicated, but even short line segments variability could possibly allow more efficient recepies. I hope the spliting to subproblems could work with "position of the object fixed", but the final part when the recepie for the object is seleced the variability could help to select cheaper recepie.

(Similarly tub/boat in CC semi-snark you do not mind which one to use ... but in this time you could predict tub would be cheaper so no good reason for variability.)

-------------------
Another tought considers starting configuration specification of the search. You have allowed starting block position to be set in life, what had problems for close positions to stilllifes so Lifehistory could be used for block in proximity with them. Even overlapping is solved this way.

I wish I could specify staring configuration by other still lifes as well (boat) ... actually I would like to say boat in this orientation is on this vertical line (may be with other constraints ...)

... OK this is probably not that important ... I would probably start with "optimal block start", make table of block position "glider distances" from it and boat to block distances ... so chosing rather good starting boat position is rather cheap.
-------------------
OK ... I can see any generalisation which comes to my mind would not be "closed" and would lead to complications which are avoidable when the glider count in the recepie is not the main issue, but maybe some small push in indicated directions could be helpful in general.

calcyman
Posts: 2719
Joined: June 1st, 2009, 4:32 pm

### Re: slmake

Hippo.69 wrote:
February 19th, 2023, 6:34 am
slmake/slsparse is a fantastic tool. I have run it o consruct my DBCA and it went through it without an intervention.
... I have tought a bit about its usage (when minimizing size of the salvo is imporant)
Thanks!

In terms of minimising the salvo size, the most promising approach seems to be to use slmake to find a solution, and then have a separate postprocessing step which looks for optimisation opportunities in the slow salvo and reduces the cost until a fixed point is found. I experimented with this functionality a long time ago, and it did work, but it was very sluggish -- so I decided to disable this because in many cases people would prefer to have fast runtime than (say) a 10% smaller output salvo.
Hippo.69 wrote:
February 19th, 2023, 6:34 am
but some still lifes could be put in several places fulfilling the same task. ... Especially eaters required at ends of glider lines.
This should be doable, but it would involve a huge overhaul to the code: effectively the target would need to be stored as a set of 'components', where each component is represented as a set of alternatives.

Rather interestingly, this will help improve overall cost even if the input pattern has no alternatives: when we reduce it to a simpler pattern (e.g. by constructing an eater from a block), there may be multiple choices for this block. Effectively, we gain beam-search-like capabilities.
What do you do with ill crystallographers? Take them to the mono-clinic!

Hippo.69
Posts: 52
Joined: July 14th, 2020, 7:35 pm

### Re: slmake

I have not looked to insides of slmake, and i Hope I would not in near future ... but I have run it several times ... for the same configuration differing in starting block position it went with the starting block to the same position (almost always), but once the slow salvo from the same "restarting" position (defragmented) had population 44869 (8973 gliders), while in remaining reached population 44254. Than I shifted one eater by 1fd and I got population 44189. I have expected 0-5 gliders difference, but 13! ... in the context of blinker construction arm this is huge difference.
And the restarting box position differs ... (it is say 250,250 away from the shifted eater1).

dvgrn
Moderator
Posts: 9557
Joined: May 17th, 2009, 11:00 pm
Contact:

### Re: slmake

calcyman wrote:
February 19th, 2023, 8:58 am
Hippo.69 wrote:
February 19th, 2023, 6:34 am
but some still lifes could be put in several places fulfilling the same task. ... Especially eaters required at ends of glider lines.
This should be doable, but it would involve a huge overhaul to the code...
I've been thinking of this as a "technically solved" problem, given distributed searching resources or enough time: we can always just generate thousands of different infile.mc inputs, compile them, and see which one turns out to be cheapest. Granted it's a blunt implement at best, and enormously time-consuming compared to actually making good choices at each stage, but it would produce an answer eventually.

Something that wouldn't take such a major overhaul of the code would be to add a readout of the number of gliders in the final recipe -- though I guess these days that could be extracted from defragmented.mc fairly easily.

From looking at the recipes that slsparse produces, compared to hand-compiled construction recipes, it seems to me that the largest gains would come from tracking all instances where a glider is used to shoot down a piece of junk. The locations and junk types could all be tracked, and whenever a build stage is complete and a new target object is needed in a different location, that "virtual junk table" could be consulted and the nearest piece of virtual junk could be de-virtualized and moved into position.

Even if no shot-down junk is available, it's often quite cheap to take an existing block and split it into two blocks, with one of them in the original location, and use the other block as a new target.

Quite often this would prevent some very silly-looking decisions that slsparse currently makes, up to and including (in big recipes like the 0E0P metacell) building a whole new Cordership to re-create a faraway target object right next to a previous completed cluster.

Hippo.69
Posts: 52
Joined: July 14th, 2020, 7:35 pm

### Re: slmake

dvgrn wrote:
February 20th, 2023, 12:17 pm
calcyman wrote:
February 19th, 2023, 8:58 am
Hippo.69 wrote:
February 19th, 2023, 6:34 am
but some still lifes could be put in several places fulfilling the same task. ... Especially eaters required at ends of glider lines.
This should be doable, but it would involve a huge overhaul to the code...
I've been thinking of this as a "technically solved" problem, given distributed searching resources or enough time: we can always just generate thousands of different infile.mc inputs, compile them, and see which one turns out to be cheapest. Granted it's a blunt implement at best, and enormously time-consuming compared to actually making good choices at each stage, but it would produce an answer eventually.
Sure, this is actually what I am doing, but the complexity of this solution is too many orders of magnitude worse than it could be.

Wow, seems by moving one box by 1fd away from the pattern I have created configuration slmake fails on. It writes "3 objects of < 32 cells." with no progress for several hours. I am going to test the same pattern again to see if it hapens again. Oh I could post "current3.mc" (.rle has 15MB and rle.gz 4MB) ... at least next attempt did the same. It seems to me "precurse" is greedy algorithm when it finds something looking like a progress, it uses it.
Hashing total remaining population and avoiding continuation with the same total remaining population (and the same hash) could detect the problem, but step back would be required if no other continuation is find ...

Code: Select all

[M2] (lifelib ll2.5.5)
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.......*$......**$........$........$........$........$........$........$
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*.......$........$*.......$........$........$........$........$........$
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8 3100 3059 0 0
9 3089 3096 0 3101
5 0 2747 0 0
6 3103 0 0 0
7 0 3104 0 0
4 0 0 0 2715
5 0 3106 0 0
6 3107 0 0 0
7 0 3108 0 0
8 3105 0 0 3109
9 0 0 0 3110
10 3102 0 0 3111
11 0 3112 0 0
4 0 0 399 401
5 0 3114 0 0
6 3115 0 0 0
7 0 3116 0 0
8 3109 0 0 3117
4 0 0 0 2663
5 0 3119 0 0
6 3120 0 0 0
7 0 3121 0 0
4 0 0 0 2709
5 0 3123 0 0
6 3124 0 0 0
7 0 3125 0 0
8 3122 0 0 3126
9 3118 0 0 3127
8 3109 0 0 0
9 3129 0 0 0
10 3128 0 0 3130
11 0 0 3131 0
12 3081 0 3113 3132
....*...$...**...$...*.*..$........$........$........$........$........$
4 0 0 0 3134
5 0 3135 0 0
6 3136 0 0 0
7 0 3137 0 0
5 0 2584 0 0
5 2586 0 0 0
6 3139 3140 0 0
7 0 3141 0 0
8 3138 0 0 3142
4 0 0 0 2546
5 3144 0 0 0
6 0 3145 0 0
7 0 3146 0 0
4 0 0 2841 0
5 3148 0 0 0
6 0 3149 0 0
7 0 3150 0 0
8 3147 0 0 3151
9 3143 0 0 3152
...**...$...*.*..$...*....$........$........$........$........$........$
4 0 0 0 3154
5 0 3155 0 0
6 3156 0 0 0
7 0 3157 0 0
5 0 2657 0 0
6 3159 0 0 0
7 0 3160 0 0
8 3158 0 0 3161
9 3162 0 0 0
10 3153 0 0 3163
11 0 3164 0 0
12 0 3165 0 0
........$........$........$........$........$......**$......*.$.......*$
4 0 3167 0 0
5 0 0 0 3168
........$........$........$........$........$*.......$........$........$
4 3170 0 0 0
5 0 0 3171 0
6 3169 3172 0 0
7 0 3173 0 0
4 0 152 0 0
5 0 0 0 3175
6 3176 0 0 0
7 0 3177 0 0
8 3174 0 0 3178
........$........$........$........$.*......$**......$*.*.....$........$
4 0 3180 0 0
5 0 0 3181 0
6 0 3182 0 0
7 0 3183 0 0
........$........$........$........$......*.$.....**.$.....*.*$........$
4 3185 0 0 0
5 0 0 0 3186
6 3187 0 0 0
7 0 3188 0 0
8 3184 0 0 3189
9 3179 0 0 3190
4 158 0 0 0
5 0 0 3192 0
6 0 3193 0 0
7 0 3194 0 0
4 0 4 0 0
........$........$........$........$........$**......$........$*.......$
4 3197 0 0 0
5 0 0 3196 3198
6 0 3199 0 0
7 0 3200 0 0
8 3195 0 0 3201
9 3202 0 0 0
10 3191 0 0 3203
11 0 0 3204 0
4 0 0 3071 2246
5 0 0 0 3206
4 52 0 0 0
5 0 3208 0 0
6 3207 0 3209 0
7 0 3210 0 0
........$........$........$........$........$........$...***..$...*....$
4 0 0 3212 0
5 0 0 0 3213
6 3214 0 2298 0
7 0 3215 0 0
8 3211 0 0 3216
........$........$........$........$........$.*......$**......$*.*.....$
4 0 0 3218 0
5 0 0 3219 0
6 0 3220 0 0
7 0 3221 0 0
4 0 0 0 107
5 0 0 0 3223
5 0 2865 0 0
6 3224 0 3225 0
7 0 3226 0 0
8 3222 0 0 3227
9 3217 0 0 3228
5 0 0 3223 0
5 2865 0 0 0
6 3230 0 3231 0
7 0 3232 0 0
........$........$........$........$........$........$***.....$*.......$
4 0 0 0 3234
5 0 0 3235 0
5 485 0 0 0
6 3236 0 3237 0
7 0 3238 0 0
8 3233 0 0 3239
8 3227 0 0 0
9 3240 0 0 3241
10 3229 0 0 3242
11 0 3243 0 0
4 0 455 0 0
5 0 3245 0 0
4 428 0 0 0
5 3247 0 0 0
6 3246 3248 0 0
7 0 3249 0 0
8 3250 0 0 0
9 0 0 0 3251
4 0 0 4 3197
5 3253 0 0 0
6 0 0 0 3254
7 0 3255 0 0
5 153 0 0 0
6 0 0 0 3257
7 0 3258 0 0
8 3256 0 0 3259
9 0 0 0 3260
10 3252 0 0 3261
11 0 0 3262 0
12 3205 0 3244 3263
13 3133 0 3166 3264
........$........$........$........$........$.....***$.....*..$......*.$
4 0 0 3266 0
5 3267 0 0 0
6 0 0 0 3268
7 0 3269 0 0
5 159 0 0 0
6 0 0 0 3271
7 0 3272 0 0
8 3270 0 0 3273
9 3274 0 0 0
5 496 0 0 0
6 0 3276 0 0
7 3277 0 0 0
........$........$........$.......*$........$........$........$........$
........$........$**......$*.......$.*......$........$........$........$
4 0 0 3279 3280
5 3281 0 0 0
6 0 3282 0 0
7 3283 0 0 0
8 3278 0 0 3284
4 399 401 0 0
5 0 0 3286 0
6 0 3287 0 0
7 3288 0 0 0
5 68 0 0 0
6 0 3290 0 0
7 3291 0 0 0
8 3289 0 0 3292
9 3285 0 0 3293
10 3275 0 0 3294
11 0 3295 0 0
12 0 3296 0 0
13 0 3297 0 0
14 3048 3265 0 3298
15 0 3299 0 0
5 2601 0 0 0
6 0 3301 0 0
7 3302 0 0 0
4 0 0 310 312
5 3304 0 0 0
6 0 3305 0 0
7 3306 0 0 0
8 3303 0 0 3307
5 3114 0 0 0
6 0 3309 0 0
7 3310 0 0 0
8 3311 0 0 0
9 3308 0 0 3312
4 0 2320 0 0
5 0 3314 0 0
6 0 3315 0 0
7 3316 0 0 0
4 0 0 0 2320
5 0 3318 0 0
6 0 3319 0 0
7 3320 0 0 0
8 3317 0 0 3321
9 0 0 0 3322
10 3313 0 0 3323
........$........$........$........$........$........$........$....**..$
4 0 0 0 3325
5 0 0 0 3326
6 0 0 0 3327
7 0 0 3328 0
8 0 0 3329 0
9 0 0 3330 0
10 0 0 3331 0
11 0 0 3324 3332
...**...$.....*..$........$........$........$........$........$........$
4 0 3334 0 0
5 0 3335 0 0
6 0 3336 0 0
7 3337 0 0 0
4 0 2453 0 0
5 0 3339 0 0
6 0 3340 0 0
7 3341 0 0 0
8 3338 0 0 3342
...***..$...*....$....*...$........$........$........$........$........$
4 0 3344 0 0
5 0 3345 0 0
6 0 3346 0 0
7 3347 0 0 0
5 0 0 0 3318
6 0 0 0 3349
7 0 0 3350 0
8 3348 3351 0 0
9 3343 0 0 3352
4 0 3212 0 2296
5 0 0 0 3354
6 0 0 0 3355
7 0 0 3356 0
8 0 0 3357 0
9 0 0 3358 0
5 0 3175 0 0
6 0 3360 0 0
7 3361 0 0 0
8 0 0 0 3362
4 0 0 0 2313
5 0 0 0 3364
6 0 0 0 3365
7 0 0 3366 0
8 0 0 3367 0
5 0 0 0 3314
6 0 0 0 3369
7 0 0 3370 0
8 0 3371 0 0
9 3363 3368 0 3372
10 3353 3359 0 3373
11 0 3374 0 0
6 0 2742 0 0
7 0 3376 0 0
5 0 0 2730 0
6 0 3378 0 0
7 0 3379 0 0
8 3377 0 0 3380
9 0 0 0 3381
4 0 0 399 3004
5 0 0 3383 0
6 0 3384 0 0
7 0 3385 0 0
8 3386 0 0 0
9 3387 0 0 0
10 3382 0 0 3388
11 0 0 3389 0
12 3333 0 3375 3390
4 0 0 0 2459
5 0 3392 0 0
6 3393 0 0 0
7 3394 0 0 0
4 0 0 318 0
5 0 3396 0 0
6 3397 0 0 0
7 3398 0 0 0
8 3395 0 0 3399
6 2455 0 0 0
7 3401 0 0 0
6 0 2476 0 0
7 3403 0 0 0
8 3402 0 0 3404
9 3400 0 0 3405
5 0 2480 0 0
6 3407 0 0 0
7 3408 0 0 0
5 2499 0 0 0
6 0 3410 0 0
7 3411 0 0 0
8 3409 0 0 3412
........$........$..*.....$.**.....$.*.*....$........$........$........$
4 0 0 0 3414
5 3415 0 0 0
6 3416 0 0 0
7 3417 0 0 0
8 3418 0 0 0
9 3413 0 0 3419
10 3406 0 0 3420
11 0 3421 0 0
12 0 3422 0 0
........$........$........$........$........$........$......*.$.....**.$
.....*.*$........$........$........$........$........$........$........$
4 0 3424 0 3425
5 0 0 3426 0
6 3427 0 0 0
7 3428 0 0 0
........$........$........$........$........$........$...*....$..**....$
..*.*...$........$........$........$........$........$........$........$
4 0 3430 0 3431
5 0 0 3432 0
6 3433 0 0 0
7 3434 0 0 0
8 3429 0 0 3435
........$........$........$........$........$........$*.......$*.......$
4 425 3437 52 484
5 0 0 3438 0
6 3439 0 0 0
7 3440 0 0 0
........$........$........$........$........$........$.....*..$....**..$
....*.*.$........$........$........$........$........$........$........$
4 0 3442 0 3443
5 0 0 3444 0
6 3445 0 0 0
7 3446 0 0 0
8 3441 0 0 3447
9 3436 0 0 3448
........$........$........$........$........$........$.*......$**......$
*.*.....$........$........$........$........$........$........$........$
4 0 3450 0 3451
5 0 0 3452 0
6 3453 0 0 0
7 3454 0 0 0
........$........$........$........$........$........$.**.....$.*.*....$
4 0 3456 0 484
5 0 0 0 3457
6 3458 0 0 0
7 3459 0 0 0
8 3455 0 0 3460
........$........$........$........$........$........$.....**.$.....*.*$
.....*..$........$........$........$........$........$........$........$
4 3462 0 3463 0
5 0 0 0 3464
6 3465 0 0 0
7 3466 0 0 0
4 0 97 0 52
........$........$........$........$........$........$*.......$.*......$
4 3469 0 0 0
5 0 0 3468 3470
6 3471 0 0 0
7 3472 0 0 0
8 3467 0 0 3473
9 3461 0 0 3474
10 3449 0 0 3475
11 0 0 3476 0
5 0 0 0 616
6 3478 0 0 0
7 3479 0 0 0
8 3480 0 0 0
9 3481 0 0 0
........$........$........$........$........$.....**.$....**..$......*.$
4 0 3483 0 0
5 0 0 3484 0
6 3485 0 0 0
7 3486 0 0 0
4 0 278 0 281
5 0 0 3488 0
6 3489 0 0 0
7 3490 0 0 0
8 3487 0 0 3491
7 2947 0 0 0
4 0 0 0 2276
5 0 0 3494 0
6 3495 0 0 0
7 3496 0 0 0
8 3493 0 0 3497
9 3492 0 0 3498
10 3482 0 0 3499
11 0 3500 0 0
4 0 2619 0 0
5 0 0 3502 0
6 3503 0 0 0
7 3504 0 0 0
........$........$........$........$........$........$........$....***.$
....*...$.....*..$........$........$........$........$........$........$
4 0 3506 0 3507
5 3508 0 0 0
6 3509 0 0 0
7 3510 0 0 0
8 3505 0 0 3511
9 3512 0 0 0
4 0 0 512 513
5 0 0 3514 0
6 3515 0 0 0
7 3516 0 0 0
8 3517 0 0 3517
5 0 0 2804 0
6 3519 0 0 0
7 3520 0 0 0
4 0 0 513 0
5 0 0 2794 3522
6 3523 0 0 0
7 3524 0 0 0
8 3521 0 0 3525
9 3518 0 0 3526
10 3513 0 0 3527
11 0 0 3528 0
12 3477 0 3501 3529
13 3391 0 3423 3530
14 0 0 3531 0
........$........$........$........$........$........$........$......*.$
.....**.$.....*.*$........$........$........$........$........$........$
4 3533 0 3534 0
5 0 0 0 3535
6 3536 0 0 0
7 3537 0 0 0
4 0 26 512 43
5 0 0 0 3539
6 3540 0 0 0
7 3541 0 0 0
8 3538 0 0 3542
....***.$....*...$.....*..$........$........$........$........$........$
4 0 0 0 3544
5 0 0 3545 0
6 3546 0 0 0
7 3547 0 0 0
5 0 0 0 3514
6 0 3549 0 0
7 0 3550 0 0
8 3548 0 3551 0
9 3543 0 0 3552
10 3553 0 0 0
11 0 3554 0 0
12 0 3555 0 0
13 0 3556 0 0
14 3557 0 0 0
15 3532 0 3558 0
16 3021 0 3300 3559
17 3560 0 0 0
18 1707 0 1709 3561
19 3562 0 0 0
20 3563 0 0 0
21 1881 0 1885 3564
22 3565 0 0 0
23 3566 0 0 0
24 3567 0 0 0
25 2222 0 2226 3568
26 3569 0 0 0
27 2183 0 2190 3570
28 0 0 342 3571

Among 10 starting patterns with one block moved 1fd each time the salvo sizes differ by upto 128 gliders ... not counting the infinite soluion mentioned above. I bet it triggers totally different decompositions rather to slightly different recepies for the block.

Hmm, I cannot pretend I am not thinking about the process speedout. So far, I have defragmentation be a dummy process and and I have removed creating "perp" outputs. It seems perp "inputs" are either p1 or p2, but it does not work with p8 well anyways (linespec need 0..7 rather to EO, cocncat specification requires options 3-10) it seems to me concat has wrong order of streams to work well with desirate, but I can be wrong.
It seemed to me exportgouts could be helpfull, but p2/p8 issue prevented me to work on it (use it). The output.mc actually does not construct the pattern... I am not sure if it is just the p2/p8 issue or I am right with the concat.

I probably understand better and better the whole slsparse so maybe I will try my five cents in using the recepies and their conditioning, but traversing the implicit graph another way. Of course having alternatives in mind. I hope some information could be maintained among preiterate calls to precurse and neednot be exracted from the pattern each time. I hope the alternatives would be helpfull in guiding the "tree" strategy.
Too many alteratives would slow the search down, but shortening the tree branches could compensate it (a bit). I hope it will not be just a waste of time to work on it.

After positioning block on DBCA arm I got to 8800 gliders working recipe. Than I start experimented with south zigzag of reflectors and first position lead to 8686 gliders working recipe. I am still experimenting with its placement, but best of next 44 atempts given just 8694 gliders.
(I have just automated the slsparse invocation and result processing ... I have 16 places where parametrization could be changed so these experiments would take about a month ... so I will probably get plenty of time to experiment with slsparse).

I had added some debug outputs to slmake, and it seems to me for wide patterns it spends a lot of time finding first dimmer a rule can be applied to.
It is very efficient in finding split recepies, what is what should be invited. First "search change" I am going to make is to add a parameter ... where the last reduction appeared ... index of the dimmer. And I would "start search" from this position. I probably would add first round (for the case last reduction was split or bespoke) where only bespoke and split recepies would apply to hope to make efficient recepies. (First change could lead to speedup while the other probably to slow down).

Hmm, the 8686 is the best of all 80 attempts in given direction. And my version with sharing information among different runs of precurse still does not work. Hmm ... the updated program does something ... it is very good in finding splits fast, but the longmoves in the tree strategy ... I know at least about one bug. It could improve things.

OK, finally I got why saving dimers from previous precurse call is nonsense ... I have not understand that all nearby pairs are used, I have tought each monomer is presented just once (I like monomers penalisation ...). Maybe one could maintain clusters and recompute dimers based on the cluster change ... removing corresponding edges and adding edges to the new cluster that would require maintaining set of current cluster edges.
I bet it is not that much important as this time is majorised by tries of a lot of recipes. It could be worth trying to know what is first position on list worth to try again, but further clusters could prevent nearer clusters due to reaction envelope so this probably could not help.

It is hard to find a place for improvement ... maybe the spanning tree computaion? Would not Delanau triangulation be better starting graph? ... Oh isn't that what the sweeping does? It could be important as block repositioning importance is computed often. Maybe tree strategy should consider ("front line of" convex hull of remainder) as well for small number of blocks to prefere moving blocks forward, but ordering of dimmers probably cures such problems.

... and adding variant clusters would cause problems to dimerise or at least really complicate selection of recipes ... probably.

OK, I have swapped order of loops to prefere shorter salvos processing the clusters (as the cluster is among several dimers ... chosing first dimer neednot be the best choice). Let us see wha happens. ... hmm I have to penalize monomers, especially those built through 252 or 696.

Do I understand it well the increased bailout only changes block monomers processing? So trying other dimers is waste of time in such phases?
The budget used in state 0, rest in state 1 with small bailout, but processing the rest again with biger bailout is unnecessary. ...
adding if (initbail > 1) {continue;} above the budget cut test.

Hmm, again not only that the computation was much slower (not fully optimized yet), but the recipe was longer. The parameters are really well tuned... I am ready to resign in trying to find an improvement to slmake ... but I still have ideas to try ... the chunking strategy ... I would probably try to work with a bit biger chunks, but I would not finish precurse with a single block except the depth 0 (I would prefere sending cut edges on chunk/reminder boundary of spanning tree as parameters to recursion and consider them as "sources" for chunk MST used in tree srategy evaluation ... ending with number of blocks less or equal the number of these external edges). I would also limit the dimmers tested to those with x+y (+penalty) (sorting criteria) close to the same of the first dimmer. I would probably encouraged bespoke objects by negative penalty rather to putting them all to front.

I am thinking about replacing variants in the pattern at preiterate (with x+y in "active range") it could result in creating dimmers which would be easier to construct ... it requires the quick monomers processing is prevented out (by the penalties?) (may be for variant monomers the penalty should be increased (except at the end of variants cycle) ... it still requires dimerise should be able to detect a variant:().

Hmm ... I have implemented some form of variant search (cycling among variants in preiterate) ... and I got slightly worse result comparing to the record one (without the variant coosing) ... the tree strategy does not look optimal ...

... and this variant changing is rather risky ... to build a part of recepie in one variant and continue in another ... already built parts of pattern could prevent/force some variants ... so probably another death end ...

I am still using essencially the original slsparse, current record (tested) is 8568 gliders recipe.

Hippo.69
Posts: 52
Joined: July 14th, 2020, 7:35 pm

### Re: slmake

OK, finally I made a working slmake.h incorporating "modified tree strategy". First run took about 2/3 time of the previous version and it got 8348 gliders. (Previous record from some hundreds of tried configuraions was 8568).
(I took another path then variant search ...) ... I am used to prevent recursion whenever possible so I made some stack of variables ... and I let the code in recursive form, but using these ... it would definitely look differently if codded from scratch.

I definitely do not say it is well tested, but it definitely has potential:).

2nd. run took just 35 minues (and got 8442), (previous version times were 60, 54, 74, 89, 222, 61, 69, 66, 81, 225, 63, 63, 62, 64, ... minutes)

The parameters still require a bit of tuning. I have interrupted 3.rd run as "maxDepth should not increase so fast with bailout" ... problematic situation lead to finding a step further forward not solving the issue ... I have changed it to (150 + deep_bailout * 10). And the problematic situation was solved without so long "procrastination". ... Let us see what happens ... 8442. ... I am not sure the maxDepth should be increased at all. If we let it fixed, dimerise is not needed for initbail>1 and more importantly nonblock processing could be skipped for initbail>1. (Oh, there is wrong condition to skip processing dimers in state 1 ... initbail starts on 1 not 0...)

4th 8359 in 27 minutes.
5th 8288 in 44 minutes.

Seems after (150 + deep_bailout * 10) change the running times are in 25-45 minutes range so it looks like this version managed to "double the speed" while making smaller salvos.

Times in following tables are slightly affected by me watching you tube/other videos on the comp during the computation ... and I sometimes run two versions of slmake at the same time ... but one version consumes about 20% of CPU resources, so I hope it is fine .

Size/time ... orig-new ... maxDepth fixed150 ... max(7*k/2,12) rather 15
8686/61 ... 8346/25 ...
8718/54 ... 8346/26 ...
8568/74 ... 8312/<31 ...
8738/89 ... 8315/38 ...
8867/222 ... 8347/27 ...
8674/61 ... 8372/39 ...
8691/69 ... 8310/38 ... 8363/36
8589/66 ... 8344/33 ...
8692/81 ... 8311/43
8789/225 ... 8312/35
8616/63 ... 8395/66 ???
8616/63 ... ... 8326/51
8654/64 ... ... 8386/27
8593/64... ... 8436/34 ... 8276/<37?
8753/176 ... ... ... 8433/?
8737/104 ... ... ... /
8747/74 ... ... ... /

OK I am going to experiment with tree strategy more ... rather to wanting 15 improvement I want 4*k improvement. I hope to get even smaller recepies. (I have added "utilhash" to compute "util" easier way) ... and 4*k seems to be too restricted, I have reduced it to 7k/2. But it does too small moves ... so I have changed it to max(7k/2,12).

Situation is not that easy .
It could happen the greedy algorithm reaches position which it cannot solve. There were 3 bespoke objects among active dimers/monomers and the algorithm went to an infinite loop. This is why I have returned to version which increases maxdepth (slowly). This version went through the infile in about 2 hours, but it could be it was just lucky to avoid the position. (Increasing minchunkpop was not helpfull at all (I would probably change preiterate to stick in minpop .)

I will return to experiments with parametrisation ... may be the depth 150 does not allow to remove dimers which block bespoke processing from behind and increasing the depth to slightly bigger constant would solve the problem while allowing not to repeat already done tests (as it would work with the fixed active set during all calls).

The algorithm results rather stable results (for slowly changed infile) ...you can see the number of gliders produced by the original algorihm varied a lot (with few "lucky minimas"), while this version produced a lot of results near the minima. (It is still far from 8276 which one experimental version gave).

last results:
The problematic one as first:
8312/<125, 8386/30, 8328/30,8410/27, 8366/32, 8349/20, 8327/21, 8400/33, 8313/30, 8334/30, 8345/30, 8302/30, 8302/30, 8341/31, 8340/31,
8333/34, 8302/32.
---- changed to chunkminpop=8 ...

Code updated

Code: Select all

#pragma once

#include "../lifelib/pattern2.h"
#include "../lifelib/spantree.h"
#include "../lifelib/classifier.h"
#include "../lifelib/ssplit.h"
#include <set>
#include <cstdlib>
#include <sstream>
#include <algorithm>

#define MIN_EXCLUSION_SIZE 32

/*
* Functionality for constructing constellations of still-lifes.
*/

namespace apg {

/**
* Computes the period-8 envelope of a pattern
*/
pattern to_env(pattern x) {

pattern y = x;
pattern z = x;

for (int i = 0; i < 7; i++) {
z = z[1];
y += z;
}

return y;
}

std::vector<coords64> getccenters(std::vector<bitworld> clusters) {
std::vector<coords64> ccenters;
for (uint64_t i = 0; i < clusters.size(); i++) {
// Get bounding box:
int64_t bbox[4] = {0};
clusters[i].getbbox(bbox);
int64_t mx2 = bbox[0] * 2 + bbox[2] - 1;
int64_t my2 = bbox[1] * 2 + bbox[3] - 1;
coords64 m2(mx2, my2);
ccenters.push_back(m2);
}
return ccenters;
}

double stlength(pattern stell, std::vector<coords64> eccenters, classifier &cfier) {

bitworld env = to_env(stell).flatlayer(0);
bitworld live = stell.flatlayer(0);

std::vector<bitworld> clusters = cfier.getclusters(live, env, false);
std::vector<coords64> ccenters = getccenters(clusters);
const uint64_t ccenters_size = ccenters.size();

for(std::vector<coords64>::iterator it = eccenters.begin(); it != eccenters.end(); ++it) {
ccenters.push_back(*it);
}

dsds colours(ccenters_size+1);
std::vector<edge64> sgraph = spanning_graph(ccenters);

// Compute squared length of edges with an endpoint in stell:
std::vector<std::pair<int64_t, edge64> > sedges;
for (std::vector<edge64>::iterator it = sgraph.begin(); it != sgraph.end(); ++it) {
if ((it->first < ccenters_size)||(it->second < ccenters_size)) {
coords64 a = ccenters[it->first];
coords64 b = ccenters[it->second];
int64_t xdiff = a.first - b.first;
int64_t ydiff = a.second - b.second;
int64_t sqlength = (xdiff * xdiff) + (ydiff * ydiff);
sedges.push_back(std::make_pair(sqlength, *it));
}
}

// Sort edges into ascending order:
std::sort(sedges.begin(), sedges.end());

double length=0;
// Apply Kruskal's algorithm:
for (std::vector<std::pair<int64_t, edge64> >::iterator it = sedges.begin(); it != sedges.end(); ++it) {
uint64_t a = it->second.first;
uint64_t b = it->second.second;
bool internal=true;
if (a >= ccenters_size) { a = ccenters_size; internal=false;}
if (b >= ccenters_size) { b = ccenters_size; internal=false;} // vertices of extra has the same color
if (!colours.connected(a, b)) {
colours.merge(a, b);
if (internal) { length+= std::sqrt(it->first); }
}
}
return 0.5 * length;
}

pattern diagonalise(pattern inp) {
/*
* Create a diagonal line longer than the diameter of a pattern.
*/

int64_t bbox[4] = {0};
inp.getrect(bbox);

pattern diagonal(inp.getlab(), "o$bo$2bo$3bo$4bo$5bo$6bo$7bo$8bo$9bo$10bo$11bo$12bo$13bo$14bo$15bo!", inp.getrule()); for (uint64_t i = 4; i < 64; i++) { if (((1 << i) >= bbox[2]) && ((1 << i) >= bbox[3])) { break; } diagonal += diagonal(1 << i, 1 << i); } return diagonal; } pattern get_exclusions(pattern inpat, classifier &cfier) { auto lab = inpat.getlab(); pattern excl(lab, "", "b3s23"); bitworld live = inpat.flatlayer(0); std::vector<bitworld> clusters = cfier.getclusters(live, live, true); for (uint64_t i = 0; i < clusters.size(); i++) { if (clusters[i].population() >= MIN_EXCLUSION_SIZE) { excl += pattern(lab, lab->demorton(clusters[i], 1), "b3s23"); } } return excl; } uint64_t excluded_popcount(pattern inpat, classifier &cfier) { pattern excl = get_exclusions(inpat, cfier); return (inpat - excl).popcount((1 << 30) + 3); } pattern cell_lowerright(pattern inpat) { // Get a reasonably lower-right cell of an input pattern. bitworld bw = inpat.flatlayer(0); bw = bw.br1cell(); auto lab = inpat.getlab(); pattern brcell(lab, lab->demorton(bw, 1), inpat.getrule()); return brcell; } pattern bounding_hull(pattern x) { int64_t bbox[4] = {0}; x.getrect(bbox); pattern y(x.getlab(), "bbo$bo$o!", "b3s23"); y = y.shift(-1, -1); uint64_t p = bbox[2] + bbox[3]; while (p > 0) { p = p >> 1; y = y.convolve(y); } return x.convolve(y).subrect(bbox); } pattern get_isolated_block(pattern inpat) { auto lab = inpat.getlab(); pattern convrect(lab, lab->rectangle(-20, -20, 41, 41), "b3s23"); return inpat & cell_lowerright(inpat).convolve(convrect); } bool has_isolated_block(pattern inpat) { pattern x = get_isolated_block(inpat); int64_t bbox[4] = {0}; x.getrect(bbox); return (bbox[2] == 2) && (bbox[3] == 2); } pattern get_lowerright(pattern inpat, pattern inpat2, uint64_t minpop, int radius, classifier &cfier, pattern extra) { // Get a lower-right chunk of an input pattern. auto lab = inpat.getlab(); pattern convrect(lab, lab->rectangle(-radius, -radius, 2 * radius + 1, 2 * radius + 1), "b3s23"); pattern icell = cell_lowerright(inpat2); pattern diag = diagonalise(inpat); pattern sword(lab, "o$bo$2bo$3b2o$3b2o!", "b3s23"); for (int i = 0; i < 6; i++) { sword = sword.convolve(sword); } sword = sword.convolve(diag).convolve(convrect); pattern chunk(lab, "", "b3s23"); for (;;) { pattern newchunk = chunk + icell; while (chunk != newchunk) { chunk = newchunk & inpat; newchunk = bounding_hull(chunk).convolve(sword) & inpat; } pattern rempat = inpat - chunk; if (rempat.empty()) { break; } uint64_t epc = excluded_popcount(chunk, cfier); if (epc < minpop) { icell = icell.convolve(convrect); } else { std::cout << "\033[36;1mFound " << epc; std::cout << "-cell chunk; " << excluded_popcount(rempat, cfier); std::cout << " + " << extra.popcount((1 << 30) + 3); std::cout << " cells remain.\033[0m" << std::endl; break; } } return chunk; } std::vector<std::pair<int64_t,pattern>> dimerise(pattern stell, classifier &cfier, int64_t maxDepth) { /* * Find promising still-life pairs and individual still-lifes * which the compiler has a good chance of being able to build. */ /* dimers have monomer center distances at most 25\sqrt{2} so Manhattan distance at most 50 for a monomer A center of the most distance dimmer containing A is from center of A in Manhattan distance at most 25 We want A to be processed after last dimmer containing A so we should penalise A by Manhattan distance > 25 We use 2 points coordinates so the penalty should be > 50 (After that we try to reduce a tub or beehive to block, and other monomer than tub, beehive or block to tub, beehive or block) Monomer blocks are processed differently, we transform them to blocks, but we should try to improve a chance it will create dimmer to be processed. The heuristic trying to shorten (global) minimum spanning forest looks well as the most distant blocks tend to move towards the rest. moving block to Manhattan distance 36 is rather cheap, it seems to me they should be "invited to follow monomers" from around such a distance. */ const int64_t diPenalty = 0; // bespokePenalty=-80 const int64_t monoPenalty = 51; const int64_t blockPenalty = 120; std::vector<std::pair<int64_t,pattern>> sorted_dimers; //std::vector<std::vector<pattern> > sdimers; bitworld env = to_env(stell).flatlayer(0); bitworld live = stell.flatlayer(0); std::vector<bitworld> clusters = cfier.getclusters(live, env, true); std::vector<coords64> ccenters; std::set<std::pair<int64_t, edge64>> edgelist_sorted; for (uint64_t i = 0; i < clusters.size(); i++) { // Get bounding box: int64_t bbox[4] = {0}; clusters[i].getbbox(bbox); int64_t mx2 = bbox[0] * 2 + bbox[2] - 1; int64_t my2 = bbox[1] * 2 + bbox[3] - 1; coords64 m2(mx2, my2); ccenters.push_back(m2); // penalty to ensure that singleton blocks appear after everything else: int64_t pen = ((bbox[2] == 2) && (bbox[3] == 2)) ? blockPenalty : monoPenalty; edgelist_sorted.emplace(pen - 2*(mx2 + my2), edge64(i, i)); } std::vector<edge64> edgelist_unsorted = spanning_graph(ccenters); for (uint64_t i = 0; i < edgelist_unsorted.size(); i++) { edge64 edge = edgelist_unsorted[i]; int64_t x1 = ccenters[edge.first].first; int64_t y1 = ccenters[edge.first].second; int64_t x2 = ccenters[edge.second].first; int64_t y2 = ccenters[edge.second].second; if ((x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2) > 5000) { continue; } edgelist_sorted.emplace(diPenalty - (x1 + y1 + x2 + y2), edge); } lifetree_abstract<uint32_t>* lab = stell.getlab(); std::set<edge64> edgedump; int64_t priorityLimit = edgelist_sorted.begin()->first + maxDepth; uint64_t ActiveMonomers=0; for (auto it = edgelist_sorted.begin(); it != edgelist_sorted.end(); ++it) { if (it->first >= priorityLimit) {break;} edge64 edge = it->second; if (edge.first == edge.second) { // Include monomers: ActiveMonomers++; uint64_t i = edge.first; pattern monomer(lab, lab->demorton(clusters[i], 1), stell.getrule()); sorted_dimers.push_back(std::make_pair(it->first,monomer)); } else { // Include dimers: uint64_t idLo = (edge.first < edge.second) ? edge.first : edge.second; uint64_t idHi = (edge.first > edge.second) ? edge.first : edge.second; bitworld bw = clusters[edge.first]; bw += clusters[edge.second]; pattern dimer(lab, lab->demorton(bw, 1), stell.getrule()); edge64 newedge(idLo, idHi); if (edgedump.count(newedge) == 0) { sorted_dimers.push_back(std::make_pair(it->first,dimer)); edgedump.insert(newedge); } } } std::cout << "active dimers: " << sorted_dimers.size()-ActiveMonomers << " active monomers: " << ActiveMonomers << " maxDepth: " << maxDepth << std::endl; return sorted_dimers; } template <typename T> struct cgsalvo { std::vector<std::pair<T, char> > gliders; T dx; T dy; bool age; bool transpose; void glidermatch(pattern pat) { std::map<std::pair<int64_t, int64_t>, uint8_t> gmap; std::vector<pattern> matches; pattern a_glider(pat.getlab(), "3o$o$bo!", pat.getrule()); int64_t bbox[4] = {0}; for (uint64_t i = 0; i < 4; i++) { bitworld bw = pat.match(a_glider).flatlayer(0); a_glider = a_glider[1]; while (bw.population()) { bitworld onecell = bw.get1cell(); bw -= onecell; onecell.getbbox(bbox); int64_t lane = (bbox[0] - bbox[1]); uint8_t phase = (uint8_t) (((bbox[1] & 1) << 2) + i); gmap[std::pair<int64_t, int64_t>(bbox[0] + bbox[1], lane)] = phase; } } for (auto it = gmap.begin(); it != gmap.end(); ++it) { T lane = it->first.second; uint8_t phase = it->second; gliders.emplace_back(lane, phase); } } std::pair<pattern, pattern> frompattern(pattern pat) { int64_t bbox[4] = {0}; pattern fin = pat[1 << 20]; to_env(fin).getrect(bbox); pattern centred = pat(-bbox[0], -bbox[1]); fin = fin(-bbox[0], -bbox[1]); pattern target = centred & centred[8]; pattern gliders = centred - target; glidermatch(gliders); dx = 0; dy = 0; age = 0; transpose = 0; return std::pair<pattern, pattern>(target, fin); } void fromline(std::string line) { std::vector<std::string> colons = string_split(line, ':'); if (colons.size() >= 3) { std::string t = colons[colons.size() - 2]; std::vector<std::string> gstrings = string_split(t, ' '); for (uint64_t i = 0; i < gstrings.size(); i++) { std::string g = gstrings[i]; if (g != "") { char lastchar = g[g.length() - 1]; if ((lastchar == 'E') || (lastchar == 'O')) { T j = (std::stoll(g.substr(0, g.length() - 1)) - 1) / 2; gliders.emplace_back(j, ((lastchar == 'E') ? 0 : 1)); } } } std::string s = colons[colons.size() - 3]; std::replace(s.begin(), s.end(), '(', ' '); std::replace(s.begin(), s.end(), ')', ' '); std::replace(s.begin(), s.end(), ',', ' '); std::vector<std::string> hstrings = string_split(s, ' '); std::vector<std::string> hstrings2; for (uint64_t i = 0; i < hstrings.size(); i++) { std::string h = hstrings[i]; if (h != "") { hstrings2.push_back(h); } } if (hstrings2.size() == 3) { dx = std::stoll(hstrings2[0]); dy = std::stoll(hstrings2[1]); transpose = (hstrings2[2] == "T"); } std::string r = colons[colons.size() - 1]; if (r.find("o") != std::string::npos) { age = 1; } if (r.find("e") != std::string::npos) { age = 0; } } } }; struct cgfile { std::map<std::string, std::vector<std::vector<std::pair<std::string, cgsalvo<int16_t>>>>> sdata; std::set<std::string> btargets; void digestmc(std::string filename, lifetree_abstract<uint32_t> *lab) { pattern x(lab, filename); uint64_t period = x[1 << 20].ascertain_period(); std::cout << " -- " << filename << " has period " << period << "." << std::endl; for (uint64_t i = 0; i < period; i++) { for (uint64_t j = 0; j < 2; j++) { cgsalvo<int16_t> cg; std::pair<pattern, pattern> respair = cg.frompattern(x); std::string source = respair.first._string32(); std::string target = respair.second._string32(); btargets.insert(target); if (sdata[target].size() <= cg.gliders.size()) { sdata[target].resize(cg.gliders.size() + 1); } sdata[target][cg.gliders.size()].emplace_back(source, cg); x = x.transpose(); } x = x[1]; } } void readfile(std::string filename, lifetree_abstract<uint32_t> *lab, std::string rule) { std::ifstream f(filename); std::string line; std::string rlesofar; std::string target; std::string source; bool readingsrc = false; if (!f.good()) { return; } std::cout << "Reading file " << filename << "..." << std::endl; while (std::getline(f, line)) { if (line.empty()) { continue; } char c = line[0]; if ((c == ' ') || (c == '*')) { if (rlesofar != "") { rlesofar += "$"; }
rlesofar += line;
} else if (rlesofar != "") {
std::replace( rlesofar.begin(), rlesofar.end(), ' ', 'b');
std::replace( rlesofar.begin(), rlesofar.end(), '*', 'o');
rlesofar += "!";
// std::cout << rlesofar << std::endl;
pattern p(lab, rlesofar, rule);
if (readingsrc) { source = p._string32(); } else { target = p._string32(); }
rlesofar = "";
}

if (c == '-') {
if (line.find("Source") != std::string::npos) {
} else if (line.find("Target") != std::string::npos) {
}
} else if (rlesofar == "") {
cgsalvo<int16_t> cg;
cg.fromline(line);
if (cg.gliders.size() != 0) {
if (sdata[target].size() <= cg.gliders.size()) {
sdata[target].resize(cg.gliders.size() + 1);
}
sdata[target][cg.gliders.size()].emplace_back(source, cg);
}
}
}
std::cout << "..." << filename << " successfully read." << std::endl;
}
};

struct cghq {
/*
* Collection of slow-salvo recipes
*/

std::map<std::string, cgfile> cgfiles;
std::string rule;
lifetree_abstract<uint32_t> *lab;
uint64_t stat_bespoke=0, stat_deep=0, stat_tree=0, stat_split=0, stat_reduce=0;

uint64_t assertfile(std::string filename) {
if (cgfiles.count(filename) == 0) {
}
return cgfiles[filename].sdata.size();
}

void assertbespoke(std::string dirname) {
if (cgfiles.count(dirname) == 0) {
std::ifstream f(dirname + "/filelist.txt");
std::string line;
while (std::getline(f, line)) {
std::string filename = dirname + "/" + line;
cgfiles[dirname].digestmc(filename, lab);
}
}
}
std::vector<pattern> depthExtras;
std::vector<std::vector<coords64>> depthECCBoundary;
std::vector<std::vector<std::pair<int64_t,pattern>>> depthSDimers;
std::vector<pattern> depthavoid;
std::vector<std::uint64_t> depthnbespoke;
std::vector<std::double_t> depthStLen;

void preparedepth(uint64_t depth, pattern extra, pattern work, classifier &cfier) {
if (depthSDimers.size()==depth) {
std::vector<std::pair<int64_t,pattern>> empty;
depthSDimers.push_back(empty);
pattern dummy(lab,"",rule);
depthExtras.push_back(dummy);
std::vector<coords64> noccoords;
depthECCBoundary.push_back(noccoords);
depthavoid.push_back(dummy);
depthnbespoke.push_back(0);
depthStLen.push_back(1.1);
}
depthExtras[depth]=extra;
depthStLen[depth]=1.1;
std::vector<coords64> noccoords;
depthECCBoundary[depth] = noccoords;
pattern stell = work & work[8];

bitworld env = to_env(stell).flatlayer(0), live = stell.flatlayer(0);
std::vector<bitworld> sclusters = cfier.getclusters(live, env, false);

env = to_env(extra).flatlayer(0); live = extra.flatlayer(0);
std::vector<bitworld> eclusters = cfier.getclusters(live, env, false);

std::vector<coords64> sccenters,eccenters,accenters;
sccenters=getccenters(sclusters);
eccenters=getccenters(eclusters);

for (uint64_t i = 0; i < sccenters.size(); i++) {
accenters.push_back(sccenters[i]);
}

for (uint64_t i = 0; i < eccenters.size(); i++) {
accenters.push_back(eccenters[i]);
}

dsds colours(sccenters.size()+1);
std::vector<edge64> sgraph = spanning_graph(accenters);

// Compute squared length of edges with an endpoint in stell:
std::vector<std::pair<int64_t, edge64> > sedges;
for (std::vector<edge64>::iterator it = sgraph.begin(); it != sgraph.end(); ++it) {
if ((it->first < sccenters.size())||(it->second < sccenters.size())) {
coords64 a = accenters[it->first];
coords64 b = accenters[it->second];
int64_t xdiff = a.first - b.first;
int64_t ydiff = a.second - b.second;
int64_t sqlength = (xdiff * xdiff) + (ydiff * ydiff);
sedges.push_back(std::make_pair(sqlength, *it));
}
}

// Sort edges into ascending order:
std::sort(sedges.begin(), sedges.end());

// Apply Kruskal's algorithm:
std::set<uint64_t> eboundary;
for (std::vector<std::pair<int64_t, edge64> >::iterator it = sedges.begin(); it != sedges.end(); ++it) {
uint64_t a = it->second.first;
uint64_t b = it->second.second;
uint64_t e = 0;
if (a >= sccenters.size()) { e = a - sccenters.size(); a = sccenters.size(); }
if (b >= sccenters.size()) { e = b - sccenters.size(); b = sccenters.size(); } // vertices of extra has the same color
if (!colours.connected(a, b)) {
colours.merge(a, b);
if (e != 0) { eboundary.emplace(e); }
}
}

for(std::set<uint64_t> :: iterator it = eboundary.begin(); it != eboundary.end(); ++it) {
depthECCBoundary[depth].push_back(eccenters[*it]);
}

}

pattern precurse(pattern orig, classifier &cfier, int state, int initbail, int maxbail, uint32_t lastbail, int64_t *ideal, uint64_t depth) {

std::cout << "precurse " << state << " " << initbail << " " << maxbail << " " << lastbail << " " << ((ideal==0)?"0":"i") << " " << depthExtras[depth].popcount((1 << 30) + 3) << " " << depth << std::endl;

pattern stell = orig & orig[8];
pattern exsalvo = orig - stell;
pattern diagonal = diagonalise(stell);
pattern smallblock(lab, "2o$2o!", rule); pattern bigblock(lab, "4o$4o$4o$4o!", rule);

pattern sword = diagonal.convolve(bigblock);

uint64_t deep_bailout = initbail - 1;
uint64_t tree_bailout = initbail * 100;
int64_t maxDepth = 150 + deep_bailout * 10;

std::vector<std::pair<int64_t,pattern>> sorted_dimers;
uint64_t nbespoke;
pattern avoid(lab, "", rule);

if ((state==0)||(initbail>1)) {
const int64_t bespokePenalty = -80;
std::vector<std::pair<int64_t,pattern>> sorted_xdimers = dimerise(stell, cfier, maxDepth);

int64_t priorityLimit = sorted_xdimers .begin()->first + maxDepth;

for (auto it = cgfiles[datadir+"bespoke"].btargets.begin(); it != cgfiles[datadir+"bespoke"].btargets.end(); ++it) {
pattern sterm(lab, lab->_string32(*it), rule);
bitworld bw = stell.match(sterm).flatlayer(0);
while (bw.population()) {
int64_t bbox[4] = {0};
bitworld onecell = bw.get1cell();
bw -= onecell;
onecell.getbbox(bbox);
pattern subset = sterm(bbox[0], bbox[1]);
avoid += subset;
bitworld fsubset = subset.flatlayer(0);
fsubset.getbbox(bbox);
int64_t priority = bespokePenalty - 2*(bbox[0] * 2 + bbox[2] + bbox[1] * 2 + bbox[3] - 2);
if (priority<priorityLimit) {
sorted_dimers.push_back(std::make_pair(priority,subset));
}
}
}
nbespoke = sorted_dimers.size();
for (uint64_t i = 0; i < sorted_xdimers.size(); i++) {
if ((sorted_xdimers[i].second & avoid).empty()) {
sorted_dimers.push_back(sorted_xdimers[i]);
}
}
depthStLen[depth] = 1.1; //dummy ... not 0.0 yet
} else {
sorted_dimers=depthSDimers[depth];
avoid=depthavoid[depth];
nbespoke=depthnbespoke[depth];
}

if (state != 0) {
depthStLen[depth] = stlength(stell - avoid, depthECCBoundary[depth], cfier);
}

double stelllength = depthStLen[depth];

if ((depth>0)&&(stelllength<0.5)) {
std::cout << "\033[36;1mAlgorithm terminated with an opimal ST.\033[0m" << std::endl;
return orig;
}

pattern eglider(lab, "3o$o$bo!", rule);

int budget = (nbespoke>20) ? nbespoke + 10 : 30;

/*if (state != 0) {

std::cout << "Obtained " << (freshDimers?"fresh ":"") << depthDimers[depth].size() << " dimers/monomers";

if (nbespoke) { std::cout << " (including " << nbespoke << " bespoke objects)"; }
std::cout << "." << std::endl;

bitworld env = to_env(stell).flatlayer(0);
bitworld live = stell.flatlayer(0);

std::vector<bitworld> clusters = cfier.getclusters(live, env, true);
for (uint64_t i = 0; i < clusters.size(); i++) {
if (clusters[i].population() < MIN_EXCLUSION_SIZE) { smallobj += 1; }
}
std::cout << smallobj << " objects of < " << MIN_EXCLUSION_SIZE << " cells." << std::endl;
}

if (state == 0) {
std::cout << "Obtained " << (freshDimers?"fresh ":"") << depthDimers[depth].size() << " dimers/monomers";
if (nbespoke) { std::cout << " (including " << nbespoke << " bespoke objects)"; }
std::cout << " budget " << budget << "." << std::endl;
}*/

// Display dimers:
for (uint64_t i = 0; i < sorted_dimers.size(); i++) {
pattern dimer = sorted_dimers[i].second;
bitworld live = dimer.flatlayer(0);
bitworld env = to_env(dimer).flatlayer(0);
int64_t envbbox[4] = {0};
env.getbbox(envbbox);

pattern remainder = stell - dimer;
pattern dcs = dimer.convolve(sword);

if ((dcs & remainder).nonempty() && (dcs(12, 0) & remainder).nonempty() && (dcs(0, 12) & remainder).nonempty()) { continue; }

std::map<std::string, int64_t> counts = cfier.census(live, env);
std::ostringstream ss;
uint64_t totobj = 0;

for (auto it = counts.begin(); it != counts.end(); ++it) {
if (totobj != 0) { ss << "__"; }
if (it->second != 0) {
ss << it->first;
if (it->second != 1) { ss << "(" << it->second << ")"; }
}
totobj += it->second;
}

std::string lexrepr = ss.str();
std::vector<std::string> prefices;

prefices.push_back("bespoke");
bool oneblock = false;
if (lexrepr == "xs4_33") {
if (state == 0) { continue; }
if ((sorted_dimers.size() == 1) && (stell.popcount((1 << 30) + 3)==4)) { oneblock = true; }
prefices.push_back("longmove");
} else if ((lexrepr == "xs6_696") || (lexrepr == "xs4_252")) {
prefices.push_back("edgy/xs4_33");
} else {
budget--;
if ((state == 0) && (budget == 0)) { break; }
if ((state!=0) && (budget>0) && (initbail==0)) {continue; } //processed in budget last time
prefices.push_back("edgy/xs4_33");
if (totobj == 1) { //monomer
prefices.push_back("edgy/xs6_696");
prefices.push_back("edgy/xs4_252");
}
}

uint64_t bdiff = 0;
if (oneblock) {
if (ideal != 0) {
int64_t bbox2[4] = {0};
dimer.getrect(bbox2);
bbox2[0] -= ideal[0];
bbox2[1] -= ideal[1];
bdiff = (bbox2[0] * bbox2[0]) + (bbox2[1] * bbox2[1]);
}
if (bdiff == 0) {
std::cout << "\033[36;1mAlgorithm terminated with single block.\033[0m" << std::endl;
return orig;
}
}

for (uint64_t z = 0; z < prefices.size(); z++) {
bool is_bespoke = (prefices[z] == "bespoke");
std::string filename = datadir + prefices[z];
if (!is_bespoke) {
filename += ("/" + lexrepr);
}
assertfile(filename);

for (uint64_t j = 0; j < (is_bespoke ? 1 : 4); j++) {
pattern tlt = dimer.shift(-envbbox[0], -envbbox[1]);
if (j & 1) {
if (tlt == tlt[1]) { continue; }
tlt = tlt[1];
}
if (j & 2) {
if (lexrepr == "xs4_33") { continue; }
//if (lexrepr == "xs4_252") { continue; }
tlt = tlt.transpose();
}

//std::cout << i << lexrepr << " z " << z << " j " << j << std::endl;

auto it = cgfiles[filename].sdata.find(tlt._string32());
if (it != cgfiles[filename].sdata.end()) {
uint64_t trycount = 0;
for (uint64_t k = 1; k < it->second.size(); k++) {
uint64_t n_recipes = it->second[k].size();
if (lexrepr == "xs4_33") {
if (trycount > tree_bailout) { break; }
//std::cout << "Attempting to construct xs4_33 with " << k << " gliders (" << n_recipes << " recipes)" << std::endl;
}
//std::cout << i << lexrepr << " z " << z << " j " << j <<  " k " << k<< std::endl;

for (uint64_t l = 0; l < n_recipes; l++) {
cgsalvo<int16_t> cs = it->second[k][l].second;
std::string srcstr = it->second[k][l].first;
pattern source(lab, lab->_string32(srcstr), rule);
// Determine whether it is worth proceeding:
bool trythis = false;
pattern xlt = source.shift(-cs.dx, -cs.dy);
pattern altstell = remainder + xlt.shift(envbbox[0], envbbox[1]);
double altstelllength = stelllength;
uint64_t altbdiff = 0;
bool oneblock_improvement = false;
//std::cout << i << lexrepr << " z " << z << " j " << j << " k " << k << " l " << l << std::endl;

if (oneblock) {
int64_t bbox2[4] = {0};
xlt.shift(envbbox[0], envbbox[1]).getrect(bbox2);
bbox2[0] -= ideal[0];
bbox2[1] -= ideal[1];
altbdiff = (bbox2[0] * bbox2[0]) + (bbox2[1] * bbox2[1]);
oneblock_improvement = (std::sqrt((double) altbdiff) <= std::sqrt((double) bdiff) - 25.0 + 0.1 * initbail);
trythis = (altbdiff == 0) || oneblock_improvement;
} else if (lexrepr == "xs4_33") {
if (trycount == deep_bailout) {
//std::cout << "Reached bailout " << deep_bailout << " for strategy 'deep'" << std::endl;
} else if (trycount == tree_bailout) {
//std::cout << "Reached bailout " << tree_bailout << " for strategy 'tree'" << std::endl;
} else if (trycount > tree_bailout) { break; }
altstelllength = stlength(altstell - avoid, depthECCBoundary[depth], cfier);
trythis = (altstelllength <= stelllength - 15.0) || (trycount < deep_bailout) || (nbespoke >= 1);
} else {
trythis = true;
}

if (trythis) {
pattern slt = source;
for (uint64_t m = 0; m < cs.gliders.size(); m++) {
std::pair<int16_t, uint8_t> ng = cs.gliders[m];
int64_t posback = (m + 1) * 128;
slt += eglider(posback + ng.first, posback)[ng.second];
}
uint64_t j2 = (cs.transpose ? 2 : 0) + cs.age;
j2 ^= j;
slt = slt.shift(-cs.dx, -cs.dy);
pattern xlt = source.shift(-cs.dx, -cs.dy);
if (j2 & 1) { slt = slt[1]; xlt = xlt[1]; }
if (j2 & 2) { slt = slt.transpose(); xlt = xlt.transpose(); }

pattern sltshift = slt.shift(envbbox[0], envbbox[1]);
pattern newpat = sltshift + remainder;

//std::cout << i << lexrepr << " z " << z << " j " << j << " k " << k << " l " << l << " trying" << std::endl;

if (newpat[512 * (cs.gliders.size() + 1)] == stell) {
if ((sltshift.convolve(sword) & remainder).empty()) {
// std::cout << "Good match!" << std::endl;
} else {
// std::cout << "Inaccessible from infinity" << std::endl;
continue;
}
int64_t posback = (cs.gliders.size() + 2) * 128;
newpat += exsalvo(posback, posback);
pattern altstell = remainder + xlt.shift(envbbox[0], envbbox[1]);

if (oneblock) {
if (altbdiff == 0) {
std::cout << "\033[32;1mInitial block correctly emplaced\033[0m" << std::endl;
return newpat;
} else if (oneblock_improvement) {
std::cout << "\033[32;1mInitial block moved towards target\033[0m" << std::endl;
return newpat;
}
} else if (lexrepr == "xs4_33") {
pattern newpat2 = newpat;
if ((trycount >= lastbail) && (trycount < deep_bailout)) {
// We now create a really large sword to ensure only the BR-most
// block is moved by the 'deep' strategy:
pattern qlt = sltshift.convolve(bigblock).convolve(bigblock);
qlt += qlt(8, 8).convolve(bigblock).convolve(bigblock);
if ((qlt.convolve(sword) & remainder).empty()) {
pattern empty(lab,"",rule);
preparedepth(depth+1,empty,newpat2,cfier); // no need to prepare spanning tree for shallow search
newpat2 = precurse(newpat, cfier, 0, 1, 1, 0, ideal, depth+1);
std::cout << "back to precurse A" << std::endl;
}
}
if (newpat != newpat2) {
stat_deep++;
std::cout << (double) clock() << " \033[32;1mdeep   \033[0m" ;
std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ;
std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce;
std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")";
std::cout << " predeep population " << stell.popcount((1 << 30) + 3) << " --> ";
std::cout << altstell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr << std::endl;
return newpat2;
}

double nutil_old = stelllength;
double nutil_new = altstelllength;
if (nbespoke > 0) {
pattern barrier = avoid.convolve(sword);
pattern altrem = altstell - avoid;
pattern rem = stell - avoid;
rem += rem(0, 6); rem += rem(6, 0);
altrem += altrem(0, 6); altrem += altrem(6, 0);
rem += rem(0, 12); rem += rem(12, 0);
altrem += altrem(0, 12); altrem += altrem(12, 0);
uint64_t pop1 = 0;
uint64_t pop2 = 0;
for (uint64_t zz = 0; zz < 4; zz++) {
pop2 += (barrier & altrem).popcount((1 << 30) + 3);
pop1 += (barrier & rem).popcount((1 << 30) + 3);
barrier = barrier.convolve(sword).convolve(sword);
}
nutil_old += 0.1 * pop1;
nutil_new += 0.1 * pop2;
}
if (nutil_new <= nutil_old - 15.0) {
stat_tree++;
std::cout << (double) clock() << " \033[32;1mtree   \033[0m: ";
std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ;
std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce;
std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")";
std::cout << " population " << stell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr;
std::cout << " loss " << nutil_old << " --> " << nutil_new << std::endl;
return newpat;
}
} else {
if (is_bespoke) {
stat_bespoke++;
std::cout << (double) clock() << " \033[32;1mbespoke\033[0m: ";
} else if (totobj == 1) {
stat_reduce++;
std::cout << (double) clock() << " \033[32;1mreduce \033[0m: ";
} else {
stat_split++;
std::cout << (double) clock() << " \033[32;1msplit  \033[0m: ";
}
std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ;
std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce;
std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")";
std::cout << " population " << stell.popcount((1 << 30) + 3) << " --> ";
std::cout << altstell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr << std::endl;

return newpat;
}
}
}
trycount += 1;
}
}
}
}
}
}
// std::cout << "--------------------------------" << std::endl;
depthSDimers[depth]=sorted_dimers;
depthavoid[depth]=avoid;
depthnbespoke[depth]=nbespoke;

if ((maxbail != 0) && (initbail < maxbail)) {
std::cout << "Increasing bailout to " << (initbail * 3) << std::endl;
pattern ret=precurse(orig, cfier, state, initbail * 3, maxbail, initbail, ideal, depth);
std::cout << "back to precurse B" << std::endl;
return ret;
}
std::cout << "no improvement found" << std::endl;
return orig;
}

pattern preiterate(pattern initial, classifier &cfier, int64_t *ideal, uint64_t depth, pattern extra) {
std::cout << "preiterate " << ((ideal==0)?"0":"i") << " " << depth << " " << extra.popcount((1 << 30) + 3) << std::endl;
pattern pcend = initial;
pattern pcstart(lab, "", rule);
pattern gliders(lab, "", rule);
preparedepth(depth,extra,initial,cfier);

bool progress = true;
uint64_t chunk1minpop = 8, chunk2minpop = 8;
while (pcstart != pcend) {

if (progress) {
chunk1minpop = chunk2minpop = 8;
progress = false;
}

pcstart = pcend & pcend[8];
pattern salvo = pcend - pcstart;
if (salvo.nonempty() && gliders.nonempty()) {

int64_t diag = 0;
int64_t gliders_bbox[4] = {0};
int64_t pcend_bbox[4] = {0};

gliders.getrect(gliders_bbox);
pcend.getrect(pcend_bbox);

int64_t horizontal = (pcend_bbox[0] + pcend_bbox[2] - gliders_bbox[0]);
int64_t vertical   = (pcend_bbox[1] + pcend_bbox[3] - gliders_bbox[1]);

if (diag < horizontal) { diag = horizontal; }
if (diag < vertical) { diag = vertical; }

diag += 512;
diag -= (diag & 255);

gliders = gliders(diag, diag);
}

gliders += salvo;
if (depth>0) {
if (depthStLen[depth]<0.5) {
std::cout << "\033[36;1mST optimal break.\033[0m" << std::endl;
break;
}
}

{
// save progress
std::ostringstream ss;
ss << "current" << depth << ".mc";
std::ofstream out(ss.str());
(pcstart + gliders).write_macrocell(out);
}

pattern inpat2 = pcstart;

if (has_isolated_block(pcstart)) {
pattern chunk = get_lowerright(pcstart, inpat2, chunk1minpop, 32, cfier, extra); //
if (chunk != pcstart) {
pattern remainder = pcstart - chunk;
pcend = remainder + preiterate(chunk, cfier, 0, depth+1, extra + remainder);
std::cout << "back to preiterate A " << depthStLen[depth];
if (pcend == pcstart) {
std::cout << " with no progress" << std::endl;
chunk1minpop = 1+chunk.popcount((1 << 30) + 3);
pcstart = chunk; // to stay in the loop and try bigger chunk
} else {
std::cout << " with a progress" << std::endl;
progress = true;
}
continue;
}
inpat2 -= get_isolated_block(inpat2);
}

pcend = precurse(pcstart, cfier, 0, 1, 1, 0, ideal, depth);
std::cout << "back to preiterate B " << depthStLen[depth];

if (pcend != pcstart) {
std::cout << " with a progress" << std::endl;
progress= true; continue;
}

std::cout << " with no progress" << std::endl;

if (inpat2.nonempty()) {
pattern chunk = get_lowerright(pcstart, inpat2, chunk2minpop, 25, cfier, extra);
if (chunk != pcstart) {
pattern remainder = pcstart - chunk;
pcend = remainder + preiterate(chunk, cfier, 0, depth+1, extra + remainder);
std::cout << "back to preiterate C " << depthStLen[depth];
if (pcend == pcstart) {
std::cout << " with no progress" << std::endl;
chunk2minpop = 1+chunk.popcount((1 << 30) + 3);
pcstart = chunk; // to stay in the loop and try bigger chunk
} else {
std::cout << " with a progress" << std::endl;
progress = true;
}
continue;
}
}

// attempt deeper constructions:
pcend = precurse(pcstart, cfier, 1, 1, 4096, 0, ideal, depth);
std::cout << "back to preiterate D " << depthStLen[depth];

if (pcend != pcstart) {
std::cout << " with a progress" << std::endl;
progress= true; continue;
}
std::cout << " with no progress" << std::endl;

}

return (pcstart + gliders);
}

pattern preiterate(pattern initial, classifier &cfier, int64_t *ideal, uint64_t depth = 0) {
std::cout << "preiterate0 " << ((ideal==0)?"0":"i") << " " << depth  << std::endl;
lab = initial.getlab();
rule = initial.getrule();

pattern extra(lab, "", rule);
return preiterate(initial, cfier, ideal, depth, extra);
}

pattern preiterate(pattern initial, classifier &cfier) {
pattern findme(initial.getlab(), "3b2o$2bo2bo$bob2obo$obo2bobo$obo2bobo$bob2obo$2bo2bo$3b2o!", initial.getrule()); pattern m = initial.match(findme); pattern im = initial - m.convolve(findme); if (m.empty()) { return preiterate(im, cfier, 0, 0); } else { int64_t ideal[4] = {0}; m(3, 3).getrect(ideal); return preiterate(im, cfier, ideal, 0); } } }; }  I am still "not happy" with clusters being recompued all the times when each update replaces one or two of them with another cluster. It would be nice to have a dynamic maintainance of clusters and the spanning graph (nonrecursve) (with census precomputed). But seems these optimizations are not that important as testing the recipes comsumes much more time. I have played with parameters more ... having 150 depth for early phases (bailout==1) and if there is a bespoke than 220 for later phases (not adding other bespokes) first try given 8205 gliders. I have still problems with early termination of precurse not working so the program waited till last bailout didnt help ... end preiterate continued well. ... prolonging the run without a reason ... Seems I have found the bug ... in stellength maintainance:) ... now the algoritmh usually succeeds on first target (or rarely second one, very rarely third) (while there are no active bespokes), and algorithm slows down just a bit when bespokes are nearby. Maybe it's time to start thinking about the dynamic maintainance as dimerisation could become bottleneck of the search. Current results are 8266/?, 8229/?, 8232/30, 8236/33, 8302/35 but I am still finding inoptimalities in the logs ... currently I understand what causes reaching maxbailout problem ... I could have only one target (block) with one faraway block on left and one on right. There is no place where to move the target to decrease stelllength sufficiently ... maybe recomputing the boundary among the chunk and the rest solves the problem. And I have decided to save progress at most once per 30s (at each depth). Hippo.69 Posts: 52 Joined: July 14th, 2020, 7:35 pm ### Re: slmake OK, here is my current version: of slmake.h: Code: Select all #pragma once #include "../lifelib/pattern2.h" #include "../lifelib/spantree.h" #include "../lifelib/classifier.h" #include "../lifelib/ssplit.h" #include <set> #include <cstdlib> #include <sstream> #include <algorithm> #define MIN_EXCLUSION_SIZE 32 /* * Functionality for constructing constellations of still-lifes. */ namespace apg { /** * Computes the period-8 envelope of a pattern */ pattern to_env(pattern x) { pattern y = x; pattern z = x; for (int i = 0; i < 7; i++) { z = z[1]; y += z; } return y; } std::vector<coords64> getccenters(std::vector<bitworld> clusters) { std::vector<coords64> ccenters; for (uint64_t i = 0; i < clusters.size(); i++) { // Get bounding box: int64_t bbox[4] = {0}; clusters[i].getbbox(bbox); int64_t mx2 = bbox[0] * 2 + bbox[2] - 1; int64_t my2 = bbox[1] * 2 + bbox[3] - 1; coords64 m2(mx2, my2); ccenters.push_back(m2); } return ccenters; } double stlength(pattern stell, std::vector<coords64> eccenters, classifier &cfier) { bitworld env = to_env(stell).flatlayer(0); bitworld live = stell.flatlayer(0); std::vector<bitworld> clusters = cfier.getclusters(live, env, false); std::vector<coords64> ccenters = getccenters(clusters); const uint64_t ccenters_size = ccenters.size(); for(std::vector<coords64>::iterator it = eccenters.begin(); it != eccenters.end(); ++it) { ccenters.push_back(*it); } dsds colours(ccenters_size+1); std::vector<edge64> sgraph = spanning_graph(ccenters); // Compute squared length of edges with an endpoint in stell: std::vector<std::pair<int64_t, edge64> > sedges; for (std::vector<edge64>::iterator it = sgraph.begin(); it != sgraph.end(); ++it) { if ((it->first < ccenters_size)||(it->second < ccenters_size)) { coords64 a = ccenters[it->first]; coords64 b = ccenters[it->second]; int64_t xdiff = a.first - b.first; int64_t ydiff = a.second - b.second; int64_t sqlength = (xdiff * xdiff) + (ydiff * ydiff); sedges.push_back(std::make_pair(sqlength, *it)); } } // Sort edges into ascending order: std::sort(sedges.begin(), sedges.end()); double length=0; // Apply Kruskal's algorithm: for (std::vector<std::pair<int64_t, edge64> >::iterator it = sedges.begin(); it != sedges.end(); ++it) { uint64_t a = it->second.first; uint64_t b = it->second.second; bool internal=true; if (a >= ccenters_size) { a = ccenters_size; internal=false;} if (b >= ccenters_size) { b = ccenters_size; internal=false;} // vertices of extra has the same color if (!colours.connected(a, b)) { colours.merge(a, b); if (internal) { length+= std::sqrt(it->first); } } } return 0.5 * length; } pattern diagonalise(pattern inp) { /* * Create a diagonal line longer than the diameter of a pattern. */ int64_t bbox[4] = {0}; inp.getrect(bbox); pattern diagonal(inp.getlab(), "o$bo$2bo$3bo$4bo$5bo$6bo$7bo$8bo$9bo$10bo$11bo$12bo$13bo$14bo$15bo!", inp.getrule());
for (uint64_t i = 4; i < 64; i++) {
if (((1 << i) >= bbox[2]) && ((1 << i) >= bbox[3])) { break; }
diagonal += diagonal(1 << i, 1 << i);
}

return diagonal;
}

pattern get_exclusions(pattern inpat, classifier &cfier) {

auto lab = inpat.getlab();

pattern excl(lab, "", "b3s23");

bitworld live = inpat.flatlayer(0);
std::vector<bitworld> clusters = cfier.getclusters(live, live, true);
for (uint64_t i = 0; i < clusters.size(); i++) {
if (clusters[i].population() >= MIN_EXCLUSION_SIZE) {
excl += pattern(lab, lab->demorton(clusters[i], 1), "b3s23");
}
}

return excl;
}

uint64_t excluded_popcount(pattern inpat, classifier &cfier) {
pattern excl = get_exclusions(inpat, cfier);
return (inpat - excl).popcount((1 << 30) + 3);
}

pattern cell_lowerright(pattern inpat) {
// Get a reasonably lower-right cell of an input pattern.
bitworld bw = inpat.flatlayer(0);
bw = bw.br1cell();
auto lab = inpat.getlab();
pattern brcell(lab, lab->demorton(bw, 1), inpat.getrule());
return brcell;
}

pattern bounding_hull(pattern x) {

int64_t bbox[4] = {0};
x.getrect(bbox);

pattern y(x.getlab(), "bbo$bo$o!", "b3s23");
y = y.shift(-1, -1);

uint64_t p = bbox[2] + bbox[3];
while (p > 0) {
p = p >> 1;
y = y.convolve(y);
}

return x.convolve(y).subrect(bbox);
}

pattern get_isolated_block(pattern inpat) {

auto lab = inpat.getlab();
pattern convrect(lab, lab->rectangle(-20, -20, 41, 41), "b3s23");
return inpat & cell_lowerright(inpat).convolve(convrect);

}

bool has_isolated_block(pattern inpat) {

pattern x = get_isolated_block(inpat);
int64_t bbox[4] = {0};
x.getrect(bbox);
return (bbox[2] == 2) && (bbox[3] == 2);

}

pattern get_lowerright(pattern inpat, pattern inpat2, uint64_t minpop, int radius, classifier &cfier, pattern extra) {
// Get a lower-right chunk of an input pattern.
auto lab = inpat.getlab();
pattern convrect(lab, lab->rectangle(-radius, -radius, 2 * radius + 1, 2 * radius + 1), "b3s23");
pattern icell = cell_lowerright(inpat2);
pattern diag = diagonalise(inpat);
pattern sword(lab, "o$bo$2bo$3b2o$3b2o!", "b3s23");

for (int i = 0; i < 6; i++) {
sword = sword.convolve(sword);
}

sword = sword.convolve(diag).convolve(convrect);
pattern chunk(lab, "", "b3s23");

for (;;) {
pattern newchunk = chunk + icell;

while (chunk != newchunk) {
chunk = newchunk & inpat;
newchunk = bounding_hull(chunk).convolve(sword) & inpat;
}

pattern rempat = inpat - chunk;

if (rempat.empty()) { break; }

uint64_t epc = excluded_popcount(chunk, cfier);
if (epc < minpop) {
icell = icell.convolve(convrect);
} else {
std::cout << "\033[36;1mFound " << epc;
std::cout << "-cell chunk; " << excluded_popcount(rempat, cfier);
std::cout << " + " << extra.popcount((1 << 30) + 3);
std::cout << " cells remain.\033[0m" << std::endl;
break;
}
}
return chunk;
}

std::vector<std::pair<int64_t,pattern>> dimerise(pattern stell, classifier &cfier, int64_t maxDepth) {
/*
* Find promising still-life pairs and individual still-lifes
* which the compiler has a good chance of being able to build.
*/

/*
dimers have monomer center distances at most 25\sqrt{2} so Manhattan distance at most 50
for a monomer A center of the most distance dimmer containing A is from center of A in Manhattan distance at most 25
We want A to be processed after last dimmer containing A so we should penalise A by Manhattan distance > 25
We use 2 points coordinates so the penalty should be > 50
(After that we try to reduce a tub or beehive to block, and other monomer than tub, beehive or block to tub, beehive or block)

Monomer blocks are processed differently, we transform them to blocks, but we should try to improve a
chance it will create dimmer to be processed.
The heuristic trying to shorten (global) minimum spanning forest looks well as the most distant blocks tend to move
towards the rest.

moving block to Manhattan distance 36 is rather cheap, it seems to me they should be
"invited to follow monomers" from around such a distance.

*/

const int64_t diPenalty = 0;
// bespokePenalty=-80 < -50 to prefere be broken to clusters before the clusters could become part of active dimers

const int64_t monoPenalty = 51;

const int64_t blockPenalty = 120;

std::vector<std::pair<int64_t,pattern>> sorted_dimers;
//std::vector<std::vector<pattern> > sdimers;

bitworld env = to_env(stell).flatlayer(0);
bitworld live = stell.flatlayer(0);

std::vector<bitworld> clusters = cfier.getclusters(live, env, true);
std::vector<coords64> ccenters;

std::set<std::pair<int64_t, edge64>> edgelist_sorted;

for (uint64_t i = 0; i < clusters.size(); i++) {
// Get bounding box:
int64_t bbox[4] = {0};
clusters[i].getbbox(bbox);
int64_t mx2 = bbox[0] * 2 + bbox[2] - 1;
int64_t my2 = bbox[1] * 2 + bbox[3] - 1;
coords64 m2(mx2, my2);
ccenters.push_back(m2);

// penalty to ensure that singleton blocks appear after everything else:
int64_t pen = ((bbox[2] == 2) && (bbox[3] == 2)) ? blockPenalty : monoPenalty;

edgelist_sorted.emplace(pen - 2*(mx2 + my2), edge64(i, i));
}

std::vector<edge64> edgelist_unsorted = spanning_graph(ccenters);

for (uint64_t i = 0; i < edgelist_unsorted.size(); i++) {
edge64 edge = edgelist_unsorted[i];

int64_t x1 = ccenters[edge.first].first;
int64_t y1 = ccenters[edge.first].second;
int64_t x2 = ccenters[edge.second].first;
int64_t y2 = ccenters[edge.second].second;

if ((x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2) > 5000) { continue; }
edgelist_sorted.emplace(diPenalty - (x1 + y1 + x2 + y2), edge);
}

lifetree_abstract<uint32_t>* lab = stell.getlab();
std::set<edge64> edgedump;

int64_t priorityLimit = edgelist_sorted.begin()->first + maxDepth;
uint64_t ActiveMonomers=0;

for (auto it = edgelist_sorted.begin(); it != edgelist_sorted.end(); ++it) {
if (it->first >= priorityLimit) {break;}
edge64 edge = it->second;
if (edge.first == edge.second) {
// Include monomers:
ActiveMonomers++;
uint64_t i = edge.first;
pattern monomer(lab, lab->demorton(clusters[i], 1), stell.getrule());
sorted_dimers.push_back(std::make_pair(it->first,monomer));
} else {
// Include dimers:
uint64_t idLo = (edge.first < edge.second) ? edge.first : edge.second;
uint64_t idHi = (edge.first > edge.second) ? edge.first : edge.second;
bitworld bw = clusters[edge.first];
bw += clusters[edge.second];
pattern dimer(lab, lab->demorton(bw, 1), stell.getrule());
edge64 newedge(idLo, idHi);
if (edgedump.count(newedge) == 0) {
sorted_dimers.push_back(std::make_pair(it->first,dimer));
edgedump.insert(newedge);
}
}
}
std::cout << "considered clusters/dimers/monomers/bespokes/active bespokes/early targets/later targets/early maxDepth/later maxdepth: " <<
clusters.size() << "/"<< sorted_dimers.size()-ActiveMonomers << "/" << ActiveMonomers << "/";
return sorted_dimers;
}

template <typename T> struct cgsalvo {

std::vector<std::pair<T, char> > gliders;
T dx;
T dy;
bool age;
bool transpose;

void glidermatch(pattern pat) {

std::map<std::pair<int64_t, int64_t>, uint8_t> gmap;
std::vector<pattern> matches;

pattern a_glider(pat.getlab(), "3o$o$bo!", pat.getrule());

int64_t bbox[4] = {0};

for (uint64_t i = 0; i < 4; i++) {
bitworld bw = pat.match(a_glider).flatlayer(0);
a_glider = a_glider[1];

while (bw.population()) {
bitworld onecell = bw.get1cell();
bw -= onecell;
onecell.getbbox(bbox);
int64_t lane = (bbox[0] - bbox[1]);
uint8_t phase = (uint8_t) (((bbox[1] & 1) << 2) + i);
gmap[std::pair<int64_t, int64_t>(bbox[0] + bbox[1], lane)] = phase;
}
}

for (auto it = gmap.begin(); it != gmap.end(); ++it) {
T lane = it->first.second;
uint8_t phase = it->second;
gliders.emplace_back(lane, phase);
}
}

std::pair<pattern, pattern> frompattern(pattern pat) {

int64_t bbox[4] = {0};
pattern fin = pat[1 << 20];

to_env(fin).getrect(bbox);
pattern centred = pat(-bbox[0], -bbox[1]);
fin = fin(-bbox[0], -bbox[1]);

pattern target = centred & centred[8];
pattern gliders = centred - target;

glidermatch(gliders);

dx = 0;
dy = 0;
age = 0;
transpose = 0;

return std::pair<pattern, pattern>(target, fin);
}

void fromline(std::string line) {
std::vector<std::string> colons = string_split(line, ':');
if (colons.size() >= 3) {

std::string t = colons[colons.size() - 2];
std::vector<std::string> gstrings = string_split(t, ' ');

for (uint64_t i = 0; i < gstrings.size(); i++) {
std::string g = gstrings[i];
if (g != "") {
char lastchar = g[g.length() - 1];
if ((lastchar == 'E') || (lastchar == 'O')) {
T j = (std::stoll(g.substr(0, g.length() - 1)) - 1) / 2;
gliders.emplace_back(j, ((lastchar == 'E') ? 0 : 1));
}
}
}

std::string s = colons[colons.size() - 3];
std::replace(s.begin(), s.end(), '(', ' ');
std::replace(s.begin(), s.end(), ')', ' ');
std::replace(s.begin(), s.end(), ',', ' ');
std::vector<std::string> hstrings = string_split(s, ' ');
std::vector<std::string> hstrings2;

for (uint64_t i = 0; i < hstrings.size(); i++) {
std::string h = hstrings[i];
if (h != "") { hstrings2.push_back(h); }
}
if (hstrings2.size() == 3) {
dx = std::stoll(hstrings2[0]);
dy = std::stoll(hstrings2[1]);
transpose = (hstrings2[2] == "T");
}

std::string r = colons[colons.size() - 1];
if (r.find("o") != std::string::npos) { age = 1; }
if (r.find("e") != std::string::npos) { age = 0; }

}
}

};

struct cgfile {
std::map<std::string, std::vector<std::vector<std::pair<std::string, cgsalvo<int16_t>>>>> sdata;
std::set<std::string> btargets;

void digestmc(std::string filename, lifetree_abstract<uint32_t> *lab) {

pattern x(lab, filename);
uint64_t period = x[1 << 20].ascertain_period();
std::cout << " -- " << filename << " has period " << period << "." << std::endl;

for (uint64_t i = 0; i < period; i++) {
for (uint64_t j = 0; j < 2; j++) {
cgsalvo<int16_t> cg;
std::pair<pattern, pattern> respair = cg.frompattern(x);
std::string source = respair.first._string32();
std::string target = respair.second._string32();
btargets.insert(target);

if (sdata[target].size() <= cg.gliders.size()) {
sdata[target].resize(cg.gliders.size() + 1);
}
sdata[target][cg.gliders.size()].emplace_back(source, cg);

x = x.transpose();
}
x = x[1];
}
}

void readfile(std::string filename, lifetree_abstract<uint32_t> *lab, std::string rule) {
std::ifstream f(filename);
std::string line;
std::string rlesofar;
std::string target;
std::string source;
bool readingsrc = false;

if (!f.good()) { return; }

std::cout << "Reading file " << filename << "..." << std::endl;
while (std::getline(f, line)) {
if (line.empty()) { continue; }
char c = line[0];

if ((c == ' ') || (c == '*')) {
if (rlesofar != "") { rlesofar += "$"; } rlesofar += line; } else if (rlesofar != "") { std::replace( rlesofar.begin(), rlesofar.end(), ' ', 'b'); std::replace( rlesofar.begin(), rlesofar.end(), '*', 'o'); rlesofar += "!"; // std::cout << rlesofar << std::endl; pattern p(lab, rlesofar, rule); if (readingsrc) { source = p._string32(); } else { target = p._string32(); } rlesofar = ""; } if (c == '-') { if (line.find("Source") != std::string::npos) { readingsrc = true; } else if (line.find("Target") != std::string::npos) { readingsrc = false; } } else if (rlesofar == "") { cgsalvo<int16_t> cg; cg.fromline(line); if (cg.gliders.size() != 0) { if (sdata[target].size() <= cg.gliders.size()) { sdata[target].resize(cg.gliders.size() + 1); } sdata[target][cg.gliders.size()].emplace_back(source, cg); } } } std::cout << "..." << filename << " successfully read." << std::endl; } }; struct cghq { /* * Collection of slow-salvo recipes */ std::map<std::string, cgfile> cgfiles; std::string rule; std::string datadir; lifetree_abstract<uint32_t> *lab; uint64_t stat_bespoke=0, stat_deep=0, stat_tree=0, stat_split=0, stat_reduce=0; uint64_t assertfile(std::string filename) { if (cgfiles.count(filename) == 0) { cgfiles[filename].readfile(filename, lab, rule); } return cgfiles[filename].sdata.size(); } void assertbespoke(std::string dirname) { if (cgfiles.count(dirname) == 0) { std::ifstream f(dirname + "/filelist.txt"); std::string line; while (std::getline(f, line)) { std::string filename = dirname + "/" + line; cgfiles[dirname].digestmc(filename, lab); } } } std::vector<pattern> depthExtras; std::vector<std::vector<coords64>> depthECCBoundary; std::vector<std::vector<std::pair<int64_t,pattern>>> depthSDimers; std::vector<pattern> depthavoid; std::vector<std::uint64_t> depthnbespoke; std::vector<std::uint64_t> depthnblocks; std::vector<std::int64_t> depthEarlyPriorityLimit; std::vector<std::double_t> depthStLen; std::vector<std::double_t> depthNextSaveTime; void preparedepth(uint64_t depth, pattern extra, pattern work, classifier &cfier) { if (depthSDimers.size()==depth) { std::vector<std::pair<int64_t,pattern>> empty; depthSDimers.push_back(empty); pattern dummy(lab,"",rule); depthExtras.push_back(dummy); std::vector<coords64> noccoords; depthECCBoundary.push_back(noccoords); depthavoid.push_back(dummy); depthnbespoke.push_back(0); depthnblocks.push_back(0); depthEarlyPriorityLimit.push_back(0); depthStLen.push_back(1.1); depthNextSaveTime.push_back(0.0); } depthExtras[depth]=extra; depthStLen[depth]=1.1; std::vector<coords64> noccoords; depthECCBoundary[depth] = noccoords; pattern stell = work & work[8]; bitworld env = to_env(stell).flatlayer(0), live = stell.flatlayer(0); std::vector<bitworld> sclusters = cfier.getclusters(live, env, false); env = to_env(extra).flatlayer(0); live = extra.flatlayer(0); std::vector<bitworld> eclusters = cfier.getclusters(live, env, false); std::vector<coords64> sccenters,eccenters,accenters; sccenters=getccenters(sclusters); eccenters=getccenters(eclusters); for (uint64_t i = 0; i < sccenters.size(); i++) { accenters.push_back(sccenters[i]); } for (uint64_t i = 0; i < eccenters.size(); i++) { accenters.push_back(eccenters[i]); } dsds colours(sccenters.size()+1); std::vector<edge64> sgraph = spanning_graph(accenters); // Compute squared length of edges with an endpoint in stell: std::vector<std::pair<int64_t, edge64> > sedges; for (std::vector<edge64>::iterator it = sgraph.begin(); it != sgraph.end(); ++it) { if ((it->first < sccenters.size())||(it->second < sccenters.size())) { coords64 a = accenters[it->first]; coords64 b = accenters[it->second]; int64_t xdiff = a.first - b.first; int64_t ydiff = a.second - b.second; int64_t sqlength = (xdiff * xdiff) + (ydiff * ydiff); sedges.push_back(std::make_pair(sqlength, *it)); } } // Sort edges into ascending order: std::sort(sedges.begin(), sedges.end()); // Apply Kruskal's algorithm: std::set<uint64_t> eboundary; for (std::vector<std::pair<int64_t, edge64> >::iterator it = sedges.begin(); it != sedges.end(); ++it) { uint64_t a = it->second.first; uint64_t b = it->second.second; uint64_t e = 0; if (a >= sccenters.size()) { e = a - sccenters.size(); a = sccenters.size(); } if (b >= sccenters.size()) { e = b - sccenters.size(); b = sccenters.size(); } // vertices of extra has the same color if (!colours.connected(a, b)) { colours.merge(a, b); if (e != 0) { eboundary.emplace(e); } } } for(std::set<uint64_t> :: iterator it = eboundary.begin(); it != eboundary.end(); ++it) { depthECCBoundary[depth].push_back(eccenters[*it]); } } pattern precurse(pattern orig, classifier &cfier, int state, int initbail, int maxbail, uint32_t lastbail, int64_t *ideal, uint64_t depth, uint64_t shallowFlags = 0) { std::cout << "precurse " << state << " " << initbail << " " << maxbail << " " << lastbail << " " << ((ideal==0)?"0":"i") << " " << depthExtras[depth].popcount((1 << 30) + 3) << " " << depth << std::endl; assertbespoke(datadir+"bespoke"); pattern stell = orig & orig[8]; pattern exsalvo = orig - stell; pattern diagonal = diagonalise(stell); pattern smallblock(lab, "2o$2o!", rule);
pattern bigblock(lab, "4o$4o$4o$4o!", rule); pattern utilhash(lab,"o5bo5bo5bo5$o5bo5bo5bo5$o5bo5bo5bo5$o5bo5bo5bo5!",rule);

pattern sword = diagonal.convolve(bigblock);
/*pattern swordExtender(lab,"o12o12$o!",rule); pattern extSword = sword.convolve(swordExtender);*/ uint64_t deep_bailout = initbail - 1, last_deep_bailout = lastbail - 1; uint64_t tree_bailout = initbail * 100, last_tree_bailout = lastbail * 100; const int64_t earlyMaxDepth = 150; int64_t laterMaxDepth = 220; if (shallowFlags>0) {laterMaxDepth = earlyMaxDepth;} std::vector<std::pair<int64_t,pattern>> sorted_dimers; uint64_t nbespoke, nblocks=0; pattern avoid(lab, "", rule); int64_t earlyPriorityLimit; if ((state==0)) { const int64_t bespokePenalty = -80; std::vector<std::pair<int64_t,pattern>> sorted_xdimers = dimerise(stell, cfier, laterMaxDepth); earlyPriorityLimit = sorted_xdimers .begin()->first + earlyMaxDepth; uint64_t nAllBespokes=0; for (auto it = cgfiles[datadir+"bespoke"].btargets.begin(); it != cgfiles[datadir+"bespoke"].btargets.end(); ++it) { pattern sterm(lab, lab->_string32(*it), rule); bitworld bw = stell.match(sterm).flatlayer(0); while (bw.population()) { int64_t bbox[4] = {0}; bitworld onecell = bw.get1cell(); bw -= onecell; onecell.getbbox(bbox); pattern subset = sterm(bbox[0], bbox[1]); avoid += subset; bitworld fsubset = subset.flatlayer(0); fsubset.getbbox(bbox); int64_t priority = bespokePenalty - 2*(bbox[0] * 2 + bbox[2] + bbox[1] * 2 + bbox[3] - 2); nAllBespokes++; if (priority<earlyPriorityLimit) { sorted_dimers.push_back(std::make_pair(priority,subset)); } } } nbespoke = sorted_dimers.size(); //bespokes are filtered by priority, but unsorted at front of others std::cout << nAllBespokes << "/" << nbespoke << "/"; if (nbespoke==0) { laterMaxDepth = earlyMaxDepth;} int64_t laterPriorityLimit = earlyPriorityLimit - earlyMaxDepth + laterMaxDepth; uint64_t nEarlyTargets=nbespoke; for (uint64_t i = 0; i < sorted_xdimers.size(); i++) { if (sorted_xdimers[i].first>=laterPriorityLimit) {break;} if ((sorted_xdimers[i].second & avoid).empty()) { if (sorted_xdimers[i].first<earlyPriorityLimit) {nEarlyTargets++;} sorted_dimers.push_back(sorted_xdimers[i]); } } std::cout << nEarlyTargets << "/" << sorted_dimers.size() << "/" << earlyMaxDepth << "/" << laterMaxDepth << std::endl; depthStLen[depth] = 1.1; //dummy ... not 0.0 yet } else { sorted_dimers=depthSDimers[depth]; avoid=depthavoid[depth]; nbespoke=depthnbespoke[depth]; nblocks=depthnblocks[depth]; earlyPriorityLimit=depthEarlyPriorityLimit[depth]; } double stelllength = depthStLen[depth]; if ((depth>0)&&(stelllength<0.5)) { std::cout << "\033[36;1mAlgorithm terminated with an opimal ST.\033[0m" << std::endl; return orig; } pattern eglider(lab, "3o$o$bo!", rule); int budget = (nbespoke>20) ? nbespoke + 10 : 30; // budget rarely stops the state==0 phase bool promissingBlockExists = false; /*if (state != 0) { std::cout << "Obtained " << (freshDimers?"fresh ":"") << depthDimers[depth].size() << " dimers/monomers"; if (nbespoke) { std::cout << " (including " << nbespoke << " bespoke objects)"; } std::cout << "." << std::endl; bitworld env = to_env(stell).flatlayer(0); bitworld live = stell.flatlayer(0); std::vector<bitworld> clusters = cfier.getclusters(live, env, true); for (uint64_t i = 0; i < clusters.size(); i++) { if (clusters[i].population() < MIN_EXCLUSION_SIZE) { smallobj += 1; } } std::cout << smallobj << " objects of < " << MIN_EXCLUSION_SIZE << " cells." << std::endl; } if (state == 0) { std::cout << "Obtained " << (freshDimers?"fresh ":"") << depthDimers[depth].size() << " dimers/monomers"; if (nbespoke) { std::cout << " (including " << nbespoke << " bespoke objects)"; } std::cout << " budget " << budget << "." << std::endl; }*/ // Display dimers: for (uint64_t i = 0; i < sorted_dimers.size(); i++) { int64_t priority = sorted_dimers[i].first; pattern dimer = sorted_dimers[i].second; bitworld live = dimer.flatlayer(0); bitworld env = to_env(dimer).flatlayer(0); int64_t envbbox[4] = {0}; env.getbbox(envbbox); pattern remainder = stell - dimer; pattern dcs = dimer.convolve(sword); if ((dcs & remainder).nonempty() && (dcs(12, 0) & remainder).nonempty() && (dcs(0, 12) & remainder).nonempty()) { continue; } // ^ one of the 3 must be empty ?! I would expect pattern dcs = dimer.convolve(extSword) ... (dcs & remainder).nonempty() std::map<std::string, int64_t> counts = cfier.census(live, env); std::ostringstream ss; uint64_t totobj = 0; for (auto it = counts.begin(); it != counts.end(); ++it) { if (totobj != 0) { ss << "__"; } if (it->second != 0) { ss << it->first; if (it->second != 1) { ss << "(" << it->second << ")"; } } totobj += it->second; } std::string lexrepr = ss.str(); std::vector<std::string> prefices; if (i < nbespoke) {prefices.push_back("bespoke");} bool oneblock = false; if (lexrepr == "xs4_33") { if (state == 0) { nblocks++;continue; } if ((sorted_dimers.size() == 1) && (stell.popcount((1 << 30) + 3)==4)) { oneblock = true; } prefices.push_back("longmove"); } else if (initbail>5) {continue; // initbail 1->1->3->9->27...} } else if ((lexrepr == "xs6_696") || (lexrepr == "xs4_252")) { if ((initbail==1) == (priority >= earlyPriorityLimit)) { continue; } if (initbail==1) { budget--; if ((state == 0) && (budget == 0)) { break; } if ((state != 0) && (budget>0)) {continue; } //processed in budget last time } prefices.push_back("edgy/xs4_33"); } else { if ((initbail==1) == (priority >= earlyPriorityLimit)) { continue; } if (initbail==1) { budget--; if ((state == 0) && (budget == 0)) { break; } if ((state != 0) && (budget>0)) {continue; } //processed in budget last time } prefices.push_back("edgy/xs4_33"); if (totobj == 1) { //monomer prefices.push_back("edgy/xs6_696"); prefices.push_back("edgy/xs4_252"); } } if (lexrepr == "xs4_33") { // test the block is promissing if (initbail>2) {promissingBlockExists = true;} if (promissingBlockExists) { if (initbail>2) { if ((nbespoke == 0) && (nblocks>1)) { double altstelllength = stlength(remainder - avoid, depthECCBoundary[depth], cfier); if (altstelllength > stelllength - 15.0) { pattern empty(lab,"",rule); preparedepth(depth+1,empty,remainder,cfier); // no need to prepare spanning tree for shallow search std::cout << "\033[33;1m"; pattern newpatt = precurse(remainder, cfier, 0, 1, 1, 0, ideal, depth+1, 2); std::cout << "\033[0m"; if (newpatt == remainder) { continue; } } } } } else { if ((nbespoke > 0)||oneblock) { promissingBlockExists = true;} else { double altstelllength = stlength(remainder - avoid, depthECCBoundary[depth], cfier); if (altstelllength <= stelllength - 15.0) { promissingBlockExists = true; } else { pattern empty(lab,"",rule); preparedepth(depth+1,empty,remainder,cfier); // no need to prepare spanning tree for shallow search std::cout << "\033[35;1m"; pattern newpatt = precurse(remainder, cfier, 0, 1, 1, 0, ideal, depth+1, 2); std::cout << "\033[0m"; if (newpatt != remainder) { promissingBlockExists = true; } else { continue; } } } } } uint64_t bdiff = 0; if (oneblock) { if (ideal != 0) { int64_t bbox2[4] = {0}; dimer.getrect(bbox2); bbox2[0] -= ideal[0]; bbox2[1] -= ideal[1]; bdiff = (bbox2[0] * bbox2[0]) + (bbox2[1] * bbox2[1]); } if (bdiff == 0) { std::cout << "\033[36;1mAlgorithm terminated with single block.\033[0m" << std::endl; return orig; } } for (uint64_t z = 0; z < prefices.size(); z++) { bool is_bespoke = (prefices[z] == "bespoke"); std::string filename = datadir + prefices[z]; if (!is_bespoke) { filename += ("/" + lexrepr); } assertfile(filename); for (uint64_t j = 0; j < (is_bespoke ? 1 : 4); j++) { pattern tlt = dimer.shift(-envbbox[0], -envbbox[1]); if (j & 1) { if (tlt == tlt[1]) { continue; } tlt = tlt[1]; } if (j & 2) { if (lexrepr == "xs4_33") { continue; } //if (lexrepr == "xs4_252") { continue; } ?? tlt = tlt.transpose(); } //std::cout << i << lexrepr << " z " << z << " j " << j << std::endl; auto it = cgfiles[filename].sdata.find(tlt._string32()); if (it != cgfiles[filename].sdata.end()) { uint64_t trycount = 0; for (uint64_t k = 1; k < it->second.size(); k++) { uint64_t n_recipes = it->second[k].size(); double tree_req_progress = 4*k-initbail/10; if (tree_req_progress<15.0) { tree_req_progress=15.0; } if (lexrepr == "xs4_33") { if (trycount > tree_bailout) { break; } //std::cout << "Attempting to construct xs4_33 with " << k << " gliders (" << n_recipes << " recipes)" << std::endl; } //std::cout << i << lexrepr << " z " << z << " j " << j << " k " << k<< std::endl; for (uint64_t l = 0; l < n_recipes; l++) { cgsalvo<int16_t> cs = it->second[k][l].second; std::string srcstr = it->second[k][l].first; pattern source(lab, lab->_string32(srcstr), rule); // Determine whether it is worth proceeding: bool trythis = false; pattern xlt = source.shift(-cs.dx, -cs.dy); pattern altstell = remainder + xlt.shift(envbbox[0], envbbox[1]); double altstelllength = stelllength; uint64_t altbdiff = 0; bool oneblock_improvement = false; //std::cout << i << lexrepr << " z " << z << " j " << j << " k " << k << " l " << l << std::endl; if (oneblock) { int64_t bbox2[4] = {0}; xlt.shift(envbbox[0], envbbox[1]).getrect(bbox2); bbox2[0] -= ideal[0]; bbox2[1] -= ideal[1]; altbdiff = (bbox2[0] * bbox2[0]) + (bbox2[1] * bbox2[1]); oneblock_improvement = (std::sqrt((double) altbdiff) <= std::sqrt((double) bdiff) - 25.0 + 0.1 * initbail); trythis = (altbdiff == 0) || oneblock_improvement; } else if (lexrepr == "xs4_33") { /*if (trycount == deep_bailout) { //std::cout << "Reached bailout " << deep_bailout << " for strategy 'deep'" << std::endl; } else if (trycount == tree_bailout) { //std::cout << "Reached bailout " << tree_bailout << " for strategy 'tree'" << std::endl; } else*/ if (trycount > tree_bailout) { break; } altstelllength = stlength(altstell - avoid, depthECCBoundary[depth], cfier); trythis = (altstelllength <= stelllength - tree_req_progress) || (trycount < deep_bailout) || (nbespoke >= 1); } else { trythis = true; } if (trythis) { pattern slt = source; for (uint64_t m = 0; m < cs.gliders.size(); m++) { std::pair<int16_t, uint8_t> ng = cs.gliders[m]; int64_t posback = (m + 1) * 128; slt += eglider(posback + ng.first, posback)[ng.second]; } uint64_t j2 = (cs.transpose ? 2 : 0) + cs.age; j2 ^= j; slt = slt.shift(-cs.dx, -cs.dy); pattern xlt = source.shift(-cs.dx, -cs.dy); if (j2 & 1) { slt = slt[1]; xlt = xlt[1]; } if (j2 & 2) { slt = slt.transpose(); xlt = xlt.transpose(); } pattern sltshift = slt.shift(envbbox[0], envbbox[1]); pattern newpat = sltshift + remainder; //std::cout << i << lexrepr << " z " << z << " j " << j << " k " << k << " l " << l << " trying" << std::endl; if (newpat[512 * (cs.gliders.size() + 1)] == stell) { if ((sltshift.convolve(sword) & remainder).empty()) { // std::cout << "Good match!" << std::endl; } else { // std::cout << "Inaccessible from infinity" << std::endl; continue; } int64_t posback = (cs.gliders.size() + 2) * 128; newpat += exsalvo(posback, posback); pattern altstell = remainder + xlt.shift(envbbox[0], envbbox[1]); if (oneblock) { if (altbdiff == 0) { std::cout << "\033[32;1mInitial block correctly emplaced\033[0m" << std::endl; return newpat; } else if (oneblock_improvement) { std::cout << "\033[32;1mInitial block moved towards target\033[0m" << std::endl; return newpat; } } else if (lexrepr == "xs4_33") { pattern newpat2 = newpat; if ((trycount >= last_deep_bailout) && (trycount < deep_bailout)) { // We now create a really large sword to ensure only the BR-most // block is moved by the 'deep' strategy: pattern qlt = sltshift.convolve(bigblock).convolve(bigblock); qlt += qlt(8, 8).convolve(bigblock).convolve(bigblock); if ((qlt.convolve(sword) & remainder).empty()) { pattern empty(lab,"",rule); preparedepth(depth+1,empty,newpat2,cfier); // no need to prepare spanning tree for shallow search std::cout << "\033[36;1m"; newpat2 = precurse(newpat, cfier, 0, 1, 1, 0, ideal, depth+1, 1); std::cout << "\033[0m"; std::cout << "back to precurse A" << std::endl; } } if (newpat != newpat2) { stat_deep++; std::cout << (double) clock() << " \033[32;1mdeep \033[0m" ; std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ; std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce; std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")"; std::cout << " predeep population " << stell.popcount((1 << 30) + 3) << " --> "; std::cout << altstell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr << std::endl; return newpat2; } if (trycount >= last_tree_bailout) { double nutil_old = stelllength; double nutil_new = altstelllength; if (nbespoke > 0) { pattern barrier = avoid.convolve(sword); pattern altrem = altstell - avoid, rem = stell - avoid; altrem = altrem.convolve(utilhash), rem = rem.convolve(utilhash); /*altrem += altrem(0, 6); altrem += altrem(6, 0); altrem += altrem(0, 12); altrem += altrem(12, 0); rem += rem(0, 6); rem += rem(6, 0); // ?? why not convolve? rem += rem(0, 12); rem += rem(12, 0); */ uint64_t pop1 = 0; uint64_t pop2 = 0; for (uint64_t zz = 0; zz < 4; zz++) { pop2 += (barrier & altrem).popcount((1 << 30) + 3); pop1 += (barrier & rem).popcount((1 << 30) + 3); barrier = barrier.convolve(sword).convolve(sword); } nutil_old += 0.1 * pop1; nutil_new += 0.1 * pop2; } if (nutil_new <= nutil_old - tree_req_progress) { stat_tree++; std::cout << (double) clock() << " \033[32;1mtree \033[0m: "; std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ; std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce; std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")"; std::cout << " population " << stell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr; std::cout << " loss " << nutil_old << " --> " << nutil_new << std::endl; depthStLen[depth] = altstelllength; return newpat; } } } else { if (shallowFlags<2) { if (is_bespoke) { stat_bespoke++; std::cout << (double) clock() << " \033[32;1mbespoke\033[0m: "; } else if (totobj == 1) { stat_reduce++; std::cout << (double) clock() << " \033[32;1mreduce \033[0m: "; } else { stat_split++; std::cout << (double) clock() << " \033[32;1msplit \033[0m: "; } } else { std::cout << (double) clock() << " promise "; } std::cout << i << " " << z << " " << j << " " << k << " " << l << " + " << cs.gliders.size() ; std::cout << " " << stat_bespoke << " " << stat_deep << " " << stat_tree << " " << stat_split << " " << stat_reduce; std::cout << " " << sorted_dimers.size() << "(" << nbespoke << ")"; std::cout << " population " << stell.popcount((1 << 30) + 3) << " --> "; std::cout << altstell.popcount((1 << 30) + 3) << " + " << depthExtras[depth].popcount((1 << 30) + 3) << " " << lexrepr << std::endl; return newpat; } } } trycount += 1; } } } } } } // std::cout << "--------------------------------" << std::endl; depthSDimers[depth]=sorted_dimers; depthavoid[depth]=avoid; depthnbespoke[depth]=nbespoke; depthnblocks[depth]=nblocks; depthEarlyPriorityLimit[depth]=earlyPriorityLimit; if ((state == 0) && (shallowFlags==0)) { depthStLen[depth] = stlength(stell - avoid, depthECCBoundary[depth], cfier); std::cout << "stelllength " << depthStLen[depth] << std::endl; } if ((maxbail != 0) && (initbail < maxbail)) { if (promissingBlockExists) { std::cout << "Increasing bailout to " << (initbail * 3) << std::endl; pattern ret=precurse(orig, cfier, state, initbail * 3, maxbail, initbail, ideal, depth); std::cout << "back to precurse B" << std::endl; return ret; } else { std::cout << "no promissing block ... "; } } std::cout << "no improvement found" << std::endl; return orig; } pattern preiterate(pattern initial, classifier &cfier, int64_t *ideal, uint64_t depth, pattern extra) { std::cout << "preiterate " << ((ideal==0)?"0":"i") << " " << depth << " " << extra.popcount((1 << 30) + 3) << std::endl; pattern pcend = initial; pattern pcstart(lab, "", rule); pattern gliders(lab, "", rule); preparedepth(depth,extra,initial,cfier); //uint64_t chunk1minpop = 8, chunk2minpop = 8; while (pcstart != pcend) { pcstart = pcend & pcend[8]; pattern salvo = pcend - pcstart; if (salvo.nonempty() && gliders.nonempty()) { int64_t diag = 0; int64_t gliders_bbox[4] = {0}; int64_t pcend_bbox[4] = {0}; gliders.getrect(gliders_bbox); pcend.getrect(pcend_bbox); int64_t horizontal = (pcend_bbox[0] + pcend_bbox[2] - gliders_bbox[0]); int64_t vertical = (pcend_bbox[1] + pcend_bbox[3] - gliders_bbox[1]); if (diag < horizontal) { diag = horizontal; } if (diag < vertical) { diag = vertical; } diag += 512; diag -= (diag & 255); gliders = gliders(diag, diag); } gliders += salvo; if (clock()>=depthNextSaveTime[depth]) { depthNextSaveTime[depth] = clock()+30*CLOCKS_PER_SEC; // save progress std::ostringstream ss; ss << "current" << depth << ".mc"; std::ofstream out(ss.str()); (pcstart + gliders).write_macrocell(out); } if (depth>0) { if (depthStLen[depth]<0.5) { std::cout << "\033[36;1m Reached optimal ST -> break.\033[0m" << std::endl; break; } } pattern inpat2 = pcstart; if (has_isolated_block(pcstart)) { pattern chunk = get_lowerright(pcstart, inpat2, 8, 32, cfier, extra); // if (chunk != pcstart) { pattern remainder = pcstart - chunk; pcend = remainder + preiterate(chunk, cfier, 0, depth+1, extra + remainder); std::cout << "back to preiterate A " << depth << " " << depthStLen[depth+1]; if (pcend == pcstart) { std::cout << " with no progress" << std::endl; } else { std::cout << " with a progress" << std::endl; continue; } } inpat2 -= get_isolated_block(inpat2); } pcend = precurse(pcstart, cfier, 0, 1, 1, 0, ideal, depth); std::cout << "back to preiterate B " << depth << " " << depthStLen[depth]; if (pcend != pcstart) { std::cout << " with a progress" << std::endl; continue; } if (depth>0) { if (depthStLen[depth]<0.5) { std::cout << "\033[36;1m with optimal ST -> break.\033[0m" << std::endl; break; } } std::cout << " with no progress" << std::endl; if (inpat2.nonempty()) { pattern chunk = get_lowerright(pcstart, inpat2, 8, 25, cfier, extra); if (chunk != pcstart) { pattern remainder = pcstart - chunk; pcend = remainder + preiterate(chunk, cfier, 0, depth+1, extra + remainder); std::cout << "back to preiterate C " << depth << " " << depthStLen[depth+1]; if (pcend == pcstart) { std::cout << " with no progress" << std::endl; } else { std::cout << " with a progress" << std::endl; continue; } } } // attempt deeper constructions: pcend = precurse(pcstart, cfier, 1, 1, 4096, 0, ideal, depth); std::cout << "back to preiterate D " << depth << " " << depthStLen[depth]; if (pcend != pcstart) { std::cout << " with a progress" << std::endl; continue; } if (depth>0) { if (depthStLen[depth]<0.5) { std::cout << "\033[36;1m with optimal ST -> break.\033[0m" << std::endl; break; } } std::cout << " ending with no progress" << std::endl; } return (pcstart + gliders); } pattern preiterate(pattern initial, classifier &cfier, int64_t *ideal, uint64_t depth = 0) { std::cout << "preiterate0 " << ((ideal==0)?"0":"i") << " " << depth << std::endl; lab = initial.getlab(); rule = initial.getrule(); pattern extra(lab, "", rule); return preiterate(initial, cfier, ideal, depth, extra); } pattern preiterate(pattern initial, classifier &cfier) { pattern findme(initial.getlab(), "3b2o$2bo2bo$bob2obo$obo2bobo$obo2bobo$bob2obo$2bo2bo$3b2o!", initial.getrule());
pattern m = initial.match(findme);
pattern im = initial - m.convolve(findme);

if (m.empty()) {
return preiterate(im, cfier, 0, 0);
} else {
int64_t ideal[4] = {0};
m(3, 3).getrect(ideal);
return preiterate(im, cfier, ideal, 0);
}
}

};

}
`
May be next "plenty of time" could be spent on dynamization, but there are still situations (with bespoke active) when a lot of steps are tried unsuccessfully, what majorizes the running time and I do not expect it could be avoided.

Comparision with version on previous post:
8315/38->8259/28, 8347/27->8225/28, 8372/39->8357/72!!!, 8310/38->8249/29, 8344/33->8222/29.
Seems there could be problems sometimes, but overall an improvement (I do not think the filtering current*.mc progress influenced the times much).

---------------

I start thinking about giving this topics to some students as a practice in codding ... dynamic voronoy/delanau maintainance adding/removing cluster centers. (Point location from voronoy allow easy classify pattern differences and invoke the dynamic change) persistent techniques could be helpfull if deeper search will be introduced rather to current greedy approach (but seems it works well).
cluster centers (vertices of delanau ... monomers, pairs of vertices close in delanau graph are dimers, recompute dimers containing newly created cluster is just short search around the cluster (in delanau) once a dimer is created its lexrepr could be computed (surely as well for clusters))
MST subgraph of Delanau ...

The frontier with priorities as in my variant of the search would specify recepies for which dimers/monomers/bespokes should be tried, (maintaining dimmers + monomers in the priority order whole time and bespokes in another "queue")
(partially persistent) dynamic maintainance of MST could help in evaluation of tree moves quickly (but not in utility computation to "avoid avoid").

Such dynamic approach would allow after examining dimmer make notion there is no reason to try it again (as there is no recipe for it) or if there is just one recipe (applies also for cluster/bespoke) blocked by another cluster ... make note not to test it while the cluster is present.

This would probably save a lot of work done now (when several targets are tested repeatedly after each update even when they are still blocked by he same easiy tested reason.

I did some experiments with preparing lexrepr's for given dimmer in precurse, to use the shortest salvo among all targets (dead end when frontier was not used), but the problem was a lot of preparation with an early hit and the preparation was thrown away. But in dynamic mainainance scenario this neednot be toally off (global priority queue of recipes with implicit delete (variant with small positive integer keys)? ... allowing us to remove an item temporarily ... to "after blocking cluster removal reinsert storage").

With dynamic mainainance there will be no need for recursion calls from preiterate (no need to locate chunks).

So far I got to salvo of 8178 gliders (for RiskDBCA_m3_p4_fc_#cpo) ... 8166 after about 105 more atempts with various infile.mc s... 8178->(32)8177->(30)8176->(18)8174->(20)8168->(4)8164.

It seems it will be hard to find a student to do the dynamization of the underlying graph, I have just checked for dynamic maintainance of a delaunay tree (on delaunay triangulation for point location) and it expects updates are at random ... and in our case there are very biased to maximal x+y.
I am not sure how much should it be changed to work well in our case (I did not went through the paper thoroughly yet).
Current heuristic is rather good in finding recipes for the firtst target on the list, but when this is not the case, it spends a lot of time trying the target over and over even in cases the obsacle is still there. The more such targets are there, the process slows more. Dynamic mainanance of targets and tried recipes ... would fight against this problem. (Even the test ... the deep strategy is worth trying would be for free if we maintain a list of recipes the block is obstacle for.)