Smallest Spaceships Supporting Specific Speeds (5s) Project
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- Posts: 1334
- Joined: July 1st, 2016, 3:58 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
I should probably get back to working on EPE stuff so I can bring actual B0 functionality to it along with other rulespaces.
Things to work on:
- Find (7,1)c/8 and 9c/10 ships in non-B0 INT.
- EPE improvements.
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Most non-B0 spaceships do not have a strobing equivalent, so this would not happen.AforAmpere wrote: ↑June 20th, 2022, 2:22 amFor the rules, I get why the last one exists, but it almost seems like it would incur almost a copy of half of the entire main database in the B0 one, just with some period doubling.
I was quick to recognize this finding of yours at discord as a new lowest oblique slope: (100,99)c/398.
Code: Select all
x = 6, y = 6, rule = B3aeiqy4eikrwz5ciq6cn7c/S2-ik3-ajkr4ceinqr5eikqy6-ae78
3bo$2bobo$3bobo$2bobo$bobo$3o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
-
- Posts: 1334
- Joined: July 1st, 2016, 3:58 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Ah, I was being dumb, B0/S8 rules don't strobe.LaundryPizza03 wrote: ↑June 20th, 2022, 4:53 amMost non-B0 spaceships do not have a strobing equivalent, so this would not happen.
On a different note, ships like these that pop up are annoying:
Code: Select all
x = 51, y = 52, rule = B3aeiqy4ekr5cikqy6ci7c/S2-ik3-ajkr4ceinr5eijq6-a7c8
49bo$48bobo$46b5o$48bobo$49bo18$25bobo$26bobo$24bob3o$23bo2bobo$27bo8$
17bo$16b2o$15bobo$14bobo$15bo$12bobo$11bobo$12bo$9bobo$8bobo$9bo$6bobo
$5bobo$6bo$3bobo$2bobo$bobo$3o!
I suppose in the ideal case these would be replaced by smaller ships in the end anyway, but it seems hard to do anything about otherwise (unless adjustables are added, in which case many of these would disappear).
Things to work on:
- Find (7,1)c/8 and 9c/10 ships in non-B0 INT.
- EPE improvements.
- confocaloid
- Posts: 2606
- Joined: February 8th, 2022, 3:15 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Unlikely events happen.
My silence does not imply agreement, nor indifference. If I disagreed with something in the past, then please do not construe my silence as something that could change that.
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
# Search results matching pattern o2$bobo! for 20 gen in rule B2ik3acijr4ijqy6i7c/S02aek3ijnqr4it5n6a with searchRule-matchPatt2.py using seed=1
3, B2ik3acijr4ijry5e6n7c/S02aek3ijnqr4it5en6n7c, 64, 0, 272, bobo2$o!
5, B2ik3-enqy4cijqry6in7c8/S02aek3ijnqr4it6ei8, 16, 9, 88, 3bo2$2o2bobo!
3, B2ik3-enqy4cijqy6i7c/S02aek3ijnqr4eit5en6aen, 28, 7, 164, o2$bobo!
Code: Select all
x = 18, y = 11, rule = B3-cnqy4k5ekr6cn/S2-ci3-aky4einrtyz5aejk6cei7c
15bo$15b2o$16b2o$13b2obo$14b2o$12b2o2$2o$obo$2bo$3o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
# Search results matching pattern 8bo$6b2obo$4bob3obo$5b5obo$3b9o$2b8obo$ob7obo$o2b5obo$4b3obo$5bobo$6bo! for 11 gen in rule B3acijy4ceqtyz5cekqy6-n7c/S2ckn3-ajky4eiqy5jknry6-kn78 with searchRule-matchPatt2.py using seed=1
28, B2i3aijky4ciqtwyz5cekq6ack7/S2ck3-ajk4iqwy5ejkny6-kn78, 1168, 0, 2336, 4bo$3bobo$2b3obo$b6o$5obo$4obo$b2obo$3bo!
50, B2in3aeijy4iqtyz5cekqy6ack7c/S2cn3-ajky4cqrty5jny6-k78, 1179, 0, 2358, 6bo$4b2obo$2bob3obo$bob5obo$2b8o$ob6obo$2b5obo$2b4obo$2b3obo$3bobo$4bo!
38, B2n3-enqr4ciqtwz5cekq6-en7c8/S2ck3ceinr4eqrw5ejny6-kn78, 1004, 0, 2008, 4bo$2b2obo$b4obo$ob4obo$2b6o$2b4obo$ob3obo$b3obo$2bobo$3bo!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- NimbleRogue
- Posts: 524
- Joined: January 11th, 2021, 11:48 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
- Attachments
-
- updated.txt
- (1.73 MiB) Downloaded 27 times
Code: Select all
x = 4, y = 3, rule = B3-cnqy4e5kr6n7c/S2-i3-ay4einrtyz5cejn6cin78
bo$3o$ob2o!
Code: Select all
#14c/85265o
x = 10, y = 4, rule = B2-an3-iqy4iknrtz5aijqy6aei78/S02ck3nqy4eiqrtwy5-ekq6-i78
2bo4bo$3b4o$ob6obo$2b6o!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
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Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
30 new and 52 improved speeds out of 82 ships found after testing 29M candidate rules. 14 new and 74 improved speeds out of 88 ships found after testing 47M candidate rules.
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Here is an updated version of the database, including error corrections and 216 new results found by NimbleRogue using the regular searchRule. Additionally, all the results have been moved the minrule; for example, the 6c/12o in B0. (All of NimbleRogue's results were verified to be correct, but this may not hold in rules where odd generations tend to have lower population.)
Errata: Aside from wrong speeds, orientations, populations, and placements that may have been automatically corrected, the following errors were found.
- The (6,4)c/8 was found to acutally be (3,2)c/4; I have found the following replacement:
Code: Select all
x = 2, y = 4, rule = B01e2cen3airy4aijkn5acjq6ek/S01e2kn3akr4crz5jq6ae bo2$bo$o!
- The c/156d had a damaged RLE (left). The corrected RLE from New Gliders DB is shown on right.
Code: Select all
x = 26, y = 6, rule = B0138/S01235 4bo19bo$b2o18b2o2bo$bobo17bobobo$2b2o18b2o$o19bo$b2o18b2o!
Code: Select all
x = 3, y = 4, rule = B01c2-c3-cery4-nrz5cny6n7e/S0123-acjk4ert5-aik6ain
2bo2$2bo$o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Regardless, I have fixed a minor issue regarding an undefined "rule" variable in the importNewShips() function; this fix can be trivially implemented in the regular 5S_update as well.
Code: Select all
def importNewShips():
newshiptxt = g.getclipstr()
status = 'Searching clipboard for new ships ...'
Nnew = 0
constructRLE = False
errormsg = 'Error: failed to recognise rle pattern. Current pattern string:\n'
shiprle = ''
rulestr = ''
global newShipsList
for line in newshiptxt.splitlines():
line = line.strip()
if constructRLE == False:
# Try to import sss format ship
newship = sssb0.parseshipstr(line)
if not newship:
# Try to import rle format ship
if(line[0:4] == 'x = '):
# Found beginning of rle formatted pattern
if constructRLE == True:
g.note(errormsg + rulestr + shiprle + line)
constructRLE = True
parts = line.split('=')
if len(parts)==4:
rulestr = parts[3].strip()
else:
constructRLE = False
g.note(errormsg + line)
shiprle = ''
else:
# Try to import sss format ship (just in case rle recognizer is confused)
newship = sssb0.parseshipstr(line)
if newship:
g.note(errormsg + rulestr + shiprle + line)
# Continue constructing rle pattern string
shiprle += line
if '!' in line:
constructRLE = False
newship = (0, rulestr, 0, 0, 0, shiprle)
# Rest of function is as in the current version
Code: Select all
3, B01c2-c3-cery4-enrz5cny6n7e/S0123-acjk4ert5-aik6ain, 44, 0, 44, 2bo2$2bo$o!
3, B01e2aik3c4jy5ikq7e/S2ac3eijqy4kt, 6, 0, 36, o$bo$bo!
3, B01e2a3ci4jqy5ik6n7e/S2a3eiy4kqt5i, 9, 1, 38, 2bo$2o!
3, B01e2akn3c4jk5aik7e/S2a3y4kt5k, 2, 2, 52, b2o$o!
3, B01e2a3cy4jqy5aik7e/S2ac3i4kt, 4, 3, 22, 2bo$2o!
3, B01e2a3c4jky5cik6n7e/S2a3aiq4kt, 10, 0, 36, bo$bo$o!
3, B01e2a3cq4ajq5ein/S2a4jktw5y6e, 5, 3, 12, o$2bo2$2bo!
3, B01c2c3-anry4k5c/S12n3e5cn6e, 1, 1, 48, o2$o$bo!
3, B01c2c3-anry4ny5c6a/S13e4i5cn6e, 4, 4, 32, o2$o$bo!
3, B01c2c3-anry4e5cj/S12in3e4rz5cejnr6en, 5, 5, 28, o2$o$bo!
3, B01c2c3eijq4twz5acj6k/S14cei5ceny6e, 12, 12, 308, bobo$o!
3, B01c2c3eijq4twz5cj6ak7c/S12c3q4ceij5ce6e, 5, 4, 12, o2$b2o!
13, B013kry4aejkqwz5ajny6ei/S12k3ay4jk6in, 11, 11, 3948, 2ob2o$2b2o$ob2o$obo3$2o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
As a result, some of the ships in the new DB are incorrect; I am running through to find the erroneous entries and reconstruct the database.
EDIT: I retracted an attempted fix that didn't work. In the meantime, comment out the line "setminisorule(period)" in canon5Sship in sssb0.py.
Code: Select all
setminisorule(period)
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
EDIT2: Made a bit faster.
EDIT3: Errors again, fixing...
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 5, y = 5, rule = B02i3cekny4ceijrw5inqy6-ci7/S2cei3cenry4citw5ceknr6ikn
4bo3$o$4bo!
Code: Select all
def getRuleRangeElems(period, ruleRange = 'minmax'):
if g.empty():
return
if period < 1:
return
rule = g.getrule().split(':')[0]
if not (rule[0] == 'B' and '/S' in rule):
g.exit('Please set Golly to an isotropic 2-state rule.')
# Parse rule string to list of transitions for Birth and Survival
oldrule = rule
Bstr, Sstr = rule.split('/')
Bstr = Bstr.lstrip('B')
Sstr = Sstr.lstrip('S')
b_need = parseTransitions(Bstr)
b_OK = list(b_need)
b_OK.remove('0') #fixme
s_need = parseTransitions(Sstr)
s_OK = list(s_need)
patt = g.getcells(g.getrect())
# Record behavior of pattern in current rule
clist = []
poplist = []
for i in range(0,period):
g.run(1)
clist.append(g.getcells(g.getrect()))
poplist.append(g.getpop())
finalpop = g.getpop()
if 'min' in ruleRange:
# Test all rule transitions to determine if they are required
for t in b_OK:
g.setgen('0')
#if int(g.getgen())%2 == 1:
# g.warn(str([rule,t,g.getgen()])) #fixme
b_need.remove(t)
g.setrule('B' + ''.join(b_need) + '/S' + Sstr)
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(patt)
for j in range(0, period):
g.run(1)
try:
if not(clist[j] == g.getcells(g.getrect())):
b_need.append(t)
break
except:
b_need.append(t)
break
b_need.sort()
for t in s_OK:
g.setgen('0')
#if int(g.getgen())%2 == 1:
# g.warn(str([rule,t,g.getgen()])) #fixme
s_need.remove(t)
g.setrule('B' + Bstr + '/S' + ''.join(s_need))
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(patt)
for j in range(0, period):
g.run(1)
try:
if not(clist[j] == g.getcells(g.getrect())):
s_need.append(t)
break
except:
s_need.append(t)
break
s_need.sort()
if 'max' in ruleRange:
# Test unused rule transitions to determine if they are allowed
allRuleElem = [t for l in Hensel for t in l]
for t in allRuleElem:
if t in b_OK:
continue
b_OK.append(t)
g.setrule('B' + ''.join(b_OK) + '/S' + Sstr)
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(patt)
for j in range(0, period):
g.run(1)
try:
if not(clist[j] == g.getcells(g.getrect())):
b_OK.remove(t)
break
except:
b_OK.remove(t)
break
b_OK.sort()
for t in allRuleElem:
if t in s_OK:
continue
s_OK.append(t)
g.setrule('B' + Bstr + '/S' + ''.join(s_OK))
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(patt)
for j in range(0, period):
g.run(1)
try:
if not(clist[j] == g.getcells(g.getrect())):
s_OK.remove(t)
break
except:
s_OK.remove(t)
break
s_OK.sort()
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(patt)
g.setrule(oldrule)
return b_need, s_need, b_OK, s_OK
Code: Select all
3, B02i3cekny4ceijrw5inqy6-ci7/S2cei3cenry4citw5ceknr6ikn, 3, 2, 14, 4bo3$o$4bo!
3, B02in3cky4-aknqt5jnry6-i7c/S2ei3-cy4cejz5jny6-ae, 8, 5, 16, 3bo4$o2bo!
3, B03cjky4cwyz5ckry6-ai/S2in3-ejkn4-aikn5ekqry6-ai, 7, 5, 16, 3bo$o3$3bo!
3, B03ceqry4cjkwyz5ejqry6cin/S2ik3-ceiq4cijqrt5cenqy6in, 6, 3, 16, 5bo4$o3bo!
3, B02n3-inqr4ciqrtw5cq6-in/S2ikn3a4jr5y, 4, 2, 66, o$3bo3$bo!
3, B03cekny4cjkz5ekr6ak/S2-cn3aj4ej5a, 4, 3, 68, o3$2o!
- B03cekny4eirw5inq6aek7c/S2cei3cenr4it5ceknr6k
- B02in3cky4eijrwyz5jnr6-ik7c/S2ei3-cy4cejz5jny6ckn
- B03cjky4cwyz5ckr6en/S2in3aciqry4qrty5k6cen
- B03ceqry4jwyz5ejqry6cin/S2ik3-ceiq4cijqrt5nqy6i
- B02n3-inqr4ciqrtw5q6aek/S2ikn3a4jr5y
- B03cekny4cjkz5ekr6ak/S2-cn3aj4j5a
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 17, y = 22, rule = B3-cnqy4jz5cr6i7c/S2-i3-a4einrtyz5ae6cn7
b2o$2o$o7$14b3o$16bo$12bo3bo$13b3o$5b2o5b2o$5b2o2$7bo$6b2o$6bobo$8b2o$
6b3o$5bo!
Code: Select all
x = 34, y = 20, rule = B3aeijr4ejk5ckr6cn8/S2-i3-a4einrtyz5acekr6cen7c8
30b2o$30bob2o$b2ob2o27bo$2o3b2o22b2o2bo$32bo$30bo6$bo$b2o$bob2o$2b2o
22b2o$26bobo$28b2o$25b4o$26b2o$25bo!
(17,7)c/1788 in the same rule as the (18,6)c/1502:
Code: Select all
x = 34, y = 40, rule = B2k3acijr4cijy6cn/S2aek3-acey4ceiqty5aeknr6cen7c8
2ob2o2b2o$bo2bobob2o$b2o3bobo$3b3obo$5b2o11$32b2o$31bobo$31bo$31b3o15$22b3o$
22bo2bo$24b2o$23bo$23bo2$23bo!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- NimbleRogue
- Posts: 524
- Joined: January 11th, 2021, 11:48 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
- Attachments
-
- B0 updated ships.sss.txt
- (2.87 MiB) Downloaded 21 times
Code: Select all
x = 4, y = 3, rule = B3-cnqy4e5kr6n7c/S2-i3-ay4einrtyz5cejn6cin78
bo$3o$ob2o!
Code: Select all
#14c/85265o
x = 10, y = 4, rule = B2-an3-iqy4iknrtz5aijqy6aei78/S02ck3nqy4eiqrtwy5-ekq6-i78
2bo4bo$3b4o$ob6obo$2b6o!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
This datafile contains incorrect rules, such as:
Code: Select all
x = 2, y = 4, rule = B01e3k4ajqz5cn6i/S1e3a4ik5k
2o$bo2$o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- NimbleRogue
- Posts: 524
- Joined: January 11th, 2021, 11:48 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
I forgot to change import sss to import sssb0. in the code lol.LaundryPizza03 wrote: ↑August 16th, 2022, 7:07 amThis datafile contains incorrect rules, such as:Did you implement the corrections that I posted previously before processing the results?Code: Select all
x = 2, y = 4, rule = B01e3k4ajqz5cn6i/S1e3a4ik5k 2o$bo2$o!
Code: Select all
x = 4, y = 3, rule = B3-cnqy4e5kr6n7c/S2-i3-ay4einrtyz5cejn6cin78
bo$3o$ob2o!
Code: Select all
#14c/85265o
x = 10, y = 4, rule = B2-an3-iqy4iknrtz5aijqy6aei78/S02ck3nqy4eiqrtwy5-ekq6-i78
2bo4bo$3b4o$ob6obo$2b6o!
- NimbleRogue
- Posts: 524
- Joined: January 11th, 2021, 11:48 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
I forgot to change import sss to import sssb0. in the searchrule code lol.LaundryPizza03 wrote: ↑August 16th, 2022, 7:07 amThis datafile contains incorrect rules, such as:Did you implement the corrections that I posted previously before processing the results?Code: Select all
x = 2, y = 4, rule = B01e3k4ajqz5cn6i/S1e3a4ik5k 2o$bo2$o!
Code: Select all
x = 4, y = 3, rule = B3-cnqy4e5kr6n7c/S2-i3-ay4einrtyz5cejn6cin78
bo$3o$ob2o!
Code: Select all
#14c/85265o
x = 10, y = 4, rule = B2-an3-iqy4iknrtz5aijqy6aei78/S02ck3nqy4eiqrtwy5-ekq6-i78
2bo4bo$3b4o$ob6obo$2b6o!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
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Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Good. You should still be able to recreate the results correctly if you've saved the defective matchPatt2-test.txt, by using the exact seeds and starting patterns.NimbleRogue wrote: ↑August 16th, 2022, 4:24 pmI forgot to change import sss to import sssb0. in the searchrule code lol.LaundryPizza03 wrote: ↑August 16th, 2022, 7:07 amThis datafile contains incorrect rules, such as:Did you implement the corrections that I posted previously before processing the results?Code: Select all
x = 2, y = 4, rule = B01e3k4ajqz5cn6i/S1e3a4ik5k 2o$bo2$o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
Traceback (most recent call last):
File " «string>", line 1, in «module)
File"C/UserslaveryDownloads\sssss\searchRule_matchPatt2_b0.pyline264,in«module
shipRLE = sssb0.giveRLE(g.getcells(g, getrectO))
File "sssb0 py*, line 192, in giveRLE
mcc = min(clist chunks)
ValueError: min0 arg is an empty sequence
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 74, y = 33, rule = B3aeijr4jkz6cn7c8/S2-i3-ak4ceinrtz5acjkr6cn78
o$b3o$3bo$bobo$b2o62bobo$66bo4bo$65bo5b2o$67bo4b2o$65b2obobobo$68bob2o
$68b2o16$65bo2bo$65b2o2bob2o$66bo2b3obo$67b2o4bo$67b2obob2o$67bo3bo$
68b3o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
-
- Posts: 2200
- Joined: August 5th, 2016, 10:27 am
- Location: 拆哪!I repeat, CHINA! (a.k.a. 种花家)
- Contact:
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Okay, I have to do that myself. Forget to publish till now. Some recent searches were done with the following modification:
Code: Select all
# searchRule-matchPatt2.py
# A new implementation of searchRule-matchPatt.py
# Searches for small oscillators and spaceships in the isotropic 2-state CA
# rulespace where several phases of the starting pattern match the evolution
# of the pattern in the current layer.
#
# by Arie Paap, Jun 2019
# Original random rule search scripts by Arie Paap and Rhombic
#
# Differences from searchRule-matchPatt.py:
# - Press 'q' to stop searching (instead of aborting with 'Esc')
# - Uses routines from sss.py library to analyse small patterns in isotropic
# 2-state rules
# - Maintains record of found spaceship speeds to avoid reporting duplicate
# results (set bUniqueSpeeds to false to disable)
# - Optionally allows pattern to be run for a short stabilisation time prior
# to testing for periodicity
# - Optionally loads previously found speeds from output file at start of
# search
# - Optionally also load ships from 5S project into record of known speeds
# - Random rule generator uses an iterator which pseudo randomly scans the
# entire rulespace
#
# Hacked by GUYTU6J in 2021 to add these features:
# - Save the random rule iterators' current state when interrupting the
# search so that it can be resumed (repeating the same search without
# changing the seed will search the same rules)
# - Save oscillators and spaceships in different files
# - Report counts of results by type in message
#
# Potential features to be added
# - XXX Separate components expanding in different directions
# - XXX Separate non-interacting spaceships and oscillators
from __future__ import division
import time
import timeit
import golly as g
import sss
timer = timeit.default_timer
# Search parameters
# Exclude ships with period less than minShipP
minShipP = 64
# Fast ships have a lower threshold for interesting period
minSpeed = 0.5
fastShipP = 9
# Exclude oscillators with period less than minOscP
minOscP = 16
# Maximum period to test the pattern for
maxGen = 65536 # 65536
# Maximum population in any phase
maxPop = 1000 # 1000
# Maximum bounding box dimension (0 to disable)
# - Early abort testRule() when stabilisation not detected e.g. when
# spaceships emitted in multiple directions
maxDim = 500 # 500
# Allow search for oscillators
bOsc = False
# Output files
resultsFile_spaceships = 'matchPatt2-spaceships.txt'
resultsFile_oscillators = 'matchPatt2-oscillators.txt'
# Only record ships with unique speed? (or smaller than previously found)
bUniqueSpeeds = True # True
# Import 5S project into known speeds?
bImport5S = True # True
# Special case speeds to ignore (useful when bUniqueSpeeds = False)
ignoreResults = [] # A list of the form: [(dx, dy, P)]
# Number of generations to match pattern behaviour
s = g.getstring('How many generations to remain unchanged:', '', 'Rules calculator')
if not s.isdigit():
g.exit('Bad number: %s' % s)
numgen = int(s)
if numgen < 1:
g.exit('Generations to match must be at least 1.')
# Seed for random rule generator
seed = 1
seed_0 = seed
seedFile = 'seed.txt'
# Initial stabilisation time
# Test pattern is run in each random rule for stabGen generations before
# periodicity detection begins
# Set to 0 to only match the test pattern
stabCycles = 10 # 10
stabGen = stabCycles * numgen
# Stability check periodicity
# - Used to detect if pattern becomes periodic after initial stabilisation time
# Pattern won't be detected as an oscillator or spaceship, just avoids
# simulting until maxGen generations have passed.
stabCheckP = 24 # 24
# Minimum population criteria
# - Probably redundant now that stability checking has been added
if bOsc: minPop = 2 # Patterns with 0, or 1 cells can not be oscillators
else: minPop = 3 # Patterns with 0, 1, or 2 cells can not be ships
# Test pattern in given rule
# Original pattern is evolved in the given randomly generated rule.
# Pattern is evolved for a short stabilisation period and then tested to
# determine if it has become an oscillator or a spaceship.
def testRule(rulestr):
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(origPatt)
g.setrule(rulestr)
g.run(stabGen)
if g.empty():
return ()
pop = int(g.getpop())
if (pop < minPop or pop > maxPop):
return ()
r = g.getrect()
testPatt = g.transform(g.getcells(r),-r[0],-r[1])
testPop = int(g.getpop())
testRect = g.getrect()
stabPatt = list(testPatt)
stabPop = testPop
for ii in range(maxGen):
g.run(1)
pop = int(g.getpop())
if (pop < minPop or pop > maxPop):
break
if (pop == testPop):
# Test for periodicity
r = g.getrect()
if testPatt == g.transform(g.getcells(r),-r[0],-r[1]):
period = ii+1
dy, dx = sss.minmaxofabs((r[0] - testRect[0], r[1] - testRect[1]))
if (dx == 0):
# Oscillator (reject if low period or bOsc is False)
if bOsc and period >= minOscP:
return (0, 0, period)
elif ( period >= minShipP ):
# Spaceship
return (dx, dy, period)
elif ( (dx + dy/1.9) / (period * 1.0) > minSpeed and period >= fastShipP ):
# Fast spaceship
return (dx, dy, period)
break # Pattern is a low period oscillator or spaceship
# Stability check
if (ii % stabCheckP == 0):
r = g.getrect()
# First check for BBox expansion
if maxDim > 0 and max(r[2:4]) > maxDim:
# Pattern is expanding
# XXX Attempt to separate components expanding in different directions
break
currPatt = g.transform(g.getcells(r),-r[0],-r[1])
if (pop == stabPop and currPatt == stabPatt):
# Pattern has stabilised to low period oscillator / spaceship
break
stabPop = pop
stabPatt = list(currPatt)
return ()
# Preload foundSpeeds from existing results file
foundSpeeds = {}
def loadKnownSpeeds(resultsFile):
global foundSpeeds
g.show('Loading known speeds from file %s' % resultsFile)
try:
with open(resultsFile, 'r') as rF:
for line in rF:
# Trust the data in the sss file, no need to test ships
ship = sss.parseshipstr(line)
if not ship:
continue
minpop, _, dx, dy, period, _ = ship
try:
if foundSpeeds[(dx, dy, period)] <= minpop:
# Skip this speed unless the current ship is smaller
continue
except KeyError:
pass
foundSpeeds[(dx, dy, period)] = minpop
except IOError:
return 1
return 0
if bImport5S:
bUniqueSpeeds = True
shipFiles = ['Orthogonal ships.sss.txt', 'Diagonal ships.sss.txt', 'Oblique ships.sss.txt']
else:
shipFiles = []
status = 'Results file: %s, %s.' % (resultsFile_oscillators, resultsFile_spaceships)
if bUniqueSpeeds:
with open(resultsFile_oscillators, 'a+') as rF:
pass
shipFiles.append(resultsFile_oscillators)
for F in shipFiles:
if loadKnownSpeeds(F):
g.exit('Failed to load known speeds from file: %s' % F)
with open(resultsFile_spaceships, 'a+') as rF:
pass
shipFiles.append(resultsFile_spaceships)
for F in shipFiles:
if loadKnownSpeeds(F):
g.exit('Failed to load known speeds from file: %s' % F)
status += ' %d known speeds loaded.' % len(foundSpeeds)
# Set up the search with the current pattern
r = g.getrect()
origPop = int(g.getpop())
origPatt = g.transform(g.getcells(r),-r[0],-r[1])
origRule = g.getrule()
Nfound = 0 # Total result count
Nosc = 0 # Oscillator count
Northo = 0 # Orthogonal spaceship count
Ndiago = 0 # Diagonal spaceship count
Nobliq = 0 # Oblique spaceship count
updateP = 1000 # Message update period
saveP = 32768 # Seed saving period
lastRule = ''
# --------------------------------------------------------------------
# Generator for random order rule iterator over a given rulespace
# Uses a linear congruential generator to iterate over all the rules
# in the given rulespace in a pseudo random order
# The rule space is specified by four lists:
# B_need - the required Birth transitions
# S_need - the required Survival transitions
# B_OK - the optional Birth transitions
# S_OK - the optional Survival transitions
# Provide a value to seed to specify the starting point of the generator
# seed < 2^(len(B_OK) + len(S_OK))
# --------------------------------------------------------------------
def iterRuleStr(B_OK, S_OK, B_need=[], S_need=[], usingseed=1):
# Pseudo-random rule index generator using an LCG
def randRuleIdx(nB_OK, nS_OK, usingseed=1):
# LCG state initialisation
m = 2**(nB_OK + nS_OK)
c = 7
a = 5
# Reduce collisions for small seed values
for _ in range(3):
usingseed = (a*usingseed+c) % m
# Masks for birth and survival transitions
maskS = 2**nS_OK - 1
maskB = (2**nB_OK - 1) << nS_OK
for ii in range(m):
global seed
usingseed = (a*usingseed+c) % m
seed = usingseed
randS = usingseed & maskS
randB = (usingseed & maskB) >> nS_OK
yield (randB, randS)
# Transition String retrieval
def getTransStr(tList, idx):
trans = ''
for t in tList:
if (idx & 1):
trans += t
idx = idx >> 1
return trans
Bstr = 'B' + ''.join(B_need)
Sstr = '/S' + ''.join(S_need)
for (Bidx, Sidx) in randRuleIdx(len(B_OK), len(S_OK), seed):
rulestr = Bstr + getTransStr(B_OK, Bidx) + Sstr + getTransStr(S_OK, Sidx)
yield rulestr
# Above copied from original sss.py library to enable saving seeds. -GUYTU6J
# --------------------------------------------------------------------
try:
# Begin the search
g.new('MatchPatt')
g.putcells(origPatt)
# Determine the rulespace to search
B_need, S_need, B_OK, S_OK = sss.getRuleRangeElems(numgen)
rulerange = sss.rulestringopt('B' + ''.join(sorted(B_need)) + '/S' + ''.join(sorted(S_need)) + \
' - B' + ''.join(sorted(B_OK)) + '/S' + ''.join(sorted(S_OK)))
B_OK = [t for t in B_OK if t not in B_need]
S_OK = [t for t in S_OK if t not in S_need]
rulespace = len(B_OK) + len(S_OK)
status += ' Matching pattern works in 2^%d rules: %s' % (rulespace, rulerange)
g.show(status)
g.update()
time.sleep(2)
# Results header
with open(resultsFile_oscillators, 'a') as rF:
msg = '\n# Oscillator search results matching pattern %s for %d gen' % (sss.giveRLE(origPatt), numgen)
msg += ' in rule %s with searchRule-matchPatt2.py using seed=%d\n' % (origRule, seed_0)
rF.write(msg)
with open(resultsFile_spaceships, 'a') as rF:
msg = '\n# Spaceship search results matching pattern %s for %d gen' % (sss.giveRLE(origPatt), numgen)
msg += ' in rule %s with searchRule-matchPatt2.py using seed=%d\n' % (origRule, seed_0)
rF.write(msg)
with open(seedFile, 'a') as rF:
msg = '\n# Used seed starting from %d and with interval %d \n' % (seed_0, saveP)
rF.write(msg)
start_time = timer()
# Random rule iterator. Change seed to repeat search with different rules from given rulespace
for (ii, rule) in enumerate(iterRuleStr(B_OK, S_OK, B_need, S_need, usingseed=seed), start=1):
result = testRule(rule)
if result and (not result in ignoreResults):
minpop = int(g.getpop())
mingen = 0
# Find minimum population
for gen in range(1, result[2]):
g.run(1)
pop = int(g.getpop())
if pop < minpop:
minpop = pop
mingen = gen
if bUniqueSpeeds:
g.run(1)
try:
if foundSpeeds[result] <= minpop:
# Skip this speed unless the current ship is smaller
continue
except KeyError:
pass
foundSpeeds[result] = minpop
# Interesting pattern found
Nfound += 1
dx, dy, period = result
lastRule = rule
if dy == 0:
if dx == 0:
description = 'Found oscillator with period = %d' % period
resultsFile = resultsFile_oscillators
Nosc += 1
else:
description = 'Found orthogonal spaceship with speed = %dc/%d' % (dx, period)
resultsFile = resultsFile_spaceships
Northo += 1
elif dy == dx:
description = 'Found diagonal spaceship with speed = %dc/%d' % (dx, period)
resultsFile = resultsFile_spaceships
Ndiago += 1
else:
description = 'Found knightship with speed = (%d, %d)c/%d' % (dx, dy, period)
resultsFile = resultsFile_spaceships
Nobliq += 1
g.show(description)
g.run(mingen+1)
shipRLE = sss.giveRLE(g.getcells(g.getrect()))
sss.setminisorule(period)
newship = (minpop, g.getrule(), dx, dy, period, shipRLE)
with open(resultsFile, 'a') as rF:
rF.write(', '.join(map(str, newship))+'\n')
if (ii % saveP == 0):
with open(seedFile, 'a') as rF:
rF.write('%d\n' % (seed))
if (ii % updateP == 0):
curr_time = timer()
g.select([])
msg = '%d objects (%d oscs, %d ortho, %d diago, %d obliq) found ' % (Nfound, Nosc, Northo, Ndiago, Nobliq)
msg += 'after testing %d candidate rules out of 2^%d rule space, %d rules/second' % (ii, rulespace, updateP/(curr_time - start_time))
msg += ', seed %d' % (seed)
start_time = curr_time
g.show(msg)
g.fit()
g.setmag(3)
g.update()
event = g.getevent()
if event == "key q none":
# Interrupt the search
with open(seedFile, 'a') as rF:
rF.write('The last seed is %d\n' % (seed))
break
g.new('')
except IOError:
g.note('Failed to open results file %s or %s for writing!' % (resultsFile_oscillators, resultsFile_spaceships))
raise
except Exception as e:
raise
finally:
g.new('Search result')
g.putcells(origPatt)
if lastRule:
g.setrule(lastRule)
g.show('%d results found after testing %d candidate rules.' % (Nfound, ii))
else:
g.setrule(origRule)
g.show('No results found after testing %d candidate rules.' % ii)
Harvest Moon
2-engine p45 gliderless HWSS gun
Small p2070 glider gun
Forgive me if I withhold my enthusiasm.
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 5364, y = 4514, rule = B3-cjn4jkqtz5cjy6ci/S2-ci3-aey4cei5ae6i
7bo$6bobo$5bo3bo$5b2ob2o22$17b3o$16bo3bo$16b2ob2o2$22b2o$21b2ob2o$22bo
2bo$25bo$23b2o4$7b2o2$3b2obo$3b3obo70b3o$5b2o7b3o60bo3bo$6b2obo4bobo
60b2ob2o$6bo2bo4b3o$7b3o3b4o$12b2obo7b2o$13b3o7bobo$14bo10bo$23bobo$
23b2o4$4bo$3b3o$4ob2o$ob4o$4o3$24b2ob2o$24bo3bo$25bobo$26bo3$33bo$33b
2o$34b2o2$36bo$27b3o6b3o$25b2o2bo8bo$24b2o2b2o7b2o$25bobo$26bo$28b3o$
28b2o2bo$29b2o120bo$30b2o118bobo$28b2o119bo3bo$27b2o2bo117b2ob2o$27b3o
$25bo$24bobo$23b2o2b2o7b2o$24b2o2bo8bo3b2ob2o$26b3o6b3o3bo3bo$35bo6bob
o$43bo$33b2o$32b2o11b3o$32bo11bo3bo$44b2ob2o25$222b3o$221bo3bo$221b2ob
2o36$295bo$294bobo$293bo3bo$293b2ob2o37$366b3o$365bo3bo$365b2ob2o36$
439bo$438bobo$437bo3bo$437b2ob2o37$510b3o$509bo3bo$509b2ob2o36$583bo$
582bobo$581bo3bo$581b2ob2o5$256b3o$250b3o3bo2b2o$248b2o2bo3b2o2b2o$
247b2o2b2o5bobo$248bobo8bo$249bo5$274bo$273b3o$272b2o3bo$273b2o2b2o$
274b2obo$276bo3$262b2o$261b4o$260b2ob2o$261b6o$263bo$263b3o$264bo8$
654b3o$653bo3bo$653b2ob2o5$266b2ob2o$266bo3bo$267b3o2$271bo$270bobo$
269bo3bo$269b2ob2o24$727bo$726bobo$725bo3bo$725b2ob2o37$798b3o$797bo3b
o$797b2ob2o36$871bo$870bobo$869bo3bo$869b2ob2o37$942b3o$941bo3bo$941b
2ob2o36$1015bo$1014bobo$1013bo3bo$1013b2ob2o37$1086b3o$1085bo3bo$1085b
2ob2o28$512b3o$512bobo$512bo2b2o$511b2ob4o$516bo$497bo17bo$496b3o15bo$
481b2o6bo5b2ob2o$479b2ob2o4bobo668bo$479bo2bo4bo3bo666bobo$479bo2bo4b
2ob2o18bo646bo3bo$480b3o13bo660b2ob2o$483bo8b2obo6bo$483b2o7bo9b2o$
483b2o6bo2bo8bo7b3o$490bo2bo10bo5bo2bob2o$491b3o16bo2bobobo$492bo11bo
5b2o4b3o$503bobo7bo2b2o$504bo8bobo$513b3o8$511bo2bo$510bo4bo$509bo5bo$
509bo4b2o$509b2o5$494b3o$488b3o5bo$488bo6b2o$488b2o2$508b2ob2o$508bo3b
o$509bobo$510bo3$1230b3o$1229bo3bo$1229b2ob2o3$513b3o$512bo2bo$512b2o
2bo$512bo4bo$513bobobo$512b2o2bo$500b6o7bo2bo$499bo2bo2bo8bobo$499bo3b
3o8b2o$499bo2bo$500b3o23$1303bo$1302bobo$1301bo3bo$1301b2ob2o37$1374b
3o$1373bo3bo$1373b2ob2o36$1447bo$1446bobo$1445bo3bo$1445b2ob2o37$1518b
3o$1517bo3bo$1517b2ob2o36$1591bo$1590bobo$1589bo3bo$1589b2ob2o37$1662b
3o$1661bo3bo$1661b2ob2o6$724bo$723bobo$722bo3bo$721b2o2bobo$722b2ob2o
2$727bo$724b4o$724bobo$724b3o2b2o2bo$720b2o5b3o2bobo$720bobo4bobo2b2ob
o$713b3o6bo4b3o6bo$712bo2bo4b3o9bo2bo$711bo20b3o3b3o$711bo2bobo16bo3bo
3bo$707bo3b2o2b2o20b2ob2o$707bo2bo3b2o$707bo4$721bo25bo$720b3o23b3o$
717b4ob2o21b2ob4o3b2o$717bob4o23b4obo3bobo$717b4o27b4o4b2o4$1735bo$
762bo971bobo$761b3o969bo3bo$761bob2o968b2ob2o$762b2o$757bo2$754b2o$
753bob2o$754bo2bo$755b4o$746b3o5b2o2bo$746bobo6b3o$746bobo7bo$744b2ob
2o$744bo3bo$744bo3bo$745b3o23$778b2ob2o1023b3o$777bo2b3o1022bo3bo$777b
o1027b2ob2o$778bo$777b2o$777b2o9$760b3o$760bo6bo$760bobobo2bo$761b3obo
$763b2o$764b2o$764b2o18$1879bo$1878bobo$1877bo3bo$1877b2ob2o37$1950b3o
$1949bo3bo$1949b2ob2o36$2023bo$2022bobo$2021bo3bo$2021b2ob2o37$2094b3o
$2093bo3bo$2093b2ob2o36$2167bo$2166bobo$2165bo3bo$2165b2ob2o37$2238b3o
$2237bo3bo$965b3o1269b2ob2o$965bobo$963b2o2bo$966bo$965b2o2b3o$961b2o
4bo3bo$959b2ob2o3bo3bo$959bobo5b4o$959b3o2bobo$965bo4$975b4o$962b3o9b
2ob2o$961bo2bo10bo2bo$961bo5b2o7b3o$961bobo4b2o7bo$962b3obobo$967bo$
966bo9$988bo$986b2obo$985b2o2b2o$984b2o3bo$985b3o$986bo2$2311bo$2310bo
bo$2309bo3bo$2309b2ob2o5$992b2ob2o$992bo3bo$993bobo$994bo2$996b3o$995b
o3bo$995b2ob2o25$2382b3o$2381bo3bo$2381b2ob2o36$2455bo$2454bobo$2453bo
3bo$2453b2ob2o37$2526b3o$2525bo3bo$2525b2ob2o36$2599bo$2598bobo$2597bo
3bo$2597b2ob2o26$2520b3o$2520bobo$2519bobo$2519b2o$2517bobo$2516b3o$
2515bobobo$2516bobo$2516b2obo$2516b2o$2512b6o$2512bo3b2o152b3o$2514b3o
152bo3bo$2515bo153b2ob2o2$2507b2o$2506bo13b2o$2506bo2bo9b2ob2o$2506b2o
b2o9bo2bo$2508b2o13bo$2521b2o2$2514bo$2513b3o$2513bo3bo2b2o$2514bo2bo
2bobo85bo$2514b3o4b2o84bobo$2606bo3bo$2606b2ob2o8$2513b3o4b2o$2513bo2b
o2bobo$2512bo3bo2b2o$2512b3o$2513bo3$2507b2o$2505b2ob2o$2505bo2bo$
2505bo$2506b2o2$2514bo228bo$2513b3o226bobo$2511bo3b2o224bo3bo$2511b6o
224b2ob2o$2515b2o$2515b2obo$2515bobo$2514bobobo$2515b3o$2516bobo$2518b
2o10bo$2518bobo8b3o$2519bobo7bo2bo$2519b3o5b2o3b2o$2526b2o3b2o$1211bo
1315bo2bo$1210b3o1315b3o148b3o$1210bo2bo1315bo148bo3bo$1210bo2b2o1463b
2ob2o$1207bo4b2o$1207bo3bo$1208b2o2$1200bo$1199b2o$1198b2obo$1199bob2o
$1200bobo$1201bo4$1208bo7b2o$1207b3o6bobo$1206bo2b2o8bo$1206b2o8bobo$
1205bobo8b2o$1206b2o$1206bo2bobo2$1201bo1612b3o$1199b2ob2o1609bo3bo$
1198bob3o1610b2ob2o$1197b2o$1198b2o3bo$1199bo$1203bo$1217b2ob2o$1217bo
3bo$1218b3o2$1222bo$1221bobo$1220bo3bo$1220b2ob2o1527bo$2751bobo$2750b
o3bo$2750b2ob2o9$1228b2o$1228bobo$1231bo$1228bobo$1228b2o5$1238b2o$
1238b2o2bo2$2887bo$2886bobo$1236b3o1646bo3bo$1236bobo1646b2ob2o$1237b
2o12$1229b5o1589b3o$1232b2o1588bo3bo$1229bo1592b2ob2o$1229bo2bo$1232bo
$1228b2o$1228b5o16$1239bo$1237b3o$1237b2o1719b3o$1238bo1718bo3bo$1239b
o1717b2ob2o4$1227bo$1228bo2$1225b2obo$1226b3o4$2896bo$2895bobo$2894bo
3bo$2894b2ob2o15$2705b3o$2705bobo$2703b2o2bo$2706bo$2705b2o2b3o$2701b
2o4bo3bo$2699b2ob2o3bo3bo319bo$2699bobo5b4o319bobo$2699b3o2bobo322bo3b
o$2705bo323b2ob2o4$2715b4o$2702b3o9b2ob2o$2701bo2bo10bo2bo$2701bo5b2o
7b3o$2701bobo4b2o7bo$2702b3obobo$2707bo$2706bo2$2967b3o$2966bo3bo$
2966b2ob2o5$2728bo$2726b2obo$2725b2o2b2o$2724b2o3bo$2725b3o$2726bo10$
2732b2ob2o$2732bo3bo$2733bobo366b3o$2734bo366bo3bo$3101b2ob2o$2736b3o$
2735bo3bo$2735b2ob2o9$3040bo$3039bobo$3038bo3bo$3038b2ob2o21$3175bo$
3174bobo$3173bo3bo$3173b2ob2o13$3111b3o$3110bo3bo$3110b2ob2o22$3246b3o
$3245bo3bo$3245b2ob2o12$3184bo$3183bobo$3182bo3bo$3182b2ob2o16$1448bo$
1446bo2bo$1445bo4bo$1445bo2bobo$1445b4o$3319bo$3318bobo$3317bo3bo$
3317b2ob2o3$1464b2o$1464bobo$1464bobo$1464b3o$1460b2o$1460b2o3$1458b2o
2bo$1458bo2b2o$1458bo3bo1792b3o$1459b3o1792bo3bo$3254b2ob2o3$1455bo$
1456bo$1452b2ob2obo$1452bo2b2o$1452b2o2bo$1453b3o8$1459b2ob2o$1459bo3b
o21bo$1460bobo21b3o$1461bo22bo2bo$1482b2o3b2o$1481b2o3b2o$1448b3o31bo
2bo1904b3o$1448bobo32b3o1903bo3bo$1444bobo3bo22b3o8bo1904b2ob2o$1445bo
27bobo$1446bo26bobo$1450b2o19b2o4b2o$1450b2o16b4ob3o2bo$1452b2o12bob4o
bo4bo$1452b2o11bo2b4o$1452bo11bobobobo$1451bo2bo8b2o5bo$1452b3o9b2ob2o
$1453bo14bo$1436b2obo28bo$1436bo3bo26b2o1859bo$1436b2o29b3o1857bobo$
1437bo1888bo3bo$3326b2ob2o2$1464b3o$1464bobo$1465b2o6$1448bo$1446bobo
6bo$1457bo9$3463bo$3462bobo$3461bo3bo$3461b2ob2o13$3399b3o$3398bo3bo$
3398b2ob2o22$3534b3o$3533bo3bo$3533b2ob2o3$2951bo$2950b3o$2950bo2bo$
2950bo2b2o$2947bo4b2o$2947bo3bo$2948b2o2$2940bo$2939b2o531bo$2938b2obo
529bobo$2939bob2o527bo3bo$2940bobo527b2ob2o$2941bo4$2948bo7b2o$2947b3o
6bobo$2946bo2b2o8bo$2946b2o8bobo$2945bobo8b2o$2946b2o$2946bo2bobo2$
2941bo$2939b2ob2o$2938bob3o$2937b2o$2938b2o3bo$2939bo$2943bo$2957b2ob
2o$2957bo3bo645bo$2958b3o645bobo$3605bo3bo$2962bo642b2ob2o$2961bobo$
2960bo3bo$2960b2ob2o10$3543b3o$3542bo3bo$2968b2o572b2ob2o$2968bobo$
2971bo$2968bobo$2968b2o5$2978b2o$2978b2o2bo4$2976b3o$2976bobo$2977b2o
6$3678b3o$3677bo3bo$3677b2ob2o4$2969b5o$2972b2o$2969bo$2969bo2bo$2972b
o$2968b2o$2968b5o2$3616bo$3615bobo$3614bo3bo$3614b2ob2o11$2979bo$2977b
3o$2977b2o$2978bo$2979bo4$2967bo$2968bo$3751bo$2965b2obo781bobo$2966b
3o780bo3bo$3749b2ob2o13$3687b3o$3686bo3bo$3686b2ob2o22$3822b3o$3821bo
3bo$3821b2ob2o12$3760bo$3759bobo$3758bo3bo$3758b2ob2o$1709bo$1695b3o
10bobo$1681b3o11bobo9bo3bo$1681bobo11b3o8b2o2bobo$1681b3o14bobo6b2ob2o
$1678bobo18bobo$1677bobo22bo9bo$1676bo23b3o6b4o$1676b3o10b2o10bo7b3o$
1677bo9b3obo$1690bobo2b3o12b3o$1681b3o2bobo5b2o2bo11b4o$1680bo2bobo3bo
5bo2bo14bo$1680bo6bo8b3o$1680bo5bo21b2ob2o$1707b2o2bobo$1681b2ob2o22bo
3bo$1682b3o3bo20bobo$1683bo3b2o21bo$1686b2o$1687b2o2206bo$1688bo2205bo
bo$3893bo3bo$3893b2ob2o4$1699b3o$1697bo3bo3b2o$1701b2obobo$1696bo3bo3b
o$1696bo3bobobobo$1699b2o4b2o$1697bo2bo$1698b3o$1699bo$3831b3o$3830bo
3bo$1724bobo2103b2ob2o$1723b2obo$1726bo2$1727bo$1721b2o$1722b2o$1723bo
10$1716bo$1716bo$1714b2ob2o$1716bo$1716bo$3966b3o$1717b2o2246bo3bo$
1716bo2248b2ob2o$1716b2ob2o$1717bo2bo$1720bo$1718b2o5$1712bob2o$1713bo
4bo4b2o$1717b3o3bobo$1715bobob2o3b2o2178bo$1716b2obo2183bobo$1716bobo
2183bo3bo$1717bo2184b2ob2o5$1716b2o$1716b3o$1715b5o$1718bo2$1712bo$
1710b3o$1710b3o$1711b3o$1712bo7$4039bo$4038bobo$4037bo3bo$4037b2ob2o
13$3975b3o$3974bo3bo$3974b2ob2o7$3188bo$3186bo2bo$3185bo4bo$3185bo2bob
o$3185b4o7$3204b2o$3204bobo$3204bobo$3204b3o$3200b2o908b3o$3200b2o907b
o3bo$4109b2ob2o2$3198b2o2bo$3198bo2b2o$3198bo3bo$3199b3o4$3195bo$3196b
o$3192b2ob2obo$3192bo2b2o851bo$3192b2o2bo850bobo$3193b3o850bo3bo$4046b
2ob2o7$3199b2ob2o$3199bo3bo21bo$3200bobo21b3o$3201bo22bo2bo$3222b2o3b
2o$3221b2o3b2o$3188b3o31bo2bo$3188bobo32b3o$3184bobo3bo22b3o8bo$3185bo
27bobo$3186bo26bobo$3190b2o19b2o4b2o$3190b2o16b4ob3o2bo$3192b2o12bob4o
bo4bo$3192b2o11bo2b4o971bo$3192bo11bobobobo971bobo$3191bo2bo8b2o5bo
970bo3bo$3192b3o9b2ob2o972b2ob2o$3193bo14bo$3176b2obo28bo$3176bo3bo26b
2o$3176b2o29b3o$3177bo3$3204b3o$3204bobo$3205b2o3$4119b3o$4118bo3bo$
4118b2ob2o$3188bo$3186bobo6bo$3197bo19$4254b3o$4253bo3bo$4253b2ob2o12$
4192bo$4191bobo$4190bo3bo$4190b2ob2o21$4327bo$4326bobo$4325bo3bo$4325b
2ob2o13$4263b3o$4262bo3bo$4262b2ob2o14$1947b3o$1946bo3bo$1946bo3bo$
1949b2o3$1947b4o$1949b2o$1916b3o28bo2bo2447b3o$1916bobo30bo2447bo3bo$
1918bo29bo2448b2ob2o3$1911b2o$1911bo10b3o$1911b3o10bo$1906b3o14b2o7bo$
1906bobo22bobo$1906b3o21bo3bo$1917bo12b2ob2o$1902b3o2bo9bobo$1902bo3bo
10b3o$1902bo16b2o13bo2401bo$1903b3o13bobo11bobo2399bobo$1922bo9bo2401b
o3bo$1921b2o9b2o2400b2ob2o2$1915bo23bo8b2o$1914b2obo19bob2o7bobo$1915b
2o21b2o11bo$1916bo21bo9bobo$1948b2o3$1941bo$1942bo$1942b4o$1943bobo$
1944bo12b3o$1935b2o4b3o9bo5bo$1935bo5b3o9bob2o2bo$1935bobo17b4o$1936b
2o3b2o11b3o$1940b2o$1940bo2$4471bo$4470bobo$4469bo3bo$4469b2ob2o5$
1943b2ob2o$1943bo3bo$1944bobo$1945bo2$1947b3o$1946bo3bo$1946b2ob2o$
4407b3o$4406bo3bo$4406b2ob2o22$4542b3o$4541bo3bo$4541b2ob2o12$4480bo$
4479bobo$4478bo3bo$4478b2ob2o21$4615bo$4614bobo$4613bo3bo$4613b2ob2o7$
3449bo$3435b3o10bobo$3421b3o11bobo9bo3bo$3421bobo11b3o8b2o2bobo$3421b
3o14bobo6b2ob2o$3418bobo18bobo$3417bobo22bo9bo1098b3o$3416bo23b3o6b4o
1097bo3bo$3416b3o10b2o10bo7b3o1098b2ob2o$3417bo9b3obo$3430bobo2b3o12b
3o$3421b3o2bobo5b2o2bo11b4o$3420bo2bobo3bo5bo2bo14bo$3420bo6bo8b3o$
3420bo5bo21b2ob2o$3447b2o2bobo$3421b2ob2o22bo3bo$3422b3o3bo20bobo$
3423bo3b2o21bo$3426b2o$3427b2o$3428bo6$3439b3o$3437bo3bo3b2o$3441b2obo
bo$3436bo3bo3bo1241b3o$3436bo3bobobobo1238bo3bo$3439b2o4b2o1238b2ob2o$
3437bo2bo$3438b3o$3439bo3$3464bobo$3463b2obo$3466bo2$3467bo$3461b2o$
3462b2o1160bo$3463bo1159bobo$4622bo3bo$4622b2ob2o8$3456bo$3456bo$3454b
2ob2o$3456bo$3456bo2$3457b2o$3456bo$3456b2ob2o$3457bo2bo$3460bo$3458b
2o2$4759bo$4758bobo$4757bo3bo$3452bob2o1301b2ob2o$3453bo4bo4b2o$3457b
3o3bobo$3455bobob2o3b2o$3456b2obo$3456bobo$3457bo5$3456b2o$3456b3o$
3455b5o1235b3o$3458bo1235bo3bo$4694b2ob2o$3452bo$3450b3o$3450b3o$3451b
3o$3452bo17$4830b3o$4829bo3bo$4829b2ob2o12$4768bo$4767bobo$4766bo3bo$
4766b2ob2o21$4903bo$4902bobo$4901bo3bo$4901b2ob2o13$4839b3o$4838bo3bo$
4838b2ob2o11$2169b3o$2172bo$2171b2o$2168b2o$2159bo7bo$2158b3o$2157bo2b
o$2156b2obo$2157b2o$2158bo2$4974b3o$4973bo3bo$2170b3o4bo2795b2ob2o$
2170bo2bo$2159bo10bo2bobobo$2158b2o15b2o$2159b2o11b2o$2171bo$2172b2o5$
2169bo$2168b3o2741bo$2167bo2bo2740bobo$2166b2o2bo10b3o2726bo3bo$2167bo
3bob3o4bo2bo2726b2ob2o$2173bobo4bo3bo$2168bo2bob2o7b3o$2167bobo13bo2$
2155bo$2154b3o31b2o$2154bob2o29b2ob2o$2152b2o2bobo18bo10bo2bo$2151b2o
4b3o16b2o13bo$2152b3o4b2o28b2o$2153bobo2b2o$2154b2obo24bo$2145bo9b3o
23b3o$2144b3o9bo18b3o3bo3bo$2143bo2bo2bo12b2o10bo3bo3bo2bo$2142b2obo2b
o2bo10bobo9b2ob2o3b3o$2143b2o18b2o$2144bo4bo2bo$2151bo$2176bo$2175b3o
2869bo$2175bo2bo2867bobo$2177bobo2865bo3bo$5045b2ob2o$2179bo$2178b3o$
2177bo2bo$2177b3o3$2175b2o$2175bobo$2177bo$2175bobo$2175b2o2$4983b3o$
4982bo3bo$4982b2ob2o6$2174b2o$2174bobo$2176bo$2174bobo$2174b2o3$2176b
3o$2176bo2bo$2177b3o$2178bo2$2176bobo$2174bo2bo$2174b3o$2175bo$5118b3o
$5117bo3bo$5117b2ob2o12$5056bo$5055bobo$5054bo3bo$5054b2ob2o5$3687b3o$
3686bo3bo$3686bo3bo$3689b2o3$3687b4o$3689b2o$3656b3o28bo2bo$3656bobo
30bo$3658bo29bo3$3651b2o$3651bo10b3o$3651b3o10bo$3646b3o14b2o7bo1518bo
$3646bobo22bobo1516bobo$3646b3o21bo3bo1514bo3bo$3657bo12b2ob2o1514b2ob
2o$3642b3o2bo9bobo$3642bo3bo10b3o$3642bo16b2o13bo$3643b3o13bobo11bobo$
3662bo9bo$3661b2o9b2o2$3655bo23bo8b2o$3654b2obo19bob2o7bobo$3655b2o21b
2o11bo$3656bo21bo9bobo$3688b2o$5127b3o$5126bo3bo$3681bo1444b2ob2o$
3682bo$3682b4o$3683bobo$3684bo12b3o$3675b2o4b3o9bo5bo$3675bo5b3o9bob2o
2bo$3675bobo17b4o$3676b2o3b2o11b3o$3680b2o$3680bo10$3683b2ob2o$3683bo
3bo$3684bobo1575b3o$3685bo1575bo3bo$5261b2ob2o$3687b3o$3686bo3bo$3686b
2ob2o9$5200bo$5199bobo$5198bo3bo$5198b2ob2o13$5313b2o$5315bo$5318b3o$
5320bo$5318b3o$5246b2o$5245bobo$5245bo60b3o$5245bobo56b2o2b2o$5246b2o
10bo45bo3b2o$5257b2o45b6o10bo$5257bo61bobo$5247b3o5b3o62bo$5254b2obo
62b2o26b2o$5254bo93bobo$5248bo5bo2b2o57bo34bo$5254bo5bo52bo2bo31bobo$
5262bo48b3ob2o31b2o$5260bobo48b2o$5259bobo12bo35b2o4bo$5254bo3bo14b3o
35bobob2o$5255bobo14b2obo36b2o2bo$5256b2o10b3obo3bo37b2o$5268bo2bobo2b
2o$5268bob2o4bo44bo27bo$5271bo4bo46bo24b3o$5267bo3bob2o48b2o25b2o$
5232bo4bo84b2o25b2obo$5232bo2b4o80b2obo28b3o$5232b2o4bo91b4o10bo6bob2o
$5235bobo95b2o8b2obo6bo$5235bobo95bo10b3o$5235b3o107bob2o10bo$5328bo
17b2o10b3o$5326b2o19b3o10bo$5327b3o11b2o5bo8b6o$5328bo11bobo19b2o$
5270b3o67b2o18bobo$5270bobo88bo$5270b3o$5270b4o$5254b3o14bob2o$5254bo
2bo6bo6b3o$5252b2o10b2o6bo$5252bo2b2ob2o3bob2o$5252bob2o2bo12bo$5253b
3o7bo4bob3o$5263b2o3bobob2o$5267b2ob3o$5264bo3bo2bo$5263b2o4bobo$5260b
4o5b3o$5260bobo$5260b3o2$5250bo3b2o$5245b3ob4ob2o$5245b3obo$5250bo$
5249bo$5249b2o2$5245b3o2b2o$5244bo2bo4bo$5198b2ob2o40b2o4bo2bo2bobo$
5198bo3bo41bo3b2obo4b3o$5199b3o44bobo9b2o$5246b2ob2ob3obobo$5248bob2o
3bobo3bo$5249bo5b2o3b3o$5252b2o6b2o$5262b3o$5264b2o$5264bo2$5245b2ob2o
8bo$5245bo3bo7b2o$5246bobo8bo$5247bo10bo2bo$5258b3o$5259bo10$2400b3o$
2400bobo$2400b3o$2399b4o$2398b2obo$2398b4o$2396b3obo$2395bobo$2395bo$
2395bobo$2396b2o3$5298bob2o$5297b5o$2409b2o2885b2o$2409bobo2885b2o$
2411bo2832b2o52bo$2409bobo2831bobo$2409b2o2832bo$2400b3o2584bo255bobo$
2400bobo2583b3o255b2o$2402bo2582bo2bo$2403bo2585bo$2402bobo2580bo2bobo
$2395b2o2588b2obo323b3o31b2o$2395bo2588b2ob2o323bo2bo30bobo$2395b3obo
2585b3o323bo3bo33bo$2398bo2587bo324bo18bo15bobo$2399bo2537b3o54bo316bo
b2o11bo3bo15b2o$2410b2ob2o2521bo3bo52b3o315b3o12bo2bob2o$2410bo3bo14bo
2506bo3bo51bo2b2o313b2o14bo4bo$2411bobo11bo2b3o2506bob2o50b2o2bo314bo
16bo3bo$2412bo13bo4bo12b3o2545b3o264b2o50bo16bo$2425bo5b2o10bo2bo2546b
o264b2obo$2429b3o2499b2o326b3o$2426bobo12bo3bo2484bobo309b3o15bo51b3o$
2441bo2488bo311bo2b3o64b3o$2426b3o12b3o6b2o2478b3o54b2o253bo2bo65b2o$
2426bobo19bo2bo2484b3o47bobo254b2o66bo$2427b2o22bo2483bo2bo47b2o$2423b
2obo20bob2o2484bo2bo321b3o49b2ob2o$2423bo2bo19bo2488b3o321bo3bo47bobo
2b2o21b3o$2424b3o18bo2813bo2b2o48bo3bo22bobo$5259b2o2bo49bobo23b3o$
5314bo27bobo$5343bobo$2442bo2818b2o83bo$4933bo327b2o81b3o$2404b2o19bo
2506b3o309bo20b3o77bo$2401bob2obo2524b2ob2o49b2o256b3o19bobo66b2o$
2400bo3bobo4bo10bo2508bo2bo50bobo254b2ob2o5bo12bobo62bo2bob2o2b3o$
2399bobo3b2o3bo10bob4o2502b4obobobo47b2o254bo8bobo11b2o62bo7bobo2bo$
2398b2o9b2o10b3obo2b2o2498b2o3b2o312bo2b2o2b2o79bo6bo$2399b2o7b2obo17b
o2504bo5bo306bo3b2o2bo80bo5bo$2409b3o12bo4b2o2510b2o301bo2bo5b3o$2410b
o13bo4bo2509b2ob3o8bo38bo251b3o90b2ob2o$2426bobo2510bob2obo6bo39b3o
242b2o100b3o$2427bo2510bo3b3o7b3o35b2o2bo240b2o102bo$4941bo11b2o36bo2b
2o238b2o4b2o11bo$4940bo51b3o240b2o4bo7bobob5o$4993bo242bo4bo8b2o2b2obo
$4985bo252b3o7bo2bo3b3o$4984b3o260b2obo$4983b2ob2o$4984b2obo$4984bo2bo
bo256bo2b2o4b3o$4988bo256b3ob2o6bo$4929b2o53bo2bo264b2o2b2o$4929bobo
53b3o264bo2bo$4932bo20b3o30bo266b3o$4915b3o11bobo24bo$4914bo3bo10b2o
25b2o$4914b2ob2o37bo$4954bo295b3o$4953b2o295bo2b2o$5250b2o2b2o$4947bo
3bo300bobo$4899b3o44b2obo303bo$4899bobo17b2o26b4o293b2o$4898bo2bo15b2o
3bo25b5o291b2obo$4898bo2bo15bo2bobo28b3o293bo$4898b4o15bo3bo30bobo292b
o$4899b3o16b2o35bo289bobo$2418bo2487bo2bo15b2o24bo2bo288b2o2bo$2417bo
38bo2448bo3bo14bo26b3o290b3o$2415b2o2b2o10b2o24bo2447bo3bo15bobo24bo
292bo$2414b2o3b2o9bobo9b2o10b2o2b2o2445bo2bo14bo3bo$2415b2ob3o9b2o10bo
bo9b2o3b2o2445b3o14bo2bo$2416bo3b4o19b2o9b3ob2o2464b3o$2422b2o27b4o3bo
$2451b2o$2424bo$2422b3o25bo$2423bo26b3o$2451bo24$4803bo$4802bobo$4801b
o3bo$4801b2ob2o11$3909b3o$3912bo$3911b2o$3908b2o$3899bo7bo$3898b3o$
3897bo2bo$3896b2obo$3897b2o$3898bo4$3910b3o4bo$3910bo2bo$3899bo10bo2bo
bobo$3898b2o15b2o$3899b2o11b2o$3911bo$3912b2o5$3909bo$3908b3o$3907bo2b
o963b3o$3906b2o2bo10b3o949bo3bo$3907bo3bob3o4bo2bo949b2ob2o$3913bobo4b
o3bo$3908bo2bob2o7b3o$3907bobo13bo2$3895bo$3894b3o31b2o$3894bob2o29b2o
b2o$3892b2o2bobo18bo10bo2bo$3891b2o4b3o16b2o13bo$3892b3o4b2o28b2o$
3893bobo2b2o$3894b2obo24bo$3885bo9b3o23b3o$3884b3o9bo18b3o3bo3bo$3883b
o2bo2bo12b2o10bo3bo3bo2bo$3882b2obo2bo2bo10bobo9b2ob2o3b3o$3883b2o18b
2o709b3o$3884bo4bo2bo720bo3bo$3891bo721b2o2bo$3916bo696bo2b2o$3915b3o$
3915bo2bo692bobo$3917bobo692bo2bo$4609bo3b3o$3919bo690bo3bo7b3o$3918b
3o684b3obobo10bo2bo$3917bo2bo683bobo4b2o5b2o5bo$3917b3o684bo5b2o5b2o4b
obo7bo$4604bo2bo10bobob3o7b3o26bo$4605b3o11bo11b2o27b3o$3915b2o703b3o
8b3o2b2o24b2o$3915bobo704b2o7b2o24b2o2b3o$3917bo703bobo2b2o2b2o7b3o20b
2o$3915bobo688b3o12bo3b2o2b3o2b2o6bo10b3o7b2o2b2o$3915b2o691b2o11bobo
2bo3bo6b3ob2o9bo6b2o2b3o2b2o$4605bo3bo12b2o3bobo22b2ob3o6bo3bo278bo$
4594b4o30bo36bobo278bobo$4580b2o8bo2bo2b2o7bo60bo278bo3bo$4580b2o8bo2b
o9bo341b2ob2o$4590bo2bo8b6o$4592b2o7b2o3bo$4602b2obo$4603b3o$4605bo$
3914b2o689b2o$3914bobo689bo16b2o$3916bo705bobo$3914bobo667bo32bo4b2o$
3914b2o667b3o30b3o$4582bo2b2o29bo$4581b2ob2o9b3o$3916b3o663b2o2bo6b2o
2bo$3916bo2bo666b2o6b3o25bo$3917b3o665bob2o6bo15b2o9b2o$3918bo666b3o
22b2o9b2o$4586bo24bo154bo$3916bobo846bobo$3914bo2bo846bo3bo$3914b3o
700bo146b2ob2o$3915bo699b3o$4616bo3$4619b2o$4618b2obobo$4619b2o2bo$
4623b2o$4622bob2o$4622b3o$4623bo6$5018b3o$5017bo3bo$5017b2ob2o18$4837b
3o$4836bo3bo$4836b2ob2o17$5068b3o$5067bo3bo$5067b2ob2o2$5121bo$5120b3o
$5119bo2b2o$5119b3o17b3o$5138bo3bo$5101b2ob2o32b2ob2o$5101bo3bo21b3o$
5102b3o22bobo$2646bo2480bo2b2o$2645b3o2483bo$2644b2ob2o2475bo4b3o$
2647b2o2475b2o$2643b3o2bo2476b2o$2642b2o3b2o2477bo$2643bobobo$2644bobo
2263bo$2645bo2263bobo108b3o$4908bo3bo107bo2bo$4908b2ob2o$4275b3o743bo
3bo$4275bo2bo747bo$4275bo739b2o6bo2bo$2656b2o1617bo739bo2bo6b2o$2657b
2o2356bo109bo36b2ob2o$2656b2o1618b2o738bo3bo102bobo36bo3bo$2646bo1631b
o750b3o90bob2o37bobo$2645bobo6bo2363bo2bo7bo2bo73b2o7b2o5bo10b2obo27bo
$2641bo2bo7b3o2364b3o84bobo14bo10b4o$2640bo2b3o7bo1584b3o789bo3bo74bo
27b2o$2639bo1598bobo4bo20bo768bo74bo3bo21b2o15bo$2638bo12bo1587bo5b2o
18bobo29b2o725b2o6bo2bo75bobo15bo18b2o2bo3bo$2638bo1603b3ob2o16bo3bo
27bobo725bo2bo6b2o75b2o16b2o16b2o2bo4b2o$4241b3obo18b2ob2o27bo727bo76b
2o27bo17bo4bo2bobo$2642bobob2o1595bo47b2o3bobo726bo3bo70bobo21b3o2b2ob
o16bob2o4b2o$2644bo2bo4bo1638bobo3b2o804bo22bo3b3o17bo2bo2bo$2644b2obo
4bo1641bo732bo2bo62b2o4bo4bo19b2o5bo21bo2bo$2645b2o7bo1619bo16bobo734b
3o63b4obo5b2o38bo8b3o$2645bo5bobo1621bo3bo11b2o803bo9bo38b3o$2640bo5bo
4b2o1612bo9bo2b3o815bo2bo5bo39bobo$2640bob2o2bo1617b3o10b2o2bo818bob2o
15b2o5b2o17b3o$2645b2o1616b2obo11bo2b2o835b2o7bobo$2643bo1635bobo820bo
26b2o$2638b2o3bo2456b3o20b2obo2bo$2639bo3bo1636bo821bo20b3obo$5102b2o
22b3o$2635b2o2b3o1635b3o823bo22b3o$2637bo1617b2o20bo$4254bobo4b2o$
2626bobobo1622bo7b2o$2629bo22b2ob2o3b3o1591bobo$2632bo19bo3bo3bo2bo
1591b2o$2631b2o20b3o7bo$2627bobobo31bo2175bo$2628bobo2194bo$2629bo31bo
2b2o1585b3o584b2o$2663b2o1540b3o43bo2bo570b2o10b2o12b3o127b3o$2662b2o
1540bo3bo41bo3bo571b2o9b2o2b3o7bobo126bo3bo$4204b2ob2o41b3o568b3o2b2o
9bo5bo9bo126b2ob2o$4251bo569bo5bo7b3obo3bo$2660b2o2159bo3bob3o5bo2bo2b
2o$2660bobo2159b2o2bo2bo5b2o$2663bo1581b2o581b2o7bobo14bo$2660bobo
1580b2ob2o9bo567bobo9b3o12bobo$2660b2o1581bo2bo578b3o24b3o$4243bo$
4244b2o$4263b2obo$4252bo11b3o$4251b3o11bo568b3o$4188b2o59bo3b2o579bo2b
o$4187bobo59b6o579bo2bo$4187b2o64b2o577b2o3b2o$4253b2obo575bobobobo$
2659b2o1592bobo577b2ob2o$2659bobo1590bobobo577bo$2662bo9b2o1579b3o$
2659bobo9bobo1580bobo587bo$2659b2o10b2o1583b2o584b3o$4256bobo581b4o$
2674bo1582bobo581bobo$2661b2o10bobo1581b3o581b3o$2662b2o8bo3bo$2660bo
2b2o7b2ob2o2$2662bo$2662bo$2659bo2bo$2659b3o4$4844b2ob2o$4844bo3bo$
4278bo566bobo$4277bobo566bo$4276bo3bo$4276b2ob2o567b3o217b3o$4847bo3bo
215bo3bo$4847b2ob2o215b2ob2o5$5139b3o$5121b2o15bo3bo$5101b2ob2o14b2o
16b2ob2o$5101bo3bo14bo2bo$5102b3o14b2obo$4260b2o858bo$4259bobo$4259b2o
866b3o$5027b3o97bo2bo$5026bo3bo95b2o2bo$5026b2ob2o99bo$5126bo2bo$5126b
2o6$5123bo$5122b3o$5122bo39b2ob2o$5120b2o2b2o19bobo14bo3bo$5010b2o107b
2o23bobobo14bobo$5009bobo94b2o12b2o23bobo16bo$5009b2o95bobo6bo5bo10b2o
10bobobo$5108bo5b3o16b2o10bobo$5098b2obo3bo2bo4b2obo13bo2bo$5096bo4bo
2bo2bob3obo3bo12b3o19b2o$5096bo4b2o5bo3bobo2b2o12bo19b2ob2o$5095b2o2bo
bo3bo5b2o4bo34bo2bo$4349b3o744bo3bob3obo2bo2bo4bo4b2ob2o8bo19bo$4348bo
3bo744bob2o4bo2bo3bob2o6bo3bo8b3obo13b2o$4348b2ob2o744b3o5bo17bobo10bo
bo$5098bo6bobo16bo$5106b4o29bob3o$5104b2o29b2o6bo$5103b2obo2bo13bo16bo
2bo$4140b3o959b2o5bo12b3o17bo$4140bobo960b2o17bob2o13bo5b3o$4140b3o
962b4o12bo3bob3o9bo2bo2b3o$4139b4o963bo13b2o2bobo2b3o7b2ob2o$3962bo28b
2o145b2obo979bo4b6o9b2o$3961b3o26bobo145b4o979bo4bobob2o$3960bo2b2o25b
o145b3obo982b2obo$3959b2o2bo17b3o151bobo194b2o$3960b3o18bo2bo5bo2bo
141bo195bobo$3961bo18bo3bo6bobo8b2o131bobo193b2o806bo$3982bobo4b3obo9b
2o131b2o999bo$3979bo8b2ob3o$3979bo9b3o$3990bo2$4009bo139b2o$4009b2o
138bobo$3934b2o74bo140bo$3919b2o12bo215bobo$3921bo12bobo212b2o$3918bob
o13bobo203b3o$3918bobo9bobobo205bobo$3920bobobo6bo2b2o206bo$3919b2o2bo
8b3o11b2ob2o192bo$3920b3o10bo12bo3bo191bobo$3921bo3bo21bobo185b2o$
3924b3o19bo2b2o184bo$3924bo2bo22bo184b3obo$3923bo3b2o19b2o188bo$3927b
5o17bo3b2o184bo$3922bo5b2obo17bo4b2o194b2ob2o$3929bo2b2o16bobobo195bo
3bo14bo252bo$3918b2o13bo17bobo197bobo11bo2b3o250bobo$3919bo11b3o18bo
199bo13bo4bo12b3o233bo3bo$3918bob2o6bobo234bo5b2o10bo2bo233b2ob2o$
3919bobo5b2ob2o237b3o$3930bo235bobo12bo3bo$3926bo254bo$3925bo240b3o12b
3o6b2o$3925bo240bobo19bo2bo$3925b2obo238b2o22bo$3927bob2o3b3ob2o223b2o
bo20bob2o$3938b2o223bo2bo19bo$3930b2o232b3o18bo$3931bo5bo$3920bobo7b2o
$3919bob2o4b2o5bob2o466b2o$3920bo6bo8bo245bo220bobo$3919b2o6b2o2bo4bo
466b2o$3931bob2o209b2o19bo$3923bo217bob2obo$3928bo211bo3bobo4bo10bo$
3924bo3b2o209bobo3b2o3bo10bob4o$3925bo2bo209b2o9b2o10b3obo2b2o$3925b3o
211b2o7b2obo17bo$3926bo222b3o12bo4b2o$4150bo13bo4bo$4166bobo$4167bo13$
4493b3o$4492bo3bo$4492b2ob2o11$4158bo$4157bo38bo279b2o$4155b2o2b2o10b
2o24bo277bobo$4154b2o3b2o9bobo9b2o10b2o2b2o275b2o$4155b2ob3o9b2o10bobo
9b2o3b2o$4156bo3b4o19b2o9b3ob2o$4162b2o27b4o3bo$4191b2o$4164bo$4162b3o
25bo$4163bo26b3o$4191bo14$4566bo$4565bobo$4564bo3bo$4564b2ob2o12$4548b
2o$4547bobo$4547b2o2$3631bo$3630b3o$3629b2o$3628bob2o$3627b3o$3626b2ob
o6bo$3627bo6bob2o$3634b3o$3632b2obo$3633b2o$3631b3o$3632bo4$3634b2o$
3639bo$3634b2o$3635b3o$3635b3o2$4637b3o$3600b3o49b3o981bo3bo$3600bobo
39b2o8bo2bo980b2ob2o$3600b4o39bo6b2o3bo$3599b3o40b4o4bo3b2o$3599bo43bo
b2o3bo2bo$3627b2o12b2o2bo5b3o$3609bo17bobo12b3o$3606b2ob2o19bo12bo$
3605bobobobo15bobo$3605b2o3b2o15b2o$3606bo2bo$3606bo2bo$3607b3o$3620bo
23b2o974b2o$3617b2obo25bo972bobo$3616bo2b2o24bobo971b2o$3616bo26bo2bo$
3589b3o41b2o8b3o$3589bobo40bobo9bo$2889bo699bo42bobo$2875bo756b4o$
2888b2o$2875b2o10b2o12b3o$2876b2o9b2o2b3o7bobo686bo$2871b3o2b2o9bo5bo
9bo686bobo$2871bo5bo7b3obo3bo696b3o$2871bo3bob3o5bo2bo2b2o$2872b2o2bo
2bo5b2o$2878b2o7bobo14bo$2875bobo9b3o12bobo$2875b3o24b3o2$3645b3o$
3645b3o2$2884b3o$2884bo2bo$2884bo2bo1822bo$2882b2o3b2o1820bobo$2882bob
obobo1819bo3bo$2883b2ob2o1820b2ob2o$2884bo2$2894bo$2892b3o$2890b4o$
2891bobo$2891b3o3$5091bo$5090b3o$4692b2o396bo2bo$4691bobo400bo$4691b2o
398bobo$5091b2o3$2894b2ob2o2161bo$2894bo3bo2160b3o$2895bobo2160b2o2bo$
2896bo2162bo2b2o$5060b3o$2898b3o2160bo12b3o$2897bo3bo2151bo19bo3bo$
2897b2ob2o2150bo20b2ob2o$5050b2ob3o$5049b2o4b2o$5050bo3bob2o$5051bob4o
$5055bo$5084bob2o$5065b2o7b2o6bo4bo$5062b5o7b5o3bo13bobo$5062bo3bo7bo
3bo2b2obo5b2o4b2obo$5062b2o2b2o5b2o2b2o3bo8bo6bo$5064bo2bo5bo2bo5bo4bo
2b2o6b2o$4781b3o280b3o7b3o7b2obo$4780bo3bo310bo$4780b2ob2o305bo$5089b
2o3bo$5090bo2bo$5091b3o$5092bo3bo$5084bo10b3o$5083b3o8bo2b2o$5082b2o2b
o6bobobo$5083bobobo9bobo$5081bobo13bobo$5081bobo12bo$5084bo12b2o$4764b
2o316b2o$4763bobo$4763b2o2$5076bobo$5062bobo$5077bo$5063bo10bob3o$
5062b3obo7bo3b2o$5061b2o3bo11bo7b2ob2o$5062bo12b3o8bo3bo$5063b3o10bo
10b3o$5064bo12$4854bo$4853bobo$3328b3o1521bo3bo$3328bo2bo1520b2ob2o$
3326b2o3bo1748bo$3326bo3b2o1747b3o$3326bo2bo1749bob2o$3327b3o3$3343bo$
3316bo23bo2bo3bo$3315bobo25bo3bo2bo1727bob2o$3314bo3bo28bo28b2o1700b3o
$3314b2ob2o57b2o1701bo$3376b2o41b3o1414b2o$3418bo3bo1412bobo$3418b2ob
2o1412b2o$3301b2o$3300bobo$3299bo$3295b2o3bobo$3295bobo3b2o$3282bo14bo
1088bo$3281bobo11bobo1087b3o$3280bo3bo10b2o1087b2ob2o$3266bo13b2ob2o
1102b2o$3265b3o1115b3o2bo$3265bo1116b2o3b2o$3402b2o979bobobo$3262b2o
137bobo980bobo$3261b2o138b2o982bo$3262b2o$3279b2o$3278b2o$3279b2o5bo$
3280bo$4396b2o$3274bo1122b2o$3273bobo14bo1105b2o$3272bobobo1109bo538b
3o$3271b2o3b2o1107bobo6bo529bo3bo$3271bo2b3o1104bo2bo7b3o529b2ob2o$
3271b2o1107bo2b3o7bo$3271b2ob2o1103bo$3272b3o14b2obo1085bo12bo$3273bo
16b3o1085bo$3291bo1918b3o$4382bobob2o821bo3bo$4384bo2bo4bo816b2ob2o$
4384b2obo4bo$4385b2o7bo$4385bo5bobo$3492bo887bo5bo4b2o$3491bobo886bob
2o2bo521b2o$3490bo3bo890b2o520bobo$3490b2ob2o888bo523b2o$4378b2o3bo$
4379bo3bo2$4375b2o2b3o$4377bo2$4366bobobo$4369bo22b2ob2o3b3o$4372bo19b
o3bo3bo2bo$4371b2o20b3o7bo$4367bobobo31bo$3474b2o892bobo$3473bobo893bo
31bo2b2o$3473b2o928b2o$4402b2o3$4400b2o$4400bobo$4403bo$4400bobo$4400b
2o596bo208b3o$4997bobo206bo2bo9b3o35bo$4996bo3bo205bo2b2o8bo2bo6bo25b
2obo$4996b2ob2o205b3obo7b2o2bo5bob2o25b3o$5218bob3o4b3o18b2ob2o3b2o2bo
$5207bo18bo2b2o3b2ob2o9bo3bo4bo2b2o$5207bo13bo3b2o2bo4bo3bo10b3o4bo2b
2o$5207bo13bo4b2o2bo4b3o18b3o$5221bo6b3o2$4399b2o$4399bobo$4402bo9b2o$
4399bobo9bobo$4399b2o10b2o$3563b3o1414b2o$3562bo3bo847bo564bobo$3562b
2ob2o834b2o10bobo563b2o$4402b2o8bo3bo$4400bo2b2o7b2ob2o2$4402bo$4402bo
$4399bo2bo$4399b3o5$3546b2o$3545bobo$3545b2o9$5069b3o$5068bo3bo$5068b
2ob2o11$3636bo$2995b2o638bobo1414b2o$2994bobo637bo3bo1412bobo$2994bo
639b2ob2o1412b2o$2989b2o3bobo$2989bobo3b2o$2992bo$2989bobo$2976bo12b2o
$2975bobo$2978bo$2977b2o2225b3o$2973b2o3bo2224bo3bo$2973bo3b4o2222b2ob
2o$2976b3ob2o$2977b2obo637b2o$2976bobo638bobo$3617b2o5$2962b2o$2963b2o
$2962b2o$5142bo$2958bobo2180bobo$2949b3o6b3o2179bo3bo$2949bobo7bo2180b
2ob2o$2948bob3o9bo$2952b2o7b3o$2946b2obo3b2o5bo2bo$2945b2o2b2obo6bo$
2943b3o14bobo$2943bobo14bo2bo$2943b3o12b2obo2bo$2952bo4bo$2951b2o4bo$
2954bo2b3ob3o$2952bo2bo4bobo$2950b3o2bo4b2o745b3o1414b2o$2950b2o2b2o
750bo3bo1412bobo$2950bo2bo752b2ob2o1412b2o118bo$2951b3o2277bo10b3o$
5230b3o8bo2bo$5208b2o20bo2bo6b2ob4o$5207bo20b4ob2o6b2o3b2o$5207bo2bo
16b2o3b2o13b2o$5207b5o14b2o14b2o2b2o$5227b2o2b2o9bo$5232bo$5243b3o$
5229b3o2$3690b2o$3689bobo$3689b2o5$3141bo$3140b3o$3140bo2bo$3144bo$
3141bobo$3141b2o3$3110bo$3109b3o$3108b2o2bo$3109bo2b2o$3110b3o$3111bo
12b3o$3103bo19bo3bo$3102bo20b2ob2o$3100b2ob3o$3099b2o4b2o673bo$3100bo
3bob2o671bobo$3101bob4o671bo3bo$3105bo672b2ob2o$3134bob2o$3115b2o7b2o
6bo4bo$3112b5o7b5o3bo13bobo$3112bo3bo7bo3bo2b2obo5b2o4b2obo$3112b2o2b
2o5b2o2b2o3bo8bo6bo$3114bo2bo5bo2bo5bo4bo2b2o6b2o$2831b3o280b3o7b3o7b
2obo$2830bo3bo310bo$2830b2ob2o305bo$3139b2o3bo$3140bo2bo$3141b3o618b2o
$3142bo3bo614bobo$3134bo10b3o613b2o$3133b3o8bo2b2o$3132b2o2bo6bobobo$
3133bobobo9bobo$3131bobo13bobo$3131bobo12bo$3134bo12b2o$2814b2o316b2o$
2813bobo$2813b2o2$3126bobo$3112bobo$3127bo$3113bo10bob3o$3112b3obo7bo
3b2o$3111b2o3bo11bo7b2ob2o$3112bo12b3o8bo3bo$3113b3o10bo10b3o$3114bo4$
3851b3o$3850bo3bo$3850b2ob2o6$2904bo$2903bobo$2902bo3bo$2902b2ob2o$
3130bo$3129b3o$3129bob2o701b2o$3833bobo$3833b2o4$3128bob2o$3128b3o$
3129bo$2886b2o$2885bobo$2885b2o13$3924bo$3923bobo$3922bo3bo$3922b2ob2o
7$2975b3o$2974bo3bo$2974b2ob2o3$3906b2o$3905bobo$3260b3o642b2o$3259bo
3bo$3259b2ob2o5$2958b2o$2957bobo$2957b2o11$4629bo$4615bo$4628b2o$3995b
3o617b2o10b2o12b3o$3994bo3bo617b2o9b2o2b3o7bobo$3994b2ob2o612b3o2b2o9b
o5bo9bo$4611bo5bo7b3obo3bo$4611bo3bob3o5bo2bo2b2o$4612b2o2bo2bo5b2o$
4618b2o7bobo14bo$4615bobo9b3o12bobo$3048bo208b3o1355b3o24b3o$3047bobo
206bo2bo9b3o35bo$3046bo3bo205bo2b2o8bo2bo6bo25b2obo$3046b2ob2o205b3obo
7b2o2bo5bob2o25b3o$3268bob3o4b3o18b2ob2o3b2o2bo$3257bo18bo2b2o3b2ob2o
9bo3bo4bo2b2o1312b3o$3257bo13bo3b2o2bo4bo3bo10b3o4bo2b2o667b2o644bo2bo
$3257bo13bo4b2o2bo4b3o18b3o668bobo644bo2bo$3271bo6b3o696b2o643b2o3b2o$
4622bobobobo$4623b2ob2o$4624bo2$4634bo$4632b3o$3030b2o1598b4o$3029bobo
1599bobo$3029b2o1600b3o11$4634b2ob2o$4634bo3bo$4068bo566bobo$4067bobo
566bo$4066bo3bo$4066b2ob2o567b3o$4637bo3bo$4637b2ob2o5$3119b3o$3118bo
3bo$3118b2ob2o3$4050b2o$4049bobo$4049b2o7$3102b2o$3101bobo$3101b2o8$
3254b3o$3253bo3bo$3253b2ob2o4$4139b3o$4138bo3bo$4138b2ob2o6$3192bo$
3191bobo$3190bo3bo$3190b2ob2o3$4122b2o$4121bobo$4121b2o7$3174b2o$3173b
obo$3173b2o118bo$3281bo10b3o$3280b3o8bo2bo$3258b2o20bo2bo6b2ob4o$3257b
o20b4ob2o6b2o3b2o$3257bo2bo16b2o3b2o13b2o$3257b5o14b2o14b2o2b2o$3277b
2o2b2o9bo$3282bo$3293b3o$3279b3o3$4212bo$4211bobo$4210bo3bo$4210b2ob2o
12$4194b2o$4193bobo$4193b2o23$4283b3o$4282bo3bo$4282b2ob2o12$4266b2o$
4265bobo$4265b2o22$4356bo$4355bobo$4354bo3bo$4354b2ob2o12$4338b2o$
4337bobo$4337b2o23$4427b3o$4426bo3bo$4426b2ob2o12$4410b2o$4409bobo$
4409b2o22$4500bo$4499bobo$4498bo3bo$4498b2ob2o10$4881bo$4880b3o$4482b
2o396bo2bo$4481bobo400bo$4481b2o398bobo$4881b2o3$4850bo$4849b3o$4848b
2o2bo$4849bo2b2o$4850b3o$4851bo12b3o$4843bo19bo3bo$4842bo20b2ob2o$
4840b2ob3o$4839b2o4b2o$4840bo3bob2o$4841bob4o$4845bo$4874bob2o$4855b2o
7b2o6bo4bo$4852b5o7b5o3bo13bobo$4852bo3bo7bo3bo2b2obo5b2o4b2obo$4852b
2o2b2o5b2o2b2o3bo8bo6bo$4854bo2bo5bo2bo5bo4bo2b2o6b2o$4571b3o280b3o7b
3o7b2obo$4570bo3bo310bo$4570b2ob2o305bo$4879b2o3bo$4880bo2bo$4881b3o$
4882bo3bo$4874bo10b3o$4873b3o8bo2b2o$4872b2o2bo6bobobo$4873bobobo9bobo
$4871bobo13bobo$4871bobo12bo$4874bo12b2o$4554b2o316b2o$4553bobo$4553b
2o2$4866bobo$4852bobo$4867bo$4853bo10bob3o$4852b3obo7bo3b2o$4851b2o3bo
11bo7b2ob2o$4852bo12b3o8bo3bo$4853b3o10bo10b3o$4854bo12$4644bo$4643bob
o$4642bo3bo$4642b2ob2o$4870bo$4869b3o$4869bob2o6$4868bob2o$4868b3o$
4869bo$4626b2o$4625bobo$4625b2o23$4715b3o$4714bo3bo$4714b2ob2o5$5000b
3o$4999bo3bo$4999b2ob2o5$4698b2o$4697bobo$4697b2o22$4788bo208b3o$4787b
obo206bo2bo9b3o35bo$4786bo3bo205bo2b2o8bo2bo6bo25b2obo$4786b2ob2o205b
3obo7b2o2bo5bob2o25b3o$5008bob3o4b3o18b2ob2o3b2o2bo$4997bo18bo2b2o3b2o
b2o9bo3bo4bo2b2o$4997bo13bo3b2o2bo4bo3bo10b3o4bo2b2o$4997bo13bo4b2o2bo
4b3o18b3o$5011bo6b3o7$4770b2o$4769bobo$4769b2o23$4859b3o$4858bo3bo$
4858b2ob2o12$4842b2o$4841bobo$4841b2o8$4994b3o$4993bo3bo$4993b2ob2o12$
4932bo$4931bobo$4930bo3bo$4930b2ob2o12$4914b2o$4913bobo$4913b2o118bo$
5021bo10b3o$5020b3o8bo2bo$4998b2o20bo2bo6b2ob4o$4997bo20b4ob2o6b2o3b2o
$4997bo2bo16b2o3b2o13b2o$4997b5o14b2o14b2o2b2o$5017b2o2b2o9bo$5022bo$
5033b3o$5019b3o!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!
- NimbleRogue
- Posts: 524
- Joined: January 11th, 2021, 11:48 pm
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 101, y = 102, rule = B2in3-cekn4eikz5ry6ci/S2aek3-ace4it5-jqy6i7c
10$31bo$30b3o$28bo3b2o$28bobo2bo$29bo8$29b2o$28b3o$27bo2bo$27b2o$27b2o
2bo$28b3o$29bo57$74bo$73bobo$71b2obobo$71b2obob2o$72b2ob2o$74b2o!
Code: Select all
x = 19, y = 14, rule = B2in3-ekn4ceikqtz5r6cin/S2aek3-ace4ei5kn6cei7e8
10b2o$10b3o$10bobo$11b3o$11bo$12b2o$11bobo$10bob2o$10b3o$11bo!
Code: Select all
x = 4, y = 3, rule = B3-cnqy4e5kr6n7c/S2-i3-ay4einrtyz5cejn6cin78
bo$3o$ob2o!
Code: Select all
#14c/85265o
x = 10, y = 4, rule = B2-an3-iqy4iknrtz5aijqy6aei78/S02ck3nqy4eiqrtwy5-ekq6-i78
2bo4bo$3b4o$ob6obo$2b6o!
- LaundryPizza03
- Posts: 2279
- Joined: December 15th, 2017, 12:05 am
- Location: Unidentified location "https://en.wikipedia.org/wiki/Texas"
Re: Smallest Spaceships Supporting Specific Speeds (5s) Project
Code: Select all
x = 40, y = 36, rule = B3-cjny4jktz5cjy6ci/S2-ci3-ae4eit5aek7c
27b3o2b2o$27bo$27b3o$33bobo$30b2obobo$33b3o8$32b3o$32bo2bo$32bo2bo$32b
4o2$38b2o$39bo$37b3o8$5bo$4b3o$3b2obo$2bobo$b3o$2o$b3o$2bo!
Code: Select all
x = 4, y = 3, rule = B3-q4z5y/S234k5j
2b2o$b2o$2o!
The latest edition of new-gliders.db.txt and oscillators.db.txt have 35296 spaceships and 1451 oscillators from outer-totalistic rules. You are invited to help!