I actually didn't have the scripts, or patterns installed, so I reinstalled it and it works now.Scorbie wrote:Whoops, my bad. it's in Scripts/Python/glife.
Hacking apgsearch
Re: Hacking apgsearch
\100\97\110\105
Re: Hacking apgsearch
I'm having trouble with the A for awesome's version of apgnano.
In this rule:
It classifies this:
As "pathological"
For those wondering it's a regular LWSS.
In this rule:
Code: Select all
@RULE testlife
@TABLE
n_states:2
neighborhood:Moore
symmetries:rotate4reflect
0,1,1,1,0,0,0,0,0,1
0,1,1,0,1,0,0,0,0,1
0,1,1,0,0,1,0,0,0,1
0,1,1,0,0,0,1,0,0,1
0,1,1,0,0,0,0,1,0,1
0,1,1,0,0,0,0,0,1,1
0,1,0,1,0,1,0,0,0,1
0,1,0,1,0,0,1,0,0,1
0,1,0,0,1,0,1,0,0,1
0,0,1,0,1,0,1,0,0,1
0,1,1,1,1,1,1,0,0,1
1,0,0,0,0,0,0,0,0,0
1,1,0,0,0,0,0,0,0,0
1,0,1,0,0,0,0,0,0,0
1,1,1,1,1,0,0,0,0,0
1,1,1,1,0,1,0,0,0,0
1,1,1,1,0,0,1,0,0,0
1,1,1,0,1,1,0,0,0,0
1,1,1,0,1,0,1,0,0,0
1,1,1,0,1,0,0,1,0,0
1,1,1,0,1,0,0,0,1,0
1,1,1,0,0,1,1,0,0,0
1,1,1,0,0,1,0,1,0,0
1,1,1,0,0,1,0,0,1,0
1,1,1,0,0,0,1,1,0,0
1,1,0,1,0,1,0,1,0,0
1,0,1,0,1,0,1,0,1,0
1,0,0,0,1,1,1,1,1,0
1,0,0,1,0,1,1,1,1,0
1,0,0,1,1,0,1,1,1,0
1,0,0,1,1,1,0,1,1,0
1,0,0,1,1,1,1,0,1,0
1,0,0,1,1,1,1,1,0,0
1,0,1,0,1,0,1,1,1,0
1,0,1,0,1,1,0,1,1,0
1,0,1,1,0,1,0,1,1,0
1,1,0,1,0,1,0,1,1,0
1,0,0,1,1,1,1,1,1,0
1,0,1,0,1,1,1,1,1,0
1,0,1,1,0,1,1,1,1,0
1,0,1,1,1,0,1,1,1,0
1,1,0,1,0,1,1,1,1,0
1,1,0,1,1,1,0,1,1,0
1,0,1,1,1,1,1,1,1,0
1,1,0,1,1,1,1,1,1,0
1,1,1,1,1,1,1,1,1,0
@COLORS
0 0 0 0
1 255 255 255
Code: Select all
x = 5, y = 4, rule = testlife
o2bo$4bo$o3bo$b4o!
For those wondering it's a regular LWSS.
\100\97\110\105
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
That's weird; XWSS detection was working just fine in klife when I tested it.drc wrote: It classifies this:
As "pathological"Code: Select all
x = 5, y = 4, rule = testlife o2bo$4bo$o3bo$b4o!
For those wondering it's a regular LWSS.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 Saka
 Posts: 3399
 Joined: June 19th, 2015, 8:50 pm
 Location: In the kingdom of Sultan Hamengkubuwono X
 Contact:
Re: Hacking apgsearch
I get an error every time I try to use dlife (from life variations thread):
Not sure what's going on, the script works just fine for other rules (e.g. tlife, HeptaFish)
Code: Select all
Error reading APG_ContagiousLife_dlife.rule on line 242: 0,aa,ab,ba,ac,bb,bc,bd,be, too few entries
Code: Select all
o3b2ob2obo3b2o2b2o$bo3b2obob3o3bo2bo$2bo2b3o5b3ob4o$3o3bo2bo2b3o3b3o$
4bo4bobo4bo$2o2b2o2b4obo2bo3bo$2ob4o3bo2bo2bo2bo$b2o3bobob2o$3bobobo5b
obobobo$3bobobob2o3bo2bobo!
Add your computer to the Table of Lifeenthusiast Computers!
Re: Hacking apgsearch
There's a typo on that line. There are 9 entries and an empty one afterSaka wrote:I get an error every time I try to use dlife (from life variations thread):Not sure what's going on, the script works just fine for other rules (e.g. tlife, HeptaFish)Code: Select all
Error reading APG_ContagiousLife_dlife.rule on line 242: 0,aa,ab,ba,ac,bb,bc,bd,be, too few entries
\100\97\110\105
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
It's because I was stupid and didn't test the script enough before releasing it. The line 0,1,1,0,1,0,0,0,0,0 in the dlife rule table wasn't accounted for in the last two conditionals in the function that produces the ContagiousLife table. To fix it, just replace the RuleGenerator.saveContagiousLife() function withSaka wrote:I get an error every time I try to use dlife (from life variations thread):Not sure what's going on, the script works just fine for other rules (e.g. tlife, HeptaFish)Code: Select all
Error reading APG_ContagiousLife_dlife.rule on line 242: 0,aa,ab,ba,ac,bb,bc,bd,be, too few entries
Code: Select all
def saveContagiousLife(self):
comments = """
A variant of HistoricalLife used for detecting dependencies between
islands.
state 0: vacuum
state 1: ON
state 2: OFF
"""
table = "n_states:7\n"
table += "neighborhood:Moore\n"
if ruletype:
table += "symmetries:permute\n\n"
table += self.newvars(["a","b","c","d","e","f","g","h","i"], range(0, 7, 1))
table += self.newvars(["la","lb","lc","ld","le","lf","lg","lh","li"], range(1, 7, 2))
table += self.newvars(["da","db","dc","dd","de","df","dg","dh","di"], range(0, 7, 2))
table += self.newvar("p",[3, 4])
table += self.newvars(["ta","tb","tc","td","te","tf","tg","th","ti"], [3])
table += self.newvars(["qa","qb","qc","qd","qe","qf","qg","qh","qi"], [0, 1, 2, 4, 5, 6])
for i in xrange(9):
if (self.bee[i]):
table += self.scoline("l","d",4,3,i)
table += self.scoline("l","d",2,1,i)
table += self.scoline("l","d",0,1,i)
table += self.scoline("l","d",6,5,i)
table += self.scoline("t","q",0,4,i)
if (self.ess[i]):
table += self.scoline("l","d",3,3,i)
table += self.scoline("l","d",5,5,i)
table += self.scoline("l","d",1,1,i)
table += "# Default behaviour (death):\n"
table += self.scoline("","",1,2,0)
table += self.scoline("","",5,6,0)
table += self.scoline("","",3,4,0)
else:
rule1 = open(g.getdir("app") + "Rules/" + self.slashed + ".rule", "r")
lines1 = rule1.read().split("\n")
rule1.close()
for q in xrange(len(lines1)1):
if lines1[q].startswith("@TABLE"):
lines1 = lines1[q:]
break
vars = []
for q in xrange(len(lines1)1): #Copy symmetries and vars
i = lines1[q]
if i[:2] == "sy" or i[:1] == "sy":
table += i + "\n\n"
if i[:2] == "va" or i[:1] == "va":
table += self.newvar(i[4:5].replace("=", ""), [0, 1, 2])
vars.append(i[4:5].replace("=", ""))
if i != "":
if i[0] == "0" or i[0] == "1":
break
alpha = "abcdefghijklmnopqrstuvwxyz"
ovars = []
for i in alpha:
if not i in [n[0] for n in vars]: #Create new set of vars for ON cells
table += self.newvars([i + j for j in alpha[:9]], [1, 3, 5])
ovars = [i + j for j in alpha[:9]]
break
dvars = []
for i in alpha:
if not i in [n[0] for n in vars] and not i in [n[0] for n in ovars]: #Create new set of vars for OFF cells
table += self.newvars([i + j for j in alpha[:9]], [0, 2, 4, 6])
dvars = [i + j for j in alpha[:9]]
break
for i in alpha:
if not i in [n[0] for n in vars] and not i in [n[0] for n in ovars] and not i in [n[0] for n in dvars]:
for j in xrange(8len(vars)):
table += self.newvar(i + alpha[j], [0, 1, 2, 3, 4, 5, 6])
vars.append(i + alpha[j])
break
qvars = []
for i in alpha:
if not i in [n[0] for n in vars] and not i in [n[0] for n in ovars] and not i in [n[0] for n in dvars]:
table += self.newvars([i + j for j in alpha[:9]], [0, 1, 2, 4, 5, 6])
qvars = [i + j for j in alpha[:9]]
break
for i in lines1:
q = i.split("#")[0].replace(" ", "").split(",")
if len(q) > 1 and not i.startswith("var"):
vn = 0
ovn = 0
dvn = 0
qvn = 0
table += str(2int(q[0])) + ","
for j in q[1:1]:
if j == "0":
table += dvars[dvn]
dvn += 1
elif j == "1":
table += ovars[ovn]
ovn += 1
elif j != "#":
table += vars[vn]
vn += 1
table += ","
if q[len(q)1] == "0":
table += "2"
if q[len(q)1] == "1":
table += "1"
table += "\n"
vn = 0
ovn = 0
dvn = 0
qvn = 0
table += str(4int(q[0])) + ","
for j in q[1:1]:
if j == "0":
table += dvars[dvn]
dvn += 1
elif j == "1":
table += ovars[ovn]
ovn += 1
elif j != "#":
table += vars[vn]
vn += 1
table += ","
if q[len(q)1] == "0":
table += "4"
if q[len(q)1] == "1":
table += "3"
table += "\n"
vn = 0
ovn = 0
dvn = 0
qvn = 0
table += str(6int(q[0])) + ","
for j in q[1:1]:
if j == "0":
table += dvars[dvn]
dvn += 1
elif j == "1":
table += ovars[ovn]
ovn += 1
elif j != "#":
table += vars[vn]
vn += 1
table += ","
if q[len(q)1] == "0":
table += "6"
if q[len(q)1] == "1":
table += "5"
table += "\n"
for i in lines1:
q = i.split("#")[0].replace(" ", "").split(",")
if len(q) > 1:
vn = 0
ovn = 0
dvn = 0
qvn = 0
if q[0] == "0":
table += "0,"
for j in q[1:1]:
if j == "0":
table += dvars[dvn]
dvn += 1
elif j == "1":
table += ovars[ovn]
ovn += 1
elif j != "#":
table += vars[vn]
vn += 1
table += ","
if q[len(q)1] == "1":
table += "1"
else:
table += "0"
table += "\n"
for i in lines1:
q = i.split("#")[0].replace(" ", "").split(",")
if len(q) > 1:
vn = 0
ovn = 0
dvn = 0
qvn = 0
if q[0] == "0":
table += "0,"
for j in q[1:1]:
if j == "0":
table += qvars[qvn]
qvn += 1
elif j == "1":
table += "3"
elif j != "#":
table += vars[vn]
vn += 1
table += ","
if q[len(q)1] == "1":
table += "4"
else:
table += "0"
table += "\n"
colours = """
0 0 0 0
1 0 0 255
2 0 0 127
3 255 0 0
4 127 0 0
5 0 255 0
6 0 127 0
"""
self.saverule("APG_ContagiousLife_"+self.alphanumeric, comments, table, colours)
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 gameoflifeboy
 Posts: 474
 Joined: January 15th, 2015, 2:08 am
Re: Hacking apgsearch
I just modified "A for awesome"'s version of apgsearch to read rule tables from your custom rules folder (g.getdata('rules')) instead of Golly's rules folder.
I call it "apgsearch20151220v0.54+0.1i+0.1j.py":
I call it "apgsearch20151220v0.54+0.1i+0.1j.py":
 Attachments

 apgsearch20151220v0.54+0.1i+0.1j.zip
 (154.99 KiB) Downloaded 298 times
Re: Hacking apgsearch
I tried this out and it seems to work fine. Is every soup with an LWSS triggering the Pathological detection? It seems more likely to me that an LWSS is colliding with something after the soup was determined to be stable.drc wrote:I'm having trouble with the A for awesome's version of apgnano.
In this rule:It classifies this:Code: Select all
@RULE testlife @TABLE [snip]
As "pathological"Code: Select all
x = 5, y = 4, rule = testlife o2bo$4bo$o3bo$b4o!
Can you provide the seed, symmetry and soup number where this occurs?
The latest version of the 5S Project contains over 226,000 spaceships. There is also a GitHub mirror of the collection. Tabulated pages up to period 160 (out of date) are available on the LifeWiki.
 gameoflifeboy
 Posts: 474
 Joined: January 15th, 2015, 2:08 am
Re: Hacking apgsearch
In Move variants, apgsearch v0.54 + v0.1i reports gliders, even though the rule doesn't support them. I suspect the "gliders" it's reporting are actually "spinning gliders", a p4 oscillator in Movelike rules. In fact, the phase of the glider given by its apgcode is different from the spinning glider, which means apgsearch is recognizing the gliders by their wrong phase.
EDIT: I now think this is happening because glidersexist() doesn't get called on nonLifelike rules, but the gliders are getting detected anyway.
EDIT: I now think this is happening because glidersexist() doesn't get called on nonLifelike rules, but the gliders are getting detected anyway.
 Attachments

 Screenshot of move_rep census, with "glider" reported as a spaceship
 apgsearch_error.png (12.47 KiB) Viewed 17125 times
Last edited by gameoflifeboy on December 23rd, 2015, 9:31 pm, edited 1 time in total.
Re: Hacking apgsearch
I noticed that too, its weirdgameoflifeboy wrote:In Move variants, apgsearch v0.54 + v0.1i reports gliders, even though the rule doesn't support them. I suspect the "gliders" it's reporting are actually "spinning gliders", a p4 oscillator in Movelike rules. In fact, the phase of the glider given by its apgcode is different from the spinning glider, which means apgsearch is recognizing the gliders by their wrong phase.
\100\97\110\105
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
Sorry about that; that will be fixed in the next version.drc wrote:I noticed that too, its weirdgameoflifeboy wrote:In Move variants, apgsearch v0.54 + v0.1i reports gliders, even though the rule doesn't support them. I suspect the "gliders" it's reporting are actually "spinning gliders", a p4 oscillator in Movelike rules. In fact, the phase of the glider given by its apgcode is different from the spinning glider, which means apgsearch is recognizing the gliders by their wrong phase.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
 Numerous bug fixes, including the ones for xrulepre and dlife.
 Gliders are now tested on a rulebyrule basis.
 Added rules to identify and expunge T's.
 Adapted Gameoflifeboy's modification to allow rules from your Rules folder.
 Minor changes to object scores.
 More accurate scores for a multitude of rules.
 Rule to separate noninteracting combinations of highperiod oscillators.
 Modifications to countxwsses() that add support for other, rulespecific p4 spaceships.
 Bounded grids (for exploding rules.)
 Support for Generations, PlusMinus, or custom 3state rules.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
Found a bug in the T identification; a fix is to insert the line after the line in RuleGenerator.saveIdentifyTs() and the line before the line in RuleGenerator.saveAdvanceTs().
Code: Select all
1,1,2,1,2,1,12,2,0,3
Code: Select all
1,1,o,1,oa,1,io,ioa,io,3
Code: Select all
o,oa,13,ob,oc,od,13,oe,of,o
Code: Select all
#Survival
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
Another (very dirtily) hacked variant of apgsearch, which enumerates all patterns within a given bounding box, runs them to completion, and censuses the result:
P.S. Don't be alarmed by the weird error message that shows up right after the results are displayed. As far as I know, it's inconsequential.
There isn't much to explain. Just run it like you would normal apgsearch and enter in the number of soups (preferably a number higher than the total number of patterns that fit within the bounding box you're searching), the dimensions of the box you're searching, and the rule.P.S. Don't be alarmed by the weird error message that shows up right after the results are displayed. As far as I know, it's inconsequential.
Last edited by A for awesome on December 29th, 2015, 6:57 pm, edited 1 time in total.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
Re: Hacking apgsearch
Works better on my system with a small change to line 50. I got the errorA for awesome wrote:Another (very dirtily) hacked variant of apgsearch, which enumerates all patterns within a given bounding box, runs them to completion, and censuses the result...
Code: Select all
File "apgsearchMxNrect0.1.py", line 50, in hashsoup
for i in xrange(math.floor(math.log(sym+1, 2))+1):
TypeError: integer argument expected, got float
for i in xrange(int(math.floor(math.log(sym+1, 2)))+1):
math.floor() is rumored to return a float in Python 2.x but not in 3.x. Is there a Python 2.x version that works with Golly but doesn't throw the above error?
Also, if you specify a number larger than the total possible number of MxN patterns, does the script stop when it has enumerated every possible pattern once? I'm trying a 5x5 run in B3/S23, so it will be a while before I get to 33554432 to see for myself.
I don't quite understand your line 11252; seems as if the min() calculation cuts the number of iterations down to the right size, but if I put in a really big number, the script would go round and round because the limit poweroftwo value isn't being divided by the number of soups per page. Looks like it should be
for i in xrange(min(int((number1)/spp)+1, int((2**(c.x*c.y)1)/spp)+1)):
For example, that successfully runs just 2^9=512 3x3 soups, instead of going through 64x512 = 32768 of them before stopping.
Another random thought: the current script doesn't account for rotations and reflections, so in a 5x5 search it will eventually census all eight orientations of 2obo$b2obo$2ob2o$b3o! (for example).
Have you considered generating all orientations of each candidate pattern, and letting apgsearch run a candidate only if no other orientation sorts lower? Pretty much any sort criterion would work.
With all that extra flipping/rotating/sorting work, it might not save much time in the end, but you wouldn't end up with identical census results in lots of groups of two or four or eight.
 A for awesome
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Re: Hacking apgsearch
Thanks for the pointers and suggestions. I have just fixed the original version to accommodate your fixes. No, the version you have does not stop when it has enumerated all possible MxN patterns; it instead enumerates them 64 times, except for the last page, which it enumerates only 63 times. This should be fixed in the updated version.dvgrn wrote:Works better on my system with a small change to line 50. I got the errorA for awesome wrote:Another (very dirtily) hacked variant of apgsearch, which enumerates all patterns within a given bounding box, runs them to completion, and censuses the result...
Wrapping math.floor() in an int() seemed to solve the problem:Code: Select all
File "apgsearchMxNrect0.1.py", line 50, in hashsoup for i in xrange(math.floor(math.log(sym+1, 2))+1): TypeError: integer argument expected, got float
for i in xrange(int(math.floor(math.log(sym+1, 2)))+1):
math.floor() is rumored to return a float in Python 2.x but not in 3.x. Is there a Python 2.x version that works with Golly but doesn't throw the above error?
Also, if you specify a number larger than the total possible number of MxN patterns, does the script stop when it has enumerated every possible pattern once? I'm trying a 5x5 run in B3/S23, so it will be a while before I get to 33554432 to see for myself.
I don't quite understand your line 11252; seems as if the min() calculation cuts the number of iterations down to the right size, but if I put in a really big number, the script would go round and round because the limit poweroftwo value isn't being divided by the number of soups per page. Looks like it should be
for i in xrange(min(int((number1)/spp)+1, int((2**(c.x*c.y)1)/spp)+1)):
For example, that successfully runs just 2^9=512 3x3 soups, instead of going through 64x512 = 32768 of them before stopping.
Another random thought: the current script doesn't account for rotations and reflections, so in a 5x5 search it will eventually census all eight orientations of 2obo$b2obo$2ob2o$b3o! (for example).
Have you considered generating all orientations of each candidate pattern, and letting apgsearch run a candidate only if no other orientation sorts lower? Pretty much any sort criterion would work.
With all that extra flipping/rotating/sorting work, it might not save much time in the end, but you wouldn't end up with identical census results in lots of groups of two or four or eight.
Generating only one orientation of each pattern would probably be efficient enough by far to produce an increase in performance, but I have no idea how to do that.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
Re: Hacking apgsearch
Nice!A for awesome wrote:Another (very dirtily) hacked variant of apgsearch, which enumerates all patterns within a given bounding box, runs them to completion, and censuses the result:There isn't much to explain. Just run it like you would normal apgsearch and enter in the number of soups (preferably a number higher than the total number of patterns that fit within the bounding box you're searching), the dimensions of the box you're searching, and the rule.
P.S. Don't be alarmed by the weird error message that shows up right after the results are displayed. As far as I know, it's inconsequential.
Code: Select all
x = 5, y = 3, rule = B3/S23
o2b2o$ob2o$4o!
Edit: And eliminate 1 and 2 cell islands.
\100\97\110\105
Re: Hacking apgsearch
Derive each pattern from a seed integer, in the same way that the official apgsearch derives a pattern from a SHA256 hash. Before running the pattern, take all of its reflections and rotations, and reverseengineer their respective seeds. Run the pattern only if its seed is the lowest among its orientations.A for awesome wrote:Generating only one orientation of each pattern would probably be efficient enough by far to produce an increase in performance, but I have no idea how to do that.
A further performance speedup could be gained by considering the corner cells of the pattern. Try the above paragraph on 2x2 bounding boxes, and it turns out that you can throw out 10 of every 16 seed integers automatically. So, if you derive the corner cells of a pattern from the last four binary digits of a seed, you know that certain seed integers modulo 16 will be automatically invalid, and you can skip them.
EDIT: Correction; 10 of 16 patterns cannot be discarded for M=/=N, but some still can.
Tanner Jacobi
Coldlander, a novel, available in paperback and as an ebook.
Coldlander, a novel, available in paperback and as an ebook.
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
That's not what I meant. I don't know how to do that and then incorporate that algorithm into the script without ruining the other modifications I made. There are some restrictions in the script with the loop variable being used as the soup counter, and I can't really just skip some soups or it doesn't know when to stop. As I said, it's a dirty hack, so I'm not too invested in adding that implementation; it would take too much time and there's a very good chance I would just make a very big mess of things.Kazyan wrote:Derive each pattern from a seed integer, in the same way that the official apgsearch derives a pattern from a SHA256 hash. Before running the pattern, take all of its reflections and rotations, and reverseengineer their respective seeds. Run the pattern only if its seed is the lowest among its orientations.A for awesome wrote:Generating only one orientation of each pattern would probably be efficient enough by far to produce an increase in performance, but I have no idea how to do that.
A further performance speedup could be gained by considering the corner cells of the pattern. Try the above paragraph on 2x2 bounding boxes, and it turns out that you can throw out 10 of every 16 seed integers automatically. So, if you derive the corner cells of a pattern from the last four binary digits of a seed, you know that certain seed integers modulo 16 will be automatically invalid, and you can skip them.
EDIT: Correction; 10 of 16 patterns cannot be discarded for M=/=N, but some still can.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
Re: Hacking apgsearch
Is there any apgsearch variant that you can run and it tallies objects of the current pattern? like:
Would return:
xp2_7 1
xs4_33 1
xs5_253 1
Code: Select all
x = 9, y = 8, rule = B3/S23
2o$2o$6b2o$6bobo$7bo3$3b3o!
xp2_7 1
xs4_33 1
xs5_253 1
\100\97\110\105
Re: Hacking apgsearch
With apgsearch hacked 122715
What's errorcorrecting phase?It seems to be screwing up the search and making it slower, things like still lifes and oscillators classed as gliders under xq1_(code), and xq1_0, which is impossible. It only seems to occur when no commas occur in the rule nodes.
What's errorcorrecting phase?It seems to be screwing up the search and making it slower, things like still lifes and oscillators classed as gliders under xq1_(code), and xq1_0, which is impossible. It only seems to occur when no commas occur in the rule nodes.
\100\97\110\105
 A for awesome
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 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
Oh, sorry; that's a case I forgot to deal with. I'll fix that in the next version.drc wrote:With apgsearch hacked 122715
What's errorcorrecting phase?It seems to be screwing up the search and making it slower, things like still lifes and oscillators classed as gliders under xq1_(code), and xq1_0, which is impossible. It only seems to occur when no commas occur in the rule nodes.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
 gameoflifeboy
 Posts: 474
 Joined: January 15th, 2015, 2:08 am
Re: Hacking apgsearch
Nathaniel once made a program that did something like this.drc wrote:Is there any apgsearch variant that you can run and it tallies objects of the current pattern?
It became the Online LifeLike CA Soup Search, and you know what happened to that.
Re: Hacking apgsearch
Yeah, I wish it had an output file though.gameoflifeboy wrote:Nathaniel once made a program that did something like this.drc wrote:Is there any apgsearch variant that you can run and it tallies objects of the current pattern?
It became the Online LifeLike CA Soup Search, and you know what happened to that.
\100\97\110\105
 A for awesome
 Posts: 2036
 Joined: September 13th, 2014, 5:36 pm
 Location: 0x1
 Contact:
Re: Hacking apgsearch
The latest update to apgsearchv0.54+0.Ni:
Changes since the previous version:
The RuleGenerator.testHensel function is also useful for standalone use:
Update 2616:
Updated Henseltest.py, changing v to n.
Changes since the previous version:
 Optionally uploads results to Catagolue (using Alan Hensel's rule notation; a new function RuleGenerator.testHensel determines the rule notation), but still displays results in the original format locally.
 Pseudopattern separation can now be turned off (i.e. the script can census pseudostilllives and oscillators now) when not uploading results.
 Somewhatupdated commonnames dict, with the names of the most common pseudoSLs and pseudooscillators in Life and dots, dominoes, and duoplets included.
 Sqrtspp optimization is buggy, often alternates between 9, 10, and 11 before settling on 10.
 Glider tagalongs (such as this one: ) are sometimes erroneously separated, resulting in their being classified as pathological objects.
Code: Select all
x = 6, y = 5, rule = B3/S23a 2o$obo$o$3bo$3b3o!
 Results in no visible errors but many pathological objects detected when a rule table has been modified after apgsearch has already been run in that rule.
The RuleGenerator.testHensel function is also useful for standalone use:
Code: Select all
#Henseltest.py
#To setup, copy this into a file, name it "henseltest.py",
# and put the file in Golly's scripts folder.
#Enter the name of the rule whose Hensel notation you want
# to determine, and this script copies the result to the clipboard.
import golly as g
class Foo:
slashed = g.getstring("Enter name of rule to test", "Life")
def testHensel(self):
#Dict containing all possible transitions:
dict = {
"0" : "0,0,0,0,0,0,0,0",
"1e" : "1,0,0,0,0,0,0,0", # N
"1c" : "0,1,0,0,0,0,0,0", # NE
"2a" : "1,1,0,0,0,0,0,0", # N, NE
"2e" : "1,0,1,0,0,0,0,0", # N, E
"2k" : "1,0,0,1,0,0,0,0", # N, SE
"2i" : "1,0,0,0,1,0,0,0", # N, S
"2c" : "0,1,0,1,0,0,0,0", # NE, SE
"2n" : "0,1,0,0,0,1,0,0", # NE, SW
"3a" : "1,1,1,0,0,0,0,0", # N, NE, E
"3n" : "1,1,0,1,0,0,0,0", # N, NE, SE
"3r" : "1,1,0,0,1,0,0,0", # N, NE, S
"3q" : "1,1,0,0,0,1,0,0", # N, NE, SW
"3j" : "1,1,0,0,0,0,1,0", # N, NE, W
"3i" : "1,1,0,0,0,0,0,1", # N, NE, NW
"3e" : "1,0,1,0,1,0,0,0", # N, E, S
"3k" : "1,0,1,0,0,1,0,0", # N, E, SW
"3y" : "1,0,0,1,0,1,0,0", # N, SE, SW
"3c" : "0,1,0,1,0,1,0,0", # NE, SE, SW
"4a" : "1,1,1,1,0,0,0,0", # N, NE, E, SE
"4r" : "1,1,1,0,1,0,0,0", # N, NE, E, S
"4q" : "1,1,1,0,0,1,0,0", # N, NE, E, SW
"4i" : "1,1,0,1,1,0,0,0", # N, NE, SE, S
"4y" : "1,1,0,1,0,1,0,0", # N, NE, SE, SW
"4k" : "1,1,0,1,0,0,1,0", # N, NE, SE, W
"4n" : "1,1,0,1,0,0,0,1", # N, NE, SE, NW
"4z" : "1,1,0,0,1,1,0,0", # N, NE, S, SW
"4j" : "1,1,0,0,1,0,1,0", # N, NE, S, W
"4t" : "1,1,0,0,1,0,0,1", # N, NE, S, NW
"4w" : "1,1,0,0,0,1,1,0", # N, NE, SW, W
"4e" : "1,0,1,0,1,0,1,0", # N, E, S, W
"4c" : "0,1,0,1,0,1,0,1", # NE, SE, SW, NW
"5a" : "0,0,0,1,1,1,1,1", # SE, S, SW, W, NW
"5n" : "0,0,1,0,1,1,1,1", # E, S, SW, W, NW
"5r" : "0,0,1,1,0,1,1,1", # E, SE, SW, W,
"5q" : "0,0,1,1,1,0,1,1", # E, SE, S, W, NW
"5j" : "0,0,1,1,1,1,0,1", # E, SE, S, SW, NW
"5i" : "0,0,1,1,1,1,1,0", # E, SE, S, SW, W
"5e" : "0,1,0,1,0,1,1,1", # NE, SE, SW, W, NW,
"5k" : "0,1,0,1,1,0,1,1", # NE, SE, S, W, NW
"5y" : "0,1,1,0,1,0,1,1", # NE, E, S, W, NW
"5c" : "1,0,1,0,1,0,1,1", # N, E, S, W, NW
"6a" : "0,0,1,1,1,1,1,1", # E, SE, S, SW, W, NW
"6e" : "0,1,0,1,1,1,1,1", # NE, SE, S, SW, W, NW
"6k" : "0,1,1,0,1,1,1,1", # NE, E, S, SW, W, NW
"6i" : "0,1,1,1,0,1,1,1", # NE, E, SE, SW, W, NW
"6c" : "1,0,1,0,1,1,1,1", # N, E, S, SW, W, NW
"6n" : "1,0,1,1,1,0,1,1", # N, E, SE, S, W, NW
"7e" : "0,1,1,1,1,1,1,1", # NE, E, SE, S, SW, W, NW
"7c" : "1,0,1,1,1,1,1,1", # N, E, SE, S, SW, W, NW
"8" : "1,1,1,1,1,1,1,1",
}
#Represents the encoding in dict:
neighbors = [(1,0),(1,1),(0,1),(1,1),(1,0),(1,1),(0,1),(1,1)]
#Will store transitions temporarily:
d2 = [{},{}]
#Used to help a conversion later:
lnums = []
for i in xrange(9):
lnums.append([j for j in dict if int(j[0]) == i])
#Selfexplanatory:
g.setrule(self.slashed)
#Test each transition in turn:
for i in xrange(2):
for j in dict:
j2 = dict[j].split(",")
g.new("Testing Hensel notation...")
for k in xrange(len(j2)):
k2 = int(j2[k])
g.setcell(neighbors[k][0], neighbors[k][1], k2)
g.setcell(0, 0, i)
g.run(1)
d2[i][j] = int(g.getcell(0, 0)) == 1
#Will become the main table of transitions:
trans_ = [[],[]]
#Will become the final output string:
not_ = "B"
for i in xrange(2):
#Convert d2 to a more usable form
for j in xrange(9):
trans_[i].append({})
for k in lnums[j]:
trans_[i][j][k] = d2[i][k]
#Make each set of transitions:
for j in xrange(9):
#Number of present transitions for B/S[[j]]
sum = 0
for k in trans_[i][j]:
if trans_[i][j][k]:
sum += 1
#No transitions present:
if sum == 0:
continue
#All transitions present:
if sum == len(trans_[i][j]):
not_ += str(j)
continue
str_ = str(j) #Substring for current set of transitions
#Minus sign needed if more than half of
#current transition set is present.
minus = (sum >= len(trans_[i][j])/2)
if minus:
str_ += ""
str2 = "" #Another substring for current transition set
#Write transitions:
for k in trans_[i][j]:
if trans_[i][j][k] != minus:
str2 += k[1:]
#Append transitions:
not_ += str_ + "".join(sorted(str2))
if i == 0:
not_ += "/S"
g.new("Test finished.")
return not_
foo = Foo()
q = foo.testHensel()
g.setclipstr(q)
g.show(q + " copied to clipboard")
Updated Henseltest.py, changing v to n.
Last edited by A for awesome on February 6th, 2016, 3:40 pm, edited 1 time in total.
x₁=ηx
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce
V ⃰_η=c²√(Λη)
K=(Λu²)/2
Pₐ=1−1/(∫^∞_t₀(p(t)ˡ⁽ᵗ⁾)dt)
$$x_1=\eta x$$
$$V^*_\eta=c^2\sqrt{\Lambda\eta}$$
$$K=\frac{\Lambda u^2}2$$
$$P_a=1\frac1{\int^\infty_{t_0}p(t)^{l(t)}dt}$$
http://conwaylife.com/wiki/A_for_all
Aidan F. Pierce