def main():
apgcode = canonise()
if not apgcode:
g.warn(
'Failed to detect periodic behaviour after {} generations.'.format(
MAXPERIOD))
# 2G collisions
if apgcode in twoGcols:
cols = twoGcols[apgcode]
else:
cols = []
# 3G and 4G collisions
for cFile in compFiles:
with open(cFile) as cF:
found_code = False
for l in cF:
line = l.strip()
if not found_code:
if line == apgcode:
found_code = True
continue
elif '>' in line:
in_code, gstr, _ = line.split(">")
if in_code:
g.warn(
'Non-empty starting target in glider collision - Not implemented'
)
else:
cols.append(gstr)
else:
break
Ncols = len(cols)
if Ncols:
try:
cols = [reconstruct(col) for col in cols]
except Exception:
g.note(str(cols))
g.new("solutions")
g.show("{} collisions found".format(Ncols))
g.setname(apgcode)
if Ncols <= 20:
N = 5
else:
N = math.ceil(math.sqrt(Ncols)) + 1
offset = 100
for i, col in enumerate(cols):
g.putcells(col, int((i % N) * offset), int((i // N) * offset))
g.fit()
else:
g.note(
"No glider collisions found for constellation {}. Better luck next time"
.format(apgcode))
def write(asm):
binary = translateAll(asm)
g.open("computer.mc")
g.duplicate()
g.setname("programmed", 0)
g.movelayer(1, 0)
g.dellayer()
g.select([-25950, 1890, 450, 240])
g.cut()
for i in range(len(binary)):
for j in range(21):
if int(binary[i][j]):
g.select([-23639+i*600+j*300, 2159+i*600-j*300, 450, 240])
g.clear(0)
g.paste(-23639+i*600+j*300, 2159+i*600-j*300, "or")
g.putcells(startpatt) # copy starting pattern into this layer
startindex = g.addlayer() # create layer for starting pattern
g.setcolors([-1,0,255,0]) # set all states to green
g.putcells(startpatt) # copy starting pattern into this layer
# move currindex to above the envelope and starting pattern
g.movelayer(currindex, envindex)
g.movelayer(envindex, startindex)
currindex = startindex
startindex = currindex - 1
envindex = currindex - 2
# name the starting and envelope layers so user can run script
# again and continue from where it was stopped
g.setname(startname, startindex)
g.setname(envname, envindex)
# ------------------------------------------------------------------------------
def envelope ():
# draw stacked layers using same location and scale
g.setoption("stacklayers", 1)
g.show("Hit escape key to stop script...")
while True:
g.run(1)
if g.empty():
g.show("Pattern died out.")
break
g.setmag(0)
g.show("")
# plot the data (do last because it could take a while if numsteps is huge)
x = int(float(genlist[0] - mingen) / genscale)
y = int(float(poplist[0] - minpop) / popscale)
oldsecs = time()
for i in xrange(numsteps):
newx = int(float(genlist[i + 1] - mingen) / genscale)
newy = int(float(poplist[i + 1] - minpop) / popscale)
draw_line(x, -y, newx, -newy)
x = newx
y = newy
newsecs = time()
if newsecs - oldsecs >= 1.0: # update plot every second
oldsecs = newsecs
g.update()
htlist.append(g.getrect()[3])
plotlist.append(g.getcells(g.getrect()))
g.setlayer(plotlayer)
g.new('')
ht = 0
for i in range(len(plotlist)):
ht = ht + htlist[i] + 20
make_text(str(i)).put(-500, ht)
g.putcells(plotlist[i], 0, ht)
g.setclipstr(str(htlist))
g.setname('bk_plot')
return representation
# Compares strings first by length, then by lexicographical ordering.
# A hash character is worse than anything else.
def compare_representations(a, b):
if (a == "#"):
return b
elif (b == "#"):
return a
elif (len(a) < len(b)):
return a
elif (len(b) < len(a)):
return b
elif (a < b):
return a
else:
return b
pattern = canonise()
if pattern in consts:
g.new("solutions")
loc = consts.index(pattern)
g.show(str(len(cols[loc])) + " collisions found")
g.setname(pattern)
for e in cols[loc]:
g.putcells(g.parse(e),offset,0)
offset += 50
else:
g.note("No 3 glider collision found for that constellation. Better luck next time")
def prepare_burp():
highway_robber=pattern("""
143bo$143b3o$146bo$145b2o2$126bo42bo$126b3o38b3o$129bo36bo$128b2o11b2o
23b2o7b2o$141b2o32bo$108bo64bobo$108b3o6b2o54b2o$111bo5b2o$110b2o3$
111b2o$111b2o3b2o$116b2o35b2o23bo$154bo22bobo$151b3o8b2o14bo$151bo11bo
$98bo7bo53b3o$86bo11b3o5b3o51bo$84b3o14bo7bo32b2o$68bo14bo16b2o6b2o32b
obo30b2o$68b3o12b2o59bo30bobo$71bo72b2o31bo$70b2o105b2o$159bob2o$159b
2obo$71b2o$71b2o17b2o76b2o$90b2o76b2o5$104b2o$87b2o14bobo$87bo15bo74b
2o$88b3o11b2o74bo$90bo85bobo$84b2o90b2o$84bo$85b3o$87bo2$158b2o$159bo$
68b2o89bobo$67bobo90b2o$67bo25b2o$66b2o25bo$74b2o15bobo$74b2o15b2o98b
2o6bo$187bobo2bo4b3o$185b3ob2o5bo$184bo11b2o$185b3ob2o$177b2o8bob2o$
177b2o2$161b2o32b2o3b2o$161b2o32b2o3b2o$153b2o$88b2o2b2ob2o57bo18b2ob
2o$73b2o13bobo2bobo58bobo16b2obo$72bobo16b2o3bo58b2o21bo26bo$72bo19bob
2o76bob5o25bobo$71b2o16bo2bobo77b2o31bo$88bobobobo80b2o$89b2ob2o82bo$
173b3o$173bo33bo$171bobo31b3o$171b2o31bo$187b2o14bobo$187b2o15bo$83b2o
$83b2o$202b2o$202b2o2$175b2o$175b2o$72b2o123b2o$73bo19b2o102bo$73bobo
17bo76b2o26b3o$74b2o15bobo60b2o14b2o28bo$86bo4b2o62bo$85bobo64b3o$54bo
30bobo64bo$54b3o17b2o10bo$57bo15bobo$56b2o15bo116b2o$72b2o116bo$36b2o
49b2o102b3o$29b2o5b2o49bo105bo$29b2o57b3o6bo$90bo4b3o$94bo$31b2o17b2o
29b2o11b2o14b2o$31b2o17bo30b2o27b2o$25b2o21bobo$25b2o21b2o$116b2o$116b
2o36b2o$112b2o41bo$112b2o41bobo$156b2o$56b2o122b2o$56b2o11b2o109b2o$
69bo47b2o$70b3o44b2o$72bo2$22bo$22b3o55b2o96b2o$25bo53bobo96bo$24b2o
47b2o4bo99b3o$73b2o3b2o101bo$179b2o$76b4o99bo$75bo3bo97bobo$75b2o100b
2o$53b2o33bo22b2o$19b2o32b2o33b3o20bo$20bo70bo20b3o$20bobo67b2o22bo44b
o$21b2o136b3o$162bo$115bo45b2o$35b2o28b2o46b3o$35bobo27b2o45bo$37bo41b
2o6b2o23b2o$37b2o40b2o6bo2b2o$83b2o3b2obo$83b2o4bo89b2o$17bob2o68bo89b
o$17b2obo67b2obob2o18b2o62bobo$87bo2b2ob2o18bobo61b2o$26b2o60bo26bo$
26b2o33b2o26b3ob2o20b2o$60bo2bo27bobo66b2o$61bobo29bo66b2o15b2o$62bo
29b2ob2o80bobo$94bobo82bo$94bo84b2o$93b2o3$160b2o$160bo$158bobo$158b2o
2$16bo$16b3o$19bo33bo121b2obo$18b2o33b3o53b2o64bob2o$56bo52b2o$11bo43b
obo110b2o$11b3o42bo111b2o$14bo123bo$13b2o121b3o$57b2o19bo56bo$57b2o17b
3o19b2o20bo14b2o$75bo23bo19bobo$75b2o22bobo17bobo$100b2o15bobobobo34b
2o$10b2o19b2o79bo4b2o3b2o10bo24bo$10b2o19b2o47b2o29bobo19bobo23bobo$
80b2o29bobo19bobo24b2o$4bo95b2o10bo21bo4b2o$4b3o25b2o65bobo20b2o15bobo
$2o5bo24bo57b2o7bo21bobo17bo$bo4b2o25b3o54bo7b2o21bo19b2o36bo$bobo31bo
52bobo22b2o5b2o55b3o$2b2o29b2o53b2o23bo62bo$33bo17b2o61b3o28b2o29b2o$
31bobo4bo11bobo63bo28bo$31b2o3b3o11bo92bobo$35bo13b2o92b2o$35b2o94b2o$
61b2o68b2o$61b2o$b2o178b2o$b2o178bo$36b2o141bobo$36b2o141b2o3$27b2o37b
2o97b2o$27b2o36bobo51b2o43bobo$65bo54bo43bo$64b2o54bobo40b2o$121b2o2$
181b2obo$181bob2o2$40bo133b2o$38b3o133b2o$37bo$37b2o$138b2o$138b2o$42b
2o$42b2o78b2o$122b2o$114b2o$52b2o61bo18b2ob2o$52bo62bobo16b2obo$50bobo
63b2o21bo$50b2o81bob5o$13b2o118b2o$12bobo121b2o$12bo124bo$11b2o99bobo
19b3o$112b2obo18bo$23b2o90b3o$23b2o87b2o4bo$112bob5o$114bo$113bo3b2o$
108bo3bo3bobo$106b3o3b2o3bo$105bo$28b2o75b2o29b2o39b2o$27bobo106b2o38b
o2bo$27bo149b2o$26b2o2$131b2o$131b2o$135b2o$14b2o119b2o$14b2o35bo$49b
3o$48bo80b2o$48b2o63b2o14b2o$79bo33bo$68b2o7b3o34b3o$69bo6bo39bo$69bob
o4b2o$70b2o$109b2o$109bobo$111bo$111b2o7$103b2o$103bo$104b3o$106bo$13b
o19b2o$12bobo10b2o6bo5b2o41b2o$11bo2bo10bo8b3obobo41bo$12b2o9bobo10bob
o7b2o28b2obo3b3o$23b2o12b2o7b2o28b2ob4o2bo$82bo$64b2o6b2o2b2ob2o$63bob
o6bo4bobo$63bo9b4o2bo$62b2o7bobo2bobo$71b2o4bo!""")
connecting_neck=pattern("""
24bo$22b3o$21bo$21b2o$6b2o$7bo$7bobo$8b2o10bo$19bobo$19bobo$20bo4b2o$
8b2o15bobo$7bobo17bo$7bo19b2o$6b2o6$17b2o$17b2o7$23b2ob2o$22bobobobo$
5b2o16bo2bobo$6bo19bob2o$6bobo16b2o3bo$7b2o13bobo2bobo$22b2o2b2ob2o11$
8b2o15b2o$8b2o15bobo$2o25bo$bo25b2o$bobo$2b2o4$21bo107bo$19b3o106bobo$
18bo109bobo$18b2o106b3ob2o$24bo100bo$22b3o12bo84bo2b4ob2o$21bo15b3o82b
3o3bob2o$21b2o17bo84bo$39b2o83b2o26b2o$152bo$150bobo$150b2o2$24b2o$5b
2o17b2o76bo$5b2o95b3o6b2o$105bo5b2o41b2obo$104b2o48bob2o$4b2o$5bo141b
2o$2b3o12b2o86b2o40b2o$2bo14bo16b2o6b2o61b2o3b2o$18b3o14bo7bo66b2o$20b
o11b3o5b3o$32bo7bo$78bo51b2o3b2o$76b3o13bo38bo3bo$75bo16b3o33b3o5b3o$
50b2o23b2o18bo32bo9bo$45b2o3b2o42b2o42bobo$45b2o92b2o3$44b2o76b2o$45bo
5b2o69b2o$42b3o6b2o104b2o$42bo41b2o71bo$84b2o69bobo$61b2o92b2o$60bobo
62bo$60bo62b3o$59b2o10b2o49bo$72bo48bobo$69b3o9b2o39bo43b2o$69bo11bo
19b2o56b2o6bo$82bo17bobo56bo6bo$81b2o17bo19b2o35bobo6b2o$99b2o19b2o35b
2o$116b2o$116bo$117b3o24b2o$119bo23bobo$143bo25b2o$142b2o25b2o4$146b2o
$145bobo$145bo4b2o$144b2o5bo$148b3o5bo$148bo6bobo$156bo!""")
transmitter2c3=pattern("""
180b2o$180b2o$219bo$219b3o$178b2o42bo$116bo61b2o41b2o$115bobo47b2o99b
2o14bo$116bo49bo74b2o24bo14b3o$166bobo73bo13b2o6b3o18bo$167b2o73bobo
11b2o6bo19b2o12bo$110b2o51b2o78b2o53b3o$110b2o23b2o26b2o136bo$102b2o
31bo164b2o$103bo29bobo$103bobo27b2o$104b2o4b2o$110b2o162b2o$274b2o$
144b2o30b2o$102b2o40bo31b2o$102bo39bobo$104bob2o34b2o43b2o144b2o$103b
2ob2o78bo2bo143b2o$124b2o60bobo23b2o57b2o$103b2ob2o16b2o61bo20bo3b2o
57bo20b2o$104bobo100bobo26b2o14b2o3b2o13bo20bo$104bobo99bobo21b2o5bo
15bo3bo13b2o17b3o61b2o$105bo100bo23bobob3o13b3o5b3o29bo63b2o5b2o$205b
2o16b2o7bobo15bo9bo100b2o$223b2o7b2o152b2o6bo$169b2o125b2o84bobo2bo4b
3o$169b2o124bobo61b2o19b3ob2o5bo$295bo63b2o18bo11b2o$294b2o69b2o13b3ob
2o$365b2o15bob2o$131b2o151bo$131b2o149b3o12b2o$281bo16bo91b2o3b2o$271b
2o8b2o12b3o92b2o3b2o$272bo22bo$272bobo27b2o30b2o$273b2o28bo17b2o11b2o$
39bo82bo136bo27b2o11b3o19bo77bo$38bobo79b3o136b3o25b2o11bo18b3o77bobo$
39bo79bo142bo56bo80bo$108bo10b2o140b2o$37b5o65bobo228b2o$37bo4bo64bobo
177b2o50bo28b2o$40bo2bo61b3ob2o20bo155b2o47b3o29bo$12bo27b2obo60bo24b
3o204bo29bobo$12b3o10b2o10bo5bob2obo49bo6b3ob2o17bo104bo132b2o$15bo9b
2o9bobo4bobob2o49b3o6bob2o17b2o103b3o146b2o$4b2o8b2o20bo2bo2b2obo30b2o
23bo134bo145b2o$5bo31b2o6bo31bo6b2o14b2o133b2o11b2o13b2o$5bobo37b3o29b
obo4b2o39b2o121b2o13b2o$6b2o40bo23b2o4b2o44bo2bo87bo73b2o$47b2o23bobo
50b2o88b3o5b2o64bo$70bobob3o141bo4b2o62bobo$66b2o2b2o5bo139b2o68b2o81b
2o$4bob2o58b2o8b2o292b2o$2b3ob2o384b2o$bo216b2o172bo$2b3ob2o80b2o128b
2o3b2o123b2o15b2o26b3o$4bobo30b2o49b2o23b2o108b2o122bobo15b2o28bo$4bob
o30b2o74bo233bo$5bo108b3o229b2o$116bo77b2o7b2o$100b2o24b2o66b2o7bobo$
28b2o66bo3b2o24bo30b2o42bobob3o$28b2o65bobo29b3o2b2o24bo42b2o5bo40b2o
18b2obo112b2o$34b2o58bobo32bo3bo13b2o6b3o49b2o40bobo17bob2o112bo$34bo
19b2o38bo38bobo11b2o6bo95bo134b3o$30bo5bo16bobo37b2o24b2o13b2o115b2o
135bo$29bobo3b2o16bo65b2o164b2obo$30bo21b2o231bob2o$31b3o$33bo79b2o
163b2o$113b2o163b2o$117b2o46b2o$66b2o49b2o46b2o$66b2o$349b2o$350bo$71b
2o39b2o98b2o136bobo$70bobo39b2o99bo54b2o81b2o$70bo91b2o46b3o56bo105b2o
$69b2o91bo47bo58bobo103b2o$143b2o3b2o13bo106b2o$82b2o60bo3bo13b2o$82b
2o57b3o5b3o$141bo9bo40b2o$193bo$27bo162b3o180b2o$26bobo161bo182bo$26bo
2bo262b2o80b3o$27b2o263bo83bo$118b2o22bo147bobo81b2o$119bo20b3o99bo18b
o28b2ob2o79bo$116b3o20bo102b3o7b2o5b3o31bobo76bobo$116bo22b2o104bo6b2o
4bo34bobo76b2o$5b2o237b2o12b2o10b2o20b2ob2o$5b2o264bo24bo$9b2o104bo
155bobo18b2obo$9b2o104b3o139b2o13b2o18b2obobo56bo$23b2o93bo133b2o3b2o
37b2o56b3o$23b2o92b2o23b2o108b2o103bo$139b2o2bo212b2o28b2o$139bob2o71b
2o56b2o112bo$141bo71bobo55bobo110bobo$141bo71bo49bo7bo108b2o2b2o$116b
2o18b2obob2o69b2o47b3o5b3o108b2o$35b2o78bobo18b2ob2o2bo116bo7bo$35b2o
78bo26bo117b2o6b2o$13b2o99b2o20b2ob3o$14bo122bobo239b2o4b2o$11b3o123bo
241b2o4b2o$11bo90b2o30b2ob2o$102bo31bobo$100bobo5b2o26bo$99bobo6b2o26b
2o140b2o$95b2o3bo177b2o72b2o35bo$95b2o254bobo33b3o$20b2o69b2o194b2o62b
o34bo$21bo70bo194bo62b2o34b2o$18b3o71bobo193b3o63b2o$18bo74b2o195bo63b
2o3bo$233bo47b2o75bobo6b2o$233b3o46bo76bobo5b2o$236bo44bo79bo$235bobo
43b2o78b2o$120b2o4b2o108bo30bo$120b2o4b2o139b3o$270bo$237b2o30b2o8b2o
74bo$237b2o40bo61bo13b3o35b2o$121b2o154bobo59b3o16bo34b2o$121b2o2b2o
150b2o59bo18b2o$125bobo93bo41b2o73b2o$127bo92bobo40b2o26b2o$97b2o28b2o
91bobo68bo23bo72b2o$98bo119b3ob2o65bobo23b3o70b2o$95b3o119bo71b2o27bo
73b2o$95bo118bo2b4ob2o39b2o52b2o73b2o$214b3o3bob2o39b2o$217bo130b2o$
175bo40b2o26b2o102b2o36b2o$113b2o60b3o66bo126b2o13b2o$113bobo46b2o3b2o
9bo14b2o47bobo126bobo$77bo37bo2bo2bo40b2o3b2o8b2o15bo47b2o43b2o84bo$
77b3o35b7o71bo93b2o72b2o10b2o$80bo112b2o113b2o51bo$38b2o39b2o36b5o33b
2o151b2o41b2o9b3o$38b2o77bo4bo2b2o29bo174b2o19bo11bo$120bo2bo2bo29bobo
87b2obo81bobo17bo$120b2obobo31b2o87bob2o83bo17b2o$117bo5bob2o194b2o10b
2o$105b2o9bobo4bo72b2o41b2o80bo$105b2o9bo2bo2b2o72b2o41b2o70b2o9b3o$
117b2o193bo11bo$96b2obo211bo$96bob2o211b2o$160b2o$61b2o98bo60b2o3b2o$
61b2o8b2o85b3o28b2o32bo3bo$72bo85bo31bo15b2o12b3o5b3o29b2o$69b3o117bo
17bo12bo9bo28bobo$47b2o20bo119b2o13b3o23bobo26bo$48bo155bo26b2o25b2o
14b2o$10b2o33b3o70b2o153bo2bo$10b2o33bo29b2o41b2o154b2o$6bo50b2o15bobo
$6b3o48bo16bo98b2o$9bo48b3o12b2o98b2o54b2o$8b2o11bo38bo103b2o64bo$20bo
bo7b2o131bobo51b2o11bobo$20bobo7b2o44b2o85bo54bo12b2o$21bo55bo84b2o54b
obo$74b3o142b2o2b2o$74bo148b2o$81b2o34b2o$82bo34bobo$18b2o59b3o37bo$
18b2o59bo39b2o97b2o4b2o$4b2o212b2o4b2o$4b2o$2o$2o162bo$107bob2o3b2o48b
3o$105b3ob2o3bo52bo$104bo10b3o48b2o$105b3ob2o6bo101b2o$107b2o2bo106bob
o$110b2o106bo$217b2o2$164b2o$164b2o$188b2o$188bobo$190bo$24b2o164b2o$
23bobo$24bo4$132bo4b2o$131bobo2bobo7b2o$130bo2b4o9bo$26b2obo100bobo4bo
6bobo$26bob2o99b2ob2o2b2o6b2o$127bo$19b2o103bo2b4ob2o$19b2o103b3o3bob
2o$127bo40b2o$126b2o39bobo$52b2o103bo9bo$52b2o49b2o52b3o5b3o54b2o$104b
o55bo3bo57b2o$91bo11bo55b2o3b2o$9b2o39b2o39b3o9b2o$10bo39b2o42bo$10bob
o24b2o42b2o10b2o$11b2o25bo43bo150b2o$38bobo41bobo91b2o55bo$39b2o42b2o
91b2o53bobo$35b2o69b2o123b2o$35b2o69b2o75bob2o$29b2o152b2obo$29bo188b
2o$27bobo187bobo$27b2o109b2o77bo$132b2o4bobo75b2o$133bo6bo38b2o$48b2o
66b2o12b3o7b2o37bobo$48b2o47b2o18bo12bo50bo$97bo16b3o36b2o26b2o$59b2o
37b3o13bo39bo$58bo2bo38bo50b3o3bob2o59b2o$58bobo23b2o65bo2b4ob2o58bobo
$59bo20bo3b2o68bo64bo$79bobo73b3ob2o57b2o$7b2o69bobo76b2o2bo$7b2o17b2o
50bo81b2o84bo$26b2o49b2o165b3o$243bo$41b2o200b2o$41b2o2$219bo$219b3o$
222bo$221b2o23b2o$243b2o2bo$243bob2o$245bo$245bo$220b2o18b2obob2o$219b
obo18b2ob2o2bo$219bo26bo$218b2o20b2ob3o$241bobo$51bo189bo$12b2o35b3o
186b2ob2o$12b2o34bo189bobo$48b2o190bo$81bo158b2o$81b3o$17b2o65bo$17b2o
64b2o$13b2o$13b2o2$57b2o159b2o$19b2o36b2o158bobo$19b2o13b2o181bo$33bob
o180b2o$33bo181bo$32b2o10b2o74bo94b3o$45bo72b3o97bo$42b3o9b2o61bo99b2o
$42bo11bo20b2o40b2o17bo39bo$55bo20bo59b3o37b3o$54b2o17b3o63bo39bo$73bo
64b2o38b2o12bo$192b3o$159bo35bo19b2o$79b2o78b3o32b2o19b2o$78bobo81bo
76b2o$78bo82b2o11b2o63bobo$77b2o95b2o65bo$241b2o2$80b2o$81bo$78b3o$78b
o$85b2o30b2o$86bo17b2o11b2o$83b3o19bo80b2o$83bo18b3o82bo$102bo81b3o$
184bo2$153b2o$147b2o5bo20b2o13b2o$147bobob3o21bobo11bobo$140b2o7bobo
25bo11bo$140b2o7b2o26b2o9b2o3$191b2o$192bo$189b3o19b2o21b2o$189bo20bob
o21b2o$196b2o12bo17b2o$197bo11b2o17b2o$194b3o$194bo$230b2o$223b2o5b2o$
223b2o5$89b2o$89b2o8$63bo$62bobo$62bobo$61b2ob2o16b2o$82b2o$61b2ob2o$
62bob2o34b2o$60bo39bobo$60b2o40bo$102b2o2$68b2o$62b2o4b2o$61bobo27b2o$
61bo29bobo$60b2o31bo$68b2o23b2o$68b2o$86b2o$82bo3b2o$74bo6bobo$73bobo
4bobo$74bo5bo$79b2o!""")
head2c3=pattern("8b2o$3bo2bo2bo$3b6o2$3b6o$2bo6bo$2bo2b5o$obobo$2o2bo$4bo$3b2o!")
body2c3=pattern("6bo$b6o$o$o2b6o$obo6bo$obo2b5o$b2obo$4bo$4bo$3b2o!")
tail2c3=pattern("5b2o$5b2o2$b6o$o5bo$o2b3o$obo$o2bo$b2o!")
wire2c3=head2c3(625,388) + tail2c3(2143,1905)
for i in range(631,2142,6): # 251 body segments
wire2c3+=body2c3(i,i-236) # first one at (631, 395)
receiver2c3=pattern("""
208bo$207bobo$208bo3$213b2o$188b2o23b2o$189bo31b2o$189bobo29bo$190b2o
27bobo$213b2o4b2o$213b2o2$179b2o$180bo40b2o$180bobo39bo$181b2o34b2obo$
217b2ob2o$199b2o$199b2o16b2ob2o$218bobo$218bobo$219bo8$192b2o$192b2o8$
55b2o$48b2o5b2o$48b2o$85bo$83b3o$50b2o17b2o11bo$50b2o17bo12b2o$44b2o
21bobo20bo$44b2o21b2o19b3o$87bo$87b2o3$90b2o9b2o26b2o7b2o$90bo11bo25bo
bo7b2o$88bobo11bobo21b3obobo$88b2o13b2o20bo5b2o39bo$125b2o45b3o$175bo
14bo$95bo78b2o12b3o$41bo51b3o91bo$41b3o48bo94b2o$44bo47b2o$43b2o$186b
2o$167b2o17b2o$167b2o3$61b2o$61bo$59bobo42b2o$59b2o43b2o11b2o51b2o$
117bo53bo$84b2o32b3o48bo$42b2o40bo35bo48b2o$42b2o15b2o24b3o85b2o$59bob
o25bo12b2o38b2o32bo$61bo38bo39bo30b3o$61b2o38b3o37b3o27bo$103bo39bo3$
42b2o$42bo$40bobo$40b2o4$57b2obo$57bob2o2$50b2o$50b2o122b2o$173bobo$
173bo29b2o$172b2o29bobo$205bo$178b2o25b2o$177bobo4b2o$40b2o135bo7bo$
41bo134b2o4b3o$41bobo138bo$42b2o146b2o$189bobo$189bo$188b2o$61bo$59b3o
$58bo$58b2o$206b2o$182bo23bobo$63b2o117b3o23bo$63b2o120bo22b2o$184b2o
14b2o$200b2o$73b2o$73bo$71bobo$71b2o$34b2o$33bobo$33bo$32b2o2$44b2o$
44b2o$160b2o7b2o30b2o$92b2o66b2o7bobo29bobo$92b2o45bo27bobob3o29bo$
139b3o25b2o5bo28b2o$142bo30b2o$90b2o49b2o$49b2o39b2o$48bobo26b2o43bo$
48bo29bo43b3o$47b2o29bobo44bo$79b2o43b2o11b2o$75b2o60b2o$75b2o4$177b2o
21b2o$66b2o108bobo21b2o$66bo109bo17b2o$64bobo21b2o85b2o17b2o$48b2o14b
2o22b2o$48b2o93b2o$52bo46b2o39b2o2bo2b2o47b2o$48b2o2b3o43bo2bo38b2obo
3bo41b2o5b2o$48b2o5bo42bobo23b2o17bobobo10b2o29b2o$54b2o43bo20bo3b2o
14b2obob2o12bo$119bobo12b2o4bo2bo12b3o$118bobo13b2o6b2o12bo$67b2o49bo$
66bobo48b2o$67bo$81b2o$81b2o4$47b2o$47b2o5$49bo$19b2o28b3o$12b2o5b2o
31bo92bo$12b2o37b2o90b3o11bo$47b2o93bo14b3o$47bo94b2o16bo14bo$14b2o33b
o109b2o12b3o$14b2o32b2o69bo52bo$8b2o109b3o50b2o$8b2o112bo$121b2o$171b
2o$152b2o17b2o$45b2o105b2o$45b2o17b2o$64b2o3$65b2o$65bo89b2o$52b2o12b
3o41bo23b2o20bo$35b2o16bo14bo40bobo22bo19bo$35bo14b3o57bo14b2o8b3o16b
2o$28bo7b3o11bo74bo11bo20b2o$26b3o9bo87b3o30bo$25bo102bo27b3o$25b2o
129bo$17b2o93b2o$17b2o92bobo$111bo$110b2o62b2o$126b2obo44bobo$126bob2o
46bo$176b2o$34b2o83b2o$34bo84b2o$32bobo$32b2o3$166b2o$166b2o2$157b2obo
$157bob2o2$36b2o$36bobo$38bo91b2o44b2o$38b2o90bo44bobo$28b2o98bobo44bo
$28b2o98b2o44b2o$9bob2o$9b2obo2$18b2o135b2o$18b2o136bo$156bobo$157b2o
15b2o$114b2o58b2o$114bo2b2o$115b2obo$116bo40b2o$28b2o86bobo4b2o31bobo$
28bo88b2o5bo31bo$26bobo94bo31b2o$26b2o68b2o25b2o$70bo25bo$58bo11b3o21b
obo$56b3o14bo20b2o$40bo14bo16b2o$40b3o12b2o70b2o44b2o$43bo58b2o24bo44b
o$4b2o36b2o59bo13b2o6b3o46b3o$5bo97bobo11b2o6bo50bo$5bobo96b2o$3b2ob2o
35b2o$2bobo38b2o17b2o$2bobo57b2o$b2ob2o20b2o$bo24bo$2bob2o18bobo108b2o
$obob2o18b2o109b2o$2o$59b2o32b2o$59bo20b2o11b2o$24b2o35bo19bo67b2o21b
2o$24bobo33b2o16b3o67bobo21b2o$26bo29b2o20bo53b2o14bo17b2o$26b3o27bo
75bo14b2o17b2o$29bo27b3o37b2o14b2o3b2o13bo$28b2o29bo38bo15bo3bo13b2o$
95b3o13b3o5b3o46b2o$95bo15bo9bo39b2o5b2o$161b2o4$18b2o$18b2o2$9b2o$10b
o$7b3o45b2o$7bo47b2o$15b2o32b2o$15bo33b2o$16bo$15b2o$51b2o$44b2o5b2o$
44b2o!""")
inserter2c3=pattern("""
51bo$49b3o$23b2o23bo$24bo23b2o$24bobo$25b2o2b2o37bo$29b2o35b3o15bo9bo$
65bo18b3o5b3o$52b2o11b2o20bo3bo$52b2o32b2o3b2o8$23b2o52b2o$22bobo16b2o
34b2o$22bo18bobo45b2o$21b2o20bo44bo2bo$37b2o4b2o44b2o4b2o$37bo2bo54bob
o$39b2o56bo$30b2o65b2o$30b2o20b2o33b2o$53bo34bo$50b3o32b3o$50bo34bo2$
19bo$19b3o$22bo$21b2o2$85b2o$85bo$86b3o$88bo2$40b2o$40bo$38bobo$38b2o
12$20b2o15b2o$19bobo15b2o$19bo$18b2o6$25bo$25b3o$28bo$27b2o28b2o$57bo$
55bobo$51b2o2b2o$51b2o4$50b2o4b2o$50b2o4b2o5$23b2o35bo$22bobo33b3o$22b
o34bo$21b2o34b2o$25b2o$25b2o3bo$29bobo6b2o$30bobo5b2o$32bo$32b2o$24b2o
$25bo$25bobo$26b2o2b2o$30b2o32b2o$64b2o4$59b2o$59b2o$63b2o$63b2o3$24b
2o31b2o$23bobo16b2o13b2o$23bo18bobo$22b2o20bo$38b2o4b2o$38bo2bo$40b2o$
31b2o$31b2o7$21b2o$22bo$22bobo$23b2o$39bo$37b3o$36bo$36b2o3$10b2o$10b
2o7$43b2o$43b2o4$38b2o$38b2o$2o40b2o$2o40b2o3$36b2o$21b2o13b2o$21bobo$
23bo$23b2o!""")
all=highway_robber(86,0) + connecting_neck(195,262) + transmitter2c3(347,219) \
+ wire2c3 + receiver2c3(2103,1763) + inserter2c3(2024,2042)
while g.numlayers()>1: g.dellayer()
all.display("Stable Pseudo-Heisenburp Device")
g.setmag(0)
setposint(120,200)
g.setname("Highway Robber")
g.clone()
g.setname("2c/3 Transmitter")
setposint(500,400)
g.clone()
g.setname("2c/3 Receiver")
setposint(2175,2000)
g.clone()
g.setname("Stable Pseudo-Heisenburp Device")
g.clone()
g.setname("Glider Fleet")
setposint(330,290)
# since the tiles change size depending on how many layers have been created,
# have to create all five layers before checking visibility of components --
# now go back and check that the critical areas are all visible:
g.setlayer(0)
while not g.visrect([100,100,150,175]): g.setmag(g.getmag()-1)
g.setlayer(1)
while not g.visrect([350,225,400,350]): g.setmag(g.getmag()-1)
g.setlayer(2)
while not g.visrect([2100,1750,225,300]): g.setmag(g.getmag()-1)
g.setlayer(3)
g.fit()
g.setlayer(4)
while not g.visrect([0,200,300,400]): g.setmag(g.getmag()-1)
g.update()
# -----------------------------------------------------
def show_status_text(s, d, t):
if d==-1:
if t==1:
g.show(s + "Speed is " + str(t) + " tick per step.")
else:
g.show(s + "Speed is " + str(t) + " ticks per step.")
else:
g.show(s + "Delay between ticks is " + str(d) + " seconds.")
# -----------------------------------------------------
# if there are multiple layers, get permission to remove them
if g.numlayers() > 1:
answer = g.getstring("All existing layers will be removed. OK?")
if lower(answer[:1]) == "n":
g.exit()
oldswitch = g.setoption("switchlayers", True) # allow user to switch layers
oldtile = g.setoption("tilelayers", True)
rule()
try:
burp()
finally:
# remove the cloned layers added by the script
while g.numlayers() > 1: g.dellayer()
g.setname("Stable Pseudo-Heisenburp Device")
g.setoption("tilelayers", oldtile)
g.setoption("switchlayers", oldswitch)
g.show("")
def prepare_burp():
highway_robber=pattern("""
143bo$143b3o$146bo$145b2o2$126bo42bo$126b3o38b3o$129bo36bo$128b2o11b2o
23b2o7b2o$141b2o32bo$108bo64bobo$108b3o6b2o54b2o$111bo5b2o$110b2o3$
111b2o$111b2o3b2o$116b2o35b2o23bo$154bo22bobo$151b3o8b2o14bo$151bo11bo
$98bo7bo53b3o$86bo11b3o5b3o51bo$84b3o14bo7bo32b2o$68bo14bo16b2o6b2o32b
obo30b2o$68b3o12b2o59bo30bobo$71bo72b2o31bo$70b2o105b2o$159bob2o$159b
2obo$71b2o$71b2o17b2o76b2o$90b2o76b2o5$104b2o$87b2o14bobo$87bo15bo74b
2o$88b3o11b2o74bo$90bo85bobo$84b2o90b2o$84bo$85b3o$87bo2$158b2o$159bo$
68b2o89bobo$67bobo90b2o$67bo25b2o$66b2o25bo$74b2o15bobo$74b2o15b2o98b
2o6bo$187bobo2bo4b3o$185b3ob2o5bo$184bo11b2o$185b3ob2o$177b2o8bob2o$
177b2o2$161b2o32b2o3b2o$161b2o32b2o3b2o$153b2o$88b2o2b2ob2o57bo18b2ob
2o$73b2o13bobo2bobo58bobo16b2obo$72bobo16b2o3bo58b2o21bo26bo$72bo19bob
2o76bob5o25bobo$71b2o16bo2bobo77b2o31bo$88bobobobo80b2o$89b2ob2o82bo$
173b3o$173bo33bo$171bobo31b3o$171b2o31bo$187b2o14bobo$187b2o15bo$83b2o
$83b2o$202b2o$202b2o2$175b2o$175b2o$72b2o123b2o$73bo19b2o102bo$73bobo
17bo76b2o26b3o$74b2o15bobo60b2o14b2o28bo$86bo4b2o62bo$85bobo64b3o$54bo
30bobo64bo$54b3o17b2o10bo$57bo15bobo$56b2o15bo116b2o$72b2o116bo$36b2o
49b2o102b3o$29b2o5b2o49bo105bo$29b2o57b3o6bo$90bo4b3o$94bo$31b2o17b2o
29b2o11b2o14b2o$31b2o17bo30b2o27b2o$25b2o21bobo$25b2o21b2o$116b2o$116b
2o36b2o$112b2o41bo$112b2o41bobo$156b2o$56b2o122b2o$56b2o11b2o109b2o$
69bo47b2o$70b3o44b2o$72bo2$22bo$22b3o55b2o96b2o$25bo53bobo96bo$24b2o
47b2o4bo99b3o$73b2o3b2o101bo$179b2o$76b4o99bo$75bo3bo97bobo$75b2o100b
2o$53b2o33bo22b2o$19b2o32b2o33b3o20bo$20bo70bo20b3o$20bobo67b2o22bo44b
o$21b2o136b3o$162bo$115bo45b2o$35b2o28b2o46b3o$35bobo27b2o45bo$37bo41b
2o6b2o23b2o$37b2o40b2o6bo2b2o$83b2o3b2obo$83b2o4bo89b2o$17bob2o68bo89b
o$17b2obo67b2obob2o18b2o62bobo$87bo2b2ob2o18bobo61b2o$26b2o60bo26bo$
26b2o33b2o26b3ob2o20b2o$60bo2bo27bobo66b2o$61bobo29bo66b2o15b2o$62bo
29b2ob2o80bobo$94bobo82bo$94bo84b2o$93b2o3$160b2o$160bo$158bobo$158b2o
2$16bo$16b3o$19bo33bo121b2obo$18b2o33b3o53b2o64bob2o$56bo52b2o$11bo43b
obo110b2o$11b3o42bo111b2o$14bo123bo$13b2o121b3o$57b2o19bo56bo$57b2o17b
3o19b2o20bo14b2o$75bo23bo19bobo$75b2o22bobo17bobo$100b2o15bobobobo34b
2o$10b2o19b2o79bo4b2o3b2o10bo24bo$10b2o19b2o47b2o29bobo19bobo23bobo$
80b2o29bobo19bobo24b2o$4bo95b2o10bo21bo4b2o$4b3o25b2o65bobo20b2o15bobo
$2o5bo24bo57b2o7bo21bobo17bo$bo4b2o25b3o54bo7b2o21bo19b2o36bo$bobo31bo
52bobo22b2o5b2o55b3o$2b2o29b2o53b2o23bo62bo$33bo17b2o61b3o28b2o29b2o$
31bobo4bo11bobo63bo28bo$31b2o3b3o11bo92bobo$35bo13b2o92b2o$35b2o94b2o$
61b2o68b2o$61b2o$b2o178b2o$b2o178bo$36b2o141bobo$36b2o141b2o3$27b2o37b
2o97b2o$27b2o36bobo51b2o43bobo$65bo54bo43bo$64b2o54bobo40b2o$121b2o2$
181b2obo$181bob2o2$40bo133b2o$38b3o133b2o$37bo$37b2o$138b2o$138b2o$42b
2o$42b2o78b2o$122b2o$114b2o$52b2o61bo18b2ob2o$52bo62bobo16b2obo$50bobo
63b2o21bo$50b2o81bob5o$13b2o118b2o$12bobo121b2o$12bo124bo$11b2o99bobo
19b3o$112b2obo18bo$23b2o90b3o$23b2o87b2o4bo$112bob5o$114bo$113bo3b2o$
108bo3bo3bobo$106b3o3b2o3bo$105bo$28b2o75b2o29b2o39b2o$27bobo106b2o38b
o2bo$27bo149b2o$26b2o2$131b2o$131b2o$135b2o$14b2o119b2o$14b2o35bo$49b
3o$48bo80b2o$48b2o63b2o14b2o$79bo33bo$68b2o7b3o34b3o$69bo6bo39bo$69bob
o4b2o$70b2o$109b2o$109bobo$111bo$111b2o7$103b2o$103bo$104b3o$106bo$13b
o19b2o$12bobo10b2o6bo5b2o41b2o$11bo2bo10bo8b3obobo41bo$12b2o9bobo10bob
o7b2o28b2obo3b3o$23b2o12b2o7b2o28b2ob4o2bo$82bo$64b2o6b2o2b2ob2o$63bob
o6bo4bobo$63bo9b4o2bo$62b2o7bobo2bobo$71b2o4bo!""")
connecting_neck=pattern("""
24bo$22b3o$21bo$21b2o$6b2o$7bo$7bobo$8b2o10bo$19bobo$19bobo$20bo4b2o$
8b2o15bobo$7bobo17bo$7bo19b2o$6b2o6$17b2o$17b2o7$23b2ob2o$22bobobobo$
5b2o16bo2bobo$6bo19bob2o$6bobo16b2o3bo$7b2o13bobo2bobo$22b2o2b2ob2o11$
8b2o15b2o$8b2o15bobo$2o25bo$bo25b2o$bobo$2b2o4$21bo107bo$19b3o106bobo$
18bo109bobo$18b2o106b3ob2o$24bo100bo$22b3o12bo84bo2b4ob2o$21bo15b3o82b
3o3bob2o$21b2o17bo84bo$39b2o83b2o26b2o$152bo$150bobo$150b2o2$24b2o$5b
2o17b2o76bo$5b2o95b3o6b2o$105bo5b2o41b2obo$104b2o48bob2o$4b2o$5bo141b
2o$2b3o12b2o86b2o40b2o$2bo14bo16b2o6b2o61b2o3b2o$18b3o14bo7bo66b2o$20b
o11b3o5b3o$32bo7bo$78bo51b2o3b2o$76b3o13bo38bo3bo$75bo16b3o33b3o5b3o$
50b2o23b2o18bo32bo9bo$45b2o3b2o42b2o42bobo$45b2o92b2o3$44b2o76b2o$45bo
5b2o69b2o$42b3o6b2o104b2o$42bo41b2o71bo$84b2o69bobo$61b2o92b2o$60bobo
62bo$60bo62b3o$59b2o10b2o49bo$72bo48bobo$69b3o9b2o39bo43b2o$69bo11bo
19b2o56b2o6bo$82bo17bobo56bo6bo$81b2o17bo19b2o35bobo6b2o$99b2o19b2o35b
2o$116b2o$116bo$117b3o24b2o$119bo23bobo$143bo25b2o$142b2o25b2o4$146b2o
$145bobo$145bo4b2o$144b2o5bo$148b3o5bo$148bo6bobo$156bo!""")
transmitter2c3=pattern("""
180b2o$180b2o$219bo$219b3o$178b2o42bo$116bo61b2o41b2o$115bobo47b2o99b
2o14bo$116bo49bo74b2o24bo14b3o$166bobo73bo13b2o6b3o18bo$167b2o73bobo
11b2o6bo19b2o12bo$110b2o51b2o78b2o53b3o$110b2o23b2o26b2o136bo$102b2o
31bo164b2o$103bo29bobo$103bobo27b2o$104b2o4b2o$110b2o162b2o$274b2o$
144b2o30b2o$102b2o40bo31b2o$102bo39bobo$104bob2o34b2o43b2o144b2o$103b
2ob2o78bo2bo143b2o$124b2o60bobo23b2o57b2o$103b2ob2o16b2o61bo20bo3b2o
57bo20b2o$104bobo100bobo26b2o14b2o3b2o13bo20bo$104bobo99bobo21b2o5bo
15bo3bo13b2o17b3o61b2o$105bo100bo23bobob3o13b3o5b3o29bo63b2o5b2o$205b
2o16b2o7bobo15bo9bo100b2o$223b2o7b2o152b2o6bo$169b2o125b2o84bobo2bo4b
3o$169b2o124bobo61b2o19b3ob2o5bo$295bo63b2o18bo11b2o$294b2o69b2o13b3ob
2o$365b2o15bob2o$131b2o151bo$131b2o149b3o12b2o$281bo16bo91b2o3b2o$271b
2o8b2o12b3o92b2o3b2o$272bo22bo$272bobo27b2o30b2o$273b2o28bo17b2o11b2o$
39bo82bo136bo27b2o11b3o19bo77bo$38bobo79b3o136b3o25b2o11bo18b3o77bobo$
39bo79bo142bo56bo80bo$108bo10b2o140b2o$37b5o65bobo228b2o$37bo4bo64bobo
177b2o50bo28b2o$40bo2bo61b3ob2o20bo155b2o47b3o29bo$12bo27b2obo60bo24b
3o204bo29bobo$12b3o10b2o10bo5bob2obo49bo6b3ob2o17bo104bo132b2o$15bo9b
2o9bobo4bobob2o49b3o6bob2o17b2o103b3o146b2o$4b2o8b2o20bo2bo2b2obo30b2o
23bo134bo145b2o$5bo31b2o6bo31bo6b2o14b2o133b2o11b2o13b2o$5bobo37b3o29b
obo4b2o39b2o121b2o13b2o$6b2o40bo23b2o4b2o44bo2bo87bo73b2o$47b2o23bobo
50b2o88b3o5b2o64bo$70bobob3o141bo4b2o62bobo$66b2o2b2o5bo139b2o68b2o81b
2o$4bob2o58b2o8b2o292b2o$2b3ob2o384b2o$bo216b2o172bo$2b3ob2o80b2o128b
2o3b2o123b2o15b2o26b3o$4bobo30b2o49b2o23b2o108b2o122bobo15b2o28bo$4bob
o30b2o74bo233bo$5bo108b3o229b2o$116bo77b2o7b2o$100b2o24b2o66b2o7bobo$
28b2o66bo3b2o24bo30b2o42bobob3o$28b2o65bobo29b3o2b2o24bo42b2o5bo40b2o
18b2obo112b2o$34b2o58bobo32bo3bo13b2o6b3o49b2o40bobo17bob2o112bo$34bo
19b2o38bo38bobo11b2o6bo95bo134b3o$30bo5bo16bobo37b2o24b2o13b2o115b2o
135bo$29bobo3b2o16bo65b2o164b2obo$30bo21b2o231bob2o$31b3o$33bo79b2o
163b2o$113b2o163b2o$117b2o46b2o$66b2o49b2o46b2o$66b2o$349b2o$350bo$71b
2o39b2o98b2o136bobo$70bobo39b2o99bo54b2o81b2o$70bo91b2o46b3o56bo105b2o
$69b2o91bo47bo58bobo103b2o$143b2o3b2o13bo106b2o$82b2o60bo3bo13b2o$82b
2o57b3o5b3o$141bo9bo40b2o$193bo$27bo162b3o180b2o$26bobo161bo182bo$26bo
2bo262b2o80b3o$27b2o263bo83bo$118b2o22bo147bobo81b2o$119bo20b3o99bo18b
o28b2ob2o79bo$116b3o20bo102b3o7b2o5b3o31bobo76bobo$116bo22b2o104bo6b2o
4bo34bobo76b2o$5b2o237b2o12b2o10b2o20b2ob2o$5b2o264bo24bo$9b2o104bo
155bobo18b2obo$9b2o104b3o139b2o13b2o18b2obobo56bo$23b2o93bo133b2o3b2o
37b2o56b3o$23b2o92b2o23b2o108b2o103bo$139b2o2bo212b2o28b2o$139bob2o71b
2o56b2o112bo$141bo71bobo55bobo110bobo$141bo71bo49bo7bo108b2o2b2o$116b
2o18b2obob2o69b2o47b3o5b3o108b2o$35b2o78bobo18b2ob2o2bo116bo7bo$35b2o
78bo26bo117b2o6b2o$13b2o99b2o20b2ob3o$14bo122bobo239b2o4b2o$11b3o123bo
241b2o4b2o$11bo90b2o30b2ob2o$102bo31bobo$100bobo5b2o26bo$99bobo6b2o26b
2o140b2o$95b2o3bo177b2o72b2o35bo$95b2o254bobo33b3o$20b2o69b2o194b2o62b
o34bo$21bo70bo194bo62b2o34b2o$18b3o71bobo193b3o63b2o$18bo74b2o195bo63b
2o3bo$233bo47b2o75bobo6b2o$233b3o46bo76bobo5b2o$236bo44bo79bo$235bobo
43b2o78b2o$120b2o4b2o108bo30bo$120b2o4b2o139b3o$270bo$237b2o30b2o8b2o
74bo$237b2o40bo61bo13b3o35b2o$121b2o154bobo59b3o16bo34b2o$121b2o2b2o
150b2o59bo18b2o$125bobo93bo41b2o73b2o$127bo92bobo40b2o26b2o$97b2o28b2o
91bobo68bo23bo72b2o$98bo119b3ob2o65bobo23b3o70b2o$95b3o119bo71b2o27bo
73b2o$95bo118bo2b4ob2o39b2o52b2o73b2o$214b3o3bob2o39b2o$217bo130b2o$
175bo40b2o26b2o102b2o36b2o$113b2o60b3o66bo126b2o13b2o$113bobo46b2o3b2o
9bo14b2o47bobo126bobo$77bo37bo2bo2bo40b2o3b2o8b2o15bo47b2o43b2o84bo$
77b3o35b7o71bo93b2o72b2o10b2o$80bo112b2o113b2o51bo$38b2o39b2o36b5o33b
2o151b2o41b2o9b3o$38b2o77bo4bo2b2o29bo174b2o19bo11bo$120bo2bo2bo29bobo
87b2obo81bobo17bo$120b2obobo31b2o87bob2o83bo17b2o$117bo5bob2o194b2o10b
2o$105b2o9bobo4bo72b2o41b2o80bo$105b2o9bo2bo2b2o72b2o41b2o70b2o9b3o$
117b2o193bo11bo$96b2obo211bo$96bob2o211b2o$160b2o$61b2o98bo60b2o3b2o$
61b2o8b2o85b3o28b2o32bo3bo$72bo85bo31bo15b2o12b3o5b3o29b2o$69b3o117bo
17bo12bo9bo28bobo$47b2o20bo119b2o13b3o23bobo26bo$48bo155bo26b2o25b2o
14b2o$10b2o33b3o70b2o153bo2bo$10b2o33bo29b2o41b2o154b2o$6bo50b2o15bobo
$6b3o48bo16bo98b2o$9bo48b3o12b2o98b2o54b2o$8b2o11bo38bo103b2o64bo$20bo
bo7b2o131bobo51b2o11bobo$20bobo7b2o44b2o85bo54bo12b2o$21bo55bo84b2o54b
obo$74b3o142b2o2b2o$74bo148b2o$81b2o34b2o$82bo34bobo$18b2o59b3o37bo$
18b2o59bo39b2o97b2o4b2o$4b2o212b2o4b2o$4b2o$2o$2o162bo$107bob2o3b2o48b
3o$105b3ob2o3bo52bo$104bo10b3o48b2o$105b3ob2o6bo101b2o$107b2o2bo106bob
o$110b2o106bo$217b2o2$164b2o$164b2o$188b2o$188bobo$190bo$24b2o164b2o$
23bobo$24bo4$132bo4b2o$131bobo2bobo7b2o$130bo2b4o9bo$26b2obo100bobo4bo
6bobo$26bob2o99b2ob2o2b2o6b2o$127bo$19b2o103bo2b4ob2o$19b2o103b3o3bob
2o$127bo40b2o$126b2o39bobo$52b2o103bo9bo$52b2o49b2o52b3o5b3o54b2o$104b
o55bo3bo57b2o$91bo11bo55b2o3b2o$9b2o39b2o39b3o9b2o$10bo39b2o42bo$10bob
o24b2o42b2o10b2o$11b2o25bo43bo150b2o$38bobo41bobo91b2o55bo$39b2o42b2o
91b2o53bobo$35b2o69b2o123b2o$35b2o69b2o75bob2o$29b2o152b2obo$29bo188b
2o$27bobo187bobo$27b2o109b2o77bo$132b2o4bobo75b2o$133bo6bo38b2o$48b2o
66b2o12b3o7b2o37bobo$48b2o47b2o18bo12bo50bo$97bo16b3o36b2o26b2o$59b2o
37b3o13bo39bo$58bo2bo38bo50b3o3bob2o59b2o$58bobo23b2o65bo2b4ob2o58bobo
$59bo20bo3b2o68bo64bo$79bobo73b3ob2o57b2o$7b2o69bobo76b2o2bo$7b2o17b2o
50bo81b2o84bo$26b2o49b2o165b3o$243bo$41b2o200b2o$41b2o2$219bo$219b3o$
222bo$221b2o23b2o$243b2o2bo$243bob2o$245bo$245bo$220b2o18b2obob2o$219b
obo18b2ob2o2bo$219bo26bo$218b2o20b2ob3o$241bobo$51bo189bo$12b2o35b3o
186b2ob2o$12b2o34bo189bobo$48b2o190bo$81bo158b2o$81b3o$17b2o65bo$17b2o
64b2o$13b2o$13b2o2$57b2o159b2o$19b2o36b2o158bobo$19b2o13b2o181bo$33bob
o180b2o$33bo181bo$32b2o10b2o74bo94b3o$45bo72b3o97bo$42b3o9b2o61bo99b2o
$42bo11bo20b2o40b2o17bo39bo$55bo20bo59b3o37b3o$54b2o17b3o63bo39bo$73bo
64b2o38b2o12bo$192b3o$159bo35bo19b2o$79b2o78b3o32b2o19b2o$78bobo81bo
76b2o$78bo82b2o11b2o63bobo$77b2o95b2o65bo$241b2o2$80b2o$81bo$78b3o$78b
o$85b2o30b2o$86bo17b2o11b2o$83b3o19bo80b2o$83bo18b3o82bo$102bo81b3o$
184bo2$153b2o$147b2o5bo20b2o13b2o$147bobob3o21bobo11bobo$140b2o7bobo
25bo11bo$140b2o7b2o26b2o9b2o3$191b2o$192bo$189b3o19b2o21b2o$189bo20bob
o21b2o$196b2o12bo17b2o$197bo11b2o17b2o$194b3o$194bo$230b2o$223b2o5b2o$
223b2o5$89b2o$89b2o8$63bo$62bobo$62bobo$61b2ob2o16b2o$82b2o$61b2ob2o$
62bob2o34b2o$60bo39bobo$60b2o40bo$102b2o2$68b2o$62b2o4b2o$61bobo27b2o$
61bo29bobo$60b2o31bo$68b2o23b2o$68b2o$86b2o$82bo3b2o$74bo6bobo$73bobo
4bobo$74bo5bo$79b2o!""")
head2c3=pattern("8b2o$3bo2bo2bo$3b6o2$3b6o$2bo6bo$2bo2b5o$obobo$2o2bo$4bo$3b2o!")
body2c3=pattern("6bo$b6o$o$o2b6o$obo6bo$obo2b5o$b2obo$4bo$4bo$3b2o!")
tail2c3=pattern("5b2o$5b2o2$b6o$o5bo$o2b3o$obo$o2bo$b2o!")
wire2c3=head2c3(625,388) + tail2c3(2143,1905)
for i in range(631,2142,6): # 251 body segments
wire2c3+=body2c3(i,i-236) # first one at (631, 395)
receiver2c3=pattern("""
208bo$207bobo$208bo3$213b2o$188b2o23b2o$189bo31b2o$189bobo29bo$190b2o
27bobo$213b2o4b2o$213b2o2$179b2o$180bo40b2o$180bobo39bo$181b2o34b2obo$
217b2ob2o$199b2o$199b2o16b2ob2o$218bobo$218bobo$219bo8$192b2o$192b2o8$
55b2o$48b2o5b2o$48b2o$85bo$83b3o$50b2o17b2o11bo$50b2o17bo12b2o$44b2o
21bobo20bo$44b2o21b2o19b3o$87bo$87b2o3$90b2o9b2o26b2o7b2o$90bo11bo25bo
bo7b2o$88bobo11bobo21b3obobo$88b2o13b2o20bo5b2o39bo$125b2o45b3o$175bo
14bo$95bo78b2o12b3o$41bo51b3o91bo$41b3o48bo94b2o$44bo47b2o$43b2o$186b
2o$167b2o17b2o$167b2o3$61b2o$61bo$59bobo42b2o$59b2o43b2o11b2o51b2o$
117bo53bo$84b2o32b3o48bo$42b2o40bo35bo48b2o$42b2o15b2o24b3o85b2o$59bob
o25bo12b2o38b2o32bo$61bo38bo39bo30b3o$61b2o38b3o37b3o27bo$103bo39bo3$
42b2o$42bo$40bobo$40b2o4$57b2obo$57bob2o2$50b2o$50b2o122b2o$173bobo$
173bo29b2o$172b2o29bobo$205bo$178b2o25b2o$177bobo4b2o$40b2o135bo7bo$
41bo134b2o4b3o$41bobo138bo$42b2o146b2o$189bobo$189bo$188b2o$61bo$59b3o
$58bo$58b2o$206b2o$182bo23bobo$63b2o117b3o23bo$63b2o120bo22b2o$184b2o
14b2o$200b2o$73b2o$73bo$71bobo$71b2o$34b2o$33bobo$33bo$32b2o2$44b2o$
44b2o$160b2o7b2o30b2o$92b2o66b2o7bobo29bobo$92b2o45bo27bobob3o29bo$
139b3o25b2o5bo28b2o$142bo30b2o$90b2o49b2o$49b2o39b2o$48bobo26b2o43bo$
48bo29bo43b3o$47b2o29bobo44bo$79b2o43b2o11b2o$75b2o60b2o$75b2o4$177b2o
21b2o$66b2o108bobo21b2o$66bo109bo17b2o$64bobo21b2o85b2o17b2o$48b2o14b
2o22b2o$48b2o93b2o$52bo46b2o39b2o2bo2b2o47b2o$48b2o2b3o43bo2bo38b2obo
3bo41b2o5b2o$48b2o5bo42bobo23b2o17bobobo10b2o29b2o$54b2o43bo20bo3b2o
14b2obob2o12bo$119bobo12b2o4bo2bo12b3o$118bobo13b2o6b2o12bo$67b2o49bo$
66bobo48b2o$67bo$81b2o$81b2o4$47b2o$47b2o5$49bo$19b2o28b3o$12b2o5b2o
31bo92bo$12b2o37b2o90b3o11bo$47b2o93bo14b3o$47bo94b2o16bo14bo$14b2o33b
o109b2o12b3o$14b2o32b2o69bo52bo$8b2o109b3o50b2o$8b2o112bo$121b2o$171b
2o$152b2o17b2o$45b2o105b2o$45b2o17b2o$64b2o3$65b2o$65bo89b2o$52b2o12b
3o41bo23b2o20bo$35b2o16bo14bo40bobo22bo19bo$35bo14b3o57bo14b2o8b3o16b
2o$28bo7b3o11bo74bo11bo20b2o$26b3o9bo87b3o30bo$25bo102bo27b3o$25b2o
129bo$17b2o93b2o$17b2o92bobo$111bo$110b2o62b2o$126b2obo44bobo$126bob2o
46bo$176b2o$34b2o83b2o$34bo84b2o$32bobo$32b2o3$166b2o$166b2o2$157b2obo
$157bob2o2$36b2o$36bobo$38bo91b2o44b2o$38b2o90bo44bobo$28b2o98bobo44bo
$28b2o98b2o44b2o$9bob2o$9b2obo2$18b2o135b2o$18b2o136bo$156bobo$157b2o
15b2o$114b2o58b2o$114bo2b2o$115b2obo$116bo40b2o$28b2o86bobo4b2o31bobo$
28bo88b2o5bo31bo$26bobo94bo31b2o$26b2o68b2o25b2o$70bo25bo$58bo11b3o21b
obo$56b3o14bo20b2o$40bo14bo16b2o$40b3o12b2o70b2o44b2o$43bo58b2o24bo44b
o$4b2o36b2o59bo13b2o6b3o46b3o$5bo97bobo11b2o6bo50bo$5bobo96b2o$3b2ob2o
35b2o$2bobo38b2o17b2o$2bobo57b2o$b2ob2o20b2o$bo24bo$2bob2o18bobo108b2o
$obob2o18b2o109b2o$2o$59b2o32b2o$59bo20b2o11b2o$24b2o35bo19bo67b2o21b
2o$24bobo33b2o16b3o67bobo21b2o$26bo29b2o20bo53b2o14bo17b2o$26b3o27bo
75bo14b2o17b2o$29bo27b3o37b2o14b2o3b2o13bo$28b2o29bo38bo15bo3bo13b2o$
95b3o13b3o5b3o46b2o$95bo15bo9bo39b2o5b2o$161b2o4$18b2o$18b2o2$9b2o$10b
o$7b3o45b2o$7bo47b2o$15b2o32b2o$15bo33b2o$16bo$15b2o$51b2o$44b2o5b2o$
44b2o!""")
inserter2c3=pattern("""
51bo$49b3o$23b2o23bo$24bo23b2o$24bobo$25b2o2b2o37bo$29b2o35b3o15bo9bo$
65bo18b3o5b3o$52b2o11b2o20bo3bo$52b2o32b2o3b2o8$23b2o52b2o$22bobo16b2o
34b2o$22bo18bobo45b2o$21b2o20bo44bo2bo$37b2o4b2o44b2o4b2o$37bo2bo54bob
o$39b2o56bo$30b2o65b2o$30b2o20b2o33b2o$53bo34bo$50b3o32b3o$50bo34bo2$
19bo$19b3o$22bo$21b2o2$85b2o$85bo$86b3o$88bo2$40b2o$40bo$38bobo$38b2o
12$20b2o15b2o$19bobo15b2o$19bo$18b2o6$25bo$25b3o$28bo$27b2o28b2o$57bo$
55bobo$51b2o2b2o$51b2o4$50b2o4b2o$50b2o4b2o5$23b2o35bo$22bobo33b3o$22b
o34bo$21b2o34b2o$25b2o$25b2o3bo$29bobo6b2o$30bobo5b2o$32bo$32b2o$24b2o
$25bo$25bobo$26b2o2b2o$30b2o32b2o$64b2o4$59b2o$59b2o$63b2o$63b2o3$24b
2o31b2o$23bobo16b2o13b2o$23bo18bobo$22b2o20bo$38b2o4b2o$38bo2bo$40b2o$
31b2o$31b2o7$21b2o$22bo$22bobo$23b2o$39bo$37b3o$36bo$36b2o3$10b2o$10b
2o7$43b2o$43b2o4$38b2o$38b2o$2o40b2o$2o40b2o3$36b2o$21b2o13b2o$21bobo$
23bo$23b2o!""")
all=highway_robber(86,0) + connecting_neck(195,262) + transmitter2c3(347,219) \
+ wire2c3 + receiver2c3(2103,1763) + inserter2c3(2024,2042)
while g.numlayers()>1: g.dellayer()
all.display("Stable Pseudo-Heisenburp Device")
g.setmag(0)
setposint(120,200)
g.setname("Highway Robber")
g.clone()
g.setname("2c/3 Transmitter")
setposint(500,400)
g.clone()
g.setname("2c/3 Receiver")
setposint(2175,2000)
g.clone()
g.setname("Stable Pseudo-Heisenburp Device")
g.clone()
g.setname("Glider Fleet")
setposint(330,290)
# since the tiles change size depending on how many layers have been created,
# have to create all five layers before checking visibility of components --
# now go back and check that the critical areas are all visible:
g.setlayer(0)
while not g.visrect([100,100,150,175]): g.setmag(g.getmag()-1)
g.setlayer(1)
while not g.visrect([350,225,400,350]): g.setmag(g.getmag()-1)
g.setlayer(2)
while not g.visrect([2100,1750,225,300]): g.setmag(g.getmag()-1)
g.setlayer(3)
g.fit()
g.setlayer(4)
while not g.visrect([0,200,300,400]): g.setmag(g.getmag()-1)
g.update()
# -----------------------------------------------------
def show_status_text(s, d, t):
if d==-1:
if t==1:
g.show(s + "Speed is " + str(t) + " tick per step.")
else:
g.show(s + "Speed is " + str(t) + " ticks per step.")
else:
g.show(s + "Delay between ticks is " + str(d) + " seconds.")
# -----------------------------------------------------
# if there are multiple layers, get permission to remove them
if g.numlayers() > 1:
answer = g.getstring("All existing layers will be removed. OK?")
if lower(answer[:1]) == "n":
g.exit()
oldswitch = g.setoption("switchlayers", True) # allow user to switch layers
oldtile = g.setoption("tilelayers", True)
rule()
try:
burp()
finally:
# remove the cloned layers added by the script
while g.numlayers() > 1: g.dellayer()
g.setname("Stable Pseudo-Heisenburp Device")
g.setoption("tilelayers", oldtile)
g.setoption("switchlayers", oldswitch)
g.show("")
# t2=time()
# tempfile=g.getdir('rules')+'topoS_temptile'
# g.save(tempfile,'rle')
# t3=time()
# g.open(tempfile)
# t4=time()
# g.note('clist io %ims,temptile io %ims '%(1000*(t2-t1),1000*(t4-t3)))
for j in range(soupnum):
if out or next: break
g.show('processing topo %i, soup %i' % (posi, j))
g.new('')
g.open(tempfile)
g.setname(layername)
if debug == 'load': g.exit()
t1 = time()
# wd=soupwd*pbox.wd
# ht=soupwd*pbox.ht
# soupsel=[-int(wd/2),-int(ht/2),wd,ht]
wd = tilewd * pbox.wd
ht = tilewd * pbox.ht
boxsel = [-int(wd / 2), -int(wd / 2), wd, ht]
randfill_mash(boxsel, density)
while not oscillating():
t3 = time()
g.run(1)
g.exit()
numstates = len(progonly)
statedict = {}
for i in range(0, numstates, 2):
parts = progonly[i].split("; ")
statedict[parts[0]] = i
if g.getname()[:3] != "GPC":
g.new("Compiled " + progname)
GPClayer = -1
else:
GPClayer = g.getlayer()
g.addlayer()
g.setname("Compiled " + progname)
g.putcells(startpat)
firstreflx, firstrefly = -1, -1
for k in range(0, numstates, 2):
g.putcells(Snark_N, 184 + k * 72, -20 + k * 56)
g.putcells(Snark_E, -2177 + numstates * 72 + len(outputdict) * 16,
-2369 - k * 16 + numstates * 72 + len(outputdict) * 16)
g.putcells(
Snark_S, -7121 - k * 24 - len(outputdict) * 32 + len(outputdict) * 16 +
numstates * 72, 2567 + k * 8 + len(outputdict) * 32 +
len(outputdict) * 16 + numstates * 72)
# The '72' above is mostly 64 per Z/NZ program row, but also 16 more cells diagonally for each state
# (there are only half as many states as rows) to leave enough space for all the reflectors at the bottom.
for i in range(numstates):
g.putcells(startpatt) # copy starting pattern into this layer
startindex = g.addlayer() # create layer for starting pattern
g.setcolors([-1, 0, 255, 0]) # set all states to green
g.putcells(startpatt) # copy starting pattern into this layer
# move currindex to above the envelope and starting pattern
g.movelayer(currindex, envindex)
g.movelayer(envindex, startindex)
currindex = startindex
startindex = currindex - 1
envindex = currindex - 2
# name the starting and envelope layers so user can run script
# again and continue from where it was stopped
g.setname(startname, startindex)
g.setname(envname, envindex)
# ------------------------------------------------------------------------------
def envelope():
# draw stacked layers using same location and scale
g.setoption("stacklayers", 1)
g.show("Hit escape key to stop script...")
while True:
g.run(1)
if g.empty():
g.show("Pattern died out.")
break
for x, y, z in cells:
if x <= ox + offset // 2:
if z == 3:
example_cells.append(x - ox)
example_cells.append(y - oy)
elif z == 1:
start_cells.append(x - ox)
start_cells.append(y - oy)
else:
if z == 1:
on_cells.append((x - ox - offset, y - oy))
elif z == 2:
off_cells.append((x - ox - offset, y - oy))
results_layer = g.addlayer()
g.setname("Results")
g.setrule("Life")
g.setalgo("QuickLife")
work_layer = g.addlayer()
g.setname("Work area")
g.putcells(start_cells)
g.putcells(example_cells)
g.run(delay)
if not all(g.getcell(x, y)
for x, y in on_cells) or any(g.getcell(x, y) for x, y in off_cells):
g.warn("Warning: the example pattern is not a solution")
results = 0